Information processing device, information processing method, information processing system, and program

Abstract

An information processing device (10) comprises: an acquisition means (11) which acquires information based on a sensor that measures information relating to a road; a generation means (12) which generates information indicating an accident status corresponding to a traffic accident pattern, on the basis of the information acquired by the acquisition means; and a transmission means (13) which transmits, to an insurer's device, the information indicating the accident status generated by the generation means.

Description

[Technical field]

[0001] The present disclosure relates to an information processing device, an information processing method, an information processing system, and a non-transitory computer-readable medium on which a program is stored. [Background technology]

[0002] Patent Document 1 discloses a technology for providing insurance companies with information such as the type of traffic accident, the degree of damage to the vehicle, and the degree of injury to the occupants. Patent Document 1 also describes the analysis of the type of traffic accident, such as a contact accident or a head-on collision accident, based on driving images captured by an exterior camera of the vehicle. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2020-091525 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 has a problem in that, for example, the information about traffic accidents provided to insurance companies may be insufficient, because the type of traffic accident, such as a collision accident or a head-on collision accident, is analyzed based on driving images captured by an exterior camera of the vehicle.

[0005] In consideration of the above-mentioned problems, an object of the present disclosure is to provide an information processing device, an information processing method, an information processing system, and a non-transitory computer-readable medium on which a program is stored, which are capable of appropriately providing information regarding traffic accidents. [Means for solving the problem]

[0006] In a first aspect of the present disclosure, an information processing device has an acquisition means for acquiring information based on a sensor that measures information related to a road, a generation means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquisition means, and a transmission means for transmitting the information indicating the accident situation generated by the generation means to an insurance company's device.

[0007] In addition, in a second aspect of the present disclosure, an information processing device acquires information based on a sensor that measures information related to the road, generates information indicating the accident situation according to the pattern of the traffic accident based on the acquired information, and transmits the generated information indicating the accident situation to an insurance company's device.

[0008] In addition, a third aspect of the present disclosure is an information processing system including an information processing device, a base station, and an insurance provider device, wherein the base station transmits information based on a sensor that measures information regarding roads, and the information processing device has an acquisition means for acquiring the information based on the sensor, a generation means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquisition means, and a transmission means for transmitting the information indicating the accident situation generated by the generation means to the insurance provider device.

[0009] In addition, in a fourth aspect of the present disclosure, a non-transitory computer-readable medium is provided that stores a program to cause an information processing device to execute the following processes: acquiring information based on a sensor that measures information related to a road; generating information indicating an accident situation according to a traffic accident pattern based on the acquired information; and transmitting the generated information indicating the accident situation to an insurance company's device. Effect of the Invention

[0010] According to one aspect, information regarding traffic accidents can be provided appropriately. [Brief description of the drawings]

[0011] [Figure 1]FIG. 1 is a diagram illustrating an example of a configuration of an information processing system according to an embodiment. [Diagram 2] 2 is a diagram illustrating an example of the hardware configuration of a server, an insurance business device, a traffic information providing device, a vehicle computer, a terminal, and a DB server according to the embodiment. FIG. [Diagram 3] FIG. 2 is a diagram illustrating an example of a configuration of a server according to an embodiment. [Figure 4] FIG. 11 is a sequence diagram showing an example of a process for recording traffic information in the information processing system according to the embodiment. [Diagram 5] 4 is a diagram illustrating an example of information recorded in a traffic information DB according to the embodiment. FIG. [Figure 6] 10 is a flowchart illustrating an example of a process for generating information indicating an accident situation according to a traffic accident pattern according to the embodiment. [Figure 7] 11 is a diagram illustrating an example of information recorded in a generation item DB according to the embodiment. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. <System configuration> 1 is a diagram showing a configuration example of an information processing system 1 according to an embodiment. In the following, an example in which a traffic information providing device 34 is attached to a pole (signal pole) on which a traffic signal 30 is attached will be described, but the technology of the present disclosure is not limited to this. For example, the traffic information providing device 34 may be attached to a pole on which a traffic signal 30 is not attached (for example, a pole on which a road sign or the like is attached, a street light, a utility pole, etc.). In this case, the traffic signal 30 and the signal control device 33 are not provided, and the traffic signal base station and the traffic signal sensor are respectively read as a "roadside base station" and a "roadside sensor", etc.

[0013] In FIG. 1, the information processing system 1 includes a server 10, an insurance business device 20, a traffic signal 30, a traffic signal base station 31, a traffic signal sensor 32, a traffic signal control device 33, and a traffic information providing device 34. The information processing system 1 also includes a vehicle 50A, a vehicle 50B, and a vehicle 50C (hereinafter, when there is no need to distinguish between them, they will be simply referred to as "vehicles 50"). The information processing system 1 also includes a terminal 60A, a terminal 60B, a terminal 60C, etc. (hereinafter, when there is no need to distinguish between them, they will be simply referred to as "terminals 60"), and a DB (database) server 70. Note that the number of the server 10, the insurance business device 20, the traffic signal 30, the traffic signal base station 31, the traffic signal sensor 32, the traffic signal control device 33, the traffic information providing device 34, the vehicle 50, the terminal 60, and the DB server 70 is not limited to the example of FIG. 1. Note that the server 10 is an example of an "information processing device".

[0014] The server 10, the insurance business device 20, the traffic information providing device 34, and the DB server 70 are connected to each other so as to be able to communicate with each other via a communication line N such as the Internet, a wireless LAN (Local Area Network), or a mobile phone network.

[0015] The traffic signal 30, the traffic signal base station 31, the traffic signal sensor 32, the traffic signal control device 33, and the traffic information providing device 34 are connected so as to be able to communicate with each other via various signal cables or wireless communication.

[0016] The traffic signal 30 is, for example, a traffic signal installed on a signal pole at a road intersection or the like, and controls the traffic of vehicles 50 and pedestrians by displaying green, yellow, red, arrows, etc. The traffic signal 30 includes a traffic signal for vehicles and a traffic signal for pedestrians.

[0017] The traffic light base station 31 is a base station installed on a traffic light pole. Note that the term "base station" (BS) used in this disclosure refers to a device that can provide or host a cell or coverage over which a vehicle 50 or a terminal 60 can wirelessly communicate. Examples of the signal base station 31 include a gNB (NR Node B), a Node B (Node B or NB), an Evolved Node B (eNodeB or eNB), etc. Examples of the signal base station 31 also include a remote radio unit (RRU), a radio head (RH), a remote radio head (RRH), and a low power node (e.g., a femto node, a pico node), etc.

[0018] The wireless communication described in the present disclosure may conform to standards such as 5G (5th generation mobile communication system, NR: New Radio), 4G (4th generation mobile communication system), and 3G (3rd generation mobile communication system). Note that 4G may include, for example, LTE (Long Term Evolution) Advanced, WiMAX2, and LTE. The wireless communication described in the present disclosure may conform to standards such as Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Global System for Mobile (GSM), and Wireless Local Area Network (LAN). The wireless communication of the present disclosure may be performed according to any generation of wireless communication protocol currently known or developed in the future.

[0019] The traffic light sensor 32 is a sensor installed on a traffic light pole and measures various information related to the road. The traffic light sensor 32 may be, for example, a camera, a LiDAR (Light Detection and Ranging, Laser Imaging Detection and Ranging), a RADAR (radio detection and ranging), or other sensor. The traffic light sensor 32 may detect, for example, the position and speed of the vehicle 50, a pedestrian, or the like.

[0020] The signal controller 33 is installed on a signal pole and controls the traffic signal 30. The signal controller 33 controls the display of red, green, yellow, etc. of the traffic signal 30 based on, for example, the traffic conditions detected by the traffic signal sensor 32, instructions from a traffic management center, or preset data, etc.

[0021] The traffic information providing device 34 generates information (traffic information) about the traffic around the traffic signal 30 based on information acquired from the traffic signal sensor 32, the signal control device 33, etc. Then, the traffic information providing device 34 transmits (provides, notifies) the generated traffic information to external devices such as the vehicle 50, the terminal 60, and the DB server 70 via the traffic signal base station 31.

[0022] The vehicle 50 is a vehicle that travels on a road on which a traffic signal 30 is installed. The vehicle 50 performs wireless communication via the traffic signal base station 31 using a wireless communication device mounted on the vehicle 50. Examples of the vehicle 50 include, but are not limited to, an automobile, a motorcycle, a moped, and a bicycle.

[0023] The terminal 60 is a terminal carried by a user such as a pedestrian, and performs wireless communication via the traffic light base station 31. Examples of the terminal 60 include, but are not limited to, a smartphone, a user terminal (UE: User Equipment), a mobile phone, a cellular phone, a personal digital assistant (PDA: Personal Digital Assistant), a portable computer, a game device, a music storage and playback device, a wearable device, and the like.

[0024] The DB server 70 records the traffic information received from the traffic information providing device 34. The DB server 70 may be, for example, a server operated by a public institution. The server 10 generates information indicating an accident situation according to a traffic accident pattern (type) based on the traffic information provided by the traffic information providing device 34, and transmits the information to the insurance business device 20. The server 10 may be, for example, a server operated by a business partnered with an insurance business, or a server operated by the insurance business. The insurance business device 20 is a device such as a server or terminal of an insurance business with which the user of the vehicle 50 has an insurance contract.

[0025] <Hardware configuration> 2 is a diagram showing an example of the hardware configuration of the server 10, the insurance business device 20, the traffic information providing device 34, the computer of the vehicle 50, the terminal 60, and the DB server 70 according to the embodiment. In the following, the server 10 will be described as an example. Note that the hardware configurations of the insurance business device 20, the traffic information providing device 34, the computer of the vehicle 50, the terminal 60, and the DB server 70 may be the same as the hardware configuration of the server 10 in FIG. 2.

[0026] 2, the server 10 (computer 100) includes a processor 101, a memory 102, and a communication interface 103. These components may be connected by a bus or the like. The memory 102 stores at least a part of a program 104. The communication interface 103 includes an interface required for communication with other network elements.

[0027] When the program 104 is executed by the processor 101, memory 102, etc. in cooperation, the computer 100 performs at least some processing of the embodiments of the present disclosure. The memory 102 may be of any type suitable for a local technology network. The memory 102 may be, as a non-limiting example, a non-transitory computer-readable storage medium. The memory 102 may also be implemented using any suitable data storage technology, such as semiconductor-based memory devices, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory. Although only one memory 102 is shown in the computer 100, several physically different memory modules may be present in the computer 100. The processor 101 may be of any type. The processor 101 may include one or more of a general-purpose computer, a special-purpose computer, a microprocessor, a digital signal processor (DSP), and a processor based on a multi-core processor architecture, as a non-limiting example. The computer 100 may have multiple processors, such as application-specific integrated circuit chips that are time-slaved to a clock that synchronizes the main processor.

[0028] The embodiments of the present disclosure may be implemented in hardware or special purpose circuits, software, logic, or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that may be executed by a controller, microprocessor or other computing device.

[0029] The present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, that execute on a target real or virtual processor device to perform the processes or methods of the present disclosure. Program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The functionality of the program modules may be combined or split between program modules as desired in various embodiments. The machine-executable instructions of the program modules may be executed in local or distributed devices. In a distributed device, the program modules may be located in both local and remote storage media.

[0030] The program codes for carrying out the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes are provided to a processor or controller of a general purpose computer, a special purpose computer, or other programmable data processing apparatus. When the program codes are executed by the processor or controller, the functions / operations in the flowcharts and / or the block diagrams they implement are performed. The program codes are executed entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine, or entirely on a remote machine or server.

[0031] The program can be stored and provided to the computer using various types of non-transitory computer-readable media. The non-transitory computer-readable media include various types of tangible recording media. Examples of the non-transitory computer-readable media include magnetic recording media, magneto-optical recording media, optical disk media, semiconductor memories, and the like. The magnetic recording media include, for example, flexible disks, magnetic tapes, hard disk drives, and the like. The magneto-optical recording media include, for example, magneto-optical disks, and the like. The optical disk media include, for example, Blu-ray disks, CD (Compact Disc)-ROM (Read Only Memory), CD-R (Recordable), CD-RW (ReWritable), and the like. The semiconductor memory includes, for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (random access memory), and the like. The program may also be provided to the computer by various types of temporary computer-readable media. Examples of the temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path.

[0032] <Configuration> Next, the configuration of the server 10 according to the embodiment will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the server 10 according to the embodiment. The server 10 has an acquisition unit 11, a generation unit 12, and a transmission unit 13. Each of these units may be realized by cooperation between one or more programs installed in the server 10 and hardware such as a processor 101 and a memory 102 of the server 10.

[0033] The acquisition unit 11 acquires information based on the traffic light sensor 32 via the traffic light base station 31 and the DB server 70. The generation unit 12 generates information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquisition unit 11. The transmission unit 13 transmits the information indicating the accident situation generated by the generation unit 12 to the insurance business device 20.

[0034] <Processing> <<Traffic information recording process>> An example of a process for recording traffic information in the information processing system 1 according to the embodiment will be described with reference to Fig. 4 and Fig. 5. Fig. 4 is a sequence diagram showing an example of a process for recording traffic information in the information processing system 1 according to the embodiment. Fig. 5 is a diagram explaining an example of information recorded in the traffic information DB 701 according to the embodiment.

[0035] In step S101, the traffic information providing device 34 generates information (traffic information) about the traffic around the traffic signal 30 based on information acquired from the traffic light base station 31, the traffic light sensor 32, the traffic light control device 33, the vehicle 50, etc. Then, the traffic information providing device 34 notifies the vehicle 50, etc. of at least a part of the traffic information via the traffic light base station 31 (step S102). Here, when there is an obstacle such as a collapse in the road or an object fallen on the road, the traffic information providing device 34 may notify the vehicle 50 of information indicating the position and size of the obstacle, for example.

[0036] Further, the traffic information providing device 34 may notify the vehicle 50 of, for example, information (hereinafter also referred to as "blind spot information") on objects in positions that are blind spots for each vehicle 50 (hereinafter also referred to simply as "blind spot positions") as appropriate. The blind spot positions may include positions that are blind spots from the perspective of the user of the vehicle 50 due to, for example, walls, vehicles waiting to turn right in the oncoming lane, oncoming vehicles, and following vehicles. The blind spot information may include, for example, an image (moving image or still image) of the blind spot position, the position and speed of objects (e.g., pedestrians, other vehicles) in the blind spot position, and the like. Note that, when an object such as a pedestrian or another vehicle is present in the blind spot position of the vehicle 50, the traffic information providing device 34 may notify the vehicle 50 of information indicating that (an alarm regarding the blind spot position).

[0037] The traffic information providing device 34 may also notify the vehicle 50 of, for example, the display content of the traffic signal 30 and information on the remaining time until the signal changes. Similarly, the traffic information providing device 34 may notify at least a part of the traffic information to the terminal 60 of the pedestrian.

[0038] Next, the vehicle 50 notifies the user of the vehicle 50 of the notified traffic information (step S103). Here, the vehicle 50 may notify the user of the traffic information by displaying the traffic information on a car navigation screen or the like, and by voice, for example.

[0039] Next, the acquisition unit 11 of the server 10 acquires at least a part of the traffic information generated by the traffic information providing device 34 via the traffic light base station 31 (step S104). Here, the server 10 may acquire the traffic information via the DB server 70, for example. Also, the server 10 may acquire the traffic information from the traffic information providing device 34 without via the DB server 70.

[0040] Next, the generating unit 12 of the server 10 records the received traffic information in the traffic information DB 501 of the server 10 (step S105). In the example of FIG. 5, the traffic information DB 501 records the traffic information in association with a traffic signal ID and a time. The traffic signal ID is identification information of the traffic signal 30. The time is a time related to the traffic information. The time may be, for example, the time when the traffic information was generated by the traffic information providing device 34. The traffic information includes traffic signal base station data, traffic signal sensor data, signal control data, traffic notification data, and vehicle data.

[0041] The traffic light base station data is information acquired from the traffic light base station 31. The traffic light base station data includes, for example, identification information and location information of each device (e.g., the vehicle 50 and the terminal 60) that is within range (location registration) of the traffic light base station 31. The traffic light base station 31 may acquire, for example, information on the current location of each device from each device. In this case, each device such as the vehicle 50 and the terminal 60 may measure the current location using a satellite positioning system such as a GPS (Global Positioning System, Global Positioning Satellite). Also, each device such as the vehicle 50 and the terminal 60 may measure the current location based on radio waves received from the traffic light base station 31.

[0042] The traffic light sensor data is information generated based on the traffic light sensor 32. The traffic light sensor data may include, for example, various types of information measured by the traffic light sensor 32 based on images or the like.

[0043] The traffic light sensor data may include, for example, information on the traffic volume (e.g., the number of vehicles 50 passing per unit time) for each lane of the road (hereinafter, simply referred to as "road") on which the traffic light 30 controls traffic, and the traffic volume for each traveling direction on the road. The traffic light sensor data may also include, for example, information on the number of vehicles 50 waiting to turn right on the road, the type of each vehicle 50 that has passed the road (e.g., the type of car, etc.), and the speed and acceleration of each vehicle 50 that has passed the road for each lane and traveling direction.

[0044] The traffic light sensor data may also include information such as the position, direction of travel, speed, and vehicle registration number of each vehicle 50 traveling on the road. The traffic light sensor data may also include information on the number of vehicles 50 waiting for a traffic light to turn green (vehicles 50 waiting for the traffic light to turn green) for each lane of the road and the queue length of the vehicles 50 waiting for a traffic light to turn green. The traffic light sensor data may also include information on the number of pedestrians waiting to cross the road, the number of pedestrians crossing the road, and the speed of each pedestrian crossing the road.

[0045] The traffic light sensor data may also include information indicating the position and size of obstacles such as road collapses and objects fallen on the road. The traffic light sensor data may also include video captured by the camera of the traffic light sensor 32. The traffic light sensor data may also include information such as the amount of rainfall and the amount of snowfall measured by the weather sensor of the traffic light sensor 32.

[0046] The signal control data is information acquired from the signal control device 33, and may include, for example, information on the display content of the signal and the remaining time until the signal changes.

[0047] The traffic notification data is information indicating traffic information notified from the traffic information providing device 34 to the vehicle 50, etc. The traffic notification data may include notification content and information indicating whether the notification was successful or not. Note that, when notifying the vehicle 50, etc. of the traffic information in the process of step S102, the traffic information providing device 34 may determine that the notification was successful if it receives a response from the vehicle 50, etc. indicating successful reception.

[0048] The vehicle data is, for example, various data related to the vehicle 50 acquired from each vehicle 50 via the traffic light base station 31 or the like. The vehicle data may include, for example, identification information of the vehicle 50, information indicating the version of the program for automatic driving of the vehicle 50, and information indicating the driving mode of the vehicle 50. In this case, the driving mode of the vehicle 50 may include, for example, information indicating whether the vehicle 50 is currently being driven automatically or is being manually driven by the user. In addition, the driving mode of the vehicle 50 may include information on the time when the vehicle 50 requested the user to intervene (switch to manual driving).

[0049] Note that the vehicle 50 may transmit vehicle data to the traffic information providing device 34 via the traffic light base station 31 when the vehicle 50 is present (location registered) in the cell of the traffic light base station 31. Also, the vehicle 50 may transmit vehicle data to the traffic information providing device 34 via the traffic light base station 31 at a predetermined timing, such as periodically, while the vehicle 50 is present in the cell of the traffic light base station 31. Also, the vehicle 50 may transmit vehicle data to the traffic information providing device 34 via the traffic light base station 31 when an impact equal to or greater than a threshold is detected by an acceleration sensor or the like.

[0050] Next, the generating unit 12 of the server 10 generates information indicating the accident situation according to the traffic accident pattern based on the information recorded in the traffic information DB 501, etc. (Step S106). Here, the traffic accident pattern may include, for example, vehicle-to-vehicle, vehicle-to-bicycle, vehicle-to-pedestrian, etc. The server 10 may generate the information indicating the accident situation in a data format, for example, JSON (JavaScript (registered trademark) Object Notation) format, key-value format, etc.

[0051] Next, the transmission unit 13 of the server 10 transmits information indicating the accident situation to the insurance business device 20 (step S107). This allows the insurance business to create a report on the traffic accident involving the user of the vehicle 50 who is the policyholder. The insurance business can also estimate the proportion of fault of the user of the vehicle 50 in the traffic accident.

[0052] <<Processing for generating information showing accident circumstances according to traffic accident patterns>> Next, an example of a process for generating information indicating an accident situation according to a traffic accident pattern in step S106 of Fig. 4 will be described with reference to Fig. 6 and Fig. 7. Fig. 6 is a flowchart showing an example of a process for generating information indicating an accident situation according to a traffic accident pattern according to the embodiment. Fig. 7 is a diagram explaining an example of information recorded in the generated item DB 701 according to the embodiment.

[0053] In step S201, the server 10 determines a pattern of traffic accidents involving the vehicle 50. Here, the server 10 may determine one or more patterns of traffic accidents based on information specified by an insurance company, for example. In this case, the server 10 may receive information indicating a pattern of traffic accidents input by an operator of the insurance company or the like based on a hearing from a user of the vehicle 50 or the like from the insurance company device 20. In addition, the server 10 may determine (estimate, infer) a pattern of traffic accidents by AI (Artificial Intelligence) using deep learning or the like, based on an image or the like measured by a traffic light sensor 32, for example.

[0054] Next, the server 10 determines the items of information to be generated (items to be generated) according to the traffic accident pattern based on the generation item DB 701 (step S202). In the example of FIG. 7, the generation item DB 701 records one or more items of information to be generated in association with the traffic accident pattern. The server 10 determines the items associated with the generation item DB 701 as the items of information to be generated for each of the one or more patterns identified in step S201. In the example of FIG. 7, when the traffic accident pattern matches pattern A and pattern B, the server 10 determines item A1, item A2, ..., and item B as the items of information to be generated.

[0055] Next, the server 10 generates information of the items determined in step S202 based on the traffic information provided by the traffic information providing device 34 (step S203). In the case of a traffic accident occurring when the vehicle 50 changes its traveling direction (for example, turns right and left), the server 10 may determine, as an item to be generated, information indicating whether or not the vehicle 50 has been notified of blind spot information and a warning regarding the blind spot position from the traffic light base station 31. In this case, the server 10 may determine that the blind spot information and the like has been notified to the vehicle 50 (the notification has been successful) only when, for example, the traffic information providing device 34 transmits information such as the blind spot information and receives an acknowledgment (ACK, acknowledgement) in response thereto from the vehicle 50. As a result, for example, an insurance company can estimate that the user of the vehicle 50 is relatively at fault when a traffic accident occurs despite the blind spot information and a warning regarding the blind spot position being notified to the vehicle 50.

[0056] Furthermore, in the case of a traffic accident between a vehicle and a pedestrian, the server 10 may determine, as an item to be generated, information indicating the number of terminals 60 present in the range of the traffic light base station 31 when the traffic accident occurred. This allows, for example, the insurance company to estimate that the negligence of the user of the vehicle 50 is relatively large (or small) in a situation where a large number of pedestrians, etc. are present in an area that cannot be measured by the traffic light sensor 32 due to an event or the like.

[0057] Furthermore, in the case of a traffic accident between a vehicle and a pedestrian, the server 10 may determine, as an item to be generated, information indicating whether or not the pedestrian was walking on a pedestrian crossing. In this case, the server 10 may determine, using AI or the like, whether or not the pedestrian was walking on a pedestrian crossing based on a moving image captured by the traffic light sensor 32. As a result, for example, the insurance company can estimate that the negligence of the user of the vehicle 50 is relatively small when the pedestrian was not walking on a pedestrian crossing.

[0058] Furthermore, in the case of a traffic accident between a vehicle and a bicycle, the server 10 may determine information indicating the number of people riding on the bicycle as an item to be generated. In this case, the server 10 may determine the number of people riding on the bicycle using AI or the like based on video images captured by the traffic light sensor 32. This allows, for example, the insurance company to estimate that the negligence of the user of the vehicle 50 is relatively small when the number of people riding on the bicycle is equal to or greater than a threshold value.

[0059] Furthermore, when a vehicle enters an intersection when the traffic signal 30 is red, the server 10 may generate information indicating the accident situation based on information from a traffic signal sensor associated with another traffic signal associated with the traffic signal 30. In this case, the server 10 may determine the traveling speed of the vehicle 50 and whether or not the vehicle 50 has ignored a traffic signal based on an image of the previous intersection on the road on which the vehicle 50 has traveled, as the other traffic signal. As a result, for example, an insurance company can estimate that the user of the vehicle 50 is relatively at fault when a traffic accident occurs because the vehicle 50 continues to exceed the speed limit or ignore a traffic signal from the previous intersection.

[0060] Furthermore, in the case of a traffic accident involving a vehicle 50 in automatic driving, the server 10 may determine information indicating the version of the program for automatic driving of the vehicle 50 as an item to be generated. This allows, for example, the insurance company to estimate that the negligence of the user of the vehicle 50 is relatively large when the program for automatic driving of the vehicle 50 has not been properly updated. Also, for example, in the case of a program for automatic driving of the vehicle 50 being a predetermined version, the insurance company can estimate that the negligence of the user of the vehicle 50 is relatively small because the manufacturer of the vehicle 50 is also negligent.

[0061] Furthermore, in the case of a traffic accident involving a vehicle 50 capable of autonomous driving (e.g., autonomous driving of level 3 or higher), the server 10 may determine, as an item to be generated, information indicating whether the vehicle 50 was autonomous at the time of the traffic accident. This allows, for example, an insurance company to estimate that the fault of the user of the vehicle 50 is relatively small (e.g., no fault) if the vehicle 50 was autonomous at the time of the traffic accident.

[0062] Furthermore, in the case of a traffic accident involving a vehicle 50 capable of automated driving (e.g., automated driving of level 3 or higher), the server 10 may determine, as an item to be generated, information on the time at which the vehicle 50 requested the user to intervene (switch to manual driving). This allows, for example, an insurance company to estimate that the user's negligence is relatively small (e.g., no negligence) when a traffic accident occurs within a predetermined time (e.g., 3 seconds) after the user requests to switch from automated driving such as level 3 to manual driving.

[0063] <Modification> Each functional unit of the server 10 (e.g., the generation unit 12) may be realized by cloud computing configured by one or more computers. The server 10 and the DB server 70 may be configured as an integrated server. The server 10 and the insurance business device 20 may be configured as an integrated server. The server 10 and the traffic information providing device 34 may be configured as an integrated server (device).

[0064] The present invention is not limited to the above-described embodiment, and can be modified as appropriate without departing from the spirit and scope of the present invention.

[0065] A part or all of the above-described embodiments can be described as, but is not limited to, the following supplementary notes. (Appendix 1) An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an insurance company's device. (Appendix 2) The acquisition means includes: acquiring information based on the sensor, the information being transmitted via a base station installed in correspondence with the sensor; 2. An information processing device according to claim 1. (Appendix 3) The generating means includes: In the case of a traffic accident occurring when a vehicle changes direction, information indicating whether or not information regarding an object in a blind spot of the vehicle has been notified to the vehicle is included in the information indicating the accident situation. 3. The information processing device according to claim 1 or 2. (Appendix 4) The generating means includes: In the case of a traffic accident between a vehicle and a pedestrian, information indicating the number of terminals present in the range of a base station installed in correspondence with the sensor is included in the information indicating the accident situation. 4. The information processing device according to claim 1 . (Appendix 5) The generating means includes: generating information indicating the accident situation based on information from a sensor associated with a second traffic signal associated with the first traffic signal when a vehicle enters the intersection while a first traffic signal is red; 5. An information processing device according to any one of claims 1 to 4. (Appendix 6) The generating means includes: In the case of a traffic accident involving an autonomous vehicle, information indicating the version of the autonomous driving program of the vehicle is included in the information indicating the accident situation. 6. An information processing device according to any one of claims 1 to 5. (Appendix 7) The generating means includes: In the case of a traffic accident involving a vehicle capable of autonomous driving, at least one of information indicating whether the vehicle was autonomous at the time of the traffic accident and information regarding the time when the vehicle requested intervention from the user is included in the information indicating the accident situation. 7. An information processing device according to any one of claims 1 to 6. (Appendix 8) An information processing device, Acquire information based on sensors that measure information about roads; Based on the acquired information, information showing the accident situation according to the traffic accident pattern is generated; Transmitting the generated information indicating the accident situation to an insurance company's device; Information processing methods. (Appendix 9) An information processing system including an information processing device, a base station, and an insurance carrier device, The base station transmits information based on a sensor that measures information related to a road; The information processing device includes: an acquisition means for acquiring information based on the sensor; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; A transmission means for transmitting the information indicating the accident situation generated by the generation means to the insurance business device. Information processing system. (Appendix 10) The acquisition means includes: acquiring information based on the sensor, the information being transmitted via a base station installed in correspondence with the sensor; 10. The information processing system according to claim 9. (Appendix 11) In the information processing device, obtaining information based on sensors that measure information about the road; A process of generating information indicating an accident situation according to a traffic accident pattern based on the acquired information; A process of transmitting the generated information indicating the accident situation to an insurance company's device; A non-transitory computer-readable medium having stored thereon a program for executing the program. [Explanation of symbols]

[0066] 1. Information Processing Systems 10 Server 11 Acquisition Department 12 Generation part 13 Transmitter 20 Insurance company equipment 30 Traffic lights 31 Traffic light base station 32 Traffic light sensor 33 Signal Control Device 34 Traffic information provision device 50 vehicles 60 terminals

Claims

1. An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an apparatus of an insurance company, The acquisition means includes: acquiring information based on the sensor, the information being transmitted via a base station installed in correspondence with the sensor; Information processing device.

2. An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an apparatus of an insurance company, The generating means includes: In the case of a traffic accident occurring when a vehicle changes direction, information indicating whether or not information regarding an object in a blind spot of the vehicle has been notified to the vehicle is included in the information indicating the accident situation. Information processing device.

3. An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an apparatus of an insurance company, The generating means includes: In the case of a traffic accident between a vehicle and a pedestrian, information indicating the number of terminals present in the range of a base station installed in correspondence with the sensor is included in the information indicating the accident situation. Information processing device.

4. An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an apparatus of an insurance company, The generating means includes: generating information indicating the accident situation based on information from a sensor associated with a second traffic signal associated with the first traffic signal when a vehicle enters the intersection while a first traffic signal is red; Information processing device.

5. An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an apparatus of an insurance company, The generating means includes: In the case of a traffic accident involving a vehicle in autonomous driving, information indicating the version of the autonomous driving program of the vehicle is included in the information indicating the accident situation. Information processing device.

6. An acquisition means for acquiring information based on a sensor that measures information related to a road; a generating means for generating information indicating an accident situation according to a traffic accident pattern based on the information acquired by the acquiring means; a transmission means for transmitting the information indicating the accident situation generated by the generation means to an apparatus of an insurance company, The generating means includes: In the case of a traffic accident involving a vehicle capable of autonomous driving, at least one of information indicating whether the vehicle was autonomous at the time of the traffic accident and information regarding the time when the vehicle requested intervention from the user is included in the information indicating the accident situation. Information processing device.

7. An information processing device according to any one of claims 1 to 6, which executes processing by each of the means. Information processing methods.

8. An information processing system including the information processing device, a base station, and an insurance carrier device according to any one of claims 1 to 6, The base station transmits information based on a sensor that measures information about a road. Information processing system.

9. A program that causes a computer to execute processing by each means of an information processing device described in any one of claims 1 to 6.

Images