US20140257866A1 - Systems and methods for processing additional distance units for distance-based insurance policies - Google Patents
Systems and methods for processing additional distance units for distance-based insurance policies Download PDFInfo
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- US20140257866A1 US20140257866A1 US14/202,812 US201414202812A US2014257866A1 US 20140257866 A1 US20140257866 A1 US 20140257866A1 US 201414202812 A US201414202812 A US 201414202812A US 2014257866 A1 US2014257866 A1 US 2014257866A1
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C1/00—Tyres characterised by the chemical composition or the physical arrangement or mixture of the composition
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0208—Trade or exchange of goods or services in exchange for incentives or rewards
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096838—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the user preferences are taken into account or the user selects one route out of a plurality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Definitions
- the present disclosure generally relates to vehicle insurance policies and, more particularly, to systems and methods for facilitating offers associated with distance-based insurance policies.
- Vehicle or automobile insurance exists to provide financial protection against physical damage and/or bodily injury resulting from traffic accidents and against liability that could arise therefrom.
- a customer purchases a vehicle insurance policy for a policy rate having a specified term.
- the insurer pays for damages to the insured which are caused by covered perils, acts, or events as specified by the language of the insurance policy.
- the payments from the insured are generally referred to as “premiums,” and typically are paid on behalf of the insured over time at periodic intervals.
- An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy.
- An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy, or if the insured or the insurer cancels the policy.
- distance-based insurance whereby a customer purchases an insurance policy that offers coverage for a specified amount of distance units.
- one distance-based insurance policy may offer coverage for 100 miles of travel by a particular vehicle.
- These vehicle insurance policies may also have an associated policy term. Referring back to the example, the 100 miles of coverage may have a policy term of 1 month.
- insurance coverage for the customer may cease.
- a computer-implemented method of processing insurance coverage includes facilitating, by one or more processors, a purchase transaction with a customer for a distance-based insurance policy associated with a vehicle, a coverage provided by the insurance policy (1) is based on an expiration odometer value defined as the sum of an initial odometer reading of the vehicle and an amount of distance units specified by the distance-based insurance policy, and (2) expires at the end of a policy term.
- the method further includes, before the policy term expires, receiving a subsequent odometer reading of the vehicle and, based on the subsequent odometer reading, determining, by the one or more processors, that the expiration odometer value has been reached.
- the method includes facilitating, by the one or more processors, an additional purchase transaction with the customer for an additional amount of distance units.
- the method may facilitate the additional purchase transaction before the expiration odometer value has been reached, such as if the expiration odometer value is close to being reached.
- a method on an electronic device associated with a vehicle includes facilitating, by one or more processors, a purchase transaction with an insurance provider for a distance-based insurance policy associated with the vehicle, a coverage provided by the insurance policy (1) is based on an expiration odometer value defined as the sum of an initial odometer reading of the vehicle and an amount of distance units specified by the distance-based insurance policy, and (2) expires at the end of a policy term.
- the method further includes, before the policy term expires, detecting, by the one or more processors, that the expiration odometer value has been reached, notifying the insurance provider that the expiration odometer value has been reached, and facilitating, by the one or more processors, an additional purchase transaction with the insurance provider for an additional amount of distance units.
- a system for processing insurance coverage includes a communication module adapted to communicate data, a memory adapted to store non-transitory computer executable instructions, and a processor adapted to interface with the communication module.
- the processor is configured to execute the non-transitory computer executable instructions to cause the processor to facilitate a purchase transaction with a customer for a distance-based insurance policy associated with a vehicle, a coverage provided by the insurance policy (1) is based on an expiration odometer value defined as the sum of an initial odometer reading of the vehicle and an amount of distance units specified by the distance-based insurance policy, and (2) expires at the end of a policy term.
- the processor is further configured to, before the policy term expires, receive a subsequent odometer reading of the vehicle via the communication module and, based on the subsequent odometer reading, determine that the expiration odometer value has been reached. Additionally, the processor is configured to facilitate an additional purchase transaction with the customer for an additional amount of distance units.
- FIG. 1 depicts an example environment including components and entities associated with processing distance-based vehicle insurance policies in accordance with some embodiments.
- FIG. 2 depicts an example diagram associated with facilitating the purchase of additional distance units for existing distance-based vehicle insurance policies in accordance with some embodiments.
- FIGS. 3A-3C depict example interfaces associated with reviewing and selecting additional distance units to purchase in accordance with some embodiments.
- FIG. 4 depicts a flow diagram associated with an insurance provider facilitating the purchase of additional distance units for an existing distance-based vehicle insurance policy in accordance with some embodiments.
- FIG. 5 depicts a flow diagram associated with a customer facilitating the purchase of additional distance units for an existing distance-based vehicle insurance policy in accordance with some embodiments.
- FIG. 6 is a block diagram of a processing server in accordance with some embodiments.
- a distance-based insurance policy for a vehicle is defined by a certain amount of distance units and a policy term or expiration time. Each distance unit corresponds to a certain distance that is travelable by the vehicle. Accordingly, the vehicle and a customer associated with the vehicle (e.g., the vehicle owner or operator) may be covered by the insurance policy while the policy term is in force and as long as the vehicle does not travel in excess of the amount of distance units.
- the systems and methods are configured to enable customers to purchase additional distance units before the expiration of the policy term so that the customer is continuously covered by the insurance policy.
- the customer, vehicle, or insurance provider may monitor the amount of original distance units during the policy term. If at some point there are few or no remaining distance units, the insurance provider may offer the customer additional distance units, which the customer can select to purchase.
- the systems and methods therefore offer a benefit to customers by enabling customers to purchase what is effectively additional distance-based vehicle insurance in situations in which the customers may not be otherwise covered. Therefore, the customers may continuously have vehicle insurance when the customers may not have otherwise foreseen using all original distance units during a policy term. Further, insurance providers may be able to attract more customers and/or process more insurance policies.
- FIG. 1 depicts an example environment 100 associated with processing distance-based vehicle insurance policies. Although FIG. 1 depicts certain entities, components, and devices, it should be appreciated that additional or alternate entities and components are envisioned.
- the environment 100 includes a vehicle 105 that may be any type of car, automobile, truck, motorcycle, fleet of vehicles, marine vessel, or other vehicle capable of being driven or operated by a driver or operator.
- vehicle 105 has an electronic device 106 associated therewith.
- the electronic device 106 may be installed as an on-board dash of the vehicle 105 , such as part of an original equipment manufacturer (OEM) installation on the vehicle 105 .
- OEM original equipment manufacturer
- the electronic device 106 may belong to a driver or operator of the vehicle 105 (generally, a “vehicle operator”).
- the electronic device 106 may be a smartphone of the vehicle operator. It should be appreciated that other types of electronic devices are envisioned, such as notebook computers, tablets, GPS devices, and/or the like.
- the electronic device 106 can be configured to communicate with an insurance provider 110 via a network 120 .
- the network 120 can facilitate any type of data communication via any standard or technology (e.g., GSM, CDMA, TDMA, WCDMA, LTE, EDGE, OFDM, GPRS, EV-DO, UWB, IEEE 802 including Ethernet, WiMAX, and/or others).
- the insurance provider 110 can be any individual, group of individuals, company, corporation, or other type of entity that can offer and issue insurance policies for customers, such as a vehicle insurance policy for the vehicle 105 .
- the insurance provider 110 can include one or more processing server(s) 125 configured to facilitate the functionalities as discussed herein.
- FIG. 1 depicts the processing server 125 as a part of the insurance provider 110 , it should be appreciated that the processing server 125 can be separate from (and connected to or accessible by) the insurance provider 110 .
- the insurance provider 110 may offer and ultimately issue, to the vehicle operator, a distance-based insurance policy associated with the vehicle 105 .
- the distance-based insurance policy may provide coverage for the vehicle operator and/or the vehicle 105 .
- the distance-based insurance policy provides coverage for a certain amount of distance units to be driven by the vehicle 105 .
- a distance-based insurance policy may provide coverage for 50 miles, 500 miles, or other distances.
- the vehicle operator purchases a distance-based insurance policy from the insurance provider 110 , the vehicle operator will provide an initial odometer reading of the vehicle 105 to the insurance provider 110 .
- the insurance provider 110 may obtain the initial odometer reading directly from the electronic device 106 or another device associated with the vehicle 105 (e.g., an on-board component).
- the distance-based insurance policy has an “expiration odometer value” defined as the sum of the initial odometer reading and the specified amount of distance units covered by the insurance policy. For example, if the initial odometer reading is 80,500 miles and the specified amount of distance units is 500 miles, the expiration odometer value is 81,000 miles.
- the distance-based insurance policies may also specify an expiration date or time, or policy term, within which the vehicle operators may use their distance units (e.g., by driving their vehicles). For example, if a distance-based insurance policy insures 500 miles and has a policy term of 6 months, then the vehicle operator (and/or the vehicle 105 , depending on the coverage) is insured for an operating distance of 500 miles assuming that those miles are driven within the 6 month policy term. In embodiments, the unused distance units may expire or lapse upon expiration of the policy term. Therefore, absent a renewal or purchase of additional distance units, the vehicle operator and/or the vehicle 105 will not be insured past the policy term, even if there remain any unused distance units.
- the expiration date of the policy is June 30, whereby neither the vehicle operator nor the vehicle 105 is insured according to the policy beginning on July 1, even if there are unused distance units.
- a vehicle operator may use up all of the allotted distance units before the expiration of the policy term.
- the vehicle operator and/or the vehicle 105
- the vehicle operator may not be covered under an insurance policy if there are no remaining distance units, even if the insurance policy is still in force. Accordingly, the vehicle operator may want to purchase additional distance units or otherwise be presented with an option to purchase additional distance units.
- the insurance provider 110 (or the electronic device 106 ) can determine when there are no remaining distance units during a policy term.
- the insurance provider 110 can also generate a quote for an additional amount of distance units, and provide the quote to the vehicle operator.
- the additional amount of distance units may be based on the amount of used distance units and a time remaining in the policy term.
- the vehicle operator can review the quote, and select to purchase the additional amount of distance units or request a modified quote for a different amount of distance units.
- the insurance provider 110 (or the electronic device) can automatically charge the vehicle operator (or automatically process a payment) for the additional distance units in response to determining that no original distance units remain.
- the processing server 125 can be coupled to a database 115 configured to store data associated with vehicle insurance policies.
- the database 115 is configured to store and maintain accounts for the vehicle operators, whereby the accounts specify the terms of the distance-based insurance policies.
- the processing server 125 may be configured to interface with the database 115 to monitor expiration dates of the distance-based insurance policies, as well as process the purchase of additional distance units.
- FIG. 2 illustrated is a signal diagram 200 associated with managing distance units associated with distance-based insurance policies.
- FIG. 2 includes a vehicle/customer device 206 (such as the electronic device 106 as described with respect to FIG. 1 ) and an insurance provider 210 (such as the insurance provider 110 as described with respect to FIG. 1 ).
- the vehicle/customer device 206 may include any electronic device associated with the vehicle (e.g., an on-board dash system) and/or any electronic device associated with a user/driver/operator of the vehicle (e.g., a vehicle operator's smartphone, laptop, etc.).
- the insurance provider 210 may communicate with multiple vehicle/customer devices 206 to manage distance units associated with distance-based insurance policies.
- the signal diagram 200 may begin when a customer (i.e., vehicle operator) uses the vehicle/customer device 206 to send a request ( 222 ) to the insurance provider 210 for a distance-based insurance policy.
- the distance-based insurance policy provides insurance coverage for the vehicle and the vehicle operator for a set amount of distance units (e.g., miles, kilometers, etc.).
- the customer may use the vehicle/customer device 206 to provide ( 224 ) an initial odometer reading, and optionally a desired amount of distance units and a desired policy term. For example, the customer may request an insurance policy for 1,000 miles having a policy term of 6 months.
- the customer may provide the initial odometer reading manually (e.g., by entering the odometer reading into an application of the vehicle/customer device 206 ) or via an indirect channel (e.g., taking a picture of the odometer in the vehicle and transmitting the picture to the insurance provider 110 ). Further, the vehicle/customer device 206 may be configured to automatically provide the initial odometer reading to the insurance provider 210 . It should be appreciated that other techniques and channels for transmitting the initial odometer reading are envisioned.
- the insurance provider 210 may assess an underwriting risk of the customer based on various customer data, as known in the art, and provide an insurance quote to the vehicle/customer device 206 .
- the insurance quote may offer a distance-based insurance policy with terms that are the same as or different from the originally-requested terms (e.g., fewer or more distance units, shorter or longer policy term, etc.).
- the vehicle/customer device 206 and the insurance provider 210 may facilitate ( 226 ) a purchase transaction for the distance-based insurance policy according to the insurance quote, after which the distance-based insurance policy may be deemed active. Accordingly, the initial odometer reading may serve as the “starting point” for the insurance policy.
- the insurance provider 210 can calculate and record ( 227 ) an expiration odometer reading, which can be defined as the sum of the initial odometer reading and the amount of distance units specified by the insurance policy.
- the insurance provider 210 can provide ( 228 ) the expiration odometer value to the vehicle/customer device 206 so that the vehicle/customer device 206 may monitor the expiration odometer value. It should be appreciated that the customer may facilitate the purchase transaction and the terms of the distance-based insurance policy via other techniques or channels, such as via a phone call with the insurance provider 210 or via meeting with an agent of the insurance provider 210 .
- the insurance provider 210 and/or the vehicle/customer device 206 can monitor the remaining amount of distance units throughout the policy term and before the policy term expires, according to various techniques.
- the insurance provider 210 can optionally request ( 230 ) the vehicle/customer device 206 for a subsequent odometer reading.
- the vehicle/customer device 206 can provide ( 232 ) the subsequent odometer reading to the insurance provider 210 , for example via one or more manual or automatic techniques as discussed herein.
- the insurance provider 210 can determine ( 234 ) whether the expiration odometer value has been reached (i.e., whether the amount of distance units has been exhausted).
- the insurance provider 210 can determine that the expiration odometer value is close to being reached. For example, the expiration odometer value may be close to being reached if a difference between the subsequent odometer reading and the expiration odometer value is below a threshold amount (e.g., 100 distance units, 50 distance units, ten (10) distance units, five (5) distance units, etc.). The threshold amount may be based on the original amount of distance units.
- a threshold amount e.g., 100 distance units, 50 distance units, ten (10) distance units, five (5) distance units, etc.
- the threshold amount may be 5% of that amount (or 50 distance units). If the insurance provider 210 determines that the expiration odometer value has not been reached (“NO”), the insurance provider 210 (and/or the vehicle/customer device 206 ) can return to monitoring the remaining amount of distance units.
- the vehicle/customer device 206 can monitor the odometer of the vehicle during the policy term and detect when the amount of distance units is exhausted. Responsive to the detection, the vehicle/customer device 206 can notify the insurance provider 210 that no distance units remain. Further, although the embodiments herein describe monitoring for distance unit expiration (or determining when the distance units expire), it should be appreciated that certain functionalities may trigger when the distance units are close to running out or expiring. For example, the insurance provider 210 may determine that the customer has 10 remaining miles, and may at that point generate an offer for additional miles. Therefore, the customer may be given more time to decide whether to purchase additional distance units as well as more time to facilitate the purchase of the additional distance units.
- the insurance provider 210 can estimate 236 an additional amount of distance units that the customer may wish to purchase.
- the customer may want to purchase an amount of additional distance units that will last until the end of the policy term but will result in a minimum amount of distance units that remain at the end of the policy term (i.e., an amount of additional distance units that is commensurate with the customer's pace in exhausting the original distance units).
- the insurance provider 210 can estimate the additional amount of distance units based on the subsequent odometer reading (and accordingly the original amount of distance units) as well as the time remaining in the policy term.
- the insurance provider 210 can estimate that the customer may need another 1,000 miles to last for the remaining 3 months of the 6-month policy term. It should be appreciated that the vehicle/customer device 206 may similarly estimate the additional amount of distance units using the available data.
- the insurance provider 210 can generate an offer for the additional amount of distance units and provide ( 238 ) the offer to the vehicle/customer device 206 .
- the offer may be an extension of the original distance-based insurance policy, or may constitute a separate distance-based insurance policy. Further, the offer can include a price or cost of the additional amount of distance units, whereby the price or cost may be based on various factors such as the amount of additional distance units, the time remaining in the policy term, and/or other factors. It should be appreciated that the cost of each of the additional amount of distance units may be the same as or different from the cost of each of the original distance units. In embodiments, the additional amount of distance units may expire at the end of the original policy term, however it should be appreciated that the additional amount of distance units may have a different policy term than the original policy term.
- the customer may use the vehicle/customer device 206 to select ( 240 ) the offer for the additional distance units.
- the customer may use the vehicle/customer device 206 to request a different amount of additional distance units (which the insurance provider 210 may or may not approve, or which may or may not result in changes to the quote).
- the vehicle/customer device 206 and the insurance provider 210 may facilitate ( 242 ) a purchase transaction for the additional amount of distance units according to the insurance quote, after which the distance-based insurance policy may once again be deemed active.
- the vehicle/customer device 206 can be configured to automatically purchase additional distance units when it is determined that the original amount of distance units have expired.
- the insurance provider 210 may automatically charge the customer for the additional distance units when the insurance provider 210 determines that no original distance units remain.
- the customer may purchase additional distance units at any point during the policy term of the insurance policy. For example, the customer may envision going on a long road trip that necessitates more miles than are in a customer account. The customer may therefore explicitly request additional distance units which the insurance provider may offer to the customer for purchase.
- FIGS. 3A-3C illustrate example interfaces associated with purchasing additional distance units for a distance-based vehicle insurance policy.
- a vehicle or a customer device e.g., an on-board dash system, a smartphone, etc.
- a dedicated application that is configured to operate on the vehicle or consumer device may display the interfaces.
- the interfaces are merely examples and that alternative or additional content is envisioned. Further, it should be appreciated that alternative devices or machines may display the example interfaces.
- FIG. 3A illustrates an interface 348 that notifies a customer that all of an original amount of distance units have expired.
- an insurance provider may notify the vehicle/customer device when the distance units have expired, which can cause the vehicle/customer device to display the interface 348 .
- the interface 348 also indicates an option for the user to purchase additional distance units (“Would you like to purchase additional miles?”).
- the interface 348 includes a “no thanks” selection 349 that enables the customer to exit the purchasing functionality and a “yes” selection 350 that enables the customer to proceed to purchase additional distance units.
- the insurance provider may provide a notification to the customer that the original amount of distance units are about to expire (such as if the remaining amount of distance units falls below a certain threshold).
- the notification can also enable the customer to purchase additional distance units so as to prevent the amount of distance units from expiring.
- FIG. 3B illustrates an interface 352 that the vehicle/customer device may display in response to the user selecting the yes selection 350 of FIG. 3A .
- the interface 352 indicates an amount of additional distance units available for purchase and that expire at the end of the policy term. In particular, the interface 352 indicates the availability to purchase 500 additional miles for $25.00.
- the insurance provider may estimate the amount of additional distance units and determine the price for the additional distance units according to the techniques discussed herein.
- the interface 352 also includes a “no thanks” selection 353 that enables the customer to exit the purchasing functionality and a “yes” selection 355 that enables the customer to proceed to purchase additional distance units. Further, the interface 352 includes a modify selection 354 that enables the customer to modify one or more of the terms of the additional distance units. For example, the customer may request the insurance provider for fewer or more additional distance units (which may or may not result in a change in price for the additional distance units).
- FIG. 3C illustrates an interface 357 that the vehicle/customer device may display in response to the user selecting the yes selection 355 of FIG. 3B .
- there may be intermediate interfaces that enable the customer to facilitate the purchase transaction for the additional distance units e.g., an interface to input payment information.
- the interface 357 indicates that the purchase of the additional distance units has been processed, and that the customer has additional distance units added to his or her account.
- the interface 357 includes an “okay” selection 358 that enables the customer to dismiss the interface 357 .
- FIG. 4 depicted is a block diagram of an example method 400 for enabling a customer to purchase additional distance units for a distance-based insurance policy associated with a vehicle.
- the method 400 may be facilitated between the insurance provider 110 (and specifically the processing server 125 ) as depicted in FIG. 1 and a customer associated with the vehicle.
- the customer may access any type of electronic or computing device (such as the electronic device 106 ) to provide data and make appropriate selections.
- the insurance provider can receive (block 405 ), from the customer, a request for a distance-based insurance policy associated with the vehicle, as well as an initial odometer reading of the vehicle.
- the request can include a desired amount of distance units for the distance-based insurance policy.
- the insurance provider can facilitate (block 410 ) a purchase transaction with the customer for the distance-based insurance policy, where the distance-based insurance policy expires at the end of a policy term (i.e., has a pre-determined expiration time).
- the distance-based insurance policy also specifies an amount of distance units (which may be the same as or different from the desired amount of distance units).
- the insurance provider can calculate and record (block 415 ) an expiration odometer value.
- the expiration odometer value can be defined as a sum of the initial odometer reading and the amount of distance units specified by the insurance policy.
- the insurance provider can also provide the expiration odometer value to the customer.
- the insurance provider can optionally request a subsequent odometer reading of the vehicle before the end of the policy term.
- the subsequent odometer reading can be automatically retrieved or manually inputted by the customer.
- the insurance provider can receive (block 425 ) the subsequent odometer reading of the vehicle.
- the customer can automatically provide the subsequent odometer reading without the insurance provider having to send the request.
- the insurance provider can determine (block 430 ) whether the expiration odometer value has been reached. In particular, the insurance provider can compare the subsequent odometer reading with the expiration odometer value to determine whether the subsequent odometer reading meets or exceeds the expiration odometer value. The insurance provider can also determine when the expiration odometer value is close to being reached. For example, the difference between the subsequent odometer reading and the expiration odometer value can fall below a threshold amount. In some embodiments, the customer may automatically provide the subsequent odometer reading when the expiration odometer value is reached so that the insurance provider need not perform the determination of block 430 .
- processing can return to block 420 or proceed to any other functionality. It should be appreciated that the insurance provider may then periodically request the subsequent odometer reading from the customer. If the insurance provider determines that the expiration odometer value has been reached (“YES”), processing can proceed to block 435 at which the insurance provider can estimate an additional amount of distance units for the policy term. In particular, the insurance provider can estimate the additional amount of distance units based on the subsequent odometer reading and a time remaining on the policy term.
- the insurance provider can provide (block 440 ) the customer with an offer for the additional amount of distance units.
- the additional amount of distance units may have an average cost that is more (or less) than the average cost of the original distance units. Further, the additional amount of distance units may also expire at the end of the policy term, or they may have a different policy term.
- the customer can accept the offer and the insurance provider can facilitate (block 445 ) an additional purchase transaction with the customer for the additional amount of distance units. In some cases, the insurance provider may automatically facilitate the additional purchase transaction with the customer in response to the customer reaching the expiration odometer value.
- FIG. 5 depicted is a block diagram of an example method 500 for purchasing, from an insurance provider, additional distance units for a distance-based insurance policy associated with a vehicle.
- the method 500 may be facilitated by a customer associated with the vehicle.
- the customer may access any type of electronic or computing device (such as the electronic device 106 ) to communicate with an insurance provider, such as the insurance provider 110 (and specifically the processing server 125 ) as depicted in FIG. 1 .
- the customer can request (block 505 ) the insurance provider for a distance-based insurance policy associated with the vehicle, where the request includes an initial odometer reading of the vehicle.
- the request can indicate a desired amount of distance units for the distance-based insurance policy.
- the customer can facilitate (block 510 ) a purchase transaction with the insurance provider for the distance-based insurance policy, where the distance-based insurance policy expires at the end of a policy term (i.e., has a pre-determined expiration time).
- the distance-based insurance policy also specifies an amount of distance units (which may be the same as or different from the desired amount of distance units).
- the customer can receive and record (block 515 ) an expiration odometer value.
- the expiration odometer value can be defined as a sum of the initial odometer reading and the amount of distance units specified by the insurance policy.
- the customer may automatically calculate the expiration odometer value.
- the customer may monitor (block 520 ) or identify the current odometer value of the vehicle.
- the customer can also determine (block 525 ), based on the current odometer value, whether the expiration odometer value has been reached.
- the customer can compare the current odometer reading to the expiration odometer value to determine whether the current odometer reading meets or exceeds the expiration odometer value. It should be appreciated that the customer may automatically determine when the current odometer reading reaches the expiration odometer value.
- the customer may determine when the current odometer reading is close to reaching the expiration odometer value, such as when the difference between the current odometer reading and the expiration odometer value falls below a threshold amount.
- processing can return to block 520 or proceed to any other functionality. If the customer determines that the expiration odometer value has been reached (“YES”), processing can proceed to block 530 at which the customer can estimate an additional amount of distance units for the policy term. In particular, the customer can estimate the additional amount of distance units based on the current odometer reading and a time remaining on the policy term.
- the customer can provide (block 535 ) the insurance provider with an indication of the additional amount of distance units. According to embodiments, the insurance provider can generate a quote for the additional amount of distance units.
- the customer can receive (block 540 ) an offer for the additional amount of distance units from the insurance provider.
- the additional amount of distance units may have an average cost that is more (or less) than the average cost of the original distance units. Further, the additional amount of distance units may also expire at the end of the policy term, or they may have a different policy term.
- the customer can accept the offer for the additional distance units, for example via a user interface of the electronic device. Responsive to accepting the offer, the customer can facilitate (block 545 ) an additional purchase transaction with the insurance provider for the additional amount of distance units. In some cases, the customer may automatically purchase the additional amount of distance units in response to the vehicle reaching the expiration odometer value.
- FIG. 6 illustrates a diagram of an example processing server 625 (such as the processing server 125 discussed with respect to FIG. 1 ) in which the functionalities as discussed herein may be implemented. It should be appreciated that the processing server 625 can be associated with an insurance provider, as discussed herein.
- the processing server 625 can include a processor 622 as well as a memory 678 .
- the memory 678 can store an operating system 679 capable of facilitating the functionalities as discussed herein as well as a set of applications 675 (i.e., machine readable instructions).
- one of the set of applications 675 can be a policy processing application 684 configured to facilitate the offering and purchase of distance-based insurance policies. It should be appreciated that other applications are envisioned.
- the processor 622 can interface with the memory 678 to execute the operating system 679 and the set of applications 675 .
- the memory 678 can also include customer account information 680 that includes information related to accounts of customers, including insurance policies and credits associated therewith.
- the policy processing application 684 may interface with the customer account information 680 to retrieve relevant information that the policy processing application 684 may use to process insurance policies and terms associated therewith.
- the memory 678 can include one or more forms of volatile and/or non-volatile, fixed and/or removable memory, such as read-only memory (ROM), electronic programmable read-only memory (EPROM), random access memory (RAM), erasable electronic programmable read-only memory (EEPROM), and/or other hard drives, flash memory, MicroSD cards, and others.
- the processing server 625 can further include a communication module 677 configured to communicate data via one or more networks 620 .
- the communication module 677 can include one or more transceivers (e.g., WWAN, WLAN, and/or WPAN transceivers) functioning in accordance with IEEE standards, 3GPP standards, or other standards, and configured to receive and transmit data via one or more external ports 676 .
- the communication module 677 can send, via the network 620 , requests for odometer information and/or credit options and receive relevant data and selections.
- the processing server 625 may further include a user interface 681 configured to present information to a user and/or receive inputs from the user. As shown in FIG.
- the user interface 681 includes a display screen 682 and I/O components 683 (e.g., ports, capacitive or resistive touch sensitive input panels, keys, buttons, lights, LEDs, speakers, microphones).
- I/O components 683 e.g., ports, capacitive or resistive touch sensitive input panels, keys, buttons, lights, LEDs, speakers, microphones.
- the user may access the processing server 625 via the user interface 681 to process insurance policies and/or perform other functions.
- the processing server 625 can perform the functionalities as discussed herein as part of a “cloud” network or can otherwise communicate with other hardware or software components within the cloud to send, retrieve, or otherwise analyze data.
- a computer program product in accordance with an embodiment includes a computer usable storage medium (e.g., standard random access memory (RAM), an optical disc, a universal serial bus (USB) drive, or the like) having computer-readable program code embodied therein, wherein the computer-readable program code is adapted to be executed by the processor 622 (e.g., working in connection with the operating system 679 ) to facilitate the functions as described herein.
- the program code may be implemented in any desired language, and may be implemented as machine code, assembly code, byte code, interpretable source code or the like (e.g., via C, C++, Java, Actionscript, Objective-C, Javascript, CSS, XML).
- the computer program product may be part of a cloud network of resources.
- routines, subroutines, applications, or instructions may constitute either software (e.g., code embodied on a non-transitory, machine-readable medium) or hardware.
- routines, etc. are tangible units capable of performing certain operations and may be configured or arranged in a certain manner.
- one or more computer systems e.g., a standalone, client or server computer system
- one or more hardware modules of a computer system e.g., a processor or a group of processors
- software e.g., an application or application portion
- a hardware module may be implemented mechanically or electronically.
- a hardware module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain operations.
- a hardware module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
- the term “hardware module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein.
- hardware modules are temporarily configured (e.g., programmed)
- each of the hardware modules need not be configured or instantiated at any one instance in time.
- the hardware modules comprise a general-purpose processor configured using software
- the general-purpose processor may be configured as respective different hardware modules at different times.
- Software may accordingly configure a processor, for example, to constitute a particular hardware module at one instance of time and to constitute a different hardware module at a different instance of time.
- Hardware modules can provide information to, and receive information from, other hardware modules. Accordingly, the described hardware modules may be regarded as being communicatively coupled. Where multiple of such hardware modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware modules. In embodiments in which multiple hardware modules are configured or instantiated at different times, communications between such hardware modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware modules have access. For example, one hardware module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware modules may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
- a resource e.g., a collection of information
- processors may be temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions.
- the modules referred to herein may, in some example embodiments, comprise processor-implemented modules.
- the methods or routines described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented hardware modules. The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment or as a server farm), while in other embodiments the processors may be distributed across a number of locations.
- the performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines.
- the one or more processors or processor-implemented modules may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the one or more processors or processor-implemented modules may be distributed across a number of geographic locations.
- any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment.
- the appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
- Coupled and “connected” along with their derivatives.
- some embodiments may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact.
- the term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still cooperate or interact with each other.
- the embodiments are not limited in this context.
- insurance policy generally refers to a contract between an insurer and an insured. In exchange for payments from the insured, the insurer pays for damages to the insured which are caused by covered perils, acts or events as specified by the language of the insurance policy.
- the payments from the insured are generally referred to as “premiums,” and typically are paid on behalf of the insured upon purchase of the insurance policy or over time at periodic intervals.
- the amount of the damages payment is generally referred to as a “coverage amount” or a “face amount” of the insurance policy.
- An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy.
- An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when the parameters of the insurance policy have expired, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy (e.g., for variable life or universal life insurance policies), or if the insured or the insurer cancels the policy.
- an insurance provider is used interchangeably herein to generally refer to a party or entity (e.g., a business or other organizational entity) that provides insurance products, e.g., by offering and issuing insurance policies.
- an insurance provider may be an insurance company.
- an insurance provider may offer or provide one or more different types of insurance policies.
- Other types of insurance policies may include, for example, homeowners insurance; condominium owner insurance; renter's insurance; life insurance (e.g., whole-life, universal, variable, term); health insurance; disability insurance; long-term care insurance; annuities; business insurance (e.g., property, liability, commercial auto, workers compensation, professional and specialty liability, inland marine and mobile property, surety and fidelity bonds); boat insurance; insurance for catastrophic events such as flood, fire, volcano damage and the like; motorcycle insurance; farm and ranch insurance; personal article insurance; personal liability insurance; personal umbrella insurance; community organization insurance (e.g., for associations, religious organizations, cooperatives); and other types of insurance products.
- the insurance providers process claims related to insurance policies that cover one or more properties (e.g., homes, automobiles, personal articles), although processing other insurance policies is also envisioned.
- insured generally refers to a person, party or entity that is responsible for payment of the insurance premiums.
- the guarantor may or may not be the same party as the insured, such as in situations when a guarantor has power of attorney for the insured.
- an “annuitant,” as referred to herein, generally refers to a person, party or entity that is entitled to receive benefits from an annuity insurance product offered by the insuring party.
- the annuitant may or may not be the same party as the guarantor.
- a person or customer (or an agent of the person or customer) of an insurance provider fills out an application for an insurance policy.
- the data for an application may be automatically determined or already associated with a potential customer.
- the application may undergo underwriting to assess the eligibility of the party and/or desired insured article or entity to be covered by the insurance policy, and, in some cases, to determine any specific terms or conditions that are to be associated with the insurance policy, e.g., amount of the premium, riders or exclusions, waivers, and the like.
- the insurance policy may be in-force, (i.e., the policyholder is enrolled).
- the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion.
- a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
- “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).
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Abstract
Description
- This application claims the benefit of U.S. Provisional Application No. 61/775,652, filed Mar. 10, 2013, which is incorporated by reference herein.
- The present disclosure generally relates to vehicle insurance policies and, more particularly, to systems and methods for facilitating offers associated with distance-based insurance policies.
- Vehicle or automobile insurance exists to provide financial protection against physical damage and/or bodily injury resulting from traffic accidents and against liability that could arise therefrom. Typically, a customer purchases a vehicle insurance policy for a policy rate having a specified term. In exchange for payments from the insured customer, the insurer pays for damages to the insured which are caused by covered perils, acts, or events as specified by the language of the insurance policy. The payments from the insured are generally referred to as “premiums,” and typically are paid on behalf of the insured over time at periodic intervals. An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy. An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy, or if the insured or the insurer cancels the policy.
- Various vehicle insurance providers offer “distance-based” insurance whereby a customer purchases an insurance policy that offers coverage for a specified amount of distance units. For example, one distance-based insurance policy may offer coverage for 100 miles of travel by a particular vehicle. These vehicle insurance policies may also have an associated policy term. Referring back to the example, the 100 miles of coverage may have a policy term of 1 month. However, there are situations in which the customer may run out of a specified amount of distance units before the expiration of the policy term. At this point, insurance coverage for the customer may cease.
- Accordingly, there is an opportunity for systems and methods to offer additional distance units to customers having distance-based vehicle insurance policies. In particular, there is an opportunity for systems and methods to facilitate the purchase of additional distance units in situations in which the policy is still in force but no original distance units remain.
- In an embodiment, a computer-implemented method of processing insurance coverage is provided. The method includes facilitating, by one or more processors, a purchase transaction with a customer for a distance-based insurance policy associated with a vehicle, a coverage provided by the insurance policy (1) is based on an expiration odometer value defined as the sum of an initial odometer reading of the vehicle and an amount of distance units specified by the distance-based insurance policy, and (2) expires at the end of a policy term. The method further includes, before the policy term expires, receiving a subsequent odometer reading of the vehicle and, based on the subsequent odometer reading, determining, by the one or more processors, that the expiration odometer value has been reached. Additionally, the method includes facilitating, by the one or more processors, an additional purchase transaction with the customer for an additional amount of distance units. In some embodiments, the method may facilitate the additional purchase transaction before the expiration odometer value has been reached, such as if the expiration odometer value is close to being reached.
- In another embodiment, a method on an electronic device associated with a vehicle is provided. The method includes facilitating, by one or more processors, a purchase transaction with an insurance provider for a distance-based insurance policy associated with the vehicle, a coverage provided by the insurance policy (1) is based on an expiration odometer value defined as the sum of an initial odometer reading of the vehicle and an amount of distance units specified by the distance-based insurance policy, and (2) expires at the end of a policy term. The method further includes, before the policy term expires, detecting, by the one or more processors, that the expiration odometer value has been reached, notifying the insurance provider that the expiration odometer value has been reached, and facilitating, by the one or more processors, an additional purchase transaction with the insurance provider for an additional amount of distance units.
- In a further embodiment, a system for processing insurance coverage is provided. The system includes a communication module adapted to communicate data, a memory adapted to store non-transitory computer executable instructions, and a processor adapted to interface with the communication module. The processor is configured to execute the non-transitory computer executable instructions to cause the processor to facilitate a purchase transaction with a customer for a distance-based insurance policy associated with a vehicle, a coverage provided by the insurance policy (1) is based on an expiration odometer value defined as the sum of an initial odometer reading of the vehicle and an amount of distance units specified by the distance-based insurance policy, and (2) expires at the end of a policy term. The processor is further configured to, before the policy term expires, receive a subsequent odometer reading of the vehicle via the communication module and, based on the subsequent odometer reading, determine that the expiration odometer value has been reached. Additionally, the processor is configured to facilitate an additional purchase transaction with the customer for an additional amount of distance units.
- The figures described below depict various aspects of the system and methods disclosed herein. It should be understood that each figure depicts an embodiment of a particular aspect of the disclosed system and methods, and that each of the figures is intended to accord with a possible embodiment thereof. Further, wherever possible, the following description refers to the reference numerals included in the following figures, in which features depicted in multiple figures are designated with consistent reference numerals.
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FIG. 1 depicts an example environment including components and entities associated with processing distance-based vehicle insurance policies in accordance with some embodiments. -
FIG. 2 depicts an example diagram associated with facilitating the purchase of additional distance units for existing distance-based vehicle insurance policies in accordance with some embodiments. -
FIGS. 3A-3C depict example interfaces associated with reviewing and selecting additional distance units to purchase in accordance with some embodiments. -
FIG. 4 depicts a flow diagram associated with an insurance provider facilitating the purchase of additional distance units for an existing distance-based vehicle insurance policy in accordance with some embodiments. -
FIG. 5 depicts a flow diagram associated with a customer facilitating the purchase of additional distance units for an existing distance-based vehicle insurance policy in accordance with some embodiments. -
FIG. 6 is a block diagram of a processing server in accordance with some embodiments. - The novel systems and methods disclosed herein relate generally to processing vehicle insurance policies. In particular, the systems and methods relate to enabling customers to purchase additional distance units associated with existing distance-based insurance policies. According to certain aspects, a distance-based insurance policy for a vehicle is defined by a certain amount of distance units and a policy term or expiration time. Each distance unit corresponds to a certain distance that is travelable by the vehicle. Accordingly, the vehicle and a customer associated with the vehicle (e.g., the vehicle owner or operator) may be covered by the insurance policy while the policy term is in force and as long as the vehicle does not travel in excess of the amount of distance units.
- There may be situations, however, in which a customer having a distance-based insurance policy will run out of distance units before the end of the policy term. In these situations, any additional distance units that the customer drives in the vehicle will not be covered under the original distance-based insurance policy. According to the present embodiments, the systems and methods are configured to enable customers to purchase additional distance units before the expiration of the policy term so that the customer is continuously covered by the insurance policy. In particular, the customer, vehicle, or insurance provider may monitor the amount of original distance units during the policy term. If at some point there are few or no remaining distance units, the insurance provider may offer the customer additional distance units, which the customer can select to purchase.
- The systems and methods therefore offer a benefit to customers by enabling customers to purchase what is effectively additional distance-based vehicle insurance in situations in which the customers may not be otherwise covered. Therefore, the customers may continuously have vehicle insurance when the customers may not have otherwise foreseen using all original distance units during a policy term. Further, insurance providers may be able to attract more customers and/or process more insurance policies.
- Although the following text sets forth a detailed description of numerous different embodiments, it should be understood that the legal scope of the invention is defined by the words of the claims set forth at the end of this patent. The detailed description is to be construed as exemplary only and does not describe every possible embodiment, as describing every possible embodiment would be impractical, if not impossible. One could implement numerous alternate embodiments, using either current technology or technology developed after the filing date of this patent, which would still fall within the scope of the claims.
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FIG. 1 depicts anexample environment 100 associated with processing distance-based vehicle insurance policies. AlthoughFIG. 1 depicts certain entities, components, and devices, it should be appreciated that additional or alternate entities and components are envisioned. - As illustrated in
FIG. 1 , theenvironment 100 includes avehicle 105 that may be any type of car, automobile, truck, motorcycle, fleet of vehicles, marine vessel, or other vehicle capable of being driven or operated by a driver or operator. Thevehicle 105 has anelectronic device 106 associated therewith. In some cases, theelectronic device 106 may be installed as an on-board dash of thevehicle 105, such as part of an original equipment manufacturer (OEM) installation on thevehicle 105. In other cases, theelectronic device 106 may belong to a driver or operator of the vehicle 105 (generally, a “vehicle operator”). For example, theelectronic device 106 may be a smartphone of the vehicle operator. It should be appreciated that other types of electronic devices are envisioned, such as notebook computers, tablets, GPS devices, and/or the like. - The
electronic device 106 can be configured to communicate with aninsurance provider 110 via anetwork 120. Thenetwork 120 can facilitate any type of data communication via any standard or technology (e.g., GSM, CDMA, TDMA, WCDMA, LTE, EDGE, OFDM, GPRS, EV-DO, UWB, IEEE 802 including Ethernet, WiMAX, and/or others). Theinsurance provider 110 can be any individual, group of individuals, company, corporation, or other type of entity that can offer and issue insurance policies for customers, such as a vehicle insurance policy for thevehicle 105. According to embodiments, theinsurance provider 110 can include one or more processing server(s) 125 configured to facilitate the functionalities as discussed herein. AlthoughFIG. 1 depicts theprocessing server 125 as a part of theinsurance provider 110, it should be appreciated that theprocessing server 125 can be separate from (and connected to or accessible by) theinsurance provider 110. - According to embodiments, the
insurance provider 110 may offer and ultimately issue, to the vehicle operator, a distance-based insurance policy associated with thevehicle 105. In particular, the distance-based insurance policy may provide coverage for the vehicle operator and/or thevehicle 105. Specifically, the distance-based insurance policy provides coverage for a certain amount of distance units to be driven by thevehicle 105. For example, a distance-based insurance policy may provide coverage for 50 miles, 500 miles, or other distances. - Generally, when the vehicle operator purchases a distance-based insurance policy from the
insurance provider 110, the vehicle operator will provide an initial odometer reading of thevehicle 105 to theinsurance provider 110. In some cases, theinsurance provider 110 may obtain the initial odometer reading directly from theelectronic device 106 or another device associated with the vehicle 105 (e.g., an on-board component). Accordingly, the distance-based insurance policy has an “expiration odometer value” defined as the sum of the initial odometer reading and the specified amount of distance units covered by the insurance policy. For example, if the initial odometer reading is 80,500 miles and the specified amount of distance units is 500 miles, the expiration odometer value is 81,000 miles. - The distance-based insurance policies may also specify an expiration date or time, or policy term, within which the vehicle operators may use their distance units (e.g., by driving their vehicles). For example, if a distance-based insurance policy insures 500 miles and has a policy term of 6 months, then the vehicle operator (and/or the
vehicle 105, depending on the coverage) is insured for an operating distance of 500 miles assuming that those miles are driven within the 6 month policy term. In embodiments, the unused distance units may expire or lapse upon expiration of the policy term. Therefore, absent a renewal or purchase of additional distance units, the vehicle operator and/or thevehicle 105 will not be insured past the policy term, even if there remain any unused distance units. For example, if a distance-based insurance policy is in force starting on January 1 and has a 6 month policy term, the expiration date of the policy is June 30, whereby neither the vehicle operator nor thevehicle 105 is insured according to the policy beginning on July 1, even if there are unused distance units. - Similarly, a vehicle operator may use up all of the allotted distance units before the expiration of the policy term. In this case, the vehicle operator (and/or the vehicle 105) may not be covered under an insurance policy if there are no remaining distance units, even if the insurance policy is still in force. Accordingly, the vehicle operator may want to purchase additional distance units or otherwise be presented with an option to purchase additional distance units. In embodiments, the insurance provider 110 (or the electronic device 106) can determine when there are no remaining distance units during a policy term. The
insurance provider 110 can also generate a quote for an additional amount of distance units, and provide the quote to the vehicle operator. In embodiments, the additional amount of distance units may be based on the amount of used distance units and a time remaining in the policy term. The vehicle operator can review the quote, and select to purchase the additional amount of distance units or request a modified quote for a different amount of distance units. In some embodiments, the insurance provider 110 (or the electronic device) can automatically charge the vehicle operator (or automatically process a payment) for the additional distance units in response to determining that no original distance units remain. - The
processing server 125 can be coupled to adatabase 115 configured to store data associated with vehicle insurance policies. In particular, thedatabase 115 is configured to store and maintain accounts for the vehicle operators, whereby the accounts specify the terms of the distance-based insurance policies. Theprocessing server 125 may be configured to interface with thedatabase 115 to monitor expiration dates of the distance-based insurance policies, as well as process the purchase of additional distance units. - Referring to
FIG. 2 , illustrated is a signal diagram 200 associated with managing distance units associated with distance-based insurance policies. In particular,FIG. 2 includes a vehicle/customer device 206 (such as theelectronic device 106 as described with respect to FIG. 1) and an insurance provider 210 (such as theinsurance provider 110 as described with respect toFIG. 1 ). It should be appreciated that the vehicle/customer device 206 may include any electronic device associated with the vehicle (e.g., an on-board dash system) and/or any electronic device associated with a user/driver/operator of the vehicle (e.g., a vehicle operator's smartphone, laptop, etc.). Although only one vehicle/customer device 206 is depicted inFIG. 2 , it should be appreciated that theinsurance provider 210 may communicate with multiple vehicle/customer devices 206 to manage distance units associated with distance-based insurance policies. - The signal diagram 200 may begin when a customer (i.e., vehicle operator) uses the vehicle/
customer device 206 to send a request (222) to theinsurance provider 210 for a distance-based insurance policy. Generally, the distance-based insurance policy provides insurance coverage for the vehicle and the vehicle operator for a set amount of distance units (e.g., miles, kilometers, etc.). The customer may use the vehicle/customer device 206 to provide (224) an initial odometer reading, and optionally a desired amount of distance units and a desired policy term. For example, the customer may request an insurance policy for 1,000 miles having a policy term of 6 months. It should be appreciated that the customer may provide the initial odometer reading manually (e.g., by entering the odometer reading into an application of the vehicle/customer device 206) or via an indirect channel (e.g., taking a picture of the odometer in the vehicle and transmitting the picture to the insurance provider 110). Further, the vehicle/customer device 206 may be configured to automatically provide the initial odometer reading to theinsurance provider 210. It should be appreciated that other techniques and channels for transmitting the initial odometer reading are envisioned. - The
insurance provider 210 may assess an underwriting risk of the customer based on various customer data, as known in the art, and provide an insurance quote to the vehicle/customer device 206. The insurance quote may offer a distance-based insurance policy with terms that are the same as or different from the originally-requested terms (e.g., fewer or more distance units, shorter or longer policy term, etc.). The vehicle/customer device 206 and theinsurance provider 210 may facilitate (226) a purchase transaction for the distance-based insurance policy according to the insurance quote, after which the distance-based insurance policy may be deemed active. Accordingly, the initial odometer reading may serve as the “starting point” for the insurance policy. Theinsurance provider 210 can calculate and record (227) an expiration odometer reading, which can be defined as the sum of the initial odometer reading and the amount of distance units specified by the insurance policy. In an optional embodiment, theinsurance provider 210 can provide (228) the expiration odometer value to the vehicle/customer device 206 so that the vehicle/customer device 206 may monitor the expiration odometer value. It should be appreciated that the customer may facilitate the purchase transaction and the terms of the distance-based insurance policy via other techniques or channels, such as via a phone call with theinsurance provider 210 or via meeting with an agent of theinsurance provider 210. - The
insurance provider 210 and/or the vehicle/customer device 206 can monitor the remaining amount of distance units throughout the policy term and before the policy term expires, according to various techniques. In one embodiment, theinsurance provider 210 can optionally request (230) the vehicle/customer device 206 for a subsequent odometer reading. The vehicle/customer device 206 can provide (232) the subsequent odometer reading to theinsurance provider 210, for example via one or more manual or automatic techniques as discussed herein. Based on the expiration odometer value and the subsequent odometer reading, theinsurance provider 210 can determine (234) whether the expiration odometer value has been reached (i.e., whether the amount of distance units has been exhausted). For example, if the initial odometer reading was 12,000 miles, the insurance policy covered 1,000 miles (resulting in an expiration odometer value of 13,000 miles), and the subsequent odometer reading meets or exceeds 13,000 miles, then no miles remain from the insurance policy. In some embodiments, theinsurance provider 210 can determine that the expiration odometer value is close to being reached. For example, the expiration odometer value may be close to being reached if a difference between the subsequent odometer reading and the expiration odometer value is below a threshold amount (e.g., 100 distance units, 50 distance units, ten (10) distance units, five (5) distance units, etc.). The threshold amount may be based on the original amount of distance units. For example, if the original amount of distance units is 1,000, then the threshold amount may be 5% of that amount (or 50 distance units). If theinsurance provider 210 determines that the expiration odometer value has not been reached (“NO”), the insurance provider 210 (and/or the vehicle/customer device 206) can return to monitoring the remaining amount of distance units. - Although not illustrated in
FIG. 2 , it should be appreciated that the vehicle/customer device 206 can monitor the odometer of the vehicle during the policy term and detect when the amount of distance units is exhausted. Responsive to the detection, the vehicle/customer device 206 can notify theinsurance provider 210 that no distance units remain. Further, although the embodiments herein describe monitoring for distance unit expiration (or determining when the distance units expire), it should be appreciated that certain functionalities may trigger when the distance units are close to running out or expiring. For example, theinsurance provider 210 may determine that the customer has 10 remaining miles, and may at that point generate an offer for additional miles. Therefore, the customer may be given more time to decide whether to purchase additional distance units as well as more time to facilitate the purchase of the additional distance units. - If the insurance provider determines that the expiration odometer value has been reached (“YES”) (or if the vehicle/
customer device 206 detects that no distance units remain), theinsurance provider 210 can estimate 236 an additional amount of distance units that the customer may wish to purchase. In some cases, the customer may want to purchase an amount of additional distance units that will last until the end of the policy term but will result in a minimum amount of distance units that remain at the end of the policy term (i.e., an amount of additional distance units that is commensurate with the customer's pace in exhausting the original distance units). Accordingly, theinsurance provider 210 can estimate the additional amount of distance units based on the subsequent odometer reading (and accordingly the original amount of distance units) as well as the time remaining in the policy term. For example, if the customer originally purchased 1,000 miles for a 6-month policy term and exhausted all of the 1,000 miles after 3 months, then theinsurance provider 210 can estimate that the customer may need another 1,000 miles to last for the remaining 3 months of the 6-month policy term. It should be appreciated that the vehicle/customer device 206 may similarly estimate the additional amount of distance units using the available data. - The
insurance provider 210 can generate an offer for the additional amount of distance units and provide (238) the offer to the vehicle/customer device 206. The offer may be an extension of the original distance-based insurance policy, or may constitute a separate distance-based insurance policy. Further, the offer can include a price or cost of the additional amount of distance units, whereby the price or cost may be based on various factors such as the amount of additional distance units, the time remaining in the policy term, and/or other factors. It should be appreciated that the cost of each of the additional amount of distance units may be the same as or different from the cost of each of the original distance units. In embodiments, the additional amount of distance units may expire at the end of the original policy term, however it should be appreciated that the additional amount of distance units may have a different policy term than the original policy term. - The customer may use the vehicle/
customer device 206 to select (240) the offer for the additional distance units. In some embodiments, the customer may use the vehicle/customer device 206 to request a different amount of additional distance units (which theinsurance provider 210 may or may not approve, or which may or may not result in changes to the quote). The vehicle/customer device 206 and theinsurance provider 210 may facilitate (242) a purchase transaction for the additional amount of distance units according to the insurance quote, after which the distance-based insurance policy may once again be deemed active. In some embodiments, the vehicle/customer device 206 can be configured to automatically purchase additional distance units when it is determined that the original amount of distance units have expired. Similarly, theinsurance provider 210 may automatically charge the customer for the additional distance units when theinsurance provider 210 determines that no original distance units remain. - It should be appreciated that the customer may purchase additional distance units at any point during the policy term of the insurance policy. For example, the customer may envision going on a long road trip that necessitates more miles than are in a customer account. The customer may therefore explicitly request additional distance units which the insurance provider may offer to the customer for purchase.
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FIGS. 3A-3C illustrate example interfaces associated with purchasing additional distance units for a distance-based vehicle insurance policy. A vehicle or a customer device (e.g., an on-board dash system, a smartphone, etc.) may be configured to display the interfaces and receive selections and inputs via the interfaces. For example, a dedicated application that is configured to operate on the vehicle or consumer device may display the interfaces. It should be appreciated that the interfaces are merely examples and that alternative or additional content is envisioned. Further, it should be appreciated that alternative devices or machines may display the example interfaces. -
FIG. 3A illustrates aninterface 348 that notifies a customer that all of an original amount of distance units have expired. In embodiments, an insurance provider may notify the vehicle/customer device when the distance units have expired, which can cause the vehicle/customer device to display theinterface 348. Theinterface 348 also indicates an option for the user to purchase additional distance units (“Would you like to purchase additional miles?”). Theinterface 348 includes a “no thanks”selection 349 that enables the customer to exit the purchasing functionality and a “yes”selection 350 that enables the customer to proceed to purchase additional distance units. Although not illustrated inFIG. 3A , it should be appreciated that the insurance provider may provide a notification to the customer that the original amount of distance units are about to expire (such as if the remaining amount of distance units falls below a certain threshold). In this case, the notification can also enable the customer to purchase additional distance units so as to prevent the amount of distance units from expiring. -
FIG. 3B illustrates aninterface 352 that the vehicle/customer device may display in response to the user selecting theyes selection 350 ofFIG. 3A . Theinterface 352 indicates an amount of additional distance units available for purchase and that expire at the end of the policy term. In particular, theinterface 352 indicates the availability to purchase 500 additional miles for $25.00. The insurance provider may estimate the amount of additional distance units and determine the price for the additional distance units according to the techniques discussed herein. Theinterface 352 also includes a “no thanks”selection 353 that enables the customer to exit the purchasing functionality and a “yes”selection 355 that enables the customer to proceed to purchase additional distance units. Further, theinterface 352 includes a modifyselection 354 that enables the customer to modify one or more of the terms of the additional distance units. For example, the customer may request the insurance provider for fewer or more additional distance units (which may or may not result in a change in price for the additional distance units). -
FIG. 3C illustrates aninterface 357 that the vehicle/customer device may display in response to the user selecting theyes selection 355 ofFIG. 3B . Of course, there may be intermediate interfaces that enable the customer to facilitate the purchase transaction for the additional distance units (e.g., an interface to input payment information). Theinterface 357 indicates that the purchase of the additional distance units has been processed, and that the customer has additional distance units added to his or her account. Theinterface 357 includes an “okay”selection 358 that enables the customer to dismiss theinterface 357. - Referring to
FIG. 4 , depicted is a block diagram of anexample method 400 for enabling a customer to purchase additional distance units for a distance-based insurance policy associated with a vehicle. Themethod 400 may be facilitated between the insurance provider 110 (and specifically the processing server 125) as depicted inFIG. 1 and a customer associated with the vehicle. The customer may access any type of electronic or computing device (such as the electronic device 106) to provide data and make appropriate selections. - The insurance provider can receive (block 405), from the customer, a request for a distance-based insurance policy associated with the vehicle, as well as an initial odometer reading of the vehicle. In some embodiments, the request can include a desired amount of distance units for the distance-based insurance policy. The insurance provider can facilitate (block 410) a purchase transaction with the customer for the distance-based insurance policy, where the distance-based insurance policy expires at the end of a policy term (i.e., has a pre-determined expiration time). The distance-based insurance policy also specifies an amount of distance units (which may be the same as or different from the desired amount of distance units). The insurance provider can calculate and record (block 415) an expiration odometer value. In particular, the expiration odometer value can be defined as a sum of the initial odometer reading and the amount of distance units specified by the insurance policy. The insurance provider can also provide the expiration odometer value to the customer.
- At
block 420, the insurance provider can optionally request a subsequent odometer reading of the vehicle before the end of the policy term. According to embodiments, the subsequent odometer reading can be automatically retrieved or manually inputted by the customer. In either case, the insurance provider can receive (block 425) the subsequent odometer reading of the vehicle. In some embodiments, the customer can automatically provide the subsequent odometer reading without the insurance provider having to send the request. - The insurance provider can determine (block 430) whether the expiration odometer value has been reached. In particular, the insurance provider can compare the subsequent odometer reading with the expiration odometer value to determine whether the subsequent odometer reading meets or exceeds the expiration odometer value. The insurance provider can also determine when the expiration odometer value is close to being reached. For example, the difference between the subsequent odometer reading and the expiration odometer value can fall below a threshold amount. In some embodiments, the customer may automatically provide the subsequent odometer reading when the expiration odometer value is reached so that the insurance provider need not perform the determination of
block 430. - If the insurance provider determines that the expiration odometer value has not been reached (“NO”), processing can return to block 420 or proceed to any other functionality. It should be appreciated that the insurance provider may then periodically request the subsequent odometer reading from the customer. If the insurance provider determines that the expiration odometer value has been reached (“YES”), processing can proceed to block 435 at which the insurance provider can estimate an additional amount of distance units for the policy term. In particular, the insurance provider can estimate the additional amount of distance units based on the subsequent odometer reading and a time remaining on the policy term.
- The insurance provider can provide (block 440) the customer with an offer for the additional amount of distance units. In some embodiments, the additional amount of distance units may have an average cost that is more (or less) than the average cost of the original distance units. Further, the additional amount of distance units may also expire at the end of the policy term, or they may have a different policy term. The customer can accept the offer and the insurance provider can facilitate (block 445) an additional purchase transaction with the customer for the additional amount of distance units. In some cases, the insurance provider may automatically facilitate the additional purchase transaction with the customer in response to the customer reaching the expiration odometer value.
- Referring to
FIG. 5 , depicted is a block diagram of anexample method 500 for purchasing, from an insurance provider, additional distance units for a distance-based insurance policy associated with a vehicle. Themethod 500 may be facilitated by a customer associated with the vehicle. The customer may access any type of electronic or computing device (such as the electronic device 106) to communicate with an insurance provider, such as the insurance provider 110 (and specifically the processing server 125) as depicted inFIG. 1 . - The customer can request (block 505) the insurance provider for a distance-based insurance policy associated with the vehicle, where the request includes an initial odometer reading of the vehicle. In some embodiments, the request can indicate a desired amount of distance units for the distance-based insurance policy. The customer can facilitate (block 510) a purchase transaction with the insurance provider for the distance-based insurance policy, where the distance-based insurance policy expires at the end of a policy term (i.e., has a pre-determined expiration time). The distance-based insurance policy also specifies an amount of distance units (which may be the same as or different from the desired amount of distance units). The customer can receive and record (block 515) an expiration odometer value. In particular, the expiration odometer value can be defined as a sum of the initial odometer reading and the amount of distance units specified by the insurance policy. In some embodiments, the customer may automatically calculate the expiration odometer value.
- The customer may monitor (block 520) or identify the current odometer value of the vehicle. The customer can also determine (block 525), based on the current odometer value, whether the expiration odometer value has been reached. In particular, the customer can compare the current odometer reading to the expiration odometer value to determine whether the current odometer reading meets or exceeds the expiration odometer value. It should be appreciated that the customer may automatically determine when the current odometer reading reaches the expiration odometer value. In some embodiments, the customer may determine when the current odometer reading is close to reaching the expiration odometer value, such as when the difference between the current odometer reading and the expiration odometer value falls below a threshold amount.
- If the customer determines that the expiration odometer value has not been reached (“NO”), processing can return to block 520 or proceed to any other functionality. If the customer determines that the expiration odometer value has been reached (“YES”), processing can proceed to block 530 at which the customer can estimate an additional amount of distance units for the policy term. In particular, the customer can estimate the additional amount of distance units based on the current odometer reading and a time remaining on the policy term. The customer can provide (block 535) the insurance provider with an indication of the additional amount of distance units. According to embodiments, the insurance provider can generate a quote for the additional amount of distance units.
- The customer can receive (block 540) an offer for the additional amount of distance units from the insurance provider. In some embodiments, the additional amount of distance units may have an average cost that is more (or less) than the average cost of the original distance units. Further, the additional amount of distance units may also expire at the end of the policy term, or they may have a different policy term. The customer can accept the offer for the additional distance units, for example via a user interface of the electronic device. Responsive to accepting the offer, the customer can facilitate (block 545) an additional purchase transaction with the insurance provider for the additional amount of distance units. In some cases, the customer may automatically purchase the additional amount of distance units in response to the vehicle reaching the expiration odometer value.
-
FIG. 6 illustrates a diagram of an example processing server 625 (such as theprocessing server 125 discussed with respect toFIG. 1 ) in which the functionalities as discussed herein may be implemented. It should be appreciated that theprocessing server 625 can be associated with an insurance provider, as discussed herein. - The
processing server 625 can include aprocessor 622 as well as amemory 678. Thememory 678 can store anoperating system 679 capable of facilitating the functionalities as discussed herein as well as a set of applications 675 (i.e., machine readable instructions). For example, one of the set ofapplications 675 can be apolicy processing application 684 configured to facilitate the offering and purchase of distance-based insurance policies. It should be appreciated that other applications are envisioned. - The
processor 622 can interface with thememory 678 to execute theoperating system 679 and the set ofapplications 675. According to embodiments, thememory 678 can also includecustomer account information 680 that includes information related to accounts of customers, including insurance policies and credits associated therewith. Thepolicy processing application 684 may interface with thecustomer account information 680 to retrieve relevant information that thepolicy processing application 684 may use to process insurance policies and terms associated therewith. Thememory 678 can include one or more forms of volatile and/or non-volatile, fixed and/or removable memory, such as read-only memory (ROM), electronic programmable read-only memory (EPROM), random access memory (RAM), erasable electronic programmable read-only memory (EEPROM), and/or other hard drives, flash memory, MicroSD cards, and others. - The
processing server 625 can further include acommunication module 677 configured to communicate data via one ormore networks 620. According to some embodiments, thecommunication module 677 can include one or more transceivers (e.g., WWAN, WLAN, and/or WPAN transceivers) functioning in accordance with IEEE standards, 3GPP standards, or other standards, and configured to receive and transmit data via one or moreexternal ports 676. For example, thecommunication module 677 can send, via thenetwork 620, requests for odometer information and/or credit options and receive relevant data and selections. Theprocessing server 625 may further include auser interface 681 configured to present information to a user and/or receive inputs from the user. As shown inFIG. 6 , theuser interface 681 includes adisplay screen 682 and I/O components 683 (e.g., ports, capacitive or resistive touch sensitive input panels, keys, buttons, lights, LEDs, speakers, microphones). According to embodiments, the user may access theprocessing server 625 via theuser interface 681 to process insurance policies and/or perform other functions. In some embodiments, theprocessing server 625 can perform the functionalities as discussed herein as part of a “cloud” network or can otherwise communicate with other hardware or software components within the cloud to send, retrieve, or otherwise analyze data. - In general, a computer program product in accordance with an embodiment includes a computer usable storage medium (e.g., standard random access memory (RAM), an optical disc, a universal serial bus (USB) drive, or the like) having computer-readable program code embodied therein, wherein the computer-readable program code is adapted to be executed by the processor 622 (e.g., working in connection with the operating system 679) to facilitate the functions as described herein. In this regard, the program code may be implemented in any desired language, and may be implemented as machine code, assembly code, byte code, interpretable source code or the like (e.g., via C, C++, Java, Actionscript, Objective-C, Javascript, CSS, XML). In some embodiments, the computer program product may be part of a cloud network of resources.
- Throughout this specification, plural instances may implement components, operations, or structures described as a single instance. Although individual operations of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.
- Additionally, certain embodiments are described herein as including logic or a number of routines, subroutines, applications, or instructions. These may constitute either software (e.g., code embodied on a non-transitory, machine-readable medium) or hardware. In hardware, the routines, etc., are tangible units capable of performing certain operations and may be configured or arranged in a certain manner. In example embodiments, one or more computer systems (e.g., a standalone, client or server computer system) or one or more hardware modules of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware module that operates to perform certain operations as described herein.
- In various embodiments, a hardware module may be implemented mechanically or electronically. For example, a hardware module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain operations. A hardware module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
- Accordingly, the term “hardware module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware modules are temporarily configured (e.g., programmed), each of the hardware modules need not be configured or instantiated at any one instance in time. For example, where the hardware modules comprise a general-purpose processor configured using software, the general-purpose processor may be configured as respective different hardware modules at different times. Software may accordingly configure a processor, for example, to constitute a particular hardware module at one instance of time and to constitute a different hardware module at a different instance of time.
- Hardware modules can provide information to, and receive information from, other hardware modules. Accordingly, the described hardware modules may be regarded as being communicatively coupled. Where multiple of such hardware modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware modules. In embodiments in which multiple hardware modules are configured or instantiated at different times, communications between such hardware modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware modules have access. For example, one hardware module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware modules may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
- The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions. The modules referred to herein may, in some example embodiments, comprise processor-implemented modules.
- Similarly, the methods or routines described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented hardware modules. The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment or as a server farm), while in other embodiments the processors may be distributed across a number of locations.
- The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the one or more processors or processor-implemented modules may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the one or more processors or processor-implemented modules may be distributed across a number of geographic locations.
- Unless specifically stated otherwise, discussions herein using words such as “processing,” “computing,” “calculating,” “determining,” “presenting,” “displaying,” or the like may refer to actions or processes of a machine (e.g., a computer) that manipulates or transforms data represented as physical (e.g., electronic, magnetic, or optical) quantities within one or more memories (e.g., volatile memory, non-volatile memory, or a combination thereof), registers, or other machine components that receive, store, transmit, or display information.
- As used herein any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
- Some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. For example, some embodiments may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact. The term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still cooperate or interact with each other. The embodiments are not limited in this context.
- It should also be understood that, unless a term is expressly defined in this patent using the sentence “As used herein, the term ‘______’ is hereby defined to mean . . . ” or a similar sentence, there is no intent to limit the meaning of that term, either expressly or by implication, beyond its plain or ordinary meaning, and such term should not be interpreted to be limited in scope based on any statement made in any section of this patent (other than the language of the claims). To the extent that any term recited in the claims at the end of this disclosure is referred to in this disclosure in a manner consistent with a single meaning, that is done for sake of clarity only so as to not confuse the reader, and it is not intended that such claim term be limited, by implication or otherwise, to that single meaning. Finally, unless a claim element is defined by reciting the word “means” and a function without the recital of any structure, it is not intended that the scope of any claim element be interpreted based on the application of 35 U.S.C. §112, sixth paragraph.
- The term “insurance policy,” as used herein, generally refers to a contract between an insurer and an insured. In exchange for payments from the insured, the insurer pays for damages to the insured which are caused by covered perils, acts or events as specified by the language of the insurance policy. The payments from the insured are generally referred to as “premiums,” and typically are paid on behalf of the insured upon purchase of the insurance policy or over time at periodic intervals. The amount of the damages payment is generally referred to as a “coverage amount” or a “face amount” of the insurance policy. An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy. An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when the parameters of the insurance policy have expired, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy (e.g., for variable life or universal life insurance policies), or if the insured or the insurer cancels the policy.
- The terms “insurer,” “insuring party,” and “insurance provider” are used interchangeably herein to generally refer to a party or entity (e.g., a business or other organizational entity) that provides insurance products, e.g., by offering and issuing insurance policies. Typically, but not necessarily, an insurance provider may be an insurance company.
- Although the embodiments discussed herein relate to vehicle or automobile insurance policies, it should be appreciated that an insurance provider may offer or provide one or more different types of insurance policies. Other types of insurance policies may include, for example, homeowners insurance; condominium owner insurance; renter's insurance; life insurance (e.g., whole-life, universal, variable, term); health insurance; disability insurance; long-term care insurance; annuities; business insurance (e.g., property, liability, commercial auto, workers compensation, professional and specialty liability, inland marine and mobile property, surety and fidelity bonds); boat insurance; insurance for catastrophic events such as flood, fire, volcano damage and the like; motorcycle insurance; farm and ranch insurance; personal article insurance; personal liability insurance; personal umbrella insurance; community organization insurance (e.g., for associations, religious organizations, cooperatives); and other types of insurance products. In embodiments as described herein, the insurance providers process claims related to insurance policies that cover one or more properties (e.g., homes, automobiles, personal articles), although processing other insurance policies is also envisioned.
- The terms “insured,” “insured party,” “policyholder,” “customer,” “claimant,” and “potential claimant” are used interchangeably herein to refer to a person, party, or entity (e.g., a business or other organizational entity) that is covered by the insurance policy, e.g., whose insured article or entity (e.g., property, life, health, auto, home, business) is covered by the policy. A “guarantor,” as used herein, generally refers to a person, party or entity that is responsible for payment of the insurance premiums. The guarantor may or may not be the same party as the insured, such as in situations when a guarantor has power of attorney for the insured. An “annuitant,” as referred to herein, generally refers to a person, party or entity that is entitled to receive benefits from an annuity insurance product offered by the insuring party. The annuitant may or may not be the same party as the guarantor.
- Typically, a person or customer (or an agent of the person or customer) of an insurance provider fills out an application for an insurance policy. In some cases, the data for an application may be automatically determined or already associated with a potential customer. The application may undergo underwriting to assess the eligibility of the party and/or desired insured article or entity to be covered by the insurance policy, and, in some cases, to determine any specific terms or conditions that are to be associated with the insurance policy, e.g., amount of the premium, riders or exclusions, waivers, and the like. Upon approval by underwriting, acceptance of the applicant to the terms or conditions, and payment of the initial premium, the insurance policy may be in-force, (i.e., the policyholder is enrolled).
- As used herein, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Further, unless expressly stated to the contrary, “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).
- In addition, use of the “a” or “an” are employed to describe elements and components of the embodiments herein. This is done merely for convenience and to give a general sense of the description. This description, and the claims that follow, should be read to include one or at least one and the singular also includes the plural unless it is obvious that it is meant otherwise.
- This detailed description is to be construed as examples and does not describe every possible embodiment, as describing every possible embodiment would be impractical, if not impossible. One could implement numerous alternate embodiments, using either current technology or technology developed after the filing date of this application.
Claims (20)
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| US14/203,115 Abandoned US20140257868A1 (en) | 2013-03-10 | 2014-03-10 | Systems and methods for processing vehicle insurance based on acuity testing performance |
| US14/203,015 Active US9105066B2 (en) | 2013-03-10 | 2014-03-10 | Trip-based vehicle insurance |
| US14/203,349 Expired - Fee Related US9779458B2 (en) | 2013-03-10 | 2014-03-10 | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
| US14/202,660 Abandoned US20140257865A1 (en) | 2013-03-10 | 2014-03-10 | Systems and methods for processing credits for distance-based insurance policies |
| US14/203,210 Abandoned US20140257870A1 (en) | 2013-03-10 | 2014-03-10 | Determining Driving Patterns from On-Board Vehicle Sensor Data |
| US14/203,143 Active 2035-07-22 US11068989B2 (en) | 2013-03-10 | 2014-03-10 | Adjusting insurance policies based on common driving routes and other risk factors |
| US14/203,344 Active 2034-03-24 US9734537B2 (en) | 2013-03-10 | 2014-03-10 | Vehicle image and sound data gathering for insurance rating purposes |
| US14/203,356 Active US9208525B2 (en) | 2013-03-10 | 2014-03-10 | System and method for determining and monitoring auto insurance incentives |
| US14/202,812 Abandoned US20140257866A1 (en) | 2013-03-10 | 2014-03-10 | Systems and methods for processing additional distance units for distance-based insurance policies |
| US14/203,338 Active US9141996B2 (en) | 2013-03-10 | 2014-03-10 | Dynamic auto insurance policy quote creation based on tracked user data |
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| US14/788,998 Active 2035-03-25 US10719879B1 (en) | 2013-03-10 | 2015-07-01 | Trip-based vehicle insurance |
| US14/795,369 Active 2034-03-14 US10013719B1 (en) | 2013-03-10 | 2015-07-09 | Dynamic auto insurance policy quote creation based on tracked user data |
| US14/862,703 Active US9418383B1 (en) | 2013-03-10 | 2015-09-23 | System and method for determining and monitoring auto insurance incentives |
| US15/210,746 Active US9646347B1 (en) | 2013-03-10 | 2016-07-14 | System and method for determining and monitoring auto insurance incentives |
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| US18/618,863 Active US12462310B2 (en) | 2013-03-10 | 2024-03-27 | Dynamic auto insurance policy quote creation based on tracked user data |
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Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9361599B1 (en) | 2015-01-28 | 2016-06-07 | Allstate Insurance Company | Risk unit based policies |
| US9390452B1 (en) | 2015-01-28 | 2016-07-12 | Allstate Insurance Company | Risk unit based policies |
| US9646428B1 (en) | 2014-05-20 | 2017-05-09 | State Farm Mutual Automobile Insurance Company | Accident response using autonomous vehicle monitoring |
| US9786154B1 (en) | 2014-07-21 | 2017-10-10 | State Farm Mutual Automobile Insurance Company | Methods of facilitating emergency assistance |
| US9805601B1 (en) | 2015-08-28 | 2017-10-31 | State Farm Mutual Automobile Insurance Company | Vehicular traffic alerts for avoidance of abnormal traffic conditions |
| US9865020B1 (en) | 2013-03-10 | 2018-01-09 | State Farm Mutual Automobile Insurance Company | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
| US9940834B1 (en) | 2016-01-22 | 2018-04-10 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle application |
| US9946531B1 (en) | 2014-11-13 | 2018-04-17 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle software version assessment |
| US9972054B1 (en) | 2014-05-20 | 2018-05-15 | State Farm Mutual Automobile Insurance Company | Accident fault determination for autonomous vehicles |
| US10042359B1 (en) | 2016-01-22 | 2018-08-07 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle refueling |
| US10134278B1 (en) | 2016-01-22 | 2018-11-20 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle application |
| US10185999B1 (en) | 2014-05-20 | 2019-01-22 | State Farm Mutual Automobile Insurance Company | Autonomous feature use monitoring and telematics |
| US10319039B1 (en) | 2014-05-20 | 2019-06-11 | State Farm Mutual Automobile Insurance Company | Accident fault determination for autonomous vehicles |
| US10324463B1 (en) | 2016-01-22 | 2019-06-18 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation adjustment based upon route |
| US10373259B1 (en) | 2014-05-20 | 2019-08-06 | State Farm Mutual Automobile Insurance Company | Fully autonomous vehicle insurance pricing |
| US10395332B1 (en) | 2016-01-22 | 2019-08-27 | State Farm Mutual Automobile Insurance Company | Coordinated autonomous vehicle automatic area scanning |
| US10599155B1 (en) | 2014-05-20 | 2020-03-24 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation feature monitoring and evaluation of effectiveness |
| US10817950B1 (en) | 2015-01-28 | 2020-10-27 | Arity International Limited | Usage-based policies |
| US10846799B2 (en) | 2015-01-28 | 2020-11-24 | Arity International Limited | Interactive dashboard display |
| US11242051B1 (en) | 2016-01-22 | 2022-02-08 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle action communications |
| US11441916B1 (en) | 2016-01-22 | 2022-09-13 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle trip routing |
| US11669090B2 (en) | 2014-05-20 | 2023-06-06 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation feature monitoring and evaluation of effectiveness |
| US11719545B2 (en) | 2016-01-22 | 2023-08-08 | Hyundai Motor Company | Autonomous vehicle component damage and salvage assessment |
Families Citing this family (244)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8874477B2 (en) | 2005-10-04 | 2014-10-28 | Steven Mark Hoffberg | Multifactorial optimization system and method |
| US10096038B2 (en) | 2007-05-10 | 2018-10-09 | Allstate Insurance Company | Road segment safety rating system |
| US8606512B1 (en) | 2007-05-10 | 2013-12-10 | Allstate Insurance Company | Route risk mitigation |
| US10157422B2 (en) | 2007-05-10 | 2018-12-18 | Allstate Insurance Company | Road segment safety rating |
| US9932033B2 (en) | 2007-05-10 | 2018-04-03 | Allstate Insurance Company | Route risk mitigation |
| WO2009042392A2 (en) | 2007-09-24 | 2009-04-02 | Apple Inc. | Embedded authentication systems in an electronic device |
| US8600120B2 (en) | 2008-01-03 | 2013-12-03 | Apple Inc. | Personal computing device control using face detection and recognition |
| US8638385B2 (en) | 2011-06-05 | 2014-01-28 | Apple Inc. | Device, method, and graphical user interface for accessing an application in a locked device |
| US9002322B2 (en) | 2011-09-29 | 2015-04-07 | Apple Inc. | Authentication with secondary approver |
| US10360636B1 (en) | 2012-08-01 | 2019-07-23 | Allstate Insurance Company | System for capturing passenger and trip data for a taxi vehicle |
| US20180285863A1 (en) * | 2012-08-16 | 2018-10-04 | Danny Loh | User generated autonomous digital token system |
| US9081650B1 (en) | 2012-12-19 | 2015-07-14 | Allstate Insurance Company | Traffic based driving analysis |
| US9104535B1 (en) * | 2012-12-19 | 2015-08-11 | Allstate Insurance Company | Traffic based driving analysis |
| US9830662B1 (en) * | 2013-03-15 | 2017-11-28 | State Farm Mutual Automobile Insurance Company | Split sensing method |
| GB2517126B (en) * | 2013-05-14 | 2015-05-20 | Y3K Europ Ltd | Driving event notification |
| JP6179191B2 (en) * | 2013-05-27 | 2017-08-16 | 富士通株式会社 | Driving diagnosis device, driving diagnosis method and program |
| US20160232616A1 (en) * | 2013-08-23 | 2016-08-11 | eBao Tech Corporation | Systems and Methods for Insurance Design Using Standard Insurance Contexts and Factors |
| US8935036B1 (en) | 2013-09-06 | 2015-01-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for updating a driving tip model using telematics data |
| US9898642B2 (en) | 2013-09-09 | 2018-02-20 | Apple Inc. | Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs |
| WO2015065402A1 (en) | 2013-10-30 | 2015-05-07 | Bodhi Technology Ventures Llc | Displaying relevant use interface objects |
| US11257162B1 (en) | 2013-12-05 | 2022-02-22 | Allstate Insurance Company | Insurance based on driving data |
| US10552911B1 (en) * | 2014-01-10 | 2020-02-04 | United Services Automobile Association (Usaa) | Determining status of building modifications using informatics sensor data |
| US10592981B2 (en) * | 2014-01-17 | 2020-03-17 | Capital One Services, Llc | Systems and methods for exporting auto finance information |
| US10096067B1 (en) | 2014-01-24 | 2018-10-09 | Allstate Insurance Company | Reward system related to a vehicle-to-vehicle communication system |
| US9355423B1 (en) | 2014-01-24 | 2016-05-31 | Allstate Insurance Company | Reward system related to a vehicle-to-vehicle communication system |
| US9390451B1 (en) | 2014-01-24 | 2016-07-12 | Allstate Insurance Company | Insurance system related to a vehicle-to-vehicle communication system |
| US20150228129A1 (en) * | 2014-02-10 | 2015-08-13 | Metromile, Inc. | System and method for profiling vehicle usage |
| US10803525B1 (en) | 2014-02-19 | 2020-10-13 | Allstate Insurance Company | Determining a property of an insurance policy based on the autonomous features of a vehicle |
| US10796369B1 (en) | 2014-02-19 | 2020-10-06 | Allstate Insurance Company | Determining a property of an insurance policy based on the level of autonomy of a vehicle |
| US10783586B1 (en) * | 2014-02-19 | 2020-09-22 | Allstate Insurance Company | Determining a property of an insurance policy based on the density of vehicles |
| US10783587B1 (en) | 2014-02-19 | 2020-09-22 | Allstate Insurance Company | Determining a driver score based on the driver's response to autonomous features of a vehicle |
| US9940676B1 (en) | 2014-02-19 | 2018-04-10 | Allstate Insurance Company | Insurance system for analysis of autonomous driving |
| US10181160B1 (en) | 2014-04-25 | 2019-01-15 | State Farm Mutual Automobile Insurance Company | Systems and methods for assigning damage caused by an insurance-related event |
| US10656280B2 (en) | 2014-05-13 | 2020-05-19 | Key Control Holding, Inc. | Vehicle monitoring systems and methods |
| US9877088B2 (en) * | 2014-05-27 | 2018-01-23 | International Business Machines Corporation | Cooperative task execution in instrumented roadway systems |
| US10482461B2 (en) * | 2014-05-29 | 2019-11-19 | Apple Inc. | User interface for payments |
| US10664917B1 (en) | 2014-06-20 | 2020-05-26 | Allstate Insurance Company | Personalized insurance systems |
| US9818154B1 (en) * | 2014-06-27 | 2017-11-14 | Blinker, Inc. | System and method for electronic processing of vehicle transactions based on image detection of vehicle license plate |
| US9773184B1 (en) | 2014-06-27 | 2017-09-26 | Blinker, Inc. | Method and apparatus for receiving a broadcast radio service offer from an image |
| US9589202B1 (en) | 2014-06-27 | 2017-03-07 | Blinker, Inc. | Method and apparatus for receiving an insurance quote from an image |
| US10867327B1 (en) | 2014-06-27 | 2020-12-15 | Blinker, Inc. | System and method for electronic processing of vehicle transactions based on image detection of vehicle license plate |
| US10540564B2 (en) | 2014-06-27 | 2020-01-21 | Blinker, Inc. | Method and apparatus for identifying vehicle information from an image |
| US10733471B1 (en) | 2014-06-27 | 2020-08-04 | Blinker, Inc. | Method and apparatus for receiving recall information from an image |
| US9754171B1 (en) | 2014-06-27 | 2017-09-05 | Blinker, Inc. | Method and apparatus for receiving vehicle information from an image and posting the vehicle information to a website |
| US9558419B1 (en) | 2014-06-27 | 2017-01-31 | Blinker, Inc. | Method and apparatus for receiving a location of a vehicle service center from an image |
| US9600733B1 (en) | 2014-06-27 | 2017-03-21 | Blinker, Inc. | Method and apparatus for receiving car parts data from an image |
| US9594971B1 (en) | 2014-06-27 | 2017-03-14 | Blinker, Inc. | Method and apparatus for receiving listings of similar vehicles from an image |
| US9779318B1 (en) | 2014-06-27 | 2017-10-03 | Blinker, Inc. | Method and apparatus for verifying vehicle ownership from an image |
| US9563814B1 (en) | 2014-06-27 | 2017-02-07 | Blinker, Inc. | Method and apparatus for recovering a vehicle identification number from an image |
| US10572758B1 (en) | 2014-06-27 | 2020-02-25 | Blinker, Inc. | Method and apparatus for receiving a financing offer from an image |
| US10579892B1 (en) | 2014-06-27 | 2020-03-03 | Blinker, Inc. | Method and apparatus for recovering license plate information from an image |
| US10515285B2 (en) | 2014-06-27 | 2019-12-24 | Blinker, Inc. | Method and apparatus for blocking information from an image |
| US9607236B1 (en) | 2014-06-27 | 2017-03-28 | Blinker, Inc. | Method and apparatus for providing loan verification from an image |
| US9589201B1 (en) | 2014-06-27 | 2017-03-07 | Blinker, Inc. | Method and apparatus for recovering a vehicle value from an image |
| US9892337B1 (en) | 2014-06-27 | 2018-02-13 | Blinker, Inc. | Method and apparatus for receiving a refinancing offer from an image |
| US9760776B1 (en) | 2014-06-27 | 2017-09-12 | Blinker, Inc. | Method and apparatus for obtaining a vehicle history report from an image |
| US9972184B2 (en) * | 2014-07-24 | 2018-05-15 | State Farm Mutual Automobile Insurance Company | Systems and methods for monitoring a vehicle operator and for monitoring an operating environment within the vehicle |
| US9721305B2 (en) | 2014-08-01 | 2017-08-01 | Mobile Data Labs, Inc. | Mobile device distance tracking |
| US11062393B2 (en) * | 2014-08-11 | 2021-07-13 | American International Group, Inc. | Systems for evaluating exposure to insurance policies caused by catostrophic events |
| US20160063640A1 (en) * | 2014-08-26 | 2016-03-03 | Martin Ellingsworth | Systems And Methods For Verification Of Vehicle Mileage Readings |
| US10366456B2 (en) * | 2014-08-29 | 2019-07-30 | Guidewire Software, Inc. | Operational data corresponding to a product model |
| US9846977B1 (en) | 2014-09-02 | 2017-12-19 | Metromile, Inc. | Systems and methods for determining vehicle trip information |
| US9812015B1 (en) | 2014-09-02 | 2017-11-07 | Metromile, Inc. | Systems and methods for determining parking information for a vehicle using vehicle data and external parking data |
| US10140785B1 (en) | 2014-09-02 | 2018-11-27 | Metromile, Inc. | Systems and methods for determining fuel information of a vehicle |
| US10036639B1 (en) | 2014-09-02 | 2018-07-31 | Metromile, Inc. | Systems and methods for determining and displaying a route using information determined from a vehicle, user feedback, and a mobile electronic device |
| WO2016036552A1 (en) | 2014-09-02 | 2016-03-10 | Apple Inc. | User interactions for a mapping application |
| US9373203B1 (en) | 2014-09-23 | 2016-06-21 | State Farm Mutual Automobile Insurance Company | Real-time driver monitoring and feedback reporting system |
| US9056616B1 (en) * | 2014-09-23 | 2015-06-16 | State Farm Mutual Automobile Insurance | Student driver feedback system allowing entry of tagged events by instructors during driving tests |
| US10424024B1 (en) * | 2014-10-06 | 2019-09-24 | Allstate Insurance Company | System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data |
| US9984418B1 (en) * | 2014-10-06 | 2018-05-29 | Allstate Insurance Company | System and method for determining an insurance premium quote based on human telematic data and structure related telematic data |
| US10127737B1 (en) * | 2014-10-06 | 2018-11-13 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle |
| US9984420B1 (en) * | 2014-10-06 | 2018-05-29 | Allstate Insurance Company | System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data |
| US10210678B1 (en) * | 2014-10-06 | 2019-02-19 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle |
| US9955242B1 (en) * | 2014-10-06 | 2018-04-24 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a static environment such as in or around buildings or other structures |
| US9973834B1 (en) * | 2014-10-06 | 2018-05-15 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a static environment such as in or around buildings or other structures |
| US9984419B1 (en) * | 2014-10-06 | 2018-05-29 | Allstate Insurance Company | System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data |
| US9996882B1 (en) * | 2014-10-06 | 2018-06-12 | Allstate Insurance Company | System and method for determining an insurance premium quote based on human telematic data and structure related telematic data |
| US9898912B1 (en) | 2014-10-07 | 2018-02-20 | State Farm Mutual Automobile Insurance Company | Systems and methods for automatically generating an escape route |
| WO2016054721A1 (en) * | 2014-10-08 | 2016-04-14 | Tsx Inc. | Selective delayed and undelayed database updating |
| US10471964B2 (en) | 2014-10-10 | 2019-11-12 | Wpj Holdings, Inc. | System and method for collecting vehicle use and driving behavior data using a mobile communication device and bluetooth low energy (BLE) device |
| US9830665B1 (en) * | 2014-11-14 | 2017-11-28 | United Services Automobile Association | Telematics system, apparatus and method |
| US20230162224A1 (en) * | 2014-11-17 | 2023-05-25 | Allstate Insurance Company | Rewards system maintenance |
| US10515415B1 (en) | 2014-11-19 | 2019-12-24 | State Farm Mutual Automobile Insurance Company | Method and system for integrating online sales of consumer products with the sale of corresponding insurance |
| US10755566B2 (en) | 2014-12-02 | 2020-08-25 | Here Global B.V. | Method and apparatus for determining location-based vehicle behavior |
| US10810675B2 (en) * | 2014-12-31 | 2020-10-20 | Esurance Insurance Services, Inc. | Providing transit alternatives based on monitored vehicle characteristics |
| US10198772B2 (en) * | 2015-01-14 | 2019-02-05 | Tata Consultancy Services Limited | Driver assessment and recommendation system in a vehicle |
| DK3045919T3 (en) | 2015-01-14 | 2019-07-01 | Tata Consultancy Services Ltd | System and method for estimating a vehicle's speed |
| EP3056706A1 (en) | 2015-02-16 | 2016-08-17 | Honeywell International Inc. | An approach for aftertreatment system modeling and model identification |
| US11126978B1 (en) * | 2015-03-06 | 2021-09-21 | Wells Fargo Bank, N.A. | Status information for financial transactions |
| US10810504B1 (en) | 2015-03-11 | 2020-10-20 | State Farm Mutual Automobile Insurance Company | Route scoring for assessing or predicting driving performance |
| US10621671B1 (en) * | 2015-03-18 | 2020-04-14 | State Farm Mutual Automobile Insurance Company | Broadcasting vehicle and insurance information to mobile devices in the vicinity of a vehicle |
| US9607509B2 (en) * | 2015-04-08 | 2017-03-28 | Sap Se | Identification of vehicle parking using data from vehicle sensor network |
| US11769119B1 (en) * | 2015-04-15 | 2023-09-26 | Allstate Insurance Company | Autonomous car repair |
| US10402908B1 (en) * | 2015-04-20 | 2019-09-03 | Massachusetts Mutual Life Insurance Company | Computer method and system for creating a personalized bundle of computer records |
| US10373523B1 (en) | 2015-04-29 | 2019-08-06 | State Farm Mutual Automobile Insurance Company | Driver organization and management for driver's education |
| US9586591B1 (en) | 2015-05-04 | 2017-03-07 | State Farm Mutual Automobile Insurance Company | Real-time driver observation and progress monitoring |
| US9940637B2 (en) | 2015-06-05 | 2018-04-10 | Apple Inc. | User interface for loyalty accounts and private label accounts |
| US20160358133A1 (en) | 2015-06-05 | 2016-12-08 | Apple Inc. | User interface for loyalty accounts and private label accounts for a wearable device |
| WO2016200762A1 (en) * | 2015-06-08 | 2016-12-15 | Allstate Insurance Company | Route risk mitigation |
| US9842437B2 (en) * | 2015-06-29 | 2017-12-12 | Allstate Insurance Company | Automatically identifying drivers |
| US10330826B2 (en) | 2015-07-23 | 2019-06-25 | Hartford Fire Insurance Company | System for sensor enabled reporting and notification in a distributed network |
| US9888392B1 (en) | 2015-07-24 | 2018-02-06 | Allstate Insurance Company | Detecting handling of a device in a vehicle |
| EP3734375B1 (en) | 2015-07-31 | 2023-04-05 | Garrett Transportation I Inc. | Quadratic program solver for mpc using variable ordering |
| US9928353B2 (en) | 2015-08-03 | 2018-03-27 | International Business Machines Corporation | Vehicle authorization based on near field communication |
| US10272779B2 (en) | 2015-08-05 | 2019-04-30 | Garrett Transportation I Inc. | System and approach for dynamic vehicle speed optimization |
| US10755356B1 (en) * | 2015-08-12 | 2020-08-25 | State Farm Mutual Automobile Insurance Company | System and method for providing customers with rates from insurance providers for purchasing passenger insurance in an autonomous vehicle |
| US10853881B1 (en) | 2015-08-12 | 2020-12-01 | State Farm Mutual Automobile Insurance Company | Method and system for providing trip-based passenger insurance in autonomous vehicles |
| US10586219B2 (en) * | 2015-08-13 | 2020-03-10 | The Toronto-Dominion Bank | Automated implementation of provisioned services based on captured sensor data |
| US10885588B2 (en) * | 2015-09-02 | 2021-01-05 | Nanjing Xega Electronics Technology Co., Ltd. | Machine-vision-based electronic automobile insurance fee meter |
| US11307042B2 (en) | 2015-09-24 | 2022-04-19 | Allstate Insurance Company | Three-dimensional risk maps |
| US10346924B1 (en) * | 2015-10-13 | 2019-07-09 | State Farm Mutual Automobile Insurance Company | Systems and method for analyzing property related information |
| US11037245B1 (en) * | 2015-10-15 | 2021-06-15 | Allstate Insurance Company | Generating insurance quotes |
| US10733648B1 (en) * | 2015-10-23 | 2020-08-04 | State Farm Mutual Automobile Insurance Company | Vehicle safety information system |
| US20230177616A1 (en) * | 2015-11-17 | 2023-06-08 | State Farm Mutual Automobile Insurance Company | System and computer-implemented method for using images to evaluate property damage claims and perform related actions |
| US10630723B1 (en) | 2015-12-03 | 2020-04-21 | United Services Automobile Association (Usaa) | Determining policy characteristics based on route similarity |
| SE539427C2 (en) * | 2015-12-15 | 2017-09-19 | Greater Than S A | Method and system for assessing the trip performance of a driver |
| AU2016273909B2 (en) * | 2015-12-16 | 2018-03-08 | Accenture Global Solutions Limited | Data pipeline architecture for cloud processing of structured and unstructured data |
| US9749470B1 (en) * | 2016-01-27 | 2017-08-29 | State Farm Mutual Automobile Insurance Company | Systems and methods for handling communications during user operation of a motor vehicle |
| US9574888B1 (en) * | 2016-01-29 | 2017-02-21 | International Business Machines Corporation | Route generation based on contextual risk |
| US10269075B2 (en) | 2016-02-02 | 2019-04-23 | Allstate Insurance Company | Subjective route risk mapping and mitigation |
| US10529046B1 (en) | 2016-02-08 | 2020-01-07 | Allstate Insurance Company | Vehicle rating system |
| US10528989B1 (en) | 2016-02-08 | 2020-01-07 | Allstate Insurance Company | Vehicle rating system |
| US10789663B1 (en) | 2016-02-08 | 2020-09-29 | Allstate Insurance Company | Vehicle rating system |
| US10672080B1 (en) * | 2016-02-12 | 2020-06-02 | State Farm Mutual Automobile Insurance Company | Systems and methods for enhanced personal property replacement |
| US10699347B1 (en) | 2016-02-24 | 2020-06-30 | Allstate Insurance Company | Polynomial risk maps |
| JP6962316B2 (en) * | 2016-03-29 | 2021-11-05 | ソニーグループ株式会社 | Information processing equipment, information processing methods, programs, and systems |
| US11851041B1 (en) * | 2016-04-11 | 2023-12-26 | State Farm Mutual Automobile Insurance Company | System for determining road slipperiness in bad weather conditions |
| US10124750B2 (en) | 2016-04-26 | 2018-11-13 | Honeywell International Inc. | Vehicle security module system |
| US10728249B2 (en) | 2016-04-26 | 2020-07-28 | Garrett Transporation I Inc. | Approach for securing a vehicle access port |
| US10036338B2 (en) | 2016-04-26 | 2018-07-31 | Honeywell International Inc. | Condition-based powertrain control system |
| DK179186B1 (en) | 2016-05-19 | 2018-01-15 | Apple Inc | REMOTE AUTHORIZATION TO CONTINUE WITH AN ACTION |
| US10621581B2 (en) | 2016-06-11 | 2020-04-14 | Apple Inc. | User interface for transactions |
| CN109313759B (en) | 2016-06-11 | 2022-04-26 | 苹果公司 | User interface for transactions |
| DK201670622A1 (en) | 2016-06-12 | 2018-02-12 | Apple Inc | User interfaces for transactions |
| US11783421B2 (en) | 2016-06-16 | 2023-10-10 | Allstate Insurance Company | Traveling-based insurance ratings |
| US9983013B1 (en) * | 2016-07-08 | 2018-05-29 | Allstate Insurance Company | Automated vehicle control and guidance based on real-time blind corner navigational analysis |
| US20180018833A1 (en) * | 2016-07-18 | 2018-01-18 | Ford Global Technologies, Llc | Vehicle Database Storage And Retrieval Methods And Systems |
| US11042938B1 (en) | 2016-08-08 | 2021-06-22 | Allstate Insurance Company | Driver identity detection and alerts |
| CN109562757B (en) | 2016-08-22 | 2022-07-12 | 索尼公司 | Driving assistance device, driving assistance method, mobile body, and program |
| US10410291B1 (en) * | 2016-09-02 | 2019-09-10 | State Farm Mutual Automobile Insurance Company | Systems and methods for analyzing unmanned aerial missions |
| US20180068313A1 (en) | 2016-09-06 | 2018-03-08 | Apple Inc. | User interfaces for stored-value accounts |
| WO2018046102A1 (en) | 2016-09-10 | 2018-03-15 | Swiss Reinsurance Company Ltd. | Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof |
| US10650621B1 (en) | 2016-09-13 | 2020-05-12 | Iocurrents, Inc. | Interfacing with a vehicular controller area network |
| DK179471B1 (en) | 2016-09-23 | 2018-11-26 | Apple Inc. | Image data for enhanced user interactions |
| CN106357657B (en) * | 2016-09-29 | 2020-02-21 | 恒大智慧科技有限公司 | Signing and issuing user management method and device |
| US10498827B2 (en) * | 2016-09-30 | 2019-12-03 | The Toronto-Dominion Bank | Automated implementation of provisioned services based on captured sensor data |
| US10264111B2 (en) | 2016-10-04 | 2019-04-16 | Allstate Solutions Private Limited | Mobile device communication access and hands-free device activation |
| US9979813B2 (en) | 2016-10-04 | 2018-05-22 | Allstate Solutions Private Limited | Mobile device communication access and hands-free device activation |
| US11295218B2 (en) | 2016-10-17 | 2022-04-05 | Allstate Solutions Private Limited | Partitioning sensor based data to generate driving pattern map |
| US10496808B2 (en) | 2016-10-25 | 2019-12-03 | Apple Inc. | User interface for managing access to credentials for use in an operation |
| US10832261B1 (en) * | 2016-10-28 | 2020-11-10 | State Farm Mutual Automobile Insurance Company | Driver profiles based upon driving behavior with passengers |
| US10970786B1 (en) * | 2016-11-17 | 2021-04-06 | United Services Automobile Association (Usaa) | Recommendation engine for cost of a claim |
| KR101822308B1 (en) * | 2016-11-23 | 2018-01-25 | 현대자동차주식회사 | Controlling method and system for service of vehicle |
| EP3548729B1 (en) | 2016-11-29 | 2023-02-22 | Garrett Transportation I Inc. | An inferential flow sensor |
| US20180170392A1 (en) * | 2016-12-20 | 2018-06-21 | Baidu Usa Llc | Method and System to Recognize Individual Driving Preference for Autonomous Vehicles |
| US9947052B1 (en) | 2016-12-20 | 2018-04-17 | Allstate Insurance Company | Controlling autonomous vehicles to optimize traffic characteristics |
| CN106781437A (en) * | 2016-12-22 | 2017-05-31 | 安徽保腾网络科技有限公司 | For the reparation strategy determination method of fender-bender |
| US10152641B2 (en) * | 2017-01-20 | 2018-12-11 | Jack Cooper Logistics, LLC | Artificial intelligence based vehicle dashboard analysis |
| US10149116B1 (en) | 2017-01-27 | 2018-12-04 | Allstate Insurance Company | Early notification of driving status to a mobile device |
| US10118628B2 (en) * | 2017-02-21 | 2018-11-06 | Allstate Insurance Company | Data processing system for guidance, control, and testing autonomous vehicle features and driver response |
| US10621860B2 (en) * | 2017-03-02 | 2020-04-14 | Veniam, Inc. | Systems and methods for characterizing and managing driving behavior in the context of a network of moving things, including for use in autonomous vehicles |
| US20180268489A1 (en) * | 2017-03-17 | 2018-09-20 | Service First Insurance Group LLC | System and methods for risk management optimization |
| US11030710B2 (en) * | 2017-03-24 | 2021-06-08 | Kolapo Malik Akande | System and method for ridesharing |
| US10733311B2 (en) | 2017-03-29 | 2020-08-04 | International Business Machines Corporation | Cognitive internet of things (IoT) gateways for data security and privacy protection in real-time context-based data applications |
| US11334952B1 (en) | 2017-04-05 | 2022-05-17 | State Farm Mutual Automobile Insurance Company | Systems and methods for usage based insurance via blockchain |
| US11087267B1 (en) | 2017-04-12 | 2021-08-10 | Wells Fargo Bank, N.A. | Configurable vehicle |
| US10633001B2 (en) | 2017-06-05 | 2020-04-28 | Allstate Insurance Company | Vehicle telematics based driving assessment |
| TWI663084B (en) * | 2017-08-22 | 2019-06-21 | 力巨人有限公司 | Business method of combining vehicle electronic anti-theft system with insurance business |
| US11861566B1 (en) | 2017-08-24 | 2024-01-02 | State Farm Mutual Automobile Insurance Company | Vehicle telematics systems and methods |
| US11176461B1 (en) | 2017-08-29 | 2021-11-16 | Massachusetts Mutual Life Insurance Company | System and method for managing routing of customer calls to agents |
| US10257355B1 (en) | 2017-08-29 | 2019-04-09 | Massachusetts Mutual Life Insurance Company | System and method for managing customer call-backs |
| CN107688645B (en) * | 2017-08-30 | 2020-04-10 | 平安科技(深圳)有限公司 | Policy data processing method and terminal equipment |
| WO2019048034A1 (en) * | 2017-09-06 | 2019-03-14 | Swiss Reinsurance Company Ltd. | Electronic logging and track identification system for mobile telematics devices, and corresponding method thereof |
| KR102185854B1 (en) | 2017-09-09 | 2020-12-02 | 애플 인크. | Implementation of biometric authentication |
| KR102389678B1 (en) | 2017-09-09 | 2022-04-21 | 애플 인크. | Implementation of biometric authentication |
| US11057213B2 (en) | 2017-10-13 | 2021-07-06 | Garrett Transportation I, Inc. | Authentication system for electronic control unit on a bus |
| US11334951B1 (en) * | 2017-10-27 | 2022-05-17 | Wells Fargo Bank, N.A. | Trip-segment payments for vehicle insurance |
| US20190197568A1 (en) * | 2017-12-21 | 2019-06-27 | International Business Machines Corporation | Segmentation via weather susceptibility scoring |
| JP7128434B2 (en) * | 2018-02-08 | 2022-08-31 | トヨタ自動車株式会社 | Privilege selection device, privilege selection method, and information terminal |
| US11562436B2 (en) * | 2018-02-08 | 2023-01-24 | The Travelers Indemnity Company | Systems and methods for automated accident analysis |
| US20210081698A1 (en) * | 2018-02-09 | 2021-03-18 | Nano Techgalaxy, Inc. D/B/A Galaxy.Ai | Systems and methods for physical object analysis |
| KR102496654B1 (en) * | 2018-02-21 | 2023-02-07 | 현대자동차주식회사 | Apparatus and method for controlling driving mode change of vehicle, vehicle system |
| JP6524568B1 (en) * | 2018-03-23 | 2019-06-05 | パナソニックIpマネジメント株式会社 | Driving support device |
| EP3776493B1 (en) * | 2018-03-28 | 2025-08-20 | Munic | Method and system to improve driver information and vehicle maintenance |
| US10825318B1 (en) | 2018-04-09 | 2020-11-03 | State Farm Mutual Automobile Insurance Company | Sensing peripheral heuristic evidence, reinforcement, and engagement system |
| US12454277B1 (en) | 2018-04-19 | 2025-10-28 | State Farm Mutual Automobile Insurance Company | Determining risk for a user of an autonomous vehicle |
| US11346680B2 (en) | 2018-05-09 | 2022-05-31 | International Business Machines Corporation | Driver experience-based vehicle routing and insurance adjustment |
| CN109522400B (en) * | 2018-05-28 | 2023-07-07 | 深圳平安医疗健康科技服务有限公司 | Nuclear protection method, device, computer equipment and storage medium |
| US11170085B2 (en) | 2018-06-03 | 2021-11-09 | Apple Inc. | Implementation of biometric authentication |
| US20190370364A1 (en) * | 2018-06-05 | 2019-12-05 | Peter J. Casatelli | Processing system to facilitate update of existing electronic record information |
| WO2020036826A1 (en) * | 2018-08-11 | 2020-02-20 | Barish Phillip H | Systems and methods for collecting, aggregating and reporting insurance claims data |
| US11100349B2 (en) | 2018-09-28 | 2021-08-24 | Apple Inc. | Audio assisted enrollment |
| US10860096B2 (en) | 2018-09-28 | 2020-12-08 | Apple Inc. | Device control using gaze information |
| US11538057B2 (en) | 2018-09-28 | 2022-12-27 | Allstate Insurance Company | Data processing system with machine learning engine to provide output generation functions |
| US11182860B2 (en) | 2018-10-05 | 2021-11-23 | The Toronto-Dominion Bank | System and method for providing photo-based estimation |
| US12014424B2 (en) | 2018-10-09 | 2024-06-18 | SafeAI, Inc. | Autonomous vehicle premium computation using predictive models |
| US10847027B1 (en) * | 2018-10-31 | 2020-11-24 | United Services Automobile Association (Usaa) | Method and system for detecting use of garage |
| US11348181B1 (en) * | 2018-10-31 | 2022-05-31 | United Services Automobile Association (Usaa) | Method and system for assessing driving risks by detecting driving routines |
| US10668930B1 (en) * | 2019-02-04 | 2020-06-02 | State Farm Mutual Automobile Insurance Company | Determining acceptable driving behavior based on vehicle specific characteristics |
| US11816600B1 (en) * | 2019-02-07 | 2023-11-14 | State Farm Mutual Automobile Insurance Company | Systems and methods for detecting building events and trends |
| US11328352B2 (en) | 2019-03-24 | 2022-05-10 | Apple Inc. | User interfaces for managing an account |
| CN111369799B (en) * | 2019-05-20 | 2021-11-23 | 杭州海康威视系统技术有限公司 | Method, device and system for detecting modified vehicle |
| US11477609B2 (en) | 2019-06-01 | 2022-10-18 | Apple Inc. | User interfaces for location-related communications |
| US11481094B2 (en) | 2019-06-01 | 2022-10-25 | Apple Inc. | User interfaces for location-related communications |
| US10692383B1 (en) * | 2019-06-05 | 2020-06-23 | Nanning Fugui Precision Industrial Co., Ltd. | Method for locating vehicle and electronic device employing the method |
| US11227490B2 (en) | 2019-06-18 | 2022-01-18 | Toyota Motor North America, Inc. | Identifying changes in the condition of a transport |
| US20200402149A1 (en) | 2019-06-18 | 2020-12-24 | Toyota Motor North America, Inc. | Identifying changes in the condition of a transport |
| IT201900010122A1 (en) | 2019-06-26 | 2020-12-26 | Gbsapri S P A | REMOTE PERSONALIZED INSURANCE ASSISTANCE SYSTEM AND METHOD |
| US11544791B1 (en) * | 2019-08-28 | 2023-01-03 | State Farm Mutual Automobile Insurance Company | Systems and methods for generating mobility insurance products using ride-sharing telematics data |
| US20210065469A1 (en) | 2019-08-29 | 2021-03-04 | Toyota Motor North America, Inc. | Analysis of transport damage |
| US11494847B2 (en) | 2019-08-29 | 2022-11-08 | Toyota Motor North America, Inc. | Analysis of transport damage |
| US11169830B2 (en) | 2019-09-29 | 2021-11-09 | Apple Inc. | Account management user interfaces |
| EP4300277A3 (en) | 2019-09-29 | 2024-03-13 | Apple Inc. | Account management user interfaces |
| US11055924B2 (en) | 2019-09-30 | 2021-07-06 | The Toronto-Dominion Bank | System and method for accessing and providing vehicle information in augmented reality |
| WO2021079329A1 (en) * | 2019-10-24 | 2021-04-29 | 50Fifty Luxury Car Insurance (Pty) Ltd | Vehicle usage |
| US10880691B1 (en) | 2019-10-31 | 2020-12-29 | Root, Inc. | Passively capturing and monitoring device behaviors |
| KR102770842B1 (en) * | 2019-12-18 | 2025-02-24 | 엘지전자 주식회사 | Portable apparatus for providing notification |
| CN111062701B (en) * | 2019-12-18 | 2024-07-23 | 博泰车联网科技(上海)股份有限公司 | Insurance management method and related device |
| US11615650B2 (en) * | 2020-02-12 | 2023-03-28 | Electronic Transaction Consultants, Llc | Tolling system using both fully and limited equipped detection systems |
| US11631290B2 (en) * | 2020-02-12 | 2023-04-18 | Electronic Transaction Consultants, Llc | Path detection for tolling system using vehicle identifier correlation |
| US11276501B1 (en) | 2020-02-24 | 2022-03-15 | BlueOwl, LLC | Systems and methods for determining a risk score using machine learning based at least in part upon collected sensor data |
| DK202070633A1 (en) | 2020-04-10 | 2021-11-12 | Apple Inc | User interfaces for enabling an activity |
| US11644326B2 (en) * | 2020-04-13 | 2023-05-09 | Allstate Insurance Company | Machine learning platform for dynamic device and sensor quality evaluation |
| US11657458B2 (en) | 2020-06-10 | 2023-05-23 | Allstate Insurance Company | Data processing system for secure data sharing and customized output generation |
| US11816194B2 (en) | 2020-06-21 | 2023-11-14 | Apple Inc. | User interfaces for managing secure operations |
| US20220046380A1 (en) * | 2020-08-10 | 2022-02-10 | Wejo Ltd. | System and method for processing vehicle event data for journey analysis |
| TR202018682A2 (en) * | 2020-11-20 | 2021-03-22 | Tuerkiye Garanti Bankasi Anonim Sirketi | A TRAFFIC INSURANCE RISK DETECTION SYSTEM |
| KR102493306B1 (en) * | 2020-12-16 | 2023-01-31 | 여태환 | Apparatus and method for performing driver-specific start control and driving information generation for a motorcycle based on biometrics |
| EP4675470A2 (en) | 2021-01-25 | 2026-01-07 | Apple Inc. | Implementation of biometric authentication |
| US12210603B2 (en) | 2021-03-04 | 2025-01-28 | Apple Inc. | User interface for enrolling a biometric feature |
| US12182831B2 (en) | 2021-04-29 | 2024-12-31 | Quanata, Llc | Systems and methods for adjusting a dynamic discount |
| US11820387B2 (en) * | 2021-05-10 | 2023-11-21 | Qualcomm Incorporated | Detecting driving behavior of vehicles |
| US12216754B2 (en) | 2021-05-10 | 2025-02-04 | Apple Inc. | User interfaces for authenticating to perform secure operations |
| WO2022260657A1 (en) | 2021-06-08 | 2022-12-15 | Templer Lisa | Boat sharing system |
| WO2023014899A1 (en) | 2021-08-05 | 2023-02-09 | Vinli, Inc. | Normalizing and securely transmitting telematics data |
| US20230060261A1 (en) * | 2021-09-01 | 2023-03-02 | State Farm Mutual Automobile Insurance Company | High Efficiency Isolation of Intersection and Road Crossings for Driving Analytics |
| CN114841818B (en) * | 2022-04-18 | 2023-06-16 | 北京交通大学 | Customized car insurance bidding privacy protection method based on cross-chain technology |
| US20230334866A1 (en) * | 2022-04-19 | 2023-10-19 | Tractable Ltd | Remote Vehicle Inspection |
| US12094333B2 (en) * | 2023-02-16 | 2024-09-17 | Robert Cox | Short range intervehicle communication assembly |
| US20240394800A1 (en) * | 2023-03-06 | 2024-11-28 | Goosehead Financial, LLC | Quote-to-issue digital transaction system |
| US20240312228A1 (en) * | 2023-03-16 | 2024-09-19 | Ford Global Technologies, Llc | Selective privacy mode operation for in-cabin monitoring |
| US20240377211A1 (en) * | 2023-05-10 | 2024-11-14 | State Farm Mutual Automobile Insurance Company | Automated route generation and frictionless engagement systems and methods |
| WO2025107063A1 (en) * | 2023-11-20 | 2025-05-30 | Intact Financial Corporation | System and method for detection of sound in usage based insurance |
| TWI897818B (en) * | 2025-03-04 | 2025-09-11 | 羅賓斯科技股份有限公司 | A system of intelligent insurance recommendation matching and dynamic cost estimation and the method thereof |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020111725A1 (en) * | 2000-07-17 | 2002-08-15 | Burge John R. | Method and apparatus for risk-related use of vehicle communication system data |
| US20050267784A1 (en) * | 2004-05-06 | 2005-12-01 | Humana Inc. | Pharmacy personal care account |
| US20060079280A1 (en) * | 2004-09-13 | 2006-04-13 | Laperch Richard C | Personal wireless gateway and method for implementing the same |
| US7812712B2 (en) * | 2006-02-13 | 2010-10-12 | All Protect, Llc | Method and system for controlling a vehicle given to a third party |
| US7865378B2 (en) * | 2004-10-29 | 2011-01-04 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
| US8027853B1 (en) * | 2008-10-23 | 2011-09-27 | United States Automobile Associates (USAA) | Systems and methods for self-service vehicle risk adjustment |
| US20120069979A1 (en) * | 2004-01-09 | 2012-03-22 | Henry Jr Coulter C | Methods for Providing Overdraft Protection for Post-Paid Communication Service Plans |
| US8423239B2 (en) * | 2009-11-23 | 2013-04-16 | Hti Ip, L.L.C. | Method and system for adjusting a charge related to use of a vehicle during a period based on operational performance data |
| US9053469B1 (en) * | 2009-07-10 | 2015-06-09 | United Services Automobile Association | System and method for providing usage based vehicle insurance |
Family Cites Families (252)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4303904A (en) * | 1979-10-12 | 1981-12-01 | Chasek Norman E | Universally applicable, in-motion and automatic toll paying system using microwaves |
| US7415126B2 (en) * | 1992-05-05 | 2008-08-19 | Automotive Technologies International Inc. | Occupant sensing system |
| US5310999A (en) * | 1992-07-02 | 1994-05-10 | At&T Bell Laboratories | Secure toll collection system for moving vehicles |
| US5319611A (en) * | 1993-03-31 | 1994-06-07 | National Research Council Of Canada | Method of determining range data in a time-of-flight ranging system |
| US5550551A (en) * | 1994-07-25 | 1996-08-27 | At&T Corp. | Position monitoring system and method |
| US5499182A (en) * | 1994-12-07 | 1996-03-12 | Ousborne; Jeffrey | Vehicle driver performance monitoring system |
| US7650210B2 (en) * | 1995-06-07 | 2010-01-19 | Automotive Technologies International, Inc. | Remote vehicle diagnostic management |
| US7630802B2 (en) * | 1995-06-07 | 2009-12-08 | Automotive Technologies International, Inc. | Information management and monitoring system and method |
| US5819230A (en) * | 1995-08-08 | 1998-10-06 | Homevest Financial Group, Inc. | System and method for tracking and funding asset purchase and insurance policy |
| US8140358B1 (en) | 1996-01-29 | 2012-03-20 | Progressive Casualty Insurance Company | Vehicle monitoring system |
| US5797134A (en) | 1996-01-29 | 1998-08-18 | Progressive Casualty Insurance Company | Motor vehicle monitoring system for determining a cost of insurance |
| US6868386B1 (en) | 1996-01-29 | 2005-03-15 | Progressive Casualty Insurance Company | Monitoring system for determining and communicating a cost of insurance |
| US8090598B2 (en) | 1996-01-29 | 2012-01-03 | Progressive Casualty Insurance Company | Monitoring system for determining and communicating a cost of insurance |
| US6400835B1 (en) * | 1996-05-15 | 2002-06-04 | Jerome H. Lemelson | Taillight mounted vehicle security system employing facial recognition using a reflected image |
| US5916287A (en) * | 1996-09-30 | 1999-06-29 | Hewlett-Packard Company | Modular automotive diagnostic, test and information system |
| US7870010B2 (en) | 1997-07-31 | 2011-01-11 | Raymond Anthony Joao | Apparatus and method for processing lease insurance information |
| US7236950B2 (en) * | 1998-10-29 | 2007-06-26 | Universal Card Services Corp. | Method and system of combined billing of multiple accounts on a single statement |
| US6313791B1 (en) * | 1999-05-27 | 2001-11-06 | Michael Dean Klanke | Automotive GPS control system |
| US6434510B1 (en) * | 1999-07-21 | 2002-08-13 | Terry S. Callaghan | Vehicle accessory for monitoring travel distance |
| JP2001076012A (en) | 1999-08-31 | 2001-03-23 | Hitachi Ltd | Vehicle information collection method and device |
| US7467034B2 (en) * | 2002-11-04 | 2008-12-16 | Automotive Technologies International, Inc. | Tire monitoring techniques |
| AU2407301A (en) * | 1999-12-23 | 2001-07-24 | Car Point Korea Co. Ltd. | Method and system for processing automobile insurance of a prepaid type according to driving distance and time of vehicle |
| US6408232B1 (en) * | 2000-04-18 | 2002-06-18 | Agere Systems Guardian Corp. | Wireless piconet access to vehicle operational statistics |
| US7343306B1 (en) * | 2000-04-20 | 2008-03-11 | International Business Machines Corporation | Location-based vehicle risk assessment system |
| US7343310B1 (en) * | 2000-04-28 | 2008-03-11 | Travelers Property Casualty Corp. | System and method for providing web-based user interface to legacy, personal-lines insurance applications |
| US7941258B1 (en) * | 2000-08-31 | 2011-05-10 | Strategic Design Federation W, Inc. | Automobile monitoring for operation analysis |
| US7584033B2 (en) * | 2000-08-31 | 2009-09-01 | Strategic Design Federation W. Inc. | Automobile monitoring for operation analysis |
| US7860764B1 (en) * | 2000-10-19 | 2010-12-28 | Blaise Alexander | Method and system for leasing motor vehicles to credit challenged consumers |
| US7028009B2 (en) * | 2001-01-17 | 2006-04-11 | Contentguardiholdings, Inc. | Method and apparatus for distributing enforceable property rights |
| US20020128985A1 (en) * | 2001-03-09 | 2002-09-12 | Brad Greenwald | Vehicle value appraisal system |
| US7752326B2 (en) * | 2001-08-20 | 2010-07-06 | Masterobjects, Inc. | System and method for utilizing asynchronous client server communication objects |
| US7725348B1 (en) * | 2001-10-17 | 2010-05-25 | United Toll Systems, Inc. | Multilane vehicle information capture system |
| US6718235B1 (en) * | 2001-11-19 | 2004-04-06 | Volvo Trucks North America, Inc. | Route control system |
| US6617707B1 (en) * | 2001-11-30 | 2003-09-09 | Scott A. Reece | Driver identification system |
| US6741168B2 (en) * | 2001-12-13 | 2004-05-25 | Samsung Electronics Co., Ltd. | Method and apparatus for automated collection and transfer of collision information |
| US7107285B2 (en) * | 2002-03-16 | 2006-09-12 | Questerra Corporation | Method, system, and program for an improved enterprise spatial system |
| JP4416374B2 (en) * | 2002-03-26 | 2010-02-17 | 富士通株式会社 | Insurance premium setting method, insurance premium setting program, and insurance premium setting device |
| JP2003323555A (en) * | 2002-04-30 | 2003-11-14 | Hewlett Packard Japan Ltd | Method and system for information distribution |
| US6885312B1 (en) * | 2002-05-28 | 2005-04-26 | Bellsouth Intellectual Property Corporation | Method and system for mapping vehicle parking |
| JP2004029872A (en) * | 2002-06-21 | 2004-01-29 | Hitachi Ltd | Premium calculation system |
| KR20040017465A (en) * | 2002-08-21 | 2004-02-27 | 주식회사 텔사인 | Method and system of calculating a car insurance value using a smartcard |
| JP3699434B2 (en) * | 2002-10-03 | 2005-09-28 | 三菱電機株式会社 | Vehicle anti-theft device |
| US6832141B2 (en) * | 2002-10-25 | 2004-12-14 | Davis Instruments | Module for monitoring vehicle operation through onboard diagnostic port |
| US7023328B2 (en) * | 2002-10-28 | 2006-04-04 | Matsushita Electric Industrial Co., Ltd. | Automobile insurance warning system |
| US20040102984A1 (en) * | 2002-11-27 | 2004-05-27 | Stefan Wahlbin | Computerized method and system for estimating liability using recorded vehicle data |
| US20040107042A1 (en) * | 2002-12-03 | 2004-06-03 | Seick Ryan E. | Road hazard data collection system and method |
| JP4578795B2 (en) * | 2003-03-26 | 2010-11-10 | 富士通テン株式会社 | Vehicle control device, vehicle control method, and vehicle control program |
| US6931309B2 (en) * | 2003-05-06 | 2005-08-16 | Innosurance, Inc. | Motor vehicle operating data collection and analysis |
| EP1652128B1 (en) * | 2003-07-07 | 2014-05-14 | Insurance Services Office, Inc. | Traffic information system |
| US7161466B2 (en) * | 2003-07-30 | 2007-01-09 | Lear Corporation | Remote control automatic appliance activation |
| JP2005096744A (en) * | 2003-09-01 | 2005-04-14 | Matsushita Electric Ind Co Ltd | Crew authentication device |
| US9311676B2 (en) * | 2003-09-04 | 2016-04-12 | Hartford Fire Insurance Company | Systems and methods for analyzing sensor data |
| US7542915B2 (en) * | 2003-09-30 | 2009-06-02 | The Boeing Company | System of charging for automobile insurance |
| US8600604B2 (en) * | 2004-01-29 | 2013-12-03 | Intelligent Mechatronic Systems Inc. | Data integrity verification device |
| US20050283388A1 (en) * | 2004-06-17 | 2005-12-22 | Eberwine David B | System and method for automotive liability insurance verification |
| DE102005042081B4 (en) * | 2004-09-06 | 2013-12-19 | Denso Corporation | Anti-theft system for vehicles |
| US20060053038A1 (en) * | 2004-09-08 | 2006-03-09 | Warren Gregory S | Calculation of driver score based on vehicle operation |
| US8271299B2 (en) * | 2004-09-10 | 2012-09-18 | Davidson S Kenneth | Return-of-premium insurance system and method |
| US7889931B2 (en) * | 2004-10-22 | 2011-02-15 | Gb Investments, Inc. | Systems and methods for automated vehicle image acquisition, analysis, and reporting |
| US20070299700A1 (en) * | 2004-10-29 | 2007-12-27 | Milemeter, Inc. | System and Method for Assessing Earned Premium for Distance-Based Vehicle Insurance |
| US7890355B2 (en) * | 2004-10-29 | 2011-02-15 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
| US7987103B2 (en) * | 2004-10-29 | 2011-07-26 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
| US7991629B2 (en) * | 2004-10-29 | 2011-08-02 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
| US9875508B1 (en) * | 2004-11-19 | 2018-01-23 | Allstate Insurance Company | Systems and methods for customizing insurance |
| US7908080B2 (en) | 2004-12-31 | 2011-03-15 | Google Inc. | Transportation routing |
| US8016416B1 (en) * | 2005-01-15 | 2011-09-13 | Sandy Helene Straus | Automatic system and methods for measuring and evaluating at least one of mass vision, cognition, knowledge, operation skills, and the like |
| US7937278B1 (en) * | 2005-01-18 | 2011-05-03 | Allstate Insurance Company | Usage-based insurance cost determination system and method |
| US20060206415A1 (en) * | 2005-03-08 | 2006-09-14 | Mark Ross | Method for facilitating the acquisition of a life insurance policy |
| JP2006252138A (en) * | 2005-03-10 | 2006-09-21 | Omron Corp | Driver photographing device and driver monitoring device |
| US20060247852A1 (en) | 2005-04-29 | 2006-11-02 | Kortge James M | System and method for providing safety-optimized navigation route planning |
| US20070005404A1 (en) * | 2005-06-09 | 2007-01-04 | Drive Diagnostics Ltd. | System and method for providing driving insurance |
| DE502005008328D1 (en) * | 2005-07-06 | 2009-11-26 | Ford Global Tech Llc | Method for predicting driving situations in a motor vehicle |
| US8344849B2 (en) * | 2005-07-11 | 2013-01-01 | Volvo Technology Corporation | Method for performing driver identity verification |
| US20070046425A1 (en) * | 2005-08-25 | 2007-03-01 | Booth Irene F | Car security device |
| US8874477B2 (en) * | 2005-10-04 | 2014-10-28 | Steven Mark Hoffberg | Multifactorial optimization system and method |
| US20070124045A1 (en) * | 2005-11-29 | 2007-05-31 | Ayoub Ramy P | System and method for controlling the processing of content based on zones in vehicles |
| US7571128B1 (en) * | 2006-01-26 | 2009-08-04 | Ford Motor Company | Multi-vehicle incentive program |
| US8549318B2 (en) * | 2006-02-13 | 2013-10-01 | Affirmed Technologies, Llc | Method and system for preventing unauthorized use of a vehicle by an operator of the vehicle |
| GB0605069D0 (en) * | 2006-03-14 | 2006-04-26 | Airmax Group Plc | Method and system for driver style monitoring and analysing |
| US20070226014A1 (en) * | 2006-03-22 | 2007-09-27 | Bisrat Alemayehu | System and method of classifying vehicle insurance applicants |
| US20080106390A1 (en) * | 2006-04-05 | 2008-05-08 | White Steven C | Vehicle power inhibiter |
| US20070256499A1 (en) * | 2006-04-21 | 2007-11-08 | Pelecanos Jason W | Machine and operating environment diagnostics, detection and profiling using sound |
| US20070268158A1 (en) * | 2006-05-09 | 2007-11-22 | Drivecam, Inc. | System and Method for Reducing Driving Risk With Insight |
| US7659827B2 (en) * | 2006-05-08 | 2010-02-09 | Drivecam, Inc. | System and method for taking risk out of driving |
| US8508353B2 (en) | 2009-01-26 | 2013-08-13 | Drivecam, Inc. | Driver risk assessment system and method having calibrating automatic event scoring |
| US20080294690A1 (en) * | 2007-05-22 | 2008-11-27 | Mcclellan Scott | System and Method for Automatically Registering a Vehicle Monitoring Device |
| US7859392B2 (en) | 2006-05-22 | 2010-12-28 | Iwi, Inc. | System and method for monitoring and updating speed-by-street data |
| US20070282638A1 (en) * | 2006-06-04 | 2007-12-06 | Martin Surovy | Route based method for determining cost of automobile insurance |
| US7724145B2 (en) * | 2006-07-20 | 2010-05-25 | Intelleflex Corporation | Self-charging RFID tag with long life |
| US20080027761A1 (en) * | 2006-07-25 | 2008-01-31 | Avraham Bracha | System and method for verifying driver's insurance coverage |
| US8086523B1 (en) * | 2006-08-07 | 2011-12-27 | Allstate Insurance Company | Credit risk evaluation with responsibility factors |
| US20080051996A1 (en) * | 2006-08-23 | 2008-02-28 | Dunning Katherine A | Apparatus and method for vehicular display of information |
| US20080059019A1 (en) * | 2006-08-29 | 2008-03-06 | International Business Machines Coporation | Method and system for on-board automotive audio recorder |
| US20090002147A1 (en) * | 2006-08-30 | 2009-01-01 | Sony Ericsson Mobile Communications Ab | Method for safe operation of mobile phone in a car environment |
| US20080055050A1 (en) * | 2006-09-06 | 2008-03-06 | Robert Brown | Mobile file, indentification and security system device |
| US7873455B2 (en) * | 2006-09-25 | 2011-01-18 | Cnh America Llc | Work vehicle access monitoring and control system |
| US8240480B2 (en) * | 2006-10-16 | 2012-08-14 | Technological Resources Pty. Limited | Sorting mined material |
| US20110040579A1 (en) * | 2006-12-20 | 2011-02-17 | Safeco Insurance Company Of America | Web-based systems and methods for providing services related to automobile safety and an insurance product |
| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
| WO2008097499A1 (en) * | 2007-02-02 | 2008-08-14 | Hartford Fire Insurance Company | Safety evaluation and feedback system and method |
| US20080215376A1 (en) * | 2007-02-08 | 2008-09-04 | Lawrence Engelman | Long-term care insurance |
| US20080243558A1 (en) * | 2007-03-27 | 2008-10-02 | Ash Gupte | System and method for monitoring driving behavior with feedback |
| US8117049B2 (en) * | 2007-04-10 | 2012-02-14 | Hti Ip, Llc | Methods, systems, and apparatuses for determining driver behavior |
| DE102007017240A1 (en) * | 2007-04-12 | 2008-10-16 | Robert Bosch Gmbh | Method and route guidance device for determining a route |
| US20100138244A1 (en) * | 2007-05-02 | 2010-06-03 | Intelligent Mechatronic Systems Inc. | Recording and reporting of driving characteristics with privacy protection |
| US8606512B1 (en) * | 2007-05-10 | 2013-12-10 | Allstate Insurance Company | Route risk mitigation |
| US7756633B2 (en) * | 2007-05-11 | 2010-07-13 | Palo Alto Research Center Incorporated | System and method for security enhanced rideshare |
| US9129460B2 (en) * | 2007-06-25 | 2015-09-08 | Inthinc Technology Solutions, Inc. | System and method for monitoring and improving driver behavior |
| GB2451167A (en) * | 2007-07-16 | 2009-01-21 | Charles Graham Palmer | Separation of cost calculation means and payment services in a Position-Based Charging system. |
| US8577703B2 (en) | 2007-07-17 | 2013-11-05 | Inthinc Technology Solutions, Inc. | System and method for categorizing driving behavior using driver mentoring and/or monitoring equipment to determine an underwriting risk |
| US8046243B2 (en) * | 2007-07-17 | 2011-10-25 | Sap Ag | Automatic insurance adjustments using real world awareness |
| GB2451485A (en) * | 2007-08-01 | 2009-02-04 | Airmax Group Plc | Vehicle monitoring system |
| US8566126B1 (en) * | 2007-09-24 | 2013-10-22 | United Services Automobile Association | Systems and methods for processing vehicle or driver performance data |
| US20090094066A1 (en) * | 2007-10-03 | 2009-04-09 | Quotepro, Inc. | Methods and Systems for Providing Vehicle Insurance |
| DE102007058542A1 (en) * | 2007-12-06 | 2009-06-10 | Robert Bosch Gmbh | Driver assistance system for monitoring driving safety and corresponding method for detecting and evaluating a vehicle movement |
| US9014910B2 (en) * | 2007-12-07 | 2015-04-21 | General Motors Llc | Method and system for providing vehicle data to third party authorized recipients |
| US11159909B2 (en) * | 2008-02-05 | 2021-10-26 | Victor Thomas Anderson | Wireless location establishing device |
| US9665910B2 (en) * | 2008-02-20 | 2017-05-30 | Hartford Fire Insurance Company | System and method for providing customized safety feedback |
| US7898439B2 (en) * | 2008-03-20 | 2011-03-01 | Isabelle Bettez | Bicycle rental system and station |
| US20100030568A1 (en) * | 2008-07-29 | 2010-02-04 | Denso International America, Inc. | Unused allocated mileage counter |
| CA2732634A1 (en) * | 2008-07-31 | 2010-02-04 | Choicepoint Services, Inc. | Systems & methods of calculating and presenting automobile driving risks |
| US7876201B2 (en) | 2008-09-15 | 2011-01-25 | International Business Machines Corporation | Vehicle authorization method and system |
| US20150324920A1 (en) * | 2008-09-30 | 2015-11-12 | Allstate Insurance Company | Real-Time Insurance Estimate Based on Limited Identification |
| US8983677B2 (en) * | 2008-10-01 | 2015-03-17 | Honeywell International Inc. | Acoustic fingerprinting of mechanical devices |
| US9818157B2 (en) * | 2008-10-07 | 2017-11-14 | State Farm Mutual Automobile Insurance Company | Method for using electronic metadata to verify insurance claims |
| US20100131300A1 (en) * | 2008-11-26 | 2010-05-27 | Fred Collopy | Visible insurance |
| US8056538B2 (en) * | 2008-12-02 | 2011-11-15 | GM Global Technology Operations LLC | Method and system to prevent unauthorized uses of engine controllers |
| US20100185489A1 (en) * | 2009-01-21 | 2010-07-22 | Satyavolu Ramakrishna V | Method for determining a personalized true cost of service offerings |
| US8854199B2 (en) * | 2009-01-26 | 2014-10-07 | Lytx, Inc. | Driver risk assessment system and method employing automated driver log |
| US8332242B1 (en) * | 2009-03-16 | 2012-12-11 | United Services Automobile Association (Usaa) | Systems and methods for real-time driving risk prediction and route recommendation |
| US8438048B1 (en) * | 2009-05-29 | 2013-05-07 | United Services Automobile Association | Systems and methods for integrated purchasing of vehicles and vehicle insurance |
| US9916625B2 (en) * | 2012-02-02 | 2018-03-13 | Progressive Casualty Insurance Company | Mobile insurance platform system |
| US9616849B1 (en) * | 2009-06-26 | 2017-04-11 | United Services Automobile Association | Systems and methods for providing driving insurance for an individual driver |
| TR201200245T1 (en) | 2009-07-07 | 2012-06-21 | Tracktec Ltd | Drive profiling. |
| US9386447B2 (en) * | 2009-07-21 | 2016-07-05 | Scott Ferrill Tibbitts | Method and system for controlling a mobile communication device |
| US9008956B2 (en) * | 2009-07-29 | 2015-04-14 | The Invention Science Fund I, Llc | Promotional correlation with selective vehicle modes |
| US8515788B2 (en) * | 2009-09-04 | 2013-08-20 | The Travelers Indemnity Company | Methods and systems for providing customized risk mitigation/recovery to an insurance customer |
| US8538789B1 (en) * | 2009-10-30 | 2013-09-17 | Intuit Inc. | Mileage tracking system and method |
| US8145199B2 (en) * | 2009-10-31 | 2012-03-27 | BT Patent LLC | Controlling mobile device functions |
| US20130046562A1 (en) * | 2009-11-06 | 2013-02-21 | Jeffrey Taylor | Method for gathering, processing, and analyzing data to determine the risk associated with driving behavior |
| US8509987B2 (en) * | 2009-11-11 | 2013-08-13 | Benjamin Resner | Methods and apparatus for automatic internet logging and social comparison of vehicular driving behavior |
| US8359259B2 (en) * | 2009-11-12 | 2013-01-22 | Hartford Fire Insurance Company | System and method for administering telematics based reinsurance pools |
| US20130035964A1 (en) * | 2009-11-23 | 2013-02-07 | Hartford Fire Insurance Company | System and method for data processing for term life insurance policies issued before comprehensive underwriting |
| US8224677B2 (en) * | 2009-11-23 | 2012-07-17 | Hartford Fire Insurance Company | System and method for administering life insurance policies issued prior to underwriting |
| US8635091B2 (en) * | 2009-12-17 | 2014-01-21 | Hartford Fire Insurance Company | Systems and methods for linking vehicles to telematics-enabled portable devices |
| US9558520B2 (en) * | 2009-12-31 | 2017-01-31 | Hartford Fire Insurance Company | System and method for geocoded insurance processing using mobile devices |
| US20110213628A1 (en) * | 2009-12-31 | 2011-09-01 | Peak David F | Systems and methods for providing a safety score associated with a user location |
| US20120004933A1 (en) | 2010-02-09 | 2012-01-05 | At&T Mobility Ii Llc | System And Method For The Collection And Monitoring Of Vehicle Data |
| EP2360871B1 (en) * | 2010-02-15 | 2016-04-06 | Accenture Global Services Limited | Machine to machine architecture |
| WO2011116375A1 (en) * | 2010-03-19 | 2011-09-22 | Northeastern University | Roaming mobile sensor platform for collecting geo-referenced data and creating thematic maps |
| US8836491B2 (en) * | 2010-04-29 | 2014-09-16 | Ford Global Technologies, Llc | Occupant detection |
| JP2011232293A (en) * | 2010-04-30 | 2011-11-17 | Toyota Motor Corp | Vehicle exterior sound detection device |
| US20120109692A1 (en) | 2010-05-17 | 2012-05-03 | The Travelers Indemnity Company | Monitoring customer-selected vehicle parameters in accordance with customer preferences |
| US20160086393A1 (en) * | 2010-05-17 | 2016-03-24 | The Travelers Indemnity Company | Customized vehicle monitoring privacy system |
| US20120101855A1 (en) * | 2010-05-17 | 2012-04-26 | The Travelers Indemnity Company | Monitoring client-selected vehicle parameters in accordance with client preferences |
| US20120072244A1 (en) * | 2010-05-17 | 2012-03-22 | The Travelers Companies, Inc. | Monitoring customer-selected vehicle parameters |
| US8547214B2 (en) * | 2010-06-11 | 2013-10-01 | International Business Machines Corporation | System for preventing handheld device use while operating a vehicle |
| US8275640B2 (en) * | 2010-07-22 | 2012-09-25 | Webcetera, L.P. | Insurance quoting application for handheld device |
| US8489433B2 (en) * | 2010-07-29 | 2013-07-16 | Insurance Services Office, Inc. | System and method for estimating loss propensity of an insured vehicle and providing driving information |
| US20120065834A1 (en) * | 2010-09-10 | 2012-03-15 | Accenture Global Services Limited | Driving management system and method |
| WO2012040392A2 (en) * | 2010-09-21 | 2012-03-29 | Cellepathy Ltd. | System and method for sensor-based determination of user role, location, and/or state of one of more in-vehicle mobile devices and enforcement of usage thereof |
| US20130144657A1 (en) * | 2011-11-16 | 2013-06-06 | Flextronics Ap, Llc | Insurance tracking |
| RU2628181C1 (en) * | 2010-10-07 | 2017-08-15 | Сачин ГОЭЛ | System and methodology of network optimisation realized by computer |
| US20120112879A1 (en) * | 2010-11-09 | 2012-05-10 | Ekchian Caroline M | Apparatus and method for improved vehicle safety |
| US8484054B2 (en) * | 2010-11-22 | 2013-07-09 | Hartford Fire Insurance Company | System and method for managing electronic accounts in response to disability data |
| US8612139B2 (en) * | 2010-11-30 | 2013-12-17 | GM Global Technology Operations LLC | Systems and methods for planning vehicle routes based on safety factors |
| US9142142B2 (en) * | 2010-12-10 | 2015-09-22 | Kaarya, Llc | In-car driver tracking device |
| EP4195137A3 (en) | 2010-12-15 | 2023-09-13 | Auto Telematics Ltd | Method and system for logging vehicle behaviour |
| US8682699B2 (en) | 2010-12-26 | 2014-03-25 | The Travelers Indemnity Company | Systems and methods for customer-related risk zones |
| US20120173128A1 (en) * | 2010-12-30 | 2012-07-05 | Theresa Peeler | System and Method for Preventing the Operation of a Motor Vehicle Without Required Insurance |
| EP2666138A4 (en) * | 2011-01-17 | 2014-08-06 | Imetrik Technologies Inc | Computer-implemented method and system for reporting a confidence score in relation to a vehicle equipped with a wireless-enabled usage reporting device |
| US20120209632A1 (en) | 2011-01-24 | 2012-08-16 | Lexisnexis Risk Solutions Inc. | Telematics smart pinging systems and methods |
| US9164957B2 (en) * | 2011-01-24 | 2015-10-20 | Lexisnexis Risk Solutions Inc. | Systems and methods for telematics monitoring and communications |
| US8928495B2 (en) | 2011-01-24 | 2015-01-06 | Lexisnexis Risk Solutions Inc. | Systems and methods for telematics monitoring and communications |
| US20120197669A1 (en) * | 2011-01-27 | 2012-08-02 | Kote Thejovardhana S | Determining Cost of Auto Insurance |
| US8655544B2 (en) * | 2011-02-02 | 2014-02-18 | Kaarya Llc | System and method for tracking vehicle mileage with mobile devices |
| US9221428B2 (en) * | 2011-03-02 | 2015-12-29 | Automatic Labs Inc. | Driver identification system and methods |
| US8581711B2 (en) * | 2011-03-22 | 2013-11-12 | Gordon*Howard Associates, Inc. | Methods and systems of rule-based intoxicating substance testing associated with vehicles |
| US8731974B2 (en) * | 2011-04-05 | 2014-05-20 | Hartford Fire Insurance Company | Systems and methods associated with insurance for electric vehicles |
| WO2012150591A2 (en) * | 2011-05-03 | 2012-11-08 | Alon Atsmon | Automatic content analysis method and system |
| US9171409B2 (en) * | 2011-05-04 | 2015-10-27 | GM Global Technology Operations LLC | System and method for vehicle driving style determination |
| US8843348B2 (en) * | 2011-06-14 | 2014-09-23 | Hamilton Sundstrand Corporation | Engine noise monitoring as engine health management tool |
| US8781958B2 (en) * | 2011-06-15 | 2014-07-15 | Joseph Michael | Systems and methods for monitoring, managing, and facilitating transactions involving vehicles |
| US20120330499A1 (en) * | 2011-06-23 | 2012-12-27 | United Technologies Corporation | Acoustic diagnostic of fielded turbine engines |
| US10977601B2 (en) * | 2011-06-29 | 2021-04-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for controlling the collection of vehicle use data using a mobile device |
| US20110307188A1 (en) * | 2011-06-29 | 2011-12-15 | State Farm Insurance | Systems and methods for providing driver feedback using a handheld mobile device |
| US8686844B1 (en) * | 2011-06-29 | 2014-04-01 | Intellectual Ventures Fund 79 Llc | Methods, devices, and mediums associated with risk management of vehicle operation |
| US20130006674A1 (en) * | 2011-06-29 | 2013-01-03 | State Farm Insurance | Systems and Methods Using a Mobile Device to Collect Data for Insurance Premiums |
| KR20130004824A (en) * | 2011-07-04 | 2013-01-14 | 현대자동차주식회사 | Vehicle control system |
| US20130041621A1 (en) * | 2011-07-18 | 2013-02-14 | David B. Smith | Vehicle speed, fuel, and revenue optimizer |
| US9855919B2 (en) * | 2011-08-09 | 2018-01-02 | Intelligent Mechatronic Systems Inc. | Vehicle monitoring system with automatic driver identification |
| US20130046646A1 (en) * | 2011-08-18 | 2013-02-21 | Derrick S. Malan | Web Based Co-Op Trust Ownership Program |
| US8538785B2 (en) * | 2011-08-19 | 2013-09-17 | Hartford Fire Insurance Company | System and method for computing and scoring the complexity of a vehicle trip using geo-spatial information |
| US8569141B2 (en) * | 2011-08-31 | 2013-10-29 | Taiwan Semiconductor Manufacturing Company, Ltd. | Polysilicon resistor formation in a gate-last process |
| US8781900B2 (en) * | 2011-09-09 | 2014-07-15 | Gordon*Howard Associates, Inc. | Method and system of providing information to an occupant of a vehicle |
| US8744642B2 (en) * | 2011-09-16 | 2014-06-03 | Lytx, Inc. | Driver identification based on face data |
| US9235750B1 (en) * | 2011-09-16 | 2016-01-12 | Lytx, Inc. | Using passive driver identification and other input for providing real-time alerts or actions |
| US8788114B2 (en) | 2011-10-26 | 2014-07-22 | Telenav, Inc. | Navigation system with compliance reporting and method of operation thereof |
| US8818613B2 (en) * | 2011-12-09 | 2014-08-26 | General Motors Llc | Application for a communications and processing device |
| US8989914B1 (en) * | 2011-12-19 | 2015-03-24 | Lytx, Inc. | Driver identification based on driving maneuver signature |
| US20130166326A1 (en) | 2011-12-21 | 2013-06-27 | Scope Technologies Holdings Limited | System and method for characterizing driver performance and use in determining insurance coverage |
| DE102011121871B3 (en) * | 2011-12-21 | 2012-10-25 | Audi Ag | Method for determining occupant weight of motor car, involves detecting two times as two values of force acting on carriage load and suspension load, and detecting difference between two values to obtain occupant weight of vehicle |
| US9824064B2 (en) * | 2011-12-21 | 2017-11-21 | Scope Technologies Holdings Limited | System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior |
| US20130189660A1 (en) * | 2012-01-20 | 2013-07-25 | Mark Mangum | Methods and systems for assessing and developing the mental acuity and behavior of a person |
| US8527146B1 (en) * | 2012-01-30 | 2013-09-03 | Google Inc. | Systems and methods for updating vehicle behavior and settings based on the locations of vehicle passengers |
| US9170982B2 (en) * | 2012-02-09 | 2015-10-27 | Vehcon, Inc. | Machinery fingerprinting |
| US20130218604A1 (en) * | 2012-02-21 | 2013-08-22 | Elwha Llc | Systems and methods for insurance based upon monitored characteristics of a collision detection system |
| US20130226624A1 (en) * | 2012-02-24 | 2013-08-29 | B3, Llc | Systems and methods for comprehensive insurance loss management and loss minimization |
| US9098367B2 (en) * | 2012-03-14 | 2015-08-04 | Flextronics Ap, Llc | Self-configuring vehicle console application store |
| US20130262152A1 (en) * | 2012-03-28 | 2013-10-03 | The Travelers Indemnity Company | Systems and methods for certified location data collection, management, and utilization |
| US20130274955A1 (en) | 2012-04-13 | 2013-10-17 | Walter Steven Rosenbaum | Method for analyzing operation characteristics of a vehicle driver |
| US20130297387A1 (en) * | 2012-05-01 | 2013-11-07 | Joseph Michael | Systems and methods for monitoring, managing, and facilitating communications and/or transactions relating to transportation infrastructure utilization |
| US9922001B2 (en) * | 2012-05-10 | 2018-03-20 | Omnitracs, Llc | Off-board hours-of-service (“HOS”) processing |
| US8768734B2 (en) * | 2012-05-10 | 2014-07-01 | Hartford Fire Insurance Company | System and method for computing and sorting trip similarities using geo-spatial information |
| US9037394B2 (en) * | 2012-05-22 | 2015-05-19 | Hartford Fire Insurance Company | System and method to determine an initial insurance policy benefit based on telematics data collected by a smartphone |
| US8768565B2 (en) | 2012-05-23 | 2014-07-01 | Enterprise Holdings, Inc. | Rental/car-share vehicle access and management system and method |
| US8634822B2 (en) * | 2012-06-24 | 2014-01-21 | Tango Networks, Inc. | Automatic identification of a vehicle driver based on driving behavior |
| US9183441B2 (en) * | 2012-06-25 | 2015-11-10 | Vehcon, Inc. | Vehicle data collection and verification |
| US20140012604A1 (en) * | 2012-07-09 | 2014-01-09 | David W. Allen, JR. | Self-Selected Insurance Pool Management |
| US20140019167A1 (en) * | 2012-07-16 | 2014-01-16 | Shuli Cheng | Method and Apparatus for Determining Insurance Risk Based on Monitoring Driver's Eyes and Head |
| US20140025401A1 (en) * | 2012-07-17 | 2014-01-23 | Peter L. Hagelstein | Data acquisition apparatus configured to acquire data for insurance purposes, and related systems and methods |
| WO2014028377A2 (en) * | 2012-08-12 | 2014-02-20 | Insurance Services Office, Inc. | Apparatus and method for detecting driving performance data |
| US20140052479A1 (en) * | 2012-08-15 | 2014-02-20 | Empire Technology Development Llc | Estimating insurance risks and costs |
| WO2014031723A2 (en) * | 2012-08-21 | 2014-02-27 | Insurance Services Office, Inc. | Apparatus and method for analyzing driving performance data |
| US20140074402A1 (en) * | 2012-09-12 | 2014-03-13 | Lexisnexis Risk Solutions Fl Inc. | Systems and methods for determining risks associated with driving routes |
| US20140074345A1 (en) * | 2012-09-13 | 2014-03-13 | Chanan Gabay | Systems, Apparatuses, Methods, Circuits and Associated Computer Executable Code for Monitoring and Assessing Vehicle Health |
| US9141975B2 (en) * | 2012-09-23 | 2015-09-22 | Intel Corporation | Inferring user risk profile from travel patterns |
| US20140086419A1 (en) * | 2012-09-27 | 2014-03-27 | Manjit Rana | Method for capturing and using audio or sound signatures to analyse vehicle accidents and driver behaviours |
| CA2887494A1 (en) * | 2012-10-09 | 2014-04-17 | Insurance Services Office, Inc. | System and method for classifying and identifying a driver using driving performance data |
| US20140108058A1 (en) | 2012-10-11 | 2014-04-17 | Agero, Inc. | Method and System to Determine Auto Insurance Risk |
| US9141582B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
| US9141995B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
| US20140180723A1 (en) * | 2012-12-21 | 2014-06-26 | The Travelers Indemnity Company | Systems and methods for surface segment data |
| US9665997B2 (en) * | 2013-01-08 | 2017-05-30 | Gordon*Howard Associates, Inc. | Method and system for providing feedback based on driving behavior |
| US9232126B2 (en) * | 2013-02-22 | 2016-01-05 | Cognex Corporation | Apparatus for adjusting the focus of an image capturing device |
| US20140257863A1 (en) * | 2013-03-06 | 2014-09-11 | American Family Mutual Insurance Company | System and method of usage-based insurance with location-only data |
| US9031545B1 (en) * | 2013-03-08 | 2015-05-12 | Allstate Insurance Company | Encouraging safe driving using a remote vehicle starter |
| US9454786B1 (en) * | 2013-03-08 | 2016-09-27 | Allstate Insurance Company | Encouraging safe driving using a remote vehicle starter and personalized insurance rates |
| US8799036B1 (en) | 2013-03-10 | 2014-08-05 | State Farm Mutual Automobile Insurance Company | Systems and methods for analyzing vehicle operation data to facilitate insurance policy processing |
| US20140278574A1 (en) * | 2013-03-14 | 2014-09-18 | Ernest W. BARBER | System and method for developing a driver safety rating |
| US9053516B2 (en) * | 2013-07-15 | 2015-06-09 | Jeffrey Stempora | Risk assessment using portable devices |
| US8935036B1 (en) * | 2013-09-06 | 2015-01-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for updating a driving tip model using telematics data |
| US10540723B1 (en) * | 2014-07-21 | 2020-01-21 | State Farm Mutual Automobile Insurance Company | Methods of providing insurance savings based upon telematics and usage-based insurance |
| US10467824B2 (en) | 2016-04-26 | 2019-11-05 | Walter Steven Rosenbaum | Method for determining driving characteristics of a vehicle and vehicle analyzing system |
| US9916849B1 (en) * | 2016-11-09 | 2018-03-13 | Seagate Technology Llc | Method and apparatus for detecting and remediating in response to insufficient or excessive HAMR optical power |
| EP3578433B1 (en) | 2018-04-10 | 2020-08-12 | Walter Steven Rosenbaum | Method for estimating an accident risk of an autonomous vehicle |
| US11407410B2 (en) | 2018-04-10 | 2022-08-09 | Walter Steven Rosenbaum | Method and system for estimating an accident risk of an autonomous vehicle |
| US12454272B2 (en) | 2018-04-10 | 2025-10-28 | Walter Steven Rosenbaum | Method for estimating an accident risk of an autonomous vehicle |
| EP3730375B1 (en) | 2019-04-24 | 2021-10-20 | Walter Steven Rosenbaum | Method and system for analysing the control of a vehicle |
| US12258049B2 (en) | 2019-04-24 | 2025-03-25 | Walter Steven Rosenbaum | Method and system for analyzing the control of a vehicle |
| CN112080901B (en) | 2020-08-31 | 2024-02-13 | 青岛海尔洗衣机有限公司 | Laundry treatment equipment |
| EP4190659B1 (en) | 2021-12-06 | 2024-11-06 | Walter Steven Rosenbaum | Method and system for determining a state change |
-
2014
- 2014-03-10 US US14/202,997 patent/US8799036B1/en active Active
- 2014-03-10 US US14/203,115 patent/US20140257868A1/en not_active Abandoned
- 2014-03-10 US US14/203,015 patent/US9105066B2/en active Active
- 2014-03-10 US US14/203,349 patent/US9779458B2/en not_active Expired - Fee Related
- 2014-03-10 US US14/202,660 patent/US20140257865A1/en not_active Abandoned
- 2014-03-10 US US14/203,210 patent/US20140257870A1/en not_active Abandoned
- 2014-03-10 US US14/203,143 patent/US11068989B2/en active Active
- 2014-03-10 US US14/203,344 patent/US9734537B2/en active Active
- 2014-03-10 US US14/203,356 patent/US9208525B2/en active Active
- 2014-03-10 US US14/202,812 patent/US20140257866A1/en not_active Abandoned
- 2014-03-10 US US14/203,338 patent/US9141996B2/en active Active
- 2014-06-25 US US14/314,822 patent/US20140310028A1/en not_active Abandoned
-
2015
- 2015-07-01 US US14/788,998 patent/US10719879B1/en active Active
- 2015-07-09 US US14/795,369 patent/US10013719B1/en active Active
- 2015-09-23 US US14/862,703 patent/US9418383B1/en active Active
-
2016
- 2016-07-14 US US15/210,746 patent/US9646347B1/en active Active
-
2017
- 2017-02-27 US US15/443,936 patent/US10176530B1/en active Active
- 2017-06-30 US US15/639,016 patent/US10373264B1/en active Active
- 2017-08-10 US US15/674,067 patent/US9865020B1/en active Active
- 2017-11-28 US US15/824,311 patent/US10387967B1/en active Active
-
2018
- 2018-04-30 US US15/966,070 patent/US11315189B1/en active Active
-
2021
- 2021-06-18 US US17/351,662 patent/US11610270B2/en active Active
-
2022
- 2022-03-23 US US17/701,829 patent/US12002104B2/en active Active
-
2024
- 2024-03-27 US US18/618,863 patent/US12462310B2/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020111725A1 (en) * | 2000-07-17 | 2002-08-15 | Burge John R. | Method and apparatus for risk-related use of vehicle communication system data |
| US20120069979A1 (en) * | 2004-01-09 | 2012-03-22 | Henry Jr Coulter C | Methods for Providing Overdraft Protection for Post-Paid Communication Service Plans |
| US20050267784A1 (en) * | 2004-05-06 | 2005-12-01 | Humana Inc. | Pharmacy personal care account |
| US20060079280A1 (en) * | 2004-09-13 | 2006-04-13 | Laperch Richard C | Personal wireless gateway and method for implementing the same |
| US7865378B2 (en) * | 2004-10-29 | 2011-01-04 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
| US7812712B2 (en) * | 2006-02-13 | 2010-10-12 | All Protect, Llc | Method and system for controlling a vehicle given to a third party |
| US8027853B1 (en) * | 2008-10-23 | 2011-09-27 | United States Automobile Associates (USAA) | Systems and methods for self-service vehicle risk adjustment |
| US9053469B1 (en) * | 2009-07-10 | 2015-06-09 | United Services Automobile Association | System and method for providing usage based vehicle insurance |
| US8423239B2 (en) * | 2009-11-23 | 2013-04-16 | Hti Ip, L.L.C. | Method and system for adjusting a charge related to use of a vehicle during a period based on operational performance data |
Non-Patent Citations (1)
| Title |
|---|
| Classic car article Insurance by the mile, classic car feature article 102504 by Jack Nerad, "Insurance by the mile" * |
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| US10943303B1 (en) | 2014-11-13 | 2021-03-09 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operating style and mode monitoring |
| US10915965B1 (en) | 2014-11-13 | 2021-02-09 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle insurance based upon usage |
| US9569799B2 (en) | 2015-01-28 | 2017-02-14 | Allstate Insurance Company | Risk unit based policies |
| US11651438B2 (en) | 2015-01-28 | 2023-05-16 | Arity International Limited | Risk unit based policies |
| US9390452B1 (en) | 2015-01-28 | 2016-07-12 | Allstate Insurance Company | Risk unit based policies |
| WO2016122879A1 (en) * | 2015-01-28 | 2016-08-04 | Allstate Insurance Company | Risk unit based policies |
| US11948199B2 (en) | 2015-01-28 | 2024-04-02 | Arity International Limited | Interactive dashboard display |
| US9569798B2 (en) | 2015-01-28 | 2017-02-14 | Allstate Insurance Company | Risk unit based policies |
| US10817950B1 (en) | 2015-01-28 | 2020-10-27 | Arity International Limited | Usage-based policies |
| US11645721B1 (en) | 2015-01-28 | 2023-05-09 | Arity International Limited | Usage-based policies |
| US10586288B2 (en) | 2015-01-28 | 2020-03-10 | Arity International Limited | Risk unit based policies |
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