JP7426863B2 - Information processing device, control method and program for information processing device - Google Patents

Description

The present invention relates to an information processing device, a method of controlling the information processing device, and a program.

Patent Document 1 discloses a technique for increasing the operating rate of vehicles in car sharing.

JP 2018-81574 Publication

However, in Patent Document 1, no consideration is given to the usage history of the vehicle owner, and the vehicle or parking lot is not used during hours when the owner does not use the vehicle or when the owner does not use his own parking lot. The problem is that it is not being utilized.

The present invention has been made in view of the above-mentioned problems, and an object of the present invention is to provide a technique for vehicle owners to effectively utilize their own resources.

An information processing device according to the present invention that achieves the above object includes:
history information acquisition means for acquiring vehicle usage history information;
Supply and demand information acquisition means for acquiring supply and demand information of a plurality of services related to the vehicle;
Estimating means for estimating changes in the lifestyle of the owner of the vehicle;
control for determining a service to be proposed to the owner of the vehicle from among the plurality of services based on the usage history information and the supply and demand information when it is estimated by the estimation means that there has been a change in lifestyle; means and
Equipped with
The plurality of services are of the same type provided by different entities .

According to the present invention, vehicle owners can effectively utilize their own resources.

1 is a diagram for explaining a configuration example of an information processing system according to an embodiment of the present invention. 1 is a block diagram for explaining a configuration example of each device that constitutes an information processing system according to an embodiment of the present invention. FIG. 2 is a flowchart illustrating an example of a procedure of overall processing performed by an information processing apparatus according to an embodiment of the present invention. 2 is a flowchart illustrating an example of a procedure for a proposed service determination process performed by an information processing apparatus according to an embodiment of the present invention. 2 is a flowchart illustrating an example of a procedure for starting consideration calculation processing performed by an information processing device according to an embodiment of the present invention. FIG. 2 is a diagram showing an example of supply and demand information according to an embodiment of the present invention. FIG. 3 is a diagram showing an example of vehicle usage history information according to an embodiment of the present invention. FIG. 3 is a diagram illustrating an example of vehicle usage history information utilized in processing according to an embodiment of the present invention. FIG. 2 is a diagram illustrating an example of supply and demand information for services utilized in processing according to an embodiment of the present invention. FIG. 3 is a diagram showing an example of matching between supply and demand information and vehicle usage history information according to an embodiment of the present invention. FIG. 7 is a diagram illustrating an example of vehicle usage history information used in processing according to a modification of the present invention. It is a figure showing an example of supply and demand information of a service concerning a modification of the present invention.

Embodiments of the present invention will be described below with reference to the accompanying drawings. Note that each figure is only a schematic diagram for explaining the embodiment, and, for example, the dimensions of each element in the figures do not necessarily reflect the reality. In addition, the same elements in the figures are given the same reference numerals, and a description of the same content will be omitted in this specification.

(Embodiment 1)
<Configuration>
FIG. 1 is a diagram for explaining the configuration of a system according to an embodiment of the present invention. The route guidance system includes an information processing device 10, one or more vehicles 20, one or more communication devices 30, and one or more service providing devices 50, which are configured to be able to communicate via a network 40. Network 40 is, for example, the Internet and/or a local area network (LAN).

FIG. 2 is a diagram showing a configuration example of the information processing device 10, the vehicle 20, the communication device 30, and the service providing device 50.

The information processing device 10 functions as a server device and proposes appropriate vehicle-related services (car sharing services, parking lot sharing services, etc. of one or more companies) to the owner of the vehicle 20. The information processing device 10 includes a CPU 101, a storage device 102, and a communication section 103. The CPU 101 executes processing according to the embodiment by reading and executing a program stored in the storage device 102.

The storage device 102 stores various information. The storage device 102 stores programs for the CPU 101 to read and execute, and also stores information acquired from one or more vehicles 20 and communication devices 30 via the communication unit 103 and the service providing device 50 via the communication unit 103. information acquired from the . The communication unit 103 transmits and receives various information by wire or wirelessly.

The information processing device 10 acquires supply and demand information of vehicle-related services from the service providing device 50 and also acquires usage history information of the vehicle 20 from the vehicle 20 and the communication device 30. Then, by matching these, appropriate vehicle-related services are proposed to the owner of the vehicle 20. For example, the owner of the vehicle 20 proposes the use of a car sharing service in order to rent out the vehicle 20 to a third party during a time period when the vehicle 20 is not in use and earn compensation. Alternatively, a parking lot sharing service may be used to rent out the parking lot in which the vehicle 20 is parked (for example, a home parking lot) to a third party during times when the parking lot is not in use and earn compensation. suggest. Note that the service is not limited to car sharing services and parking lot sharing services, and may be other services.

The vehicle 20 is, for example, a four-wheeled vehicle, but may be another vehicle such as a two-wheeled vehicle. The vehicle 20 includes an ECU (electronic control unit) 201, a storage device 202, a communication section 203, an interior camera 204, an exterior camera 205, a microphone 206, and an on-vehicle navigation device 207.

ECU 201 includes a CPU, memory, and communication interface. The CPU performs predetermined processing based on the information (data or electrical signals) received via the communication interface, and the processing results are stored in the memory or storage device 202 or sent to other elements via the communication interface. Output.

The ECU 201 controls the drive mechanism based on the amount of operation of an acceleration operator (accelerator pedal) by the driver. Further, the ECU 201 controls the braking mechanism based on the amount of operation of a braking operator (brake pedal) by the driver. The braking mechanism is, for example, a disc brake provided on each wheel of the vehicle 20. Further, the ECU 201 controls the steering mechanism based on the amount of operation of a steering operator (steering wheel) by the driver. The steering mechanism includes power steering.

The storage device 202 stores image data captured by an in-vehicle camera 204 and an external camera 205, and audio data captured by a microphone 206. It also stores information such as departure point and destination information input via the on-vehicle navigation device 207. The communication unit 203 can communicate with the information processing device 10 via the network 40 and can transmit and receive various information by wire or wirelessly.

The in-vehicle camera 204 photographs the inside of the vehicle 20. For example, it is possible to photograph the driver's seat, passenger seat, or back seat. The exterior camera 205 photographs the surroundings of the vehicle 20. For example, the front, rear, and/or side of the vehicle 20. A surrounding view of the vehicle 20 may also be photographed. Microphone 206 collects sounds inside vehicle 20 . For example, the contents of the passenger's utterances are collected as audio data.

The in-vehicle navigation device 207 includes a display section 2071 and an operation input section 2072. The display unit 2071 is a liquid crystal display or the like, and displays various navigation information such as route information from the departure point (or current location) to the destination (or transit point), and displays vehicle-related services proposed by the information processing device 10. is received from the information processing device 10 and displayed.

The operation input unit 2072 is a physical button, a rotation mechanism, or the like, and the driver (user) can input various navigation information such as a departure point and a destination by operating the operation input unit 2072. Note that when the display section 2071 is a touch panel, the display section 2071 may also function as the operation input section 2072.

The vehicle 20 transmits various data acquired by the interior camera 204, the exterior camera 205, and the microphone 206 to the information processing device 10 at predetermined time intervals or in accordance with instructions from the owner of the vehicle 20.

The communication device 30 is, for example, a portable information terminal such as a smartphone, and is a communication device owned by the owner of the vehicle 20. The communication device 30 includes a CPU 301 , a storage device 302 , a communication section 303 , a display section 304 , and an operation input section 305 . The CPU 301 controls the operation of the communication device 30 by reading and executing a program stored in the storage device 302.

The storage device 302 stores programs for the CPU 301 to read and execute, and also stores various information input to the communication device 30 via the operation input unit 305. For example, SNS (social networking service) data of the owner of the vehicle 20 and schedule data (calendar data) are stored.

The communication unit 303 can communicate with the information processing device 10 via the network 40 and can transmit and receive various information by wire or wirelessly. The communication unit 203 transmits various information stored in the storage device 302 to the information processing device 10 and receives various information from the information processing device 10.

The display unit 304 is a liquid crystal display or the like, and receives and displays vehicle-related services proposed by the information processing device 10 from the information processing device 10, and displays various screens.

The operation input unit 305 is a physical button, a button on a touch panel, or the like, and the driver (user) operates the operation input unit 305 to input various navigation information such as departure point, destination, and stopover point, as well as information about the vehicle 20. The owner's SNS data and schedule data (calendar data) can be input. The SNS data and schedule data of the owner of the vehicle 20 stored in the communication device 30 can be transmitted to the information processing device 10. Note that when the display section 304 is a touch panel, the display section 304 may also function as the operation input section 305.

The service providing device 50 functions as a server device and provides vehicle-related services (car sharing service, parking lot sharing service, etc.) to the owner of the vehicle 20. The service providing device 50 exists for each company, for example, and includes a service providing device 50A that provides vehicle-related services of company A, a service providing device 50B that provides vehicle-related services of company B, a service providing device 50C, and a service providing device 50B that provides vehicle-related services of company B. There are one or more service providing devices 50D, such as providing device 50D, . . . , each of which is configured to be able to communicate with the information processing device 10.

A service to be proposed to the owner of the vehicle 20 is determined by the information processing device 10, and when the owner of the vehicle 20 selects to use the service (for example, registers for the service), the service is provided by the service providing device 50. You can use the services provided. For example, when there are multiple companies that provide car sharing services, the information processing device 10 provides the car sharing service of company A to the owner of the vehicle 20 based on service demand and supply information and usage history information of the vehicle 20. Suggested. The owner of the vehicle 20 can then use the service to rent out the vehicle 20 during free time, thereby obtaining compensation.

The service providing device 50 includes a CPU 501, a storage device 502, and a communication section 503. The CPU 501 executes processing according to the embodiment by reading and executing a program stored in the storage device 502.

The storage device 502 stores various information. The storage device 502 stores programs for the CPU 501 to read and execute, and also stores various information related to the services provided by the service providing device 50. The communication unit 503 transmits and receives various information by wire or wirelessly.

The service providing device 50 can provide a service to the owner of the vehicle 20 by communicating with one or more vehicles 20 and communication devices 30 via the communication unit 503. Examples of services include car sharing services, parking lot sharing services, and the like. In the car sharing service, for example, the owner of the vehicle 20 can obtain compensation by renting out the vehicle to a third party during times when the owner of the vehicle 20 is not using the vehicle. It's a service. Similarly, the parking lot sharing service, for example, rents out the parking lot where the vehicle 20 is parked (for example, the parking lot at home) to a third party during the time when the parking lot is not in use. This is a service that allows the owner of the vehicle 20 to obtain consideration.

<Overall processing>
FIG. 3 is a flowchart showing the procedure of processing performed by the information processing device 10 according to the present embodiment. This process is implemented by the CPU 101 of the information processing device 10 reading and executing a program stored in the storage device 102. Note that the following flow will be explained using a car sharing service as an example.

[Step S301]
In step S301, the CPU 101 acquires usage history information of each vehicle 20 transmitted from one or more vehicles 20 via the communication unit 103. The usage history information of the vehicle 20 is, for example, information such as usage time information 701, vehicle information 702, parking area information 703, owner information 704, and owner usage trend information 705, as shown in FIG. .

The usage time information 701 is the usage rate of the vehicle 20 by day of the week and time slot, and is information such as "the percentage of vehicles 20 being used at 12 o'clock on Saturday is 5%". The data source of the usage time information 701 is, for example, travel data of the vehicle 20. For example, the time the engine was running can be measured and used as usage time information. However, the method for calculating the utilization rate of the vehicle 20 by day of the week and time zone is not limited to this example, and can be calculated using various methods.

The vehicle information 702 includes, for example, the type of vehicle, the presence or absence of an automatic driving function, and the presence or absence of a child seat. The data source of the vehicle information 702 is the vehicle data of the vehicle 20 regarding the vehicle type and the presence or absence of an automatic driving function, and the data of the in-vehicle camera (for example, the in-vehicle camera 204) regarding the presence or absence of a child seat.

The parking area information 703 is information such as the address and area code of the parking lot of the owner of the vehicle 20. The data source for the address and area code is the vehicle travel data of the vehicle 20. For example, it is possible to specify the location of a parking lot based on the location at the time of parking, and to specify the area code that has been assigned in advance corresponding to that location.

Owner information 704 is information specific to the owner of vehicle 20. Examples include demographic data (demographic information such as age, gender, area of residence, occupation, etc.), lifestyle changes in the past month, and estimated reasons for lifestyle changes. If there has been a change in life in the past month (for example, retirement, job change, etc.) and, for example, the utilization rate of vehicle 20 or the parking lot has decreased, the owner of vehicle 20 may have a need to rent the vehicle when it is not in use. It is possible that this is occurring.

Data sources for demographic data include SNS data, calendar data, in-vehicle camera data, and in-vehicle audio data.

Data sources for data on lifestyle changes over the past month include SNS data, calendar data, and vehicle travel data. Data sources for data on estimated reasons for lifestyle changes include SNS data, calendar data, and in-car voice data. The reason for the lifestyle change can be estimated based on recognition of specific keywords such as retirement, job change, and moving in the in-car audio data collected by the microphone 206. Similarly, the reason for lifestyle changes can be estimated based on specific keywords extracted from SNS data or calendar data.

The owner's usage tendency information 705 is, for example, information on whether smoking is allowed or not and the main use. The information on whether or not smoking is allowed is information indicating whether or not smoking is allowed in the vehicle 20 when the vehicle 20 is rented out to a third party. The main use information is information indicating what kind of use the owner usually uses the vehicle 20 for. Examples of uses include shopping, pachinko, leisure, and the like.

The data source of the information on smoking permission is data from an in-vehicle camera (for example, the in-vehicle camera 204), in-vehicle audio data, and the like. It can be determined that smoking is prohibited when no smoking is seen in the image captured by the in-vehicle camera 204, or when a specific keyword such as "no smoking" is recognized as voice. The data source of information for primary use is vehicle travel data. By analyzing which facility the vehicle 20 has stopped at, the purpose can be determined.

[Step S302]
In step S302, the CPU 101 acquires supply and demand information for vehicle-related services from one or more service providing devices 50 via the communication unit 103. The service supply and demand information is supply and demand information for each time period and each type of vehicle for the service provided by the service providing device 50. The supply and demand information is, for example, information as shown in FIG. 6, including content such as usage start time, purpose/conditions, average usage time, share by company, demand score, supply score, and supply status. In FIG. 6, for example, when the usage start time is 9 o'clock and the purpose/condition is a family car (minivan), the demand score is 94, the supply score is 60, and the supply status is insufficient. In addition, the shares of companies that provide car sharing services for family cars (minivans) are Company A: 0, Company B: 80, Company C: 0, and Company D: 20, with Company B having the largest share. . The value of the demand score can be, for example, the number of reservation requests received from third parties who wish to use the vehicle. Further, the value of the supply score can be the number of vehicles that can be rented. However, the method of calculating the demand score and supply score is not limited to this example, and can be calculated using various methods.

[Step S303]
In step S303, the CPU 101 determines a service to propose to the owner of the vehicle 20 based on the usage history information of the vehicle 20 obtained in step S301 and the supply and demand information of the service related to the vehicle obtained in step S302. . Details of this step will be described later with reference to FIG. 4.

For example, consider a case where the service is a car sharing service and the owner of the vehicle 20 rents out his own vehicle. If the supply of similar types of vehicles is insufficient during a time period when the owner is not using the vehicle 20, the service provided by the service providing device 50 is used to rent out the vehicle 20 during that time period. It is suggested that At this time, multiple services may be determined, or a corresponding service may not be found.

[Step S304]
In step S304, the CPU 101 determines whether one or more services were determined in step S303. If one or more services have been determined, the process advances to step S305. On the other hand, if no service is determined, the process ends.

[Step S305]
In step S305, the CPU 101 calculates the consideration for using the service for each of the determined one or more services. For example, a predicted value of the amount of compensation that will be obtained per month by renting out a vehicle 20 or a parking lot from 9:00 to 12 noon every Saturday is calculated. Details of this step will be described later with reference to FIG.

[Step S306]
In step 306, the CPU 101 determines whether the predicted value of the consideration for at least one service is greater than or equal to a predetermined value. If this step is Yes, the process advances to step S307. On the other hand, if this step is No, the process ends.

[Step S307]
In step S307, the CPU 101 presents the predicted value of consideration to the owner of the vehicle 20 and proposes the service. The proposal method is performed by, for example, transmitting proposal information to the vehicle 20 or the communication device 30 owned by the owner, and displaying the proposal information on the vehicle 20 or the communication device 30. Note that the service may only be proposed without necessarily presenting the predicted value. This completes the series of processes shown in FIG.

<Proposed service determination process>
Next, details of the process in S303 will be explained. FIG. 4 is a flowchart showing detailed steps of the process of S303 performed by the information processing apparatus 10 according to the present embodiment.

In step S3031, the CPU 101 extracts usage history data for a time period in which the usage rate of the vehicle 20 is less than or equal to a predetermined value from the usage history information of the vehicle 20 acquired in step S301.

Here, FIG. 8(a) is a part of the example of usage history information shown in FIG. The vehicle element items include, for example, "minivan", which is information that can be determined from the vehicle type of the vehicle information 702 of the vehicle 20, and "No smoking", which can be determined from the usage tendency information of the owner of the vehicle 20. Figure 8(a) shows that the usage rate of non-smoking minivans in area code 55391245 is 5% on Saturdays from 11:00 to 13:00 and 15:00, and the usage rate at 14:00 is 40%. There is. FIG. 8(b) is a diagram when usage history data in which the usage rate of the vehicle 20 is less than or equal to a predetermined value (for example, 20%) is extracted from the usage history information of the vehicle 20 shown in FIG. 8(a). . In the example of FIG. 8(b), data is extracted that the non-smoking minivan with area code 55391245 has an occupancy rate of 5% below a predetermined value between 11:00 and 13:00 and 15:00 on Saturdays.

In step S3032, the CPU 101 extracts data for a time period in which the demand for the service exceeds the supply from the supply and demand information for the service acquired in step S302.

Here, FIG. 9(a) is a part of an example of the supply and demand information for the service shown in FIG. FIG. 9(a) shows the supply and demand status of compact cars and minivans in area code 55391245 at each usage start time on Saturday. FIG. 9(b) is a diagram when data for a time period in which the demand for a service exceeds the supply is extracted from the supply and demand information for the service shown in FIG. 9(a). Data at 14:00 is excluded from the data in FIG. 9(a). In the example of FIG. 9(b), data is extracted that the demand score for compact cars and minivans in the area code 55391245 exceeds the supply score on Saturdays from 11:00 to 13:00 and 15:00. The market share of each company is also extracted.

In step S3033, the CPU 101 matches and combines the data extracted in step S3031 and the data extracted in step S3032 based on the area code and time zone. An example of the combined data is shown in FIG. 10(a).

In step S3034, the CPU 101 extracts data that matches the element of the owner of the vehicle 20 and the purpose and conditions of the service from the combined data. An example of extracted data is shown in FIG. 10(b). In this example, data regarding compact cars is excluded and data regarding minivans is extracted. Items related to smoking cessation are not included in the service supply and demand information in this example, so they are extracted regardless of whether the item is non-smoking or smoking. However, if the supply and demand information for the service shown in FIG. 9A is classified in more detail according to non-smoking or non-smoking, only data matching the non-smoking status may be extracted.

In step S3035, the CPU 101 extracts, from the data extracted in step S3034, a data row that includes continuous data for a time period obtained by multiplying the average usage time of the service by a predetermined coefficient. The predetermined coefficient can be set arbitrarily, and may be any value between 0.7 and 1.3, for example. In this embodiment, the predetermined coefficient is 0.9. In that case, since the average usage time of each service is 3 hours, the data row containing 3 x 0.9 = 2.7 hours of continuous data, that is, the case where the service is used for 3 hours starting from 11 o'clock is extracted. Ru. 12 o'clock start, 13 o'clock start, and 15 o'clock start are not extracted because they cannot be used for 3 consecutive hours. An example of extracted data is shown in FIG. 10(c).

In step S3036, the CPU 101 extracts a company having a market share of a predetermined value or more from among the service providing companies, and determines the company as the service to be proposed to the owner of the vehicle 20. The predetermined value can be, for example, 40%. As shown in FIG. 10(d), a service that extracts company B having a share of a predetermined value (40%) or more from the data in FIG. 10(c) and proposes services of company B to the owner of the vehicle 20. Determine as. This completes the series of processes shown in FIG.

<Start of consideration calculation process>
Next, details of the process in S305 will be explained. FIG. 5 is a flowchart showing detailed steps of the process of S305 performed by the information processing apparatus 10 according to the present embodiment.

In step S3051, the CPU 101 acquires information on the registration fee, hourly usage fee, remuneration ratio, reservation probability, and recommended insurance amount for the service of the company determined in step S303. This information can be obtained from the service providing device 50.

The registration fee is a registration fee required to use the service. The hourly usage fee is a usage fee that a third party pays per hour by providing the vehicle 20 to a third party. The remuneration ratio is the ratio of the fee that goes to the owner of the vehicle 20 out of the usage fee paid by a third party. For example, 90% is paid to the owner of the vehicle 20 and 10% is paid to the service provider company, but the remuneration ratio may differ from company to company. The reservation probability is the probability that the vehicle 20 will actually be reserved by a third party when the vehicle 20 is provided at a desired time. The reservation probability can be calculated based on, for example, a demand score, a supply score, a share by company, etc. Alternatively, since past history is accumulated for each service providing device 50, the reservation probability may be calculated from the past history. The recommended insurance amount is an insurance premium that the owner of the vehicle 20 is recommended to subscribe to in advance, taking into consideration the possibility that an accident may occur due to a third party when the vehicle 20 is rented out.

In step S3052, the CPU 101 calculates a predicted value of consideration when the owner of the vehicle 20 uses the service, based on the information acquired in step S3051. For example, the predicted value of consideration when using the service for one month is calculated using the following formula (1).

Predicted value of consideration = (Usage fee per hour) x (Average usage time) x (Remuneration ratio) x (Reservation probability) x (4 weeks) - (Registration cost) - (Recommended insurance amount)... (1)
For example, if the hourly usage fee is 1,000 yen, the average usage time is 3 hours, the reward ratio is 90%, the reservation probability is 60%, the registration fee is 1,000 yen, and the recommended insurance amount is 2,000 yen, the predicted value of consideration =1000×3×0.9×0.6×4-1000-2000=3480 yen. This completes the series of processes shown in FIG.

As explained above, in this embodiment, a service to be proposed to a vehicle owner is determined from among a plurality of car sharing services based on vehicle usage history information and supply and demand information of a plurality of car sharing services. do. This allows vehicle owners to effectively utilize their own resources (vehicles). In particular, it becomes possible to earn compensation by lending one's vehicle to a third party during times when the vehicle is not in use.

Note that it is not necessary to necessarily propose a service for which the predicted value of consideration is equal to or greater than a predetermined value. That is, the determined service may be proposed to the user of the vehicle 20 as is, regardless of the predicted value of the consideration.

Furthermore, the series of processes shown in FIG. 3 may be performed when a change in the lifestyle of the owner of the vehicle 20 is estimated as the timing for proposing a service. Estimation of changes in lifestyle can be performed based on the owner information 704 shown in FIG. If the usage rate of the vehicle 20 has decreased or a keyword such as retirement has been extracted, it can be inferred that there has been a change in lifestyle.

Furthermore, although the processing of this embodiment has been explained using some of the information shown in FIGS. 6 and 7 as an example, items that are not referred to may also be considered. For example, the vehicle information 702 including the presence or absence of an automatic driving function and the presence or absence of a child seat may be used as usage history information of the vehicle 20, and the service demand and supply information may also be configured to organize data for each of these items and match the two. It's okay. Furthermore, the information is not limited to the illustrated example, and other information that can be matched between the usage history information of the vehicle 20 and the supply and demand information of the service may be included.

[Modified example]
In the above embodiment, the car sharing service was mainly explained as an example of the service provided by the service providing device 50, but the present embodiment can be applied to other services as well. For example, when using a parking lot sharing service, the owner of the vehicle 20 rents out the parking lot to a third party during the time when the parking lot is not in use, depending on the usage status of the parking lot, and receives compensation. This embodiment can also be applied to.

In that case, by analyzing vehicle travel data of the vehicle 20 as vehicle usage history information, it can be determined whether the vehicle 20 is parked in a parking lot. To determine and propose an optimal parking lot sharing service for renting out a parking lot to a third party when the parking lot is not in use. The supply and demand information for the parking lot sharing service is calculated by calculating the number of parking lots registered in the service and the number of users who want to rent a parking lot in the area with the same area code as the parking lot, respectively, into a supply score and a demand score. It can be done.

For example, FIG. 12 is an example of vehicle usage history information in the case of a parking lot sharing service. In the example of FIG. 12, for the parking lot of the owner of vehicle 20 (regular car size) in area code 55391245, the usage rate on Saturday from 11:00 to 13:00 and 15:00 is 5%, and the usage rate at 14:00 is 5%. is shown to be 40%.

FIG. 13 is an example of supply and demand information for a parking lot sharing service. In the example of FIG. 13, the supply and demand status of parking lots for regular cars and small cars in the area code 55391245 is shown in each usage start time slot on Saturday.

By collating this information and performing the same processing as in FIG. 3, it is possible to suggest the use of an appropriate parking lot sharing service.

(others)
Further, a program that implements one or more functions described in each embodiment is supplied to a system or device via a network or a storage medium, and one or more processors in a computer of the system or device read this program. can be executed. The present invention can also be realized by such an embodiment.

The invention is not limited to the above-described embodiments, and various modifications and changes can be made within the scope of the invention.

<Summary of embodiments>
The information processing device (for example, 10) according to the first aspect includes:
history information acquisition means (for example, 101) that acquires usage history information of a vehicle (for example, 20);
supply and demand information acquisition means (for example, 101) that acquires supply and demand information of a plurality of services related to the vehicle;
a control means (for example, 101) that determines a service to be proposed to the owner of the vehicle from among the plurality of services based on the usage history information and the supply and demand information;
Equipped with

This allows vehicle owners to effectively utilize their own resources (vehicles, parking lots, etc.).

In the information processing device according to the second aspect,
The control means further calculates a predicted value of consideration that will be obtained when the determined service is used, and proposes the use of the determined service when the predicted value is equal to or greater than a predetermined value.

This makes it easier for vehicle owners to use services that allow them to provide their own resources (vehicles, parking spaces, etc.) to third parties in exchange for sufficient compensation.

In the information processing device according to the third aspect,
The control means proposes the use of the determined service by transmitting information about the determined service to the vehicle of the owner or a communication device owned by the owner.

This makes it possible to easily convey information about services recommended for use to the vehicle owner.

In the information processing device according to the fourth aspect,
The control means further transmits, in addition to the information on the determined service, information on the predicted value of the consideration to the vehicle or the communication device.

This allows you to know how much compensation you can expect by using the service. Furthermore, when multiple services exist, it is possible to easily understand which service can be used to expect the greatest value.

In the information processing device according to the fifth aspect,
The service is a car sharing service that provides the vehicle to a third party while the vehicle owner is not using the vehicle.

This allows vehicle owners to effectively utilize their vehicles.

In the information processing device according to the sixth aspect,
The history information acquisition means further acquires usage history information of a parking lot used by the owner of the vehicle based on the usage history information,
The control means determines a service to be proposed to the owner of the vehicle from among the plurality of services based on the usage history information of the parking lot and the supply and demand information,
The service is a parking lot sharing service that provides the parking lot to a third party while the owner of the vehicle is not using the parking lot.

This allows the vehicle owner to effectively utilize his or her own parking lot.

In the information processing device according to the seventh aspect,
Further comprising estimation means (for example 10) for estimating changes in the lifestyle of the owner of the vehicle,
The control means determines the proposed service when it is estimated by the estimating means that there is a change in lifestyle.

This makes it possible to make an appropriate proposal when there is a possibility that the vehicle owner will need to use the service.

A method for controlling an information processing device (for example, 20) according to the eighth aspect includes:
a history information acquisition step (for example, S301) of acquiring vehicle usage history information;
a supply and demand information acquisition step (for example, S302) of acquiring supply and demand information of a plurality of services related to the vehicle;
a control step (for example, S303) of determining a service to be proposed to the owner of the vehicle from among the plurality of services based on the usage history information and the supply and demand information;
has.

This allows vehicle owners to effectively utilize their own resources (vehicles, parking lots, etc.).

The program according to the ninth aspect includes:
This is a program for causing a computer to execute each step of the control method according to the eighth aspect.

Thereby, the processing of the control method can be realized by a computer.

10: Information processing device, 20: Vehicle, 30: Communication device, 40: Network, 50: Service providing device, 101: CPU, 102: Storage device, 103: Communication unit, 201: ECU, 202: Storage device, 203: Communication department, 204: Company vehicle camera, 205: Vehicle exterior camera, 206: Microphone, 207: Navigation device, 301: CPU, 302: Storage device, 303: Communication department, 304: Display section 304, Operation input section 305, 501: CPU, 502: Storage device, 503: Communication department

Claims (8)

history information acquisition means for acquiring vehicle usage history information;
Supply and demand information acquisition means for acquiring supply and demand information of a plurality of services related to the vehicle;
Estimating means for estimating changes in the lifestyle of the owner of the vehicle;
control for determining a service to be proposed to the owner of the vehicle from among the plurality of services based on the usage history information and the supply and demand information when it is estimated by the estimation means that there has been a change in lifestyle; means and
Equipped with
The information processing apparatus is characterized in that the plurality of services are a plurality of services of the same type provided by different entities . The control means further calculates a predicted value of consideration that will be obtained when the determined service is used, and when the predicted value is equal to or higher than a predetermined value, proposes the use of the determined service. The information processing device according to claim 1. The control means proposes the use of the determined service by transmitting information about the determined service to the vehicle of the owner or a communication device owned by the owner. The information processing device according to claim 2. Information according to claim 3, characterized in that the control means further transmits information on the predicted value of the consideration to the vehicle or the communication device in addition to the information on the determined service. Processing equipment. Any one of claims 1 to 4, wherein the plurality of services of the same type are car sharing services in which the vehicle is provided to a third party while the owner of the vehicle is not using the vehicle. The information processing device according to item 1. The history information acquisition means further acquires usage history information of a parking lot used by the owner of the vehicle based on the usage history information,
The control means determines a service to be proposed to the owner of the vehicle from among the plurality of services based on the usage history information of the parking lot and the supply and demand information,
The plurality of services of the same type are parking lot sharing services that provide the parking lot to a third party while the owner of the vehicle is not using the parking lot. 4. The information processing device according to any one of 4. A method for controlling an information processing device, the method comprising:
a step in which the history information acquisition means of the information processing device acquires vehicle usage history information;
a step in which the supply and demand information acquisition means of the information processing device acquires supply and demand information of a plurality of services related to the vehicle;
a step in which the estimation means of the information processing device estimates changes in the lifestyle of the owner of the vehicle;
When it is estimated that there has been a change in lifestyle through the estimating step, the control means of the information processing device selects a service for the vehicle from among the plurality of services based on the usage history information and the supply and demand information. a control process that determines the services to be proposed to the owner;
has
A method for controlling an information processing apparatus , wherein the plurality of services are a plurality of services of the same type provided by different entities . A program for causing a computer to execute each step of the control method according to claim 7 .

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