JP2019514112A - Transportation promotion system that configures commercial vehicles for users - Google Patents

Abstract

A transportation promotion system, which is a system managed by the transportation promotion system and capable of receiving a dispatch request including a unique identifier and a boarding location from a user device executing a designated application for transportation arrangement service. The transportation promotion system searches the database for the comfort profile indicating the vehicle setting preference item of the user of the user device using the unique identifier, and selects the business vehicle that provides the service related to the dispatch request based on the boarding location can do. Based on the vehicle setting preference items indicated in the comfort profile, the transportation promotion system is a series of configuration instructions for the selected business vehicle, before the selected business vehicle arrives at the boarding place. Configuration instructions can be sent to configure several adjustable components of the selected business vehicle.

Description

Cross-reference to related technologies

  This application is related to US patent application Ser. No. 15/089, entitled “TRANSPORT FACILITATION SYSTEM FOR CONFIGURATION A SERVICE VEHICLE FOR A USER”, filed on April 1, 2016, the entire contents of which are incorporated herein by reference. No. 15 / 089,408, entitled "UTILIZING ACCELEROMETER DATA TO CONFIGURE AN AUTONOMOUS VEHICLE FOR A USER", filed Apr. 1, 2016, and "OPTIMIZING, filed Apr. 1, 2016". U.S. Patent Application No. 15 / 089,416 entitled "TIMING FOR CONFIGURING AN AUTONOMOUS VEHICLE" Which claims the right.

  The present application relates to a transportation promotion system in which a commercial vehicle is configured for a user.

  In the case of a personal vehicle, the driver can permanently set the components of the vehicle according to his / her preference. For example, the driver can adjust the seat and mirror, set the preferred radio station, set the preferred temperature, adjust the steering wheel setting, etc. In the case of frequently used vehicles (e.g., rental cars or shared vehicles), drivers and passengers need to adjust various components of the vehicle each time they are used.

  1 is a disclosure of a transportation promotion system in which a requesting user can configure an autonomous vehicle (AV) for the user before getting on the vehicle. In certain embodiments, a transportation promotion system can provide an application-based transportation arrangement service that can arrange for transportation of a requesting user across a given area. In many embodiments described herein, the transportation promotion system receives a dispatch request from the user in a given area, selects the nearest AV of the requesting user, and provides a service related to the dispatch request. can do. In general, the transport facilitation system may select various internal components (e.g., seat position, individual seat adjustments, seat temperature, air temperature, radio settings, windows, mirrors, etc.) based on the preferences or requirements of the requesting user. , Configure lighting, etc.) and send configuration commands.

  In some embodiments, an interface can be generated on the requesting user's mobile computing device, which allows the user to set AV preference parameters prior to boarding. For example, a user interface can be generated to a designated application for a transportation arrangement service, managed by a transportation promotion system. In particular aspects, the requesting user can configure a comfort profile indicating the preferred settings of the AV, and the comfort profile can be stored on a transportation promotion system or stored locally on the mobile computing device .

  Additionally or alternatively, upon receiving a dispatch request from the requesting user, the back-end transportation promotion system selects the nearest AV to provide the service regarding the dispatch request, determines the configurable parameters of the AV, and selects Based on the configurable parameters of the AV, causing the user interface of the requesting user's mobile computing device to generate a preference menu that allows the user to select and configure various configurable parameters of the AV before boarding. be able to. The adjustable parameters may include seat position, seat temperature, air temperature, seat configuration, home page display on the display screen, language selection, preferred radio stations, room lighting (eg, color, brightness), etc. Additionally or alternatively, the backend transportation promotion system is assigned and configured for the requesting user's mobile computing device for that user (e.g. including preferred seat adjustments, temperature, audio selection) , Can be sent a notification indicating the specific seat of the AV. Such notification is useful for AV rides that allow the transport facilitation system to route specific AVs to multiple rides and alights, as well as to configure individual seat and user preferences for the AVs. obtain.

  Additionally or alternatively, the accelerometer data from the user's mobile computing device at the time of transmitting the dispatch request may be analyzed to determine the user's height, weight, shape, and / or gait. The user can adjust the seat for sitting and moving by AV. In some aspects, the mobile computing device transmits raw accelerometer data and position data to the transportation facilitation system to analyze directional acceleration peaks to determine user stride or gait pattern signatures. Can. Based on these data, the transport facilitation system determines the rough user's height and / or weight, and the finer user femur length, leg length (and estimated torso length) and / or Or determine the estimated posture, for example, backrest angle of the user's seat, thigh length (eg, cushion edge adjustment), front and back position, headrest angle, headrest height, waist position, seat depth, seat The height, upper seat tilt angle, and shoulder support elements can be adjusted.

  In addition, an AV is also disclosed that optimizes the timing of configuring preference settings on the way to the meeting place with the requesting user. The AV receives a configuration set of internal systems based on the user's preferences, and configures each internal system as the AV is configured for the requesting user when the AV arrives at the boarding location, the optimal timing The schedule can be determined. For certain systems, such as the seat configuration system and the seat adjustment system, the AV can execute the user's preferences just prior to boarding (e.g., 15 to 20 seconds before arriving at the boarding place). For other systems, such as seat temperature and air conditioning systems, the AV determines the time required to obtain the desired temperature and obtains the desired temperature just prior to arrival at the boarding location to optimize power consumption. As such, the air conditioning system and / or the seat temperature system can be started to provide optimum operation. In a variant, the transport facilitating system can implement some or all of the timing characteristics to optimize the timing of configuring the AV. Thus, the transport promotion system can determine the optimal timing schedule and send it to the AV for execution before boarding.

  In some aspects, the transportation promotion system may store a preference log or comfort profile in the database indicating configuration preferences of users of the transportation arrangement system, corresponding to adjustable internal components of the AV. The transportation promotion system can receive a dispatch request from a computing device that executes a specified application of the transportation arrangement system. The dispatch request may include a unique identifier of the computing device's request user, and the boarding location. The transportation promotion system can search the database using the unique identifier to obtain a comfort profile indicating the setting preference items of the user. The transportation promotion system can select an AV that provides a service related to a dispatch request based on the boarding place. Then, based on the user's setting preference items, the transportation promotion system sends a series of configuration commands to adjust the AV adjustable components for the user before the AV meets the requesting user at the meeting place. It can be set. Therefore, before getting on board, the internal system of the AV can be pre-configured.

  In addition, the transportation promotion system provides services related to dispatch requests of individual users over time, and supports the users to configure an internal system (eg, seat position, radio station selection, browsing data, etc.) Configuration data can be received. The transportation promotion system can identify preference patterns of configuration data and store and update preference data of each user in a database based on the preference patterns. In some embodiments, user preference data may be updated based on feedback from the user. For example, the transportation promotion system may receive feedback indicating an evaluation of the AV ride experience. In some embodiments, if the rating is below a certain threshold (e.g., 2 out of 5 stars), the transport facilitating system is started and the AV data for the movement is analyzed to determine the potential cause of the low rating. It can be identified. The AV data includes control system inputs and sensor data corresponding to acceleration, braking, and maneuvering of the moving AV, and / or data indicating the operating mode (eg, normal mode or high attention mode) of the moving AV. be able to. The transportation promotion system can identify, in the AV data, an abnormal situation that indicates a potential cause of the evaluation falling below a predetermined threshold. For example, the transport facilitation system may identify abnormal braking, abnormal acceleration, abnormal maneuvering, excessive attention, under-attention, high-speed driving, and / or excessive low-speed driving by AV. The transportation promotion system can identify a specific pattern over time, and can know the user's preference items based on the evaluation information, update the user's preference items, and make an abnormal ride event in the future. Can be reduced. For example, using the assessment data, the transportation promotion system can know that the user prefers convenient driving rather than more cautious driving.

  The embodiments described herein achieve, among other things, the technical effect of providing comfort to users of the transportation arrangement service by proactively configuring the internal system of the autonomous vehicle (AV) before boarding. ing. Such pre-fetching may be performed based on pre-ride user input, analysis of acceleration data from the user's mobile device, and / or comfort or preference profiles stored by machine learning techniques over time.

  As used herein, a computing device is a desktop computer, a mobile phone or smart phone, a personal digital assistant (PDA), a laptop computer, capable of providing processing resources to communicate with the system via a network connection and network A device corresponding to a tablet device, a television (IP television) or the like is meant. The computing device may also correspond to custom hardware, an on-board device or an on-board computer, etc. The computing device may also operate a designated application configured to communicate with the network service.

  One or more embodiments described herein describe that the methods, techniques, and actions performed by a computing device are performed as a programmatic or computer implemented method. As used herein, programmatic means through the use of code or computer executable instructions. These instructions may be stored on one or more memory resources of the computing device. The steps performed programmatically may or may not be automatic.

  One or more embodiments described herein can be implemented using program modules, engines, or components. Program modules, engines, or components can include programs, subroutines, portions of programs, software components, or hardware components that can perform one or more designated tasks or functions. As used herein, a module or component can be present in a hardware component independently of other modules or components. Alternatively, the module or component may be an element or process shared with another module, program, or machine.

  Some embodiments described herein may need to use computing devices, which generally include processing and memory resources. For example, one or more of the embodiments described herein may, in whole or in part, be servers, desktop computers, cell phones or smartphones, personal digital assistants (PDAs), laptop computers, printers, digital image frames, networks It can be implemented in computing devices, such as devices (eg, routers) and tablet devices. Memory, processing, and network resources may all be used in connection with establishing, using, or performing any of the embodiments described herein (including performing any method or implementing any system). it can.

  Additionally, one or more embodiments described herein can be implemented using instructions executable by one or more processors. These instructions may be carried on a computer readable medium. The machines shown or described in the following figures illustrate examples of computer readable media capable of carrying and / or executing processing resources and instructions for carrying out the embodiments described herein. In particular, many machines shown in embodiments of the present invention include a processor and various forms of memory for holding data and instructions. Examples of computer readable media include persistent storage, such as a personal computer or server hard drive. Other examples of computer storage media include portable storage devices such as CD or DVD devices, flash memory (mounted on many smartphones, multifunction devices, or tablets), and magnetic memory. 1 is an example of a machine and device in which a computer, terminal, network-enabled device (e.g., a mobile device such as a mobile phone) utilizes instructions stored in a processor, memory and computer readable medium. In addition, the embodiments can be implemented in the form of a computer program, or a computer-usable carrier medium capable of carrying such a program.

  The present description describes a number of embodiments in the context of an autonomous vehicle (AV). AV means any vehicle that operates in an automatic manner with respect to steering and propulsion. There may be different levels of autonomy for AV. For example, some vehicles have automatic functions enabled under limited circumstances, such as highways, provided the driver is in the vehicle. More advanced AV can be driven without human assistance from inside or outside the vehicle. Such vehicles often require a high degree of determination as to how the vehicle behaves under the challenging ambient conditions of the vehicle environment.

The disclosure of the present specification is illustrated by way of example, and not limitation, in the accompanying drawings in which like elements are referred to by like reference numerals.
FIG. 2 is a block diagram illustrating an example transportation facilitating system as described herein in communication with a user device and a fleet of AVs. FIG. 6 is a block diagram illustrating an example AV implementing the control system described herein. FIG. 2 is a block diagram illustrating an example mobile computing device that implements a designated application for a transportation arrangement service described herein. FIG. 7 is a flow chart describing an exemplary method of configuring an AV for a user utilizing a comfort profile according to the embodiments described herein. FIG. 7 is a flow chart describing an exemplary method of configuring an AV for a user utilizing a comfort profile according to the embodiments described herein. FIG. 7 is a flow chart describing a further method of configuring an AV for one or more users according to an embodiment described herein. FIG. 7 is a flow chart describing a further method of configuring an AV for one or more users according to an embodiment described herein. FIG. 6 is a flow chart describing an exemplary method of optimizing timing of configuring an AV for one or more users according to an embodiment described herein. FIG. 14 is a block diagram of a computer system that can implement the embodiments described herein. FIG. 1 is a block diagram illustrating a mobile computing device that can implement the embodiments described herein. FIG. 1 is a block diagram illustrating an AV computing system that can implement the embodiments described herein.

System Description FIG. 1 is a block diagram illustrating an exemplary transportation facilitating system in communication with a user device and owned AV or service vehicle fleet described herein. The transportation promotion system 100 can comprise a communication interface 115 for communicating with the user device 195 and the fleet of autonomous vehicles 190 via several networks 180. In addition or in the alternative, the transportation facilitating system 100 can communicate with a human driver driving a commercial vehicle to facilitate transportation in accordance with the transportation arrangement service managed by the transportation facilitating system 100. In many embodiments, the transportation promotion system 100 provides a transportation arrangement service that links the request user with the owned business vehicles and / or the AVs in the AV group 190 managed by the transportation promotion system 100. it can. The designated application 185 corresponding to the transportation arrangement service can be executed in the user device 195. The requesting user can input to the user device 195 and send a dispatch request 197 to the transportation promotion system 100. The dispatch request 197 may be sent to the selection engine 135, which may be received by the communication interface 115 and may cause the requesting user to correspond to the nearest AV of the fleet of vehicles.

  In one or more embodiments, the dispatch request 197 may include a ride location where the selected AV 109 can meet the requesting user. The vehicle position information 192 can be transmitted to the vehicle interface 105 of the transportation promotion system 100 by dispersing the owned AV group 190 in a given area (for example, a city or a metropolitan area). The vehicle interface 105 sends the vehicle position information 192 to the selection engine 135 so that the selection engine 135 can determine a candidate vehicle that can easily provide service for the dispatch request 197. In some embodiments, the dispatch request 197 may include a unique identifier 136 of the requesting user utilized by the configuration engine 140 to initially determine whether the requesting user has a preference for the vehicle type. For example, configuration engine 140 may perform a search 142 on passenger preference log 132 of database 130 of transportation facilitation system 100 using a unique identifier 136 of the requesting user. Among the number described in the specification, the requesting user's corresponding passenger preference log 132 is a particularly preferred vehicle type (e.g. sports multipurpose vehicles, vans, sports vehicles, station wagons, medium size, large or small vehicles, luxury vehicles etc.) Can be included. Additionally or alternatively, configuration engine 140 may send a prompt to the requesting user via specification application 185 to ask whether the requesting user prefers a particular vehicle type.

  The selection engine 135 meets the criteria based on the location of the vehicle, the location of the nearest AV in the fleet of vehicles 190, or the location of another nearest business vehicle driven by a human and optionally the type of vehicle For example, AV 109) can be selected. In particular aspects, selection engine 135 further utilizes mapping engine 175 to map data 179 (eg, distance to boarding location) and / or traffic data 177 (eg, time required to reach boarding location) The optimal vehicle (eg, AV 109) can be determined based on After selecting the AV 109 as the optimal vehicle, the selection engine 135 can send the AV 109 an invitation 182 to service the dispatch request 197. In some embodiments, the AV 109 may agree or decline the invitation depending on several factors (eg, fuel or energy balance, service indicator, owner requirements, etc.). In a particular embodiment, when the AV agrees to the invitation 182, the transportation promotion system 100 uses the map data 179 and the traffic data 177 to provide the AV 109 with route information indicating the shortest or optimal route to the boarding location. be able to. Alternatively, the AV 109 can comprise local mapping resources to independently identify the optimal route.

  According to some embodiments described herein, the transportation facilitating system 100 receives accelerometer data 181 and position data (e.g., GPS data 183) from the user device 195 to estimate the height of the requesting user. , Etc., may be provided with a data analyzer 150 capable of determining user attributes 153. In various embodiments, data analyzer 150 further processes accelerometer data 181 and GPS data 183 to provide other general attributes 153 of the requesting user, such as weight and shape (eg, lean, normal, large). It can be estimated. In yet another embodiment, data analyzer 150 further processes accelerometer data 181 and GPS data 183 to further refine attributes 153 such as femoral length, leg length, posture information, torso length, etc. Can be estimated or determined.

  For example, upon receiving a dispatch request 197 from a particular user device, the transportation facilitating system 100 (eg, via the designated application 185) includes accelerometer data 181 and GPS data 183 from the accelerometer and GPS module of the user device 195. You can access to In a particular aspect, the accelerometer can be housed in an inertial measurement unit and provide an accelerometer data stream 181, which can be processed by data analyzer 150 to determine or estimate user attributes 153. . Thus, when the requesting user places the device 195 in the pocket or starts gripping the device 195, the accelerometer data 181 corresponds to the stride trace, the walking trace, and / or the rocking trace and each stride Directional acceleration peaks can be included. The nature, timing, magnitude, and direction of the acceleration peak, as well as the distance traveled (e.g., the distance the user walked) can be analyzed by data analyzer 150 to determine the attribute 153 of the requesting user, which is It can be sent to configuration engine 140. Based on the determined attribute 153 of the requesting user, the configuration engine 140 sets the vehicle configuration for configuring the selected AV 109 passenger seat so that the most comfortable setting is provided when the requesting user gets on the AV 109 188 can be determined.

  In determining configuration set 188, configuration engine 140 may perform machine learning based on accelerometer data 181 from user device 195 and user attributes 153 as determined by GPS data 183. In particular aspects, configuration engine 140 may access other similar comfort profiles 137 using user attributes 153. For example, configuration engine 140 may perform a search 142 against database 130 using the determining height, weight, shape, leg length, etc. of the requesting user to obtain corresponding comfort profiles 137 for users having similar attributes. It can be identified. The configuration engine 140 can utilize the corresponding comfort profile 137 as a basis for generating the configuration set 188 of the requesting user. In one embodiment, configuration engine 140 ranks a series of corresponding comfort profiles 137 based on the similarity of the user attributes, and uses the top groups (eg, top 5 or 10) to configure set 188 Can be generated. Additionally or alternatively, configuration engine 140 calculates and uses the average value of the configuration settings (e.g., seat adjustment and position settings) of the corresponding comfort profile 137, and based on the calculated average value, the requesting user's Configuration set 188 can be generated.

  In an embodiment, configuration engine 140 generates vehicle configuration set 188 to configure user attributes 153 determined by accelerometer data 181 from requesting user device 195 into configurable parameters of the seat of an AV or commercial vehicle. Can be associated with For example, configuration engine 140 may associate the height determined by the requesting user or estimated with the front and back positions of the seat. The configuration engine 140 may further associate the user's determined or estimated weight or body shape with the backrest angle, seat depth, and / or seat height. The configuration engine 140 can further associate the leg length determined or estimated by the requesting user with the setting of the thigh length of the seat or the edge adjustment of the cushion to minimize the load on the knee and the waist. A further correlation of the requesting user's determination or estimated attributes 153 with the adjustable parameters of the seat is also contemplated. For example, configuration engine 140 can generate a command to adjust cushion softness, lumbar support element, shoulder support element, headrest angle, etc. using posture information shown in traces of accelerometer data 181 .

  Vehicle configuration set 188 may be transmitted to selected AVs 109 through network 180 via vehicle interface 105. For example, the selection engine 135 may select the AV 109 to provide service to the dispatch request 197 from the requesting user and send the invitation 182 to the AV 109 via the vehicle interface 105. Data analyzer 150 may process accelerometer data 181 and GPS data 183 from requesting user's device 195 to determine user attributes 153. The configuration engine 140 can associate the user attribute 153 with the seat adjustment parameters of the AV 109. In particular embodiments, the transportation facilitating system 100 may store an AV parameter log 134 in the database 130, which indicates all adjustable parameters (eg, adjustable seat parameters) of the AVs of the fleet group 190. . The configuration engine 140 performs a search 142 for adjustable seat parameters of the AV 109 and includes a seat adjustment that associates user attributes 153 with various adjustments for the seat of the AV 109 to maximize user comfort. Thus, the AV configuration set 188 can be transmitted to the AV 109 via the vehicle interface 105 while the AV configuration set 188 is generated and the AV 109 is going to pick up the requesting user.

  In particular embodiments, selection engine 135 may further assign a specific seat of AV 109 to the requesting user. In such embodiments, configuration engine 140 may further indicate to vehicle configuration set 188 the particular seat (e.g., the right front) assigned to the requesting user. After the AV 109 receives the vehicle configuration set 188, the AV 109 may perform the configuration for the particular seat assigned to the requesting user before arriving at the boarding location. In addition, the selection engine 135 can generate an acknowledgment 199 and send it to the requesting user's device 195. In particular aspects, the confirmation notice 199 indicates various attributes of the AV 109 (or another vehicle selected to provide service for the user's dispatch request 197), eg, model, color, year, license plate number Etc. can be shown. The confirmation notification 199 may be generated on the user interface of the designated application 185 of the user device 195 and may further include data indicating the seat assigned to the requesting user. In certain aspects, the requesting user can agree or decline the acknowledgment 199 and if rejected, the selection engine 135 can look for an alternative vehicle and the configuration engine 140 can substitute accordingly. A new vehicle configuration set 188 of vehicles can be generated. Thus, when the selected AV 109 meets the requesting user at the promised location, it presents the requesting user with information indicative of a seat configured based on the accelerometer data 181 and the GPS data 183 from the user's own device 195 The seat can be pre-configured for the user to optimize comfort.

  Additionally or alternatively, the specification application 185 of the user device 195 may set the air conditioning setting, the seat temperature setting, the radio station setting, the preference seat of the selected AV 109 (for example, in the case of car or van sharing), lighting Settings, Home display settings for internal display, Moon roof or sun roof settings (for example, open or closed), window settings, ride control settings (for example, sport mode or cautious mode autonomous operation), rough seat adjustment settings (for example, upright position Or, a preference menu 186 can be generated, where preferences can be entered, such as a relaxed position). In some embodiments, a preference menu may be generated on the display screen of the user device 195 in response to the transmission of the dispatch request 197.

  In an alternative embodiment, preferences menu 186 can be customized based on configurable parameters of the AV selected by AV selection engine 135. Thus, when the AV 109 providing service to the dispatch request 197 is selected, the configuration engine 140 accesses the AV parameter log 134 of the AV 109 to configure its configurable parameters (e.g. Whether or not there is a seat configuration etc.) can be determined, and the transport promotion system 100 can generate a preference menu 186 for the requesting user based on the configurable parameters of the AV 109. The user interacts with preference menu 186 to send selection items 191 back to transportation facilitation system 100, and configuration engine 140 generates vehicle configuration set 188 based on the selected items on preference menu 186, The vehicle configuration set 188 can be sent to the AV 109 as described herein.

  As will be further described, the vehicle configuration set 188 is for configuring some of the adjustable components of the selected business vehicle for the user before the selected business vehicle arrives at the boarding location. It can contain a series of configuration instructions. Thus, the business vehicle can automatically adjust one or more components based on vehicle configuration preferences while traveling to the boarding location. Additionally or alternatively, the transportation facilitating system 100 operates the commercial vehicle against the commercial vehicle (e.g., AV 109) to operate at least one vehicle setting preference item according to the comfort profile 137 or the configuration set 188. It may further convey an instruction to extend or delay the route that the vehicle reaches the boarding place.

  Additionally or alternatively, a preference menu 186 can be generated at all times in the designated application 185 to allow the user to typically select the particular preferences described herein. Preference choices 191 (e.g., seat location information, temperature settings, etc.) can be sent to the log manager 125 of the transportation facilitating system 100, and the log manager 125 can generate a preference profile for the user's comfort profile 137 based on the selection 191. Preference log updates 128 can be generated. As described herein, the database 130 can store comfort profiles indicating the general preferences of users of the transportation arrangement service, and the AVs that the selected AV 109 performs on the way to the boarding location Configuration engine 140 can be accessed to generate at least a portion of configuration set 188. In some embodiments, the transportation facilitating system 100 communicates to the user that one or more mechanisms are not available on the business vehicle (eg, AV 109) selected to implement the user's comfort profile 137. can do.

  Thus, the transportation promotion system 100 can manage the passenger preference log 132 corresponding to the user of the transportation arrangement service. Each of the passenger preference logs 132 may include a particular user preference or comfort profile 137 and may be classified by the transportation promotion system 100 using a unique identifier 136 associated with the user device 195. Upon receipt of the specific dispatch request 197, the configuration engine 140 uses the unique identifier 136 of the user device 195 included in the dispatch request 197 to identify the comfort profile 137 in the corresponding passenger preference log 132. can do. In addition, the transportation facilitating system 100 can, over time, identify a set of preferences for a particular user (eg, via machine learning techniques).

  In one embodiment, the selected AV 109 (or another selected business vehicle such as a car or van driven by a human) after the requesting user rides on the selected AV 109 from the fleet of vehicles 190 is: The AV data 196 can be sent back to the transportation promotion system 100. Among the various data items, the AV data 196 may include, among other things, configuration or adjustment data 163 indicating user adjustments to internal components (eg, radio, seat position, configuration and adjustment, temperature control, etc.) . Log manager 125 may analyze AV data 196 and record reconciliation data 163 in the passenger preference log 132 for the user. The adjustment data 163 included in the AV data 196 received from the AV selected to provide the service related to the user's allocation request may indicate the specific learned user's preference of the user over time become able to. In certain embodiments, the transportation facilitating system 100 includes a pattern recognition engine 160 that can analyze the adjustment data 163 over a period of time (or n rides) to identify distinct preferences in the adjustment data 163. be able to. When the pattern recognition engine 160 identifies a specific preference pattern in the adjustment data 163, the pattern recognition engine 160 may generate the comfort profile update 169 for the comfort profile 137 of the user to include the learned preference item. it can.

  For example, for n rides (e.g., 15, 20, or 50 rides), the adjustment data 163 obtained by the commercial AV usually means that the user selects a particular radio station and identifies the air conditioning system. The temperature range may be adjusted, a particular set of seat adjustments may be preferred, and / or a particular set of software applications may be accessed, or a particular series of web pages may be viewed. The individually selected or adjusted items can be recorded by the log manager 125 as preference log updates 128. Over time, pattern recognition engine 160 may be able to identify patterns and score particular preferences with scoring techniques. When a particular preference reaches a particular threshold (eg, cross certainty probability threshold or score), the pattern recognition engine 160 edits the comfort profile 137 by generating a profile update 169 that reflects the determined preference. be able to. Thereafter, when the user makes a dispatch request, configuration engine 140 may generate AV configuration set 188 and include the preference items determined by pattern recognition engine 160 in profile update 169. The learned preferences may be specific seating arrangements, temperature settings, radio station settings, and / or other adjustments, configurations, or other settings described herein.

  In addition, the user application 195 designated application 185 allows the user to return feedback 193 about the ride after each AV ride. In particular embodiments, feedback 193 may include a simple rating system (e.g., a 1-5 star rating) that can be used by the user to assess the ride experience. Pattern recognition engine 160 may receive feedback 193 from user device 195 to attempt to correlate the user's particular ride experience with particular events or ride characteristics on the ride itself. As described above, the transportation promotion system 100 can receive the AV data 196 from the business vehicle providing the service related to the dispatch request. In addition to including adjustment data 163, the AV data 196 can indicate potential correlations with specific assessments, various control commands and sensor data (eg, accelerometer data, image data, control system modes, etc.) Can be shown.

  For example, the AVs of owned fleet 190 can operate in a particular mode within legal and safety constraints. In some embodiments, the pattern recognition engine 160 can correlate cautious travel (e.g., over several rides) to a high score for nervous passengers. In some embodiments, when the correlation reaches a predetermined threshold (e.g., 75% accuracy), the pattern recognition engine 160 generates a profile update 169 for the nervous passenger comfort profile 137 to allow the nervous passenger to When providing a service for a request, it can be shown that it is essential for the selected AV to travel only according to certain riding characteristics, such as high alert mode. Thus, when a nervous passenger makes a dispatch request 197 and the AV 109 serving the request 197 is selected by the selection engine 135, the configuration engine 140 searches the search profile 142 for the nervous passenger comfort profile 137. In operation, vehicle configuration preferences may be identified, such as a nervous passenger's AV configuration preferences 133. As described herein, the AV setting preferences 133 may also be entered directly into the preferences menu 186 by nervous passengers before or after making the dispatch request 197. In addition, the nervous passenger comfort profile 137 may indicate other configuration preferences such as radio settings, seat configuration settings, temperature settings, and learned preferences that the nervous passenger prefers a discreet AV ride it can. Configuration engine 140 operates in high alert mode (e.g., operates at a slower speed, provides smooth braking, acceleration, and maneuvering) as it sends the AV 109 nervous passengers from the boarding location to the destination. Vehicle configuration set 188 can be generated and transmitted, including instructions.

  More generally, AV data 196 (or other commercial vehicle data) from a selected AV that provides transportation to a particular user is feedback 193 from that particular user (eg, user experience rating) And may be analyzed by the pattern recognition engine 160. The feedback 193 is not limited to evaluation data alone, but may include voluntary comments and / or survey data. In some embodiments, if an evaluation (2 of 5 stars) below a certain threshold is presented by the user, starting pattern recognition engine 160 to analyze the AV data of that particular movement it can. Pattern recognition engine 160 may analyze AV data 196 for abnormal events, situations, and / or boarding characteristics that are potential causes or contributors to low ratings.

  For example, the pattern recognition engine 160 can identify accelerometer data of the AV data 196 indicating multiple sudden braking. As another example, the pattern recognition engine 160 may further determine a time-to-distance delta between getting on and off which can indicate whether the AV is traveling too fast or too slow when transporting the user. Can. For n rides, the pattern recognition engine 160 may identify one or more causes for the low ratings indicated by the user by analyzing the AV data 196 for each run. As described herein, the pattern recognition engine 160 may edit the comfort profile 137 of the user when the potential cause reaches a certain threshold (e.g., a 75% probability of causing a low rating). The profile update 169 can be generated to reduce or alleviate the cause in future driving. Such potential causes may be abnormal deceleration, deviation and / or acceleration (e.g. measured above a certain gravity threshold), excessively cautious operation or excessively aggressive operation (e.g. normal mode, cautious Mode, operation between high prudent modes etc) can be included. Therefore, the comfort profile 137 of the user prevents selection AV items, etc., which optimizes the travel time of the selected AV by preventing the AV 109 selected for the user from operating in the high caution mode It can also contain items.

  Along these lines, the pattern recognition engine 160 may analyze the adjustment data 163 over time (or over the user's n rides) to identify ranges or boundaries of parameters of particular components it can. For example, the user never adjusts the internal air temperature to above 70 degrees (about 21.1 degrees Celsius) or never adjusts the seat longitudinal parameters beyond a specific forward position There is a possibility. The pattern recognition engine 160 may accumulate such adjustment data 163 in the user's preference log 132 and calculate the probability that the user does not exceed these decision ranges or boundaries (e.g., on each subsequent move) . When the calculated probability reaches a certain threshold (certain probability of 90%), the pattern recognition engine 160 can modify the user's comfort profile 137 with a profile update 169 indicating a set range or boundary. Thus, in a subsequent ride, the configuration engine 140 refers to the setting range or boundary of the user's comfort profile 137 to see if any of the AV 109 adjustable parameters selected are outside such range or boundary. It can be determined. If so, the configuration engine 140 generates an AV configuration set 188 including adjustment commands, and their parameters such that the selected AV 109 falls within the range or boundary indicated in the user's comfort profile 137. Can be adjusted.

  Therefore, the user of the transportation arrangement service managed by the transportation promotion system 100 inputs the initial preference item 191 via the preference menu 186 of the designated application 185 before using the service or after transmitting each dispatch request 197. can do. Additionally or alternatively, the data analyzer 150 of the transport facilitating system 100 may use the user's height, weight, body type, leg length, femurs based on the accelerometer data 181 and the GPS data 183 from the user device 195. User attributes 153 such as length, attitude, etc. can be automatically determined or estimated. Configuration engine 140 may generate a configuration set 188 including seat adjustment commands based on these estimated attributes. Additionally or alternatively, the user may also return feedback 193 or make corrections during the AV ride, thereby editing or modifying the user's comfort profile 137 accordingly. It is possible to start pattern recognition. The configuration engine 140 generates a configuration set 188 based on the user's comfort profile 137 and transmits it to the selected AV (or a selected human-operated business vehicle) and responds accordingly prior to the user getting on the vehicle. Internal components can be set. In particular embodiments, configuration engine 140 may further verify the selected AV 109 or the particular seat to be adjusted for the user in the commercial vehicle, and selection engine 135 may provide a confirmation notification 199 indicating an assigned seat. Can be sent to the user device 195. In one embodiment, the transportation facilitating system 100 can assign seats within the business vehicle to the user based at least in part on the user's comfort profile 137. In addition, the transportation promotion system 100 can transmit the seat assignment to the user device 195 before boarding. In another embodiment, the transportation promotion system 100 can select the route of the business vehicle to the boarding location based on the seat allocation of the user.

  In some embodiments, the transport facilitating system 100 may assign an AV 109 (or a business vehicle) to the side of the AV 109 where the assigned seat corresponds to the road curb at the boarding location (e.g., the user rides from the sidewalk or curb) There may be sent a route command to determine the route of the selected AV 109 (or a commercial vehicle) to get the user on board. In another example, configuration set 188 may further include audio adjustment commands to configure the audio focus of AV 109 to match the user's assigned seat. In yet another example, the AV data 196 can include seat sensor data that indicates the user's position within the AV 109 (e.g., when the user changes the seat). In response, configuration engine 140 can send an audio configuration command to adjust the focus of the audio based on the user position in AV 109. In the embodiments described below, one or more of the automatic configurations described in connection with FIG. 1 can be determined, generated and executed by the selected AV 109 itself.

  FIG. 2 is a block diagram illustrating an exemplary AV implementing the control system described herein. In the example of FIG. 2, control system 220 may be used to autonomously control AV 200 for various purposes, including transport services (eg, human transport, delivery services, etc.) in a given geographical area. It can be operated. In the described embodiment, the autonomous vehicle can be driven without human control. For example, in the context of a motor vehicle, an autonomous vehicle can perform maneuvering, acceleration, shifting, braking, and manipulation of lighting components. In some variations, it has also been recognized that autonomously capable vehicles can be operated autonomously or manually.

  One or more of the components described in connection with FIG. 2 may belong to a business vehicle driven by a human, such as a car or a van. For example, the business vehicle may include a wireless communication interface to communicate with the back end transportation facilitating system 100 as described in connection with FIG. Furthermore, the commercial vehicle comprises a controller for controlling each of the several adjustable components affecting the vehicle seat and environment and the adjustable components (lighting, seat adjustment, radio etc) be able to. Thus, as described herein in connection with the AV 200, the controller of a commercial vehicle (AV or human driven vehicle) is from a network service (eg, a transportation arrangement service provided by the transportation promotion system 100), One of the at least one passenger area of the vehicle by receiving a sequence of instructions via the wireless communication interface and adjusting the settings of the one or more components according to the sequence of instructions while the vehicle is traveling The comfort profile for one seat can be implemented autonomously.

  In one embodiment, control system 220 may utilize certain sensor resources to intelligently operate vehicle 200 in the most common driving situations. For example, the control system 220 can cause the vehicle 200 to travel by autonomously steering, accelerating, and braking the vehicle as the vehicle 200 travels to a destination. Control system 220 may use vehicle control behavior (eg, braking, maneuvering, etc.) using sensor information and other inputs (eg, transmitted information from a remote or local human operator, network communications from other vehicles, etc.). Operation, acceleration operation, etc.) and route planning can be made.

  In the example of FIG. 2, control system 220 comprises a computer or processing system that operates to process sensor data acquired by the vehicle for the road segment on which the vehicle 200 is traveling. Sensor data may be used to determine what action the vehicle 200 should take in order for the vehicle 200 to continue along the route to the destination. In some variations, control system 220 may include other functionality, such as a wireless communication capability to transmit and receive wireless communications with one or more remote sources. In control of the vehicle 200, the control system 220 can issue commands and data, shown as commands 235, for programmatic control of the various electromechanical interfaces of the vehicle 200. The commands 235 may function to control the driving behavior of the vehicle 200, including propulsion operations, braking operations, maneuvering operations, and assist operations (e.g., lighting of lights). In the example described herein, the command 235 is, via the component interface 255, seat configuration, seat position, seat adjustment, seat heating or cooling, radio station selection, display settings, air conditioning system, internal lighting system, It can function to further control the configurable internal system of the AV 200, such as windows and / or sunroofs or moonroofs.

  In the embodiments described herein, the AV 200 can comprise a wireless communication interface for communicating with the back end transportation facilitating system 100 described in connection with FIG.

  The AV 200 comprises multiple types of sensors 201, 203, which can be combined to provide a computerized perception of the space and environment surrounding the vehicle 200. Similarly, control system 220 can operate inside AV 200, receive sensor data from a collection of sensors 201, 203, and control various electromechanical interfaces for operating vehicle 200 on the roadway. .

  More specifically, the sensors 201, 203 operate to jointly obtain a complete sensor indication of the vehicle 200, as well as status information in the vicinity of the vehicle 200, including potential hazards in the vicinity of the vehicle 200. It operates to acquire further. As an example, the sensors 201, 203 may be a plurality of sets of camera sensors 201 (video camera, stereo camera pair or depth perception camera, long distance camera), remote detection sensor 203 provided by radar or LIDAR etc, proximity sensor or touch sensor And / or sonar sensors (not shown) can be included.

  Each of the sensors 201, 203 can be in communication with the control system 220 using corresponding sensor interfaces 210, 212. Each of the sensor interfaces 210, 212 may include, for example, hardware and / or other logic components connected to or included in each sensor. For example, the sensors 201, 203 can include a video camera and / or a stereo camera set that continuously generates image data of the ambient conditions of the vehicle 200. Additionally or alternatively, the sensor interface 210, 212 comprises, for example, a field programmable gate array ("FPGA") that can receive and / or process raw image data from a camera sensor. It can include dedicated processing resources.

  In some embodiments, sensor interfaces 210, 212 may include hardware and / or logic with programming to process sensor data 209 from respective sensors 201, 203. The processed sensor data 209 can be output as sensor data 211. Additionally or alternatively, control system 220 may also include logic to process raw or pre-processed sensor data 209.

  According to one embodiment, the vehicle interface subsystem 250 can include or control multiple interfaces to control features of the vehicle 200. The vehicle interface subsystem 250 controls the propulsion component (eg, accelerator pedal) electrically (or via programming), the propulsion interface 252, the steering interface 254 for the steering mechanism, the braking interface 256 for the braking component, And an illumination / auxiliary interface 258 for the external lights of the vehicle. According to the embodiments described herein, control signal 249 is further transmitted to component interface 255 of vehicle interface subsystem 250 to control various components of AV 200 based on user preferences or attributes. be able to. Vehicle interface subsystem 250 and / or control system 220 may include one or more controllers 240 that may receive commands 233, 235 from control system 220. The commands 235 may include route information 237 and one or more operating parameters 239 specifying the operating state of the vehicle 200 (eg, preferred speed and pause, acceleration, etc.). The commands can further include a personalization command 233, which causes the controller 240 to configure some of the adjustable components of the AV 200 via the component interface 255.

  The controller 240 may generate the control signal 249 upon receiving commands 233, 235 for one or more of the vehicle interfaces 252, 254, 255, 256, 258. The controller 240 can use commands 235 as input while the AV 200 is following the current route to control propulsion maneuvers, maneuver maneuvers, braking maneuvers, and / or other vehicle behavior. Thus, while the vehicle 200 is actively driving along the current route, the controller 240 continuously adjusts and changes the travel of the vehicle 200 by receiving a corresponding series of commands 235 from the control system 220. be able to. If there is no event or condition affecting the confidence of the vehicle 200 traveling safely along the route, the control system 220 can generate a further command 235, whereby the controller 240 controls the vehicle interface Various vehicle control signals 249 can be generated for each interface of subsystem 250.

  According to an embodiment, command 235 may specify an action to be taken by vehicle 200. An action can be associated with one or more vehicle control mechanisms (e.g., steering mechanisms, brakes, etc.). The command 235 may specify its behavior, along with attributes such as size, duration, direction, or other operating characteristics of the vehicle 200. As one example, the command 235 generated by the control system 220 may be a relative position of a road segment that the AV 200 should occupy during travel (e.g. Direction change etc.) can be specified. As another example, the command 235 can specify speed, braking or changing from acceleration to acceleration (or decelerating), turning behavior, external lighting or state change of other components. The controller 240 can translate the command 235 into control signals 249 for the corresponding interface of the vehicle interface subsystem 250. Control signal 249 may be in the form of an electrical signal that is related to specified vehicle behavior by electrical characteristics having attributes related to magnitude, duration, frequency or pulse, or other electrical characteristics.

  In the example of FIG. 2, control system 220 may include route planner 222, event logic 224, personalization logic 221, optimization logic 275, and vehicle control 228. Vehicle control 228 refers to logic that translates the event logic 224 alert ("event alert 229") into a command 235 that specifies a series of vehicle actions.

  In addition, the route planner 222 may select one or more route segments 226 that collectively form the travel path of the AV 200 at the current travel of the vehicle 200 (eg, at the time of service provision for dispatch request). it can. In one embodiment, the route planner 222 can designate a route segment 226 of a planned vehicle route that defines an indication of where the vehicle 200 turns at any time during travel. The route planner 222 can receive GPS information as sensor data 211 using the sensor interface 212. Vehicle control 228 processes the route update information from route planner 222 as a command 235 to travel along a route or route, using default driving rules and actions (eg, moderate maneuvering and speed) Can.

  In particular embodiments, event logic 224 can trigger a response to a detected event. The detected events may correspond to road conditions or obstacles that, when detected, pose a potential danger or collision threat to the vehicle 200. As an example, detected events may include objects in road segments, traffic jams ahead, and / or road segment wettability or other environmental conditions. Event logic 224 may use sensor data 211 from a camera, LIDAR, radar, sonar, or various other image or sensor components to detect the presence of such events described above. For example, event logic 224 can detect depressions, debris, objects, etc. that are projected onto the collision trajectory. Thus, event logic 224 detects events, which allows control system 220 to take evasive action or plan for all potential threats.

  When an event is detected, event logic 224 may classify the event and emit an event alert 229 indicating the type of avoidance action to be performed. In addition, the control system 220 can determine if the event corresponds to a potential collision with a human-operated vehicle, a pedestrian, or other human entity present outside the AV 200. Vehicle control 228 may then determine a response based on the score or classification. Such correspondence can correspond to an event avoidance action 223 or an action in which the vehicle 200 can operate the vehicle 200 based on the detected event and its score or classification. By way of example, the response of the vehicle can include slight or abrupt vehicle operation for avoidance using steering control mechanisms and / or braking components. Event avoidance behavior 223 may be communicated via command 235 to controller 240 of vehicle interface subsystem 250.

  When a particular class of predicted moving objects has moved to a position where it may actually collide or interfere, event logic 224 may emit an event alert 229 to cause event control action to vehicle control 228. A command 235 corresponding to 223 can be generated. For example, in the case of a bicycle collision where a bicycle (or a bicyclist) enters the path of the vehicle 200, the event logic 224 can emit an event alert 229 to avoid the collision. The event alert 229 is (i) a classification of the event (e.g., "serious" and / or "immediate"), (ii) the type of object that caused the event alert 229, and / or the type of action that the vehicle 200 should take ( For example, information about the event may be indicated, such as the relative position of the object relative to the vehicle path, the size or type of the object, and the like.

  According to the embodiments described herein, the AV 200 communicates with one or more networks 280 to communicate with a back-end transportation promotion system 290, such as the transportation promotion system 100 described in connection with FIG. An array 214 can be provided. When the AV 200 providing the service regarding the allocation request is selected, the communication array 214 receives the transportation invitation 213 providing the service regarding the allocation request from the transportation promotion system 290, drives to the boarding place, and the requested user You can wait. In many aspects, a transport invitation 213 can be sent to the route planner 222 to autonomously drive the AV 200 to the ride location. In conjunction with or subsequent to receipt of the transport invitation 213, the communication array 214 transports the AV configuration set 218, which personalizes the various configurable components of the AV 200 for the next passenger, It can be received from 290.

  The AV configuration set 218 can be processed by the personalization logic 221 of the control system 220, and the logic 221 can generate a personalization command 233 for the component interface 255 that the controller 240 executes. In particular embodiments, control system 220 may execute personalization logic 221 in cooperation with optimization logic 275 to execute personalization commands 233 in a timely manner. Such timing characteristics are useful for the optimization and management of the overall power and energy of the AV 200. As an illustrative example, the AV 200 operates in a hot desert climate and receives a transport invitation 213, where the boarding location is several miles (e.g., about 10 miles away from its current location) Can. The AV configuration set 218 can indicate that the AV's air conditioning system favors the user in a cool car that requires a large amount of energy. The optimization logic 275 may generate timing data 231 that causes the controller 240 to perform the air conditioning aspect of the personalization command 233 such that a cool desired temperature is achieved just prior to the AV 200 arriving at the ride location. Thus, while the controller 240 can immediately execute the personalization command 233 for certain components (e.g., seat configuration and arrangement), the controller 240 can execute other personalization commands (air conditioning system, audio and display). The system etc) can be implemented as constrained by the timing data 231 generated by the optimization logic 275.

  When the personalization command 233 is executed by the controller 240, an audio system (for example, a radio station, volume, audio focus), a display system (for example, display of a home page, preset of preferable content for watching), window / sunroof (Eg, open, partially open, or closed), lighting systems (eg, mood lights, reading lights, colored lights, and / or brightness), seat configurations (eg, back front seats for multiple passengers) Seat arrangement (eg, back and forth position, backrest angle, thigh length, headrest angle, headrest height, waist position, seat depth, seat height, upper seat tilt angle, or shoulder support) Adjustment), seat temperature, mirror position, and / or air conditioning system (eg, temperature, temperature focus based on user position in AV 200), etc. A It is possible to set the components of. The personalization command 233 for any one of the aforementioned configurable components can be temporally constrained by the optimization logic 275 to optimize the use of the energy of the AV 200, as described above.

  In a particular aspect, the AV configuration set 218 may also include control mode preferences for schematic driving of the AV 200 through road traffic. For example, the AV configuration set 218 can indicate a preference mode (eg, high alert mode for seniors) or a preference avoidance item (eg, avoidance of high alert mode for commuters). The personalization logic 221 can communicate control mode 291 information to the vehicle control 228, and the vehicle control 228 adjusts general control parameters when operating the braking, acceleration and steering system of the AV 200. Can. For example, the preferred high alert mode may allow the vehicle control 228 to increase the relative braking distance and / or provide a more moderate acceleration to increase passenger comfort.

  As the AV 200 transports the passenger to the designated location, the passenger may make adjustments to the various configurable components to indicate particular preference patterns over time or during n rides. Thus, the personalization logic 221 may also monitor such adjustment data 242 and send the adjustment data 242 back to the transportation facilitation system for analysis as described herein.

  In some embodiments, the control system 220 may store AV data 262 indicative of information on boarding, which may include potential causes of high or low ratings provided by the passenger. 227 can be further provided. In particular aspects, data compiler 227 can be programmed to identify anomalies, such as those associated with event avoidance behavior 223. Additionally or alternatively, AV data 262 over time or n rides, including AV data from other commercial AVs that provided transportation to passengers, even without clear feedback from the user , May include information indicating the user's general riding preferences. Thus, as described herein, the AV data 262 can be periodically streamed or sent back to the transportation facilitation system 290 for pattern analysis.

  FIG. 3 is a block diagram illustrating an exemplary mobile computing device that implements the designated application of the transportation arrangement service described herein. Mobile computing device 300 may store the designated application (eg, passenger application 332) in local memory 330. In response to user input 318, passenger application 332 may be executed by processor 340, whereby application interface 342 may be generated on display screen 320 of mobile computing device 300. The application interface 342 allows the user, for example, to confirm the current price level and booking status of the transportation arrangement service. In various embodiments, the application interface 342 further allows the user to select from a plurality of ride services, such as ride-in services, regular passenger services, professional passenger services, van transport services, luxury ride services, and the like. Examples of services that can be viewed and requested include those provided by UBER Technologies, Inc. of San Francisco, California.

  The user can generate a dispatch request 367 via user input 318 provided in the application interface 342. For example, the user may select a ride location, review various types of services and approximate prices, and select a particular transport service to the input destination. In many embodiments, the user can enter a destination prior to boarding. The processor 340 can send a dispatch request 367 to the back end transportation promotion system 399 via the communication interface 310 and through the communication network 380. In response, the mobile computing device 300 may receive from the transportation promotion system 399 a selected AV that is to provide a service for the dispatch request 367, and a confirmation notification 369 indicating that the user will be queued at the boarding place. it can.

  In particular embodiments, the acknowledgment 369 and / or the dispatch request 367 causes the mobile computing device 300 to be activated, and accelerometer data 352 and from an inertial measurement unit 350 of the mobile computing device 300, and a GPS unit or module 360. Transmission of location data 362 can be initiated. The transport facilitating system 399 analyzes the position data 362 and accelerometer data 352 as described herein to determine the user's set of attributes 317 and configures the selected AV seat accordingly. Can. In variations, processor 340 of mobile computing device 300 can receive and analyze accelerometer data 352 and position data 362 to determine or estimate a series of user attributes 317. In doing so, the processor 340 analyzes the peak traces of the accelerometer data 352 and correlates the walking distance from the position data 362 with such traces so that height, weight, walking pattern, figure, posture, leg length Attributes such as height, femur length, and / or trunk length can be determined or estimated. Once calculated, the processor can send user attributes 317 to the transport facilitation system 399 through the network 380 so that the transport facilitation system 399 can configure the seat of the AV accordingly.

  In one or more embodiments, the passenger application 332 may also generate an AV configuration interface 344 to allow the user to set preferences and / or configure the internal components of the AV prior to boarding. In one aspect, the AV configuration interface 344 can be automatically generated after sending the dispatch request 367. In an alternative embodiment, AV configuration interface 344 may be initiated via user input 318 of application interface 342. The user utilizes the AV configuration interface 344 to select temperature, rough seating preferences (eg, relax vs. upright), seating temperature, radio station settings, display settings (eg, specific program or content settings and / or It is possible to set preference items such as a home page), internal lighting, and a driving mode (improvement of riding comfort vs. minimizing traveling time).

  In various embodiments, after each ride, the user may return feedback 322 regarding the ride via the app interface 342. Feedback 322 may include an overall user experience rating (eg, 1-5 stars) regarding the ride, and / or surveys or comments to add feedback. The processor 340 can analyze the AV data or recognize a preference pattern by transmitting the feedback data 322 to the transportation facilitating system 399.

Methodology In the description of FIGS. 4A, 4B, 5A, 5B and 6 below, reference may be made to the reference numerals indicating the arrangement of FIGS. Furthermore, the processes described below in connection with FIGS. 4A and 4B, and 5A and 5B can be performed by the exemplary transportation facilitating system 100 shown and described in connection with FIG. Furthermore, the operations shown in FIGS. 4A and 4B and 5A and 5B described below need not be performed in any particular order. Accordingly, in the example of the flow chart of FIGS. 4A and 4B and 5A and 5B described and illustrated below, the particular process or operation shown by the reference circles “A” and “B” in FIGS. The set may be performed before, simultaneously or after another process or operation set.

  In addition, the exemplary transportation facilitating system 100 performing the operations of FIGS. 4A and 4B, and 5A and 5B (e.g., by performing time-lapse machine learning) is data indicative of a user's potential preferences and / or ( User input (e.g., via preference menu 186), or (machine learning and), initially determined by the transport facilitation system 100 using accelerometer data and position data from the passenger's mobile computing device 195; Preference log 132 and comfort profile 137 may be stored, including comfort or preference settings determined over time by transport facilitation system 100) (or via pattern recognition).

  4A and 4B are flowcharts illustrating an exemplary method of configuring an AV for a user utilizing a comfort profile according to the embodiments described herein. In FIG. 4A, the transportation promotion system 100 can receive a dispatch request 197 from the user device 195 (400). In many aspects, dispatch request 197 may indicate a unique identifier 136 (402) (such as an application identifier, an account identifier, and / or a telephone identifier) of the user and a ride location (404). In a particular aspect, the transportation promotion system 100 can use the boarding place to select an AV 109 that provides a service related to a dispatch request (405). For example, the AV 109 can be selected based on proximity to the boarding location and a short estimated time to arrive at the boarding location (e.g., determined by traffic conditions). In an alternative embodiment, filtering the selection of the AV based on the preferred vehicle type or service type indicated by the user (e.g., direct input to designated application 185 or search 142 of comfort profile 137) it can. Once the AV is selected (and upon consent to the invitation 182 providing the requested service), the transportation facilitating system 100 can transmit the boarding location to the AV 109 to enable meeting (410 ).

  The transportation promotion system 100 may perform a search 142 against the database 130 for the client user's comfort profile 137 using the unique identifier 136 (415). As described herein, the comfort profile 137 may indicate an AV configuration or configuration preference item 133 for the requesting user. Additionally or alternatively, the transportation facilitating system 100 can receive an AV configuration preference item from the preference menu 186 of the user device 195 (420). For example, when setting up an account for the transportation arrangement service, or after each dispatch request 197, the user enters configuration preference items that indicate rough preferences (eg, warm or cool car temperature, relaxed or upright seating, etc. can do. Based on the configuration preferences in the comfort profile 137 and / or the configuration preferences received from the user device 195, the transportation facilitating system 100 can generate an AV configuration set 188 (425).

  As described herein, the AV configuration set 188 can include various configurable tuning parameters of the selected AV 109. For example, the AV configuration set 188 can include a seat configuration (432) that the AV 109 performs prior to arriving at the ride location. The AV 109 can include a front seat motor that can pivot the front seat back. Therefore, a user requesting group transportation can input a seat configuration preference item for pivoting the front seat to the preference menu. In response, the transportation facilitating system 100 can include the seat configuration preferences in the AV configuration set 188.

  Additionally or alternatively, the AV configuration set 188 may include adjustments for the seat, such as temperature settings or designated seat positions (434) as described herein. The AV configuration set 188 can further include air conditioning and / or temperature settings (436) internal to the AV 109. In some embodiments, the air conditioning setting may indicate the temperature inside the entire AV 109. Alternatively, the air conditioning setting may indicate a local temperature based on the location (e.g., ride-in) to which the user inside AV 109 is assigned (e.g., in a ride-on). Thus, where transport facilitation system 100 routes AVs 109 to run a single ride or board multiple passengers, each passenger's AV configuration set 188 sets up the local air conditioning settings for the seat assigned to each passenger Can be shown.

  In particular aspects, the AV configuration set 188 can include visual settings (438) to configure the display and / or internal lighting of the AV 109. For example, depending on the visual settings, the AV 109 may provide mood lighting (eg, configure a specific color and / or brightness), turn on the reading light of the seat assigned to the user, or ask the passenger to display It can be set to a home page or content. Additionally or alternatively, the AV configuration set 188 can indicate audio settings (440), such as selection of a passenger's preferred radio station, or a series of radio stations, and / or a preferred volume. Additionally, the audio settings may include audio focus settings to balance and fade the audio system to focus sound on the seats assigned to the passengers.

  In another aspect, the AV configuration set 188 can include the preferred settings of a window, sunroof or moonroof, mirror, convertible setting (e.g., occlusion or opening of the top of the convertible AV), etc (442). Once the AV configuration set 188 is generated, the transportation facilitating system 100 can transmit the AV configuration set 188 to the selected AV 109, and the AV 109 can configure the internal components to a preferred setting before the passenger is taken. .

  In FIG. 4B, the transportation promotion system 100 can provide the user with a service regarding a dispatch request for a long period of time, any number of rides, or a given time throughout a given area (450). Further, as described herein, the transportation facilitating system 100 can store 452 their comfort profile 137 indicative of AV configuration and / or configuration preferences. In particular embodiments, the individual user comfort profile 137 may include user attributes 153 such as the user's height, weight, and body shape. In one embodiment, the transportation facilitating system 100 may add user attributes 153 to easily identify and / or retrieve matching comfort profiles 137 (eg, to generate a new configuration set 188 for a new user). Based on the comfort profile in the database 130 can be classified. For a given user of the transportation arrangement service, the transportation promotion system 100 may receive feedback data 193 (eg, an assessment) after some or all of the rides (454). In some aspects, the transport facilitating system 100 determines whether the current rating of a particular ride (eg, the current ride immediately after getting off) is below a particular threshold (eg, 2 of 5 stars). A determination can be made (456). If so (457), a low rating can trigger an analysis of the AV ride itself. In an alternative embodiment, the transportation facilitating system 100 may analyze the data of each boarding independently of the evaluation to identify or associate the particular situation or event of the boarding that may contribute to the evaluation. it can.

  Thus, the transportation facilitating system 100 can analyze the AV data 196 on boarding for a potential cause of the evaluation (whether low or high) or an abnormal situation that may be the cause of the evaluation (458 ). The transportation promotion system 100 further analyzes the historical data in the passenger's preference log 132 to determine if a pattern (e.g., a boarding preference item characteristic) exists between the current movement and the past movement. Can do it (460). For example, for a passenger, certain ride characteristics (eg, when operating in high alert mode, AV travel is too slow, or there are cases of sudden braking or acceleration in the AV data 196 of the ride) There may be a history of entering a low rating for the included ride. The transportation facilitating system 100 can determine if there is a pattern or correlation (462). If not (463), the transport promotion system 100 may be between any number of potential causes or anomalies that caused the evaluation in the passenger preference log 132 for future reference. Correlation can be recorded (466). However, if there is a clear correlation (464), then the transport facilitating system 100 will have a certain probability threshold (eg 75% certainty that the property or anomaly contributed to the evaluation). Can be calculated (468).

  If the identified correlation does not exceed the threshold (467), the correlation may be recorded in the passenger preference log (466) for future reference. However, if the identified correlation actually exceeds the threshold (469), the transportation facilitating system 100 modifies or edits the comfort profile 137 of the passenger, and the learned preference items that the passenger has never shown before Can be included (470). As an example, when a small compact AV is selected to transport the passenger, it may be possible for the passenger to show a history of having entered a low rating. Given the correlation between the small compact AV and the rating over several movements, the transport facilitation system 100 modifies the passenger's comfort profile 137 to avoid selection choices to avoid the small compact AV in the future Items can be included. Thus, prior to selecting an AV to provide the service of the received dispatch request 197, the transportation promotion system 100 can view the comfort profile 137 of the passenger and exclude the small compact AV.

  Further in FIG. 4B, the transportation facilitating system 100 may receive adjustment data 163 corresponding to adjustments made by the passenger to the internal system and components of the AV 109 during or after boarding (472). Adjustment data 163 may, for example, be for seat temperature, configuration or position (474), air conditioning system (476), audio system (478), and / or vision system (eg internal light or display) (479) It can indicate the adjustments made. The transportation promotion system 100 may accumulate adjustment data 163 in the passenger preference log 132 to perform pattern recognition analysis (480). Over time, stored adjustment data 163 may indicate particular patterns by the user that reflect new or alternative preferences. Accordingly, the transportation promotion system 100 can analyze the history adjustment data 163 of the preference log 132 (482) to determine whether there is a pattern that can indicate the preference item (484). If the pattern is not identified (485), the pattern analysis process can end (486).

  However, if the pattern is identified (487), the transportation facilitating system 100 can determine (488) whether the preference item corresponding to the pattern exceeds a particular probability threshold. If not (489), the transport facilitating system 100 can record another instance of the detected pattern and terminate the process (486). However, if the preference item corresponding to the pattern actually exceeds the threshold (490), the transportation facilitating system 100 may modify or edit the passenger comfort file 137 to include the learned preference item (495) .

  5A and 5B are flowcharts illustrating further exemplary methods of configuring an AV for one or more users according to the embodiments described herein. In FIG. 5A, the transportation promotion system 100 can receive a dispatch request 197 from the user device 195 (500). The dispatch request 197 may include the user's unique identifier 136 (502) and the boarding location (504). Using the allocation request, the transportation promotion system 100 can select the nearest AV 109 to provide a service related to the allocation request (507), and if agreement is obtained, transmit the boarding place to the AV 109 , AV 109 and request user can be made available (509).

  According to the embodiments described herein, the transportation facilitating system 100 can receive accelerometer data 181 and position data (eg, GPS data 183) from the user device 195 (505). In some aspects, the acknowledgment 199 initiates transmission of accelerometer data and GPS data. In an alternative embodiment, the transportation facilitating system 100 can always receive and analyze the accelerometer data 181 and the GPS data 183. Thus, the transportation facilitating system 100 can analyze the accelerometer data 181 and the GPS data 183 to determine or estimate some user attributes 153 (510). For example, the data can include directional acceleration peaks, which can include the user's walking pattern, stride, and force vectors (including magnitude) that can indicate relative weight. The transport facilitating system 100 analyzes these data, for example, height (511) of the user, weight or shape (512), leg length (513) (and / or femur length), and And / or relative attitude (e.g., upright vs. forward) (514) can be calculated.

  Based on the determined or estimated user attributes 153, the transportation promotion system 100 can query the database 130 for the corresponding comfort profile 137 and generate a seating configuration set (515). As described herein, the transportation facilitating system 100 can identify a series of corresponding comfort profiles 137 of the user having similar attributes, and based on the corresponding comfort profiles, the basis of the seat configuration set and can do. For example, the transportation promotion system 100 can calculate and use an average of the seat adjustment and position setting of the corresponding comfort profile 137, and generate a seat configuration set of the requesting user based on the calculated average. In one embodiment, the seat configuration set can be saved as the initial configuration of the requesting user. The transport promotion system 100 can then overwrite the initial configuration when the requesting user manually makes adjustments, and the transport promotion system 100 will, over time, complete the comfort profile 137 of the requesting user. It can be built.

  As described further herein, the seat configuration set allows the selected AV 109 to adjust various parameters of the seat (e.g., assigned seat) for the user. For example, the seat configuration set may include a specific backrest angle of the user's seat, thigh length adjustment (eg, cushion edge adjustment), front / back position, headrest angle, headrest height, waist position, seat depth Seat height, upper seat tilt angle, and / or shoulder support adjustments can be shown. Thus, the transport facilitation system 100 can transmit the set of seat configurations to the selected AV 109 to adjust the user's seat before arriving at the boarding location (520).

  In particular embodiments, the transportation facilitating system 100 may determine a designated seat of the AV 109 to assign to the user (525). In one embodiment, the transportation promotion system 100 assigns a seat to the user based on the reservation status (for example, in the case of a ride). In another embodiment, a default seat (e.g., left front seat) can be assigned based on customs or passenger preferences. According to the embodiments described herein, the transportation facilitating system 100 can transmit a seat confirmation notification to the user device 195 indicating the assigned and / or pre-configured seats (530).

  In addition, the transportation promotion system 100 can transmit a route command indicating route information for getting the user on to the selected AV 109 on the curb side corresponding to the assigned and / or pre-configured seat (535) . For example, the boarding location may be specified so that the seat side coincides with the side of the road so that the transport promotion system 100 does not have to route AV 109 and / or the user need to walk around the roadside of AV 109. It can include roadsides that can be used to allocate seats.

  FIG. 5B is a flowchart illustrating another example of setting an AV for a user. In FIG. 5B, the transportation promotion system 100 can receive a dispatch request 197 from the user device 195 (550), and can select an AV 109 that provides the service of the dispatch request 197 (555). In some embodiments, after selection, the transportation facilitating system 100 receives or retrieves AV parameter data (eg, stored in the AV parameter log 134) indicating the configurable components of that particular AV. Can (560). The embodiments described herein recognize that various AVs can be manufactured, including any number of configurable internal components. For example, the basic AV can simply include an interior space with a seating arrangement and no configurable components. Higher-end AVs include seat configuration (586), seat temperature control, seat position, and seat control (588), air conditioning (eg, air temperature and localization) (590), vision system (eg, lighting and / or one) Display systems including the above displays (592), audio system settings (eg radio channels, volume, balance and fade adjustments (594), and windows, sunroofs, convertible settings, mirrors etc (596) other components Related, configurable components and systems can be included.

  According to a particular embodiment, the AV may comprise a network and / or computation function for the passenger. For example, the AV can be equipped with virtual reality or augmented reality capabilities to facilitate the provision of job-oriented activities such as work or game play. In one embodiment, the transportation facilitating system 100 can provide services that allow access to certain features of the AV, such as conferencing, secure networks, content browsing, game playing, and the like. Furthermore, such functions can be accessed through user accounts managed by the back end transportation promotion system 100. Such networking and / or computation services may be preconfigured in the AV configuration set 188 sent to the selected AV 109 or may be entered by the requesting user via the preference menu of the designated application 185. Thus, the AV configuration set 188 can further include the configuration of network / computation services available at the AV 109 (598).

  In one or more embodiments, the transportation promotion system 100 generates a preference menu 186 based on the actual configurable components and parameters of the actual AV 109 selected to provide the service of the dispatch request 197. , Preference menu 186 may be sent to user device 195 (565). The user can choose to ignore the menu 186, exit the menu 186, or make various selections prior to boarding to personalize the selected AV. The transportation facilitating system 100 may receive 570 preference choices 191 from the user device 195 and, if necessary, access the user's comfort profile 137 to identify additional preferences 133 133 (575). Next, the transportation facilitating system 100 can generate an AV configuration set 188 (580) that indicates a series of configuration preferences for personalizing the AV 109. In some aspects, the AV configuration set 188 includes a series of instructions instructing the control system of the AV 109 to automatically configure each of the components according to the user's preferences on the way to the ride location Can. Thereafter, the transportation facilitating system 100 can transmit the AV configuration set 188 to the selected AV 109 (585).

  FIG. 6 is a flow chart describing an exemplary method of optimizing timing for setting AV for one or more users according to the embodiments described herein. In the description of FIG. 6 below, reference can be made to the reference numerals indicating the functions of FIGS. Furthermore, the process described in connection with FIG. 6 may be performed by the exemplary AV 200 shown and described in connection with FIG. In FIG. 6, the AV 200 may receive from the transportation promotion system 290 a transportation invitation 213 providing the service of a dispatch request 197 (600). In some embodiments, the AV 200 can reject the invitation 213 if certain inconsistencies exist, such as a lack of fuel or power, or lack of service requirements. In a variant, the AV 200 may agree to an invitation 213 which may include a ride request or a single use request (605). In the carpool embodiment, the AV 200 can transport additional passengers, via several locations for getting on and off passengers on dynamically calculated routes (e.g., by route planner 222) can do.

  Before or after agreeing to the invitation 213, the AV 200 may receive 610 a ride location and, in response, may autonomously drive to the ride location 615. The AV 200 may receive an AV configuration set 218 for the user from the transport facilitation system 280 (620) prior to initiating travel or on the way to the ride location. As described herein, the AV configuration set 218 can include various configurable components of the AV 200 or tuning parameters of the internal system. In various embodiments, the AV 200 can determine (625) an optimal timing schedule for executing each configuration command for each component. By doing so, the AV 200 can calculate adjustment timing of some or all of the components (630). For some components, the AV 200 can determine that immediate execution is optimal (632). For example, seat configuration and adjustments can be performed any time before arriving at the boarding location. With respect to other components, the AV 200 may determine that it may be more optimal to perform tuning or configuration for optimal or timed reasons, for energy and / or practical reasons.

  For example, the air conditioning system of the AV 200 can consume a large amount of energy, especially for extreme temperature differences inside and outside the AV 200. Thus, it may be desirable to always optimize the air conditioning system over many travels in order to optimize energy usage. Furthermore, because it is not practical for the empty AV 200 to move with audio output or with content displayed, the optimal timing of such a system is to have the display and audio system just before arriving at the boarding place. It can indicate to start. In many aspects, the AV 200 can determine an estimated time to travel to the boarding location based on the distance to the boarding location or the distance and / or traffic conditions (635), , The configuration command may be executed according to the calculated timing schedule (640). Thus, when the AV 200 arrives and the user gets in (645), all configuration items may be performed in accordance with the AV configuration set 218.

  The AV 200 can monitor the user position within the AV 200 (650) while the AV 200 autonomously drives to the alighting destination. In one aspect, the AV 200 can monitor the user position using a seat sensor (652). Additionally or alternatively, the AV 200 can monitor user position using one or more internal cameras (654). Thus, while moving, the user can move position or change seats in the passenger compartment. As the user moves, the AV 200 can dynamically adjust the audio focus (eg, balance and fade of the audio system) based on the user position (655). Additionally or alternatively, the A 200 can dynamically adjust air conditioning (eg, local temperature) for the user based on the user's position within the AV 200 (660). Furthermore, additionally or alternatively, the AV 200 can dynamically adjust seat temperature settings based on the user position within the AV 200 (665). When the AV 200 arrives at a destination (e.g., a drop-off location) 670, the process may repeat with another user or continue to carry on as indicated by the reference circle "C".

Hardware Diagram FIG. 7 is a block diagram that illustrates a computer system upon which the embodiments described herein may be implemented. Computer system 700 can be implemented, for example, on a server or combination of servers. For example, computer system 700 can be implemented as part of a network service that provides transportation services. In the context of FIG. 1, transport facilitating system 100 may be implemented using a computer system 700 as shown in FIG. The transportation facilitating system 100 can also be implemented using a combination of computer systems described in connection with FIG.

  In one embodiment, computer system 700 includes processing resources 710, main storage 720, read only memory (ROM) 730, storage 740, and communication interface 750. Computer system 700 includes at least one processor 710 for processing information stored in main storage 720, which may be comprised of random access memory (RAM) or other dynamic storage, etc. , Store information and instructions executable by processor 710. Main memory 720 may also be used to store temporary variables or other intermediate information during execution of instructions executed by processor 710. Computer system 700 may also include a ROM 730, or other static storage device, for storing static information and instructions for processor 710. A storage device 740, such as a magnetic or optical disk, for storing information and instructions is provided.

  Communication interface 750 enables computer system 700 to communicate with one or more networks 780 (eg, a cellular network) using a network link (wireless or wired). Using a network link, computer system 700 can communicate with one or more computing devices, one or more servers, and / or one or more AVs. According to an embodiment, computer system 700 may receive dispatch requests 787 from mobile computing devices of individual users. Executable instructions stored in memory 720 may include configuration instructions 722, which may be executed by processor 710 to determine the configuration preferences of the user and generate AV configuration set 754 as described above. . The executable instructions stored in memory 720 are pattern recognition instructions 724 so that computer system 700 can identify patterns of current and past AV data that can be associated with learned preferences. Can also be included. As an example, processor 710 may execute the example transportation promotion system 100 of FIG. 1 by executing the instructions and data stored in memory 720. In performing the operation, the processor 710 receives the dispatch request 784 via the communication interface 750, generates an invitation 752 and sends it to the AV providing the service of the dispatch request 784, to know the preference items Data 782 may be received and an AV configuration set 754 may be sent.

  Processor 710 is configured with software and / or other logic that performs one or more of the processes, steps, and other functions described in the embodiments shown in FIGS. 1-6 and elsewhere in this application.

  The embodiments described herein relate to the use of computer system 700 to perform the techniques described herein. According to one embodiment, these techniques are performed by computer system 700 in response to processor 710 executing one or more sequences of one or more instructions contained in main memory 720. Such instructions may be read into main memory 720 from another machine-readable medium, such as memory 740. Execution of the sequences of instructions contained in main memory 720 causes processor 710 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the embodiments described herein. Thus, the described embodiments are not limited to any specific combination of hardware circuitry and software.

  FIG. 8 is a block diagram illustrating a mobile computing device that can implement the embodiments described herein. In one embodiment, mobile computing device 800 may correspond to, for example, a mobile communication device (eg, feature phone, smart phone, etc.) capable of telephony, message exchange, and / or data services. In variations, mobile computing device 800 may correspond to, for example, a tablet or wearable computing device. Furthermore, the mobile computing device 800 can be distributed to multiple portable devices of the driver and the requesting user.

  In the example of FIG. 8, the computing device 800 includes a processor 810, memory resources 820, a display 830 (eg, a touch sensor display), one or more communication subsystems 840 (including a wireless communication subsystem), A mechanism 850 (eg, the input mechanism may include or be part of a touch sensor display) and one or more position detection mechanisms (eg, GPS components) 860. In one embodiment, at least one of the communication subsystems 840 sends and receives cellular data over the data and voice channels.

  A network service request user can operate the mobile computing device 800 to send a dispatch request that includes a ride location. Memory resource 820 may link the requesting user to the network service and store a designated user application 807 for facilitating dispatch. When the processor 810 executes the user application 807, a user GUI 837 is generated on the display 830. By the user interacting with the user GUI 837, the user can transmit a dispatch request associated with the network service, which allows the AV to agree to an invitation to provide a service regarding the dispatch request.

  FIG. 9 is a block diagram that illustrates a computer system that can implement the exemplary AV processing system described herein. Computer system 900 can be implemented using one or more processors 904 and one or more memory resources 906. In the context of FIG. 2, control system 220 may be implemented using one or more components of computer system 900.

  According to some embodiments, computer system 900 may be implemented on an autonomous vehicle with software and hardware resources as described in the embodiment of FIG. In the illustrated embodiment, computer system 900 can be spatially distributed in different areas of an autonomous vehicle in various ways integrated with other components of the autonomous vehicle itself. For example, processor 904 and / or memory resource 906 may be located within the trunk of an autonomous vehicle. Various processing resources 904 of computer system 900 may also execute personalization / optimization instructions 912 using a microprocessor or integrated circuit. In some embodiments, personalization / optimization instructions 912 may be implemented by processing resources 904 or using a field programmable gate array (FPGA).

  In the example of FIG. 9, computer system 900 may include communication interface 950 (or a series of local links) to the vehicle interface of the autonomous vehicle and other resources (eg, computer stack drives). In one embodiment, communication interface 950 provides a data bus or other local link to the vehicle's electromechanical interface, such as a wireless or wired link to AV control system 220, as well as to the transportation facilitating system 1 Network links may be provided via one or more networks 960.

  Memory resources 906 may include, for example, main storage, read only memory (ROM), storage, and cache resources. The main storage of memory resources 906 may include random access memory (RAM) or other dynamic storage for storing information and instructions executable by processor 904. Processor 904 can execute instructions that process information stored in main memory of memory resource 906. Main memory 906 may also store temporary variables or other intermediate information that may be used during execution of instructions by one or more processors 904. Memory resources 906 may also include ROM or other static storage device for storing static information and instructions for one or more processors 904. Memory resources 906 may also include other forms of memory devices or components, such as magnetic disks for storing information and instructions, or optical disks, for use by one or more processors 904.

  According to some embodiments, memory 906 may store multiple software instructions, including, for example, personalization / optimization instructions 912. The personalization / optimization instructions 912 may be executed by one or more processors 904 to perform functions such as those described in connection with FIGS.

  In particular embodiments, computer system 900 may receive AV configuration set 962 from a transportation facilitation system via a communication interface and network 960. In executing personalization / optimization instructions 912, processing resources 904 may generate and execute configuration commands 918 to coordinate and configure various configurable components 920 of the AV. Additionally, the processing resource 904 can transmit AV data 952 to the transportation facilitating system through the network 960, as described herein.

  Although the example of FIGS. 7-9 is a description of a computing system for implementing the described aspects, some or all of the functionality of one of the computing systems of FIGS. It may also be performed by one or more other computing systems as described in connection.

  The embodiments described herein extend to the individual elements and systems described herein, independently of other concepts, concepts or systems, and of the elements described elsewhere in this application. It is intended to include combinations. While the embodiments are described in detail herein with reference to the accompanying drawings, it is to be understood that the concepts are not limited to such clear embodiments. Accordingly, many modifications and variations will be apparent to practitioners skilled in the art. Accordingly, the scope of the concepts is intended to be defined by the following claims and their equivalents. Furthermore, any particular features described individually or as part of an embodiment may be other features or functions of an embodiment that do not refer to that particular feature, and so forth. It is intended to be able to be combined. Thus, the absence of a description of a combination should not preclude the claim of the right to such a combination.

100, 290, 399 transportation promotion system 105 vehicle interface 109 AV
115 Communication Interface 125 Log Manager 130, 330 Database 135 Selection Engine 140 Configuration Engine 150 Data Analyzer 160 Pattern Recognition Engine 175 Mapping Engine 185 Specified Application 186 Preference Menu 195 User Device 220 Control System 240 Controller 300, 800 Mobile Computing Device 310 Communication Interface 320 display screen 340 processor 350 inertial measurement unit 360 GPS module 700, 900 computer system

Claims (59)

A transportation promotion system,
A database storing a profile indicating setting preference items of a plurality of components of the commercial vehicle for users of the transportation arrangement service;
With one or more processors,
Said transport promotion system, when executed by said one or more processors,
Receiving from the user device executing the specified application for the transportation arrangement service, a request including a unique identifier and a boarding place, which is a vehicle allocation request,
Using the unique identifier, the database is searched for a comfort profile indicating vehicle setting preferences of the user of the user device,
Based on the boarding location, a business vehicle providing a service related to the dispatch request is selected;
A series of configuration instructions for the selected business vehicle based on the vehicle setting preference items indicated in the comfort profile, before the selected business vehicle arrives at the boarding place; Send configuration instructions to configure some of the adjustable components of the selected business vehicle,
One or more memory resources that store instructions;
A system characterized by comprising.   According to the vehicle setting preference item, the executed command causes the transport promotion system to further transmit one or more components of the commercial vehicle while the commercial vehicle is moving to the boarding place. The transportation promotion system according to claim 1, characterized in that it is adjusted automatically.   The executed instruction further causes the transportation promotion system to take a route for the business vehicle to reach the boarding place in order to perform an operation on at least one vehicle setting preference item according to the comfort profile. The transportation promotion system according to claim 1, wherein an instruction to extend or delay is transmitted to the business vehicle.   The command executed causes the transportation promotion system to present a preference menu of the designated application, which enables the user to input at least a part of the setting preference items of the business vehicle. The transportation promotion system according to claim 1.   The said executed instruction further causes the transportation promotion system to determine the seat allocation of the user in the business vehicle based on at least a part of the comfort profile of the user. The transportation promotion system according to Item 1.   The transportation promotion system according to claim 5, wherein the executed command causes the transportation promotion system to further transmit the seat allocation to the user device.   The transportation promotion system according to claim 5, characterized in that the executed instruction causes the transportation promotion system to further select a route to the boarding place of the business vehicle based on the seat allocation. .   The command executed may further inform the user that the transportation promotion system further can not use one or more mechanisms for executing the user's comfort profile in the selected business vehicle The transportation promotion system according to claim 1, characterized in that   The transportation promotion system according to claim 1, wherein the business vehicle is an autonomous vehicle.   The vehicle setting preference item of the comfort profile is characterized by indicating at least one of a seat position adjustment preference item, a temperature preference item, a home page display preference item, a language preference item, a radio station preference item, or an internal lighting preference item. The transportation promotion system according to claim 1. A non-transitory computer readable medium for storing instructions, said instructions being executed by one or more processors of a transportation promotion system, said transportation promotion system comprising:
Receiving a request including a unique identifier and a boarding location from a user device that executes a designated application for a transportation arrangement service managed by the transportation promotion system,
The database is searched for a comfort profile indicating vehicle setting preferences of the user of the user device using the unique identifier,
Based on the boarding location, a business vehicle providing a service related to the dispatch request is selected;
A series of configuration instructions for the selected business vehicle based on the vehicle setting preference items indicated in the comfort profile, before the selected business vehicle arrives at the boarding place; Send configuration instructions to configure some of the adjustable components of the selected business vehicle,
A medium characterized by   The executed command automatically adjusts one or more components of the business vehicle according to the vehicle setting preference items while the transportation promotion system and the business vehicle move to the boarding place A non-transitory computer readable medium according to claim 11, characterized in that   The executed instruction extends the route taken by the commercial vehicle to reach the boarding location in order to operate the transportation promotion system and at least one vehicle setting preference according to the comfort profile. The non-transitory computer readable medium according to claim 11, characterized in that it transmits an instruction for delaying to the business vehicle.   The command executed causes the transportation promotion system to present a preference menu of the designated application, which enables the user to input at least a part of the setting preference items of the business vehicle A non-transitory computer readable medium according to claim 11, wherein:   The said executed instructions further cause the transportation promotion system to determine the seat allocation in the business vehicle of the user based on at least a part of the comfort profile of the user. The non-transitory computer readable medium according to paragraph 11.   16. The non-transitory computer readable medium of claim 15, wherein the executed instructions further cause the transport facilitation system to communicate the seat assignment to the user device.   16. The apparatus according to claim 15, wherein the executed instruction causes the transportation promotion system to further select a route to the boarding place of the business vehicle based on the seat allocation of the user. Non-transitory computer readable medium.   The command executed may further inform the user that the transportation promotion system further can not use one or more mechanisms for executing the user's comfort profile in the selected business vehicle The non-transitory computer readable medium according to claim 11, characterized by   The non-transitory computer readable medium according to claim 11, wherein the business vehicle is an autonomous vehicle. A vehicle,
Wireless communication interface,
A plurality of adjustable components that affect the seat or environment of the vehicle;
A controller for controlling the setting of the adjustable component;
Equipped with
The controller receives a set of instructions from the network service via a wireless communication interface, and while the vehicle is moving, adjusting one or more settings of the component according to the set of instructions A vehicle that autonomously executes a comfort profile for one seat of at least one passenger area of the vehicle. A transportation promotion system,
With one or more processors,
Said transport promotion system, when executed by said one or more processors,
From the requesting user's mobile computing device, receive a request that is a dispatch request, including the boarding location,
The autonomous vehicle (AV) providing the service related to the dispatch request is selected based on the riding location,
Receiving and analyzing accelerometer data and position data from the mobile computing device in response to receiving the dispatch request;
A series of user attributes of the requesting user are determined based on the accelerometer data and the position data, and a series of seat adjustments regarding the selected AV seat is determined based on the determined series of user attributes;
The selected AV is sent a series of configuration instructions based on the series of seat adjustments, and the selected AV is sent to the series of user attributes of the requesting user before arriving at the boarding place. Configure the seat based on
One or more memory resources that store instructions;
A system characterized by comprising.   The executed command causes the transportation promotion system to analyze the accelerometer data and the position data (i) to identify the stride of the requesting user, and (ii) the height of the requesting user based on the stride. The transportation promotion system according to claim 21, characterized in that:   The executed command causes the transport facilitation system to further analyze the accelerometer data and the position data to determine the length of the user's femur based on the stride, the series of seats 23. The system of claim 22, wherein the adjusting includes adjusting a length of a thigh based on a length of the femur of the user.   The executed command causes the transportation promotion system to analyze the accelerometer data and the position data (i) to determine the walking pattern of the requesting user, and (ii) the requesting user based on the walking pattern 22. The transportation promotion system according to claim 21, characterized in that the body shape of the body is estimated.   The transportation promotion system according to claim 24, wherein the series of seat adjustments include one of a relaxation setting or an upright setting based on the figure of the requesting user.   The series of seat adjustments include backrest angle, thigh length, anteroposterior position, headrest angle, headrest height, waist setting, seat depth, seat height, upper seat tilt angle, and shoulder support setting 22. The transportation promotion system according to claim 21, comprising two or more of them. The executed instruction is further sent to the transportation promotion system.
The adjustment data is received from the selected AV, the data corresponding to a series of subsequent seat adjustments made by the user on the way to the getting-off place,
22. The transportation promotion system according to claim 21, wherein the comfort profile of the requesting user is generated and stored based on the adjustment data. A mobile computing device,
Display screen,
A Global Positioning System (GPS) unit,
An inertial measurement unit,
With one or more processors,
A designated application for transport services, when executed by the one or more processors, on the mobile computing device;
Causing the display screen to generate a user interface for the transportation service;
Receiving user input indicating a transportation request from a requesting user of the mobile computing device via the user interface;
In response to the user input, a dispatch request is transmitted to the back end transport promotion system to enable selection of an autonomous vehicle (AV) that provides a service related to the dispatch request,
Analyzing the accelerometer data from the inertial measurement unit and the position data from the GPS unit,
Determining a series of user attributes of the requesting user based on the accelerometer data and the position data;
Having the back-end transport promotion system send the set of user attributes and allow the AV seat to be automatically configured for the requesting user.
One or more memory resources to store the application,
An apparatus characterized in that it comprises:   Execution of the designated application causes the mobile computing device to further analyze the accelerometer data and the position data to (i) identify the stride of the requesting user, and (ii) based on the stride. The mobile computing device according to claim 28, characterized in that the height of the requesting user is estimated to be included in the series of user attributes.   Execution of the designated application causes the mobile computing device to further analyze the accelerometer data and the position data, and based on the stride, a length of a femur of the requesting user, the series of The mobile computing device according to claim 29, characterized in that it determines the length of the femur included in the user attribute. A computer implemented method of determining user attributes for configuring an autonomous vehicle (AV), executed by one or more processors,
Analyzing accelerometer data from the mobile computing device;
Analyzing location data from the mobile computing device;
Determining a series of physical user attributes of a user of the mobile computing device based on the accelerometer data and the position data;
A method characterized in that it comprises.   Analyzing the accelerometer data and the position data comprises determining a stride of the user, the series of physical user attributes comprising an estimated height of the user based on the stride. 32. The method of claim 31, wherein:   33. The method of claim 32, wherein the set of physical user attributes comprises an estimated femur length of the user based on the stride length.   Analyzing the accelerometer data and the position data includes determining a gait pattern of the requesting user, wherein the series of physical user attributes include a figure of the user based on the gait pattern. 32. The method of claim 31, characterized in that:   32. The method of claim 31, performed by the mobile computing device. Generating a user interface for a transportation service on a display screen of the mobile computing device;
Receiving user input to request transportation of the user via the user interface;
Sending a dispatch request to the back end transport promotion system in response to the user input to enable selection of an autonomous vehicle (AV) to provide a service related to the dispatch request;
Sending the set of physical user attributes to the back end transport facilitation system to enable automatic configuration of the AV seat for the requesting user;
36. The method of claim 35, further comprising:   Executed by a back-end transportation promotion system that receives the accelerometer data and the position data from the mobile computing device in response to receiving a dispatch request from the mobile computing device, A method according to item 31. The allocation request includes the boarding position,
Selecting an autonomous vehicle (AV) that provides a service related to the dispatch request based on the riding position;
Determining a series of seat adjustments for the selected AV seat based on the determined series of physical user attributes;
Based on the series of seat adjustments, a series of configuration instructions are transmitted to the selected AV, and the series of user attributes of the requesting user is sent to the selected AV before arriving at the boarding place. Configuring the seat based on:
The method according to claim 37, further comprising:   The series of seat adjustments include backrest angle, thigh length, anteroposterior position, headrest angle, headrest height, waist setting, seat depth, seat height, upper seat tilt angle, and shoulder support setting 39. A method according to claim 38, characterized in that it comprises two or more of them. Receiving, from the selected AV, adjustment data corresponding to a series of subsequent seat adjustments made by the user on the way to the alighting place;
Generating and storing a comfort profile of the user based on the adjustment data;
39. The method of claim 38, further comprising: It is an autonomous vehicle (AV),
A communication array for communicating with the back-end transportation promotion system,
Configurable internal system,
A sensor array for generating sensor data corresponding to the context of the AV;
Acceleration, steering and braking systems,
A control system, in which
Receive a boarding place from the transportation promotion system of the bank end to provide a service related to a dispatch request from a requesting user,
Processing the sensor data to dynamically identify potential hazards along the current route to the boarding location;
Using the processed sensor data to autonomously control the acceleration, steering and braking system along the current route,
Receiving from the back-end transportation promotion system a series of configuration instructions for configuring one or more adjustable components of the configurable internal system based on the client's comfort preferences;
Determining an optimal timing schedule for executing each of the series of configuration instructions;
Based on the optimal timing schedule, the series of configuration instructions are executed to configure the one or more adjustable components of the configurable internal system before arriving at the ride location.
A system that executes instructions,
An AV characterized by having.     That the one or more adjustable components include at least one of the AV adjustable seat, the adjustable window, the air conditioning system, the one or more displays, the internal lighting, and the audio system 42. An AV according to claim 41, characterized in that.   The executed instructions further causing the control system to classify each of the one or more adjustable components into (i) immediate execution, or (ii) execution at optimal timing. 43. The AV of claim 42.   44. The AV of claim 43, wherein the adjustable components classified as performing at optimal timing include the air conditioning system.   The series of configuration instructions includes a preferred air conditioning setting of the AV, and the executed instruction is based on the control system (i) determining a travel time to the boarding place, (ii) the air conditioning setting. Determining the time frame for adjusting the internal temperature of the AV, and (iii) setting the execution time of the air conditioning system of the configurable internal system based on the travel time and the time frame, 45. The AV of claim 44, wherein the optimal timing schedule of the preferred air conditioning settings is determined.   45. The AV of claim 43, wherein the adjustable components classified as immediate acting include adjustable seat components.   The AV according to claim 42, wherein the executed command causes the control system to further monitor the position of the requesting user in the AV after the requesting user has got on the boarding place. .   48. The AV of claim 47, wherein the executed command causes the control system to dynamically adjust an air conditioning focus of the air conditioning system based on the location of the requesting user.   48. The AV of claim 47, wherein the executed instructions cause the control system to further dynamically adjust the audio focus of the audio system based on the location of the requesting user.   The executed instructions may cause the control system to dynamically adjust the audio focus by adjusting at least one of balance or fade of the audio system based on the location of the requesting user. 50. An AV according to claim 49, characterized in that. A non-transitory computer readable medium storing instructions, said instructions being executed by a control system of an autonomous vehicle (AV), said control system comprising:
Receive the boarding place from the back-end transportation promotion system in order to provide a service related to the dispatch request from the requesting user,
Processing sensor data from the AV sensor array to dynamically identify potential hazards along the current route to the boarding location;
Using the processed sensor data to autonomously control the acceleration, steering and braking systems of the AV along the current route,
Receiving from the back end transportation promotion system a series of configuration instructions to configure one or more adjustable components of the configurable system of the AV based on the comfort preferences of the requesting user ,
Determining an optimal timing schedule for executing each of the series of configuration instructions;
Based on the optimal timing schedule, the series of configuration instructions are executed to configure the one or more adjustable components of the configurable internal system before arriving at the ride location.
A medium characterized by   That the one or more adjustable components include at least one of the AV adjustable seat, the adjustable window, the air conditioning system, the one or more displays, the internal lighting, and the audio system 52. A non-transitory computer readable medium according to claim 51, characterized in that.   The executed instructions further causing the control system to classify each of the one or more adjustable components into (i) immediate execution, or (ii) execution at optimal timing. 53. The non-transitory computer readable medium of claim 52.   54. The non-transitory computer readable medium according to claim 53, wherein the adjustable component classified as performing at optimal timing comprises the air conditioning system.   The series of configuration instructions includes a preferred air conditioning setting of the AV, and the executed instruction causes the control system to (i) determine a travel time to the boarding location, (ii) based on the air conditioning setting, The determination of the time frame for adjusting the internal temperature of the AV, and (iii) setting the execution time of the air conditioning system of the configurable internal system based on the travel time and the time frame 55. The non-transitory computer readable medium according to claim 54, characterized in that it allows an optimal timing schedule of air conditioning settings to be determined.   The method according to claim 52, wherein the executed command causes the control system to further monitor the position of the requesting user in the AV after getting the requesting user on the boarding place. Temporary computer readable medium.   57. The non-transitory according to claim 56, wherein the executed command further causes the control system to dynamically adjust the air conditioning focus of the air conditioning system based on the position of the requesting user. Computer readable medium.   57. A non-transitory according to claim 56, characterized in that said executed instructions further cause said control system to dynamically adjust the audio focus of said audio system based on the position of said requesting user. Computer readable medium. A computer implemented method of configuring an internal system of an autonomous vehicle (AV), which is executed by a control system of the AV,
Receiving the boarding location from the back end transportation promotion system to provide a service related to the dispatch request from the requesting user;
Processing sensor data from the AV sensor array to dynamically identify potential hazards along a current route to the boarding location;
Autonomously controlling the acceleration, steering and braking system of the AV along the current route using the processed sensor data;
Receiving from the back end transportation promotion system a series of configuration instructions for configuring one or more adjustable components of the configurable system of the AV based on the comfort preferences of the requesting user Step and
Determining an optimal timing schedule for executing each of the series of configuration instructions;
Executing the sequence of configuration instructions based on the optimal timing schedule to configure the one or more adjustable components of the configurable internal system before arriving at the ride location;
A method characterized in that it comprises.

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