JP2024079193A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

The present invention provides an information processing device, an information processing method, and an information processing program that can assist in preventing accidents caused by dangerous driving such as reckless driving.
The information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires sensor information, which is information detected by a sensor mounted on a mobile device carried by a vehicle occupant. The determination unit determines dangerous driving by the occupant based on the sensor information acquired by the acquisition unit.
[Selected Figure] Figure 4

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, there are known technologies for preventing accidents caused by dangerous driving such as reckless driving. For example, Patent Document 1 proposes a runaway prevention system that has a switch that is positioned to come into contact with the pedal arm when the accelerator pedal is depressed to the effective maximum value range, and a runaway prevention device that controls a driving force control device and a brake control device based on the output of the switch.

JP 2021-041893 A

However, the above conventional technology requires additional parts such as switches and anti-runaway devices to be installed in the vehicle, and there is an issue that such technology is not easy to introduce.

The present application has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can help prevent accidents caused by dangerous driving, such as reckless driving, without forcing the user U to install additional parts, such as switches or anti-reckless driving devices, in the vehicle.

The information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires sensor information, which is information detected by a sensor mounted on a mobile device carried by a vehicle occupant. The determination unit determines dangerous driving by the occupant based on the sensor information acquired by the acquisition unit.

According to one aspect of the embodiment, it is possible to help prevent accidents caused by dangerous driving such as reckless driving without forcing the user U to install additional parts such as switches or anti-runaway devices on the vehicle.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of the mobile terminal according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. FIG. 5 is a diagram illustrating an example of an occupant information table stored in the occupant information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a user information table stored in a user information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of identification and control of a control target in the control device according to the embodiment. FIG. 8 is a flowchart illustrating an example of information processing by the processing unit of the information processing device according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device according to the embodiment.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. Furthermore, the embodiments can be appropriately combined as long as they do not cause inconsistencies in the processing content. Furthermore, the same parts in the following embodiments will be given the same reference numerals, and duplicated explanations will be omitted.

[1. An example of information processing]
First, an example of information processing according to the embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of information processing according to the embodiment, which is executed by an information processing device 1.

The information processing device 1 shown in FIG. 1 provides various services via a network such as the Internet. For example, the information processing device 1 provides an accident prevention support service that supports the prevention of accidents caused by dangerous driving such as reckless driving.

As shown in FIG. 1, the information processing device 1 acquires sensor information, which is information detected by sensors mounted on a mobile terminal 2 carried by an occupant O of a vehicle 3 (step S1). The sensors mounted on the mobile terminal 2 include, for example, a positioning sensor (position sensor), an acceleration sensor, a gyro sensor, and an image sensor. The mobile terminal 2 transmits information detected by each sensor mounted on the mobile terminal 2 to the information processing device 1 as sensor information.

Then, the information processing device 1 judges dangerous driving by the occupant O based on the sensor information acquired in step S1 (step S2). Dangerous driving includes, for example, reckless driving, meandering driving, wrong-way driving, sudden acceleration, sudden deceleration, and abrupt steering. Reckless driving is driving the vehicle 3 at a speed that exceeds the speed limit of the roadway, meandering driving is driving that causes the vehicle 3 to meander on the roadway, and wrong-way driving is driving the vehicle 3 in the opposite direction to the direction specified on the roadway.

In step S2, the information processing device 1 identifies, for example, the roadway or lane on which the vehicle 3 is traveling from the position information transmitted from the mobile terminal 2. The information processing device 1 also identifies, for example, the speed and acceleration of the vehicle 3 from the position information or acceleration information transmitted from the mobile terminal 2.

Then, the information processing device 1 determines whether the driving of the vehicle 3 is reckless driving by comparing the speed limit stipulated for the identified roadway or lane with the identified speed of the vehicle 3. For example, the information processing device 1 determines that the driving of the vehicle 3 is reckless driving when the speed of the vehicle 3 exceeds the speed limit for a predetermined period of time or more.

In addition, the information processing device 1 determines that the vehicle 3 is being driven recklessly when the vehicle 3 is accelerating or decelerating suddenly. For example, based on the acceleration information transmitted from the mobile terminal 2, the information processing device 1 can determine that the vehicle 3 is accelerating suddenly when the positive acceleration of the vehicle 3 continues for a predetermined time or more, and can determine that the vehicle 3 is decelerating suddenly when the negative acceleration of the vehicle 3 continues for a predetermined time or more.

In addition, the information processing device 1 identifies the left-right acceleration of the vehicle 3 from, for example, acceleration information transmitted from the mobile terminal 2, and determines whether the vehicle 3 is meandering based on the identified left-right acceleration of the vehicle 3 and the identified speed of the vehicle 3. The information processing device 1 can also determine whether the vehicle 3 is meandering based on, for example, a change in the position of the identified vehicle 3.

The information processing device 1 can also, for example, identify the acceleration of the vehicle 3 to the left or right from acceleration information transmitted from the mobile terminal 2, and determine whether or not abrupt steering has occurred based on the identified acceleration of the vehicle 3 to the left or right. The information processing device 1 can determine that abrupt steering has occurred when the acceleration of the identified movement of the vehicle 3 to the left or right continues for a predetermined period of time or more. If the information processing device 1 determines that abrupt steering has occurred, it can determine that the driving of the vehicle 3 is reckless driving.

In addition, the information processing device 1 determines whether the driving of the vehicle 3 is wrong-way driving based on the direction specified by the identified roadway or lane and the identified speed of the vehicle 3. For example, the information processing device 1 determines that the driving of the vehicle 3 is wrong-way driving when the vehicle 3 is traveling in the opposite direction to the direction specified by the identified roadway or lane.

The information processing device 1 can also determine dangerous driving using a learning model that takes sensor information as input and outputs a dangerous driving score indicating the degree of dangerous driving. The learning model is generated, for example, by machine learning using learning data including sensor information and information indicating the driving state. The information indicating the driving state is information indicating whether or not the vehicle is driving recklessly, information indicating whether or not the vehicle is driving in a swerving manner, information indicating whether or not the vehicle is driving the wrong way, etc.

Next, if the information processing device 1 determines in step S2 that the occupant O is engaged in dangerous driving, the information processing device 1 issues a notification corresponding to the dangerous driving determined in step S2 to a notification target (step S3). The notification target is, for example, a traffic-related device.

The traffic-related devices are devices related to traffic around the vehicle 3, such as the control device 4 that controls the traffic lights 5 and electronic traffic signs 6, and other vehicles other than the vehicle 3. The traffic lights 5 are traffic lights that emit signals indicating permission to proceed, an instruction to stop, and the like. A signal indicating permission to proceed is, for example, a green light, and a signal indicating an instruction to stop is, for example, a yellow light or a red light. The traffic lights 5 can also emit signals indicating an arrow. A signal indicating an arrow is a signal indicating permission to proceed in the direction of the arrow. The traffic lights 5 change the signals they emit under the control of the control device 4.

The electronic traffic sign 6 includes a display, such as an LED (Light-Emitting Diode) display for displaying traffic signs, and changes the traffic signs displayed under control from the control device 4. Traffic signs displayed by the electronic traffic sign 6 include, for example, no entry, one-way street, no right turns, no U-turns, etc., but are not limited to these examples.

The information processing device 1 issues a notification in response to dangerous driving to the control device 4 that controls the traffic light 5 at the destination of the vehicle 3. For example, the information processing device 1 notifies the control device 4 of dangerous driving information including information identifying the vehicle 3 in a state of dangerous driving (e.g., vehicle type and license plate number), information indicating the traveling position and traveling direction of the vehicle 3 in a state of dangerous driving, and information indicating the type of dangerous driving. The types of dangerous driving include, for example, reckless driving, snaking driving, driving the wrong way, sudden acceleration, sudden deceleration, and abrupt steering.

The control device 4 controls at least one of the traffic lights 5 and the electronic traffic signs 6 based on the dangerous driving information notified by the information processing device 1. For example, when the type of dangerous driving indicated by the dangerous driving information is reckless driving or meandering driving, and the signal of the target traffic light, which is the traffic light 5 ahead of the vehicle 3 in the state of reckless driving or meandering driving, indicates permission to proceed, the control device 4 maintains the signal of the target traffic light as a signal indicating permission to proceed.

In addition, when the signal of the target signal, which is a traffic light 5 at the destination of the vehicle 3 that is driving recklessly or meandering, is a signal indicating a stop command, the control device 4 changes the signal of the target signal to a signal indicating permission to proceed, and changes the signal of the traffic light 5 that restricts or permits the entry of the vehicle 3 that is driving on a road that intersects with the road on which the vehicle 3 that is driving recklessly or meandering is driving into an intersection to a signal indicating a stop command.

The control device 4 also changes the display of the electronic traffic sign 6 at the entrance to the roadway leading to the road or lane ahead of the vehicle 3 that is driving recklessly or meandering, to a no entry display.

In addition, when the type of dangerous driving indicated by the dangerous driving information is wrong-way driving, if the signal of the target traffic light, which is a traffic light 5 ahead of the vehicle 3 in the wrong-way driving state, indicates permission to proceed, the control device 4 maintains the signal of the target traffic light as a signal indicating permission to proceed.

In addition, when the signal of the target signal, which is the traffic light 5 at the destination of the vehicle 3 in the wrong-way driving state, is a signal indicating a stop command, the control device 4 changes the signal of the target signal to a signal indicating permission to proceed, and changes the signal of the traffic light 5, which restricts or permits the entry of the vehicle 3 traveling on a road that intersects with the road on which the vehicle 3 in the wrong-way driving state is traveling, to a signal indicating a stop command.

In addition, when the type of dangerous driving indicated by the dangerous driving information is wrong-way driving and the lane in which the vehicle 3 in the wrong-way driving state is traveling is one of multiple lanes of the roadway, the control device 4 can change the direction of travel indicated by the display of the electronic traffic sign 6 ahead of the vehicle 3 in the wrong-way driving state to the opposite direction.

In addition, the information processing device 1 can also notify other vehicles around the vehicle 3 determined to be in a state of dangerous driving in step S2 in response to the dangerous driving determined in step S2. For example, the information processing device 1 notifies the other vehicles in response to the dangerous driving by transmitting dangerous driving information to the other vehicles that are the notification targets.

The dangerous driving information transmitted to other vehicles that are the subject of notification includes, for example, information identifying the vehicle 3 that is in a state of dangerous driving, information indicating the type of dangerous driving, and information indicating the state of dangerous driving. The state of dangerous driving includes the driving position, driving direction, and driving speed of the vehicle 3 that is determined to be in a state of dangerous driving in step S2. The dangerous driving information may also include the dangerous driving score described above.

The on-board device of the other vehicle that is the subject of the notification displays the dangerous driving information acquired from the information processing device 1, or performs a display based on the dangerous driving information. For example, the on-board device of the other vehicle that is the subject of the notification can display on a map, as a display based on the dangerous driving information, information indicating the driving position of the vehicle 3 that was determined to be in a dangerous driving state in step S2, information indicating the type of dangerous driving, etc.

In addition, the information processing device 1 issues a notification in response to the dangerous driving determined in step S2 to the driver of the vehicle in a dangerous driving state, which is the vehicle 3 determined to be in a dangerous driving state in step S2, the driver's family, or pedestrians present around the vehicle in a dangerous driving state.

For example, the information processing device 1 can transmit dangerous driving information to the mobile device 2 of the driver of the vehicle in a dangerous driving state, the mobile device 7 of the driver's family member, or the mobile device 7 of a pedestrian present around the vehicle in a dangerous driving state as notification target terminals. The notification target terminals can display the dangerous driving information acquired from the information processing device 1, or perform displays based on the dangerous driving information, just like the in-vehicle devices of other vehicles that are notification targets. The dangerous driving information transmitted to the mobile device 7 of the driver's family member includes, for example, in addition to the above-mentioned information, information such as the driver of the vehicle 3 engaged in dangerous driving (e.g., name, age).

In addition, the information processing device 1 can notify one or more of an insurance company, a police station, and a fire station that compensates for losses caused by an accident involving a vehicle in a dangerous driving state. For example, the information processing device 1 can transmit dangerous driving information to one or more of an insurance company, a police station, and a fire station as notification targets.

In this way, the information processing device 1 acquires sensor information, which is information detected by a sensor mounted on the mobile terminal 2 carried by the occupant O of the vehicle 3, and determines dangerous driving by the occupant O based on the sensor information, and issues a notification according to the determined dangerous driving. In this way, the information processing device 1 can help prevent accidents caused by dangerous driving such as reckless driving, without forcing the user U to install additional parts such as switches or anti-reckless driving devices to the vehicle 3.

The following provides a detailed explanation of the configuration of an information processing system that includes an information processing device 1 and a mobile terminal 2 that perform such processing.

2. Configuration of Information Processing System
Next, FIG. 2 is a diagram showing an example of the configuration of an information processing system including the information processing device 1 according to the embodiment.

FIG. 2 is a diagram showing an example of the configuration of an information processing system according to an embodiment. As shown in FIG. 2, the information processing system 100 according to an embodiment includes an information processing device 1, a plurality of mobile terminals 2, a plurality of vehicles 3, a control device 4, a plurality of traffic lights 5, a plurality of electronic traffic signs 6, and a plurality of mobile terminals 7.

The information processing device 1 provides an accident prevention support service. The information processing device 1 can also provide various online services such as a web search service, a schedule management service, a route guidance service, a route information service, a video distribution service, a music distribution service, a map information service, and an e-commerce service.

Each of the multiple mobile terminals 2 is used by a different occupant O. Each of the multiple mobile terminals 7 is used, for example, by a different user U. The mobile terminals 2 are, for example, a smartphone, a tablet terminal, or a wearable device. Each of the multiple mobile terminals 7 is, for example, a smartphone, a tablet terminal, a notebook PC, a desktop PC, a wearable device, and is used by a different user U (for example, a family member of the occupant O or a pedestrian).

The information processing device 1, the mobile terminal 2, the vehicle 3, the control device 4, the mobile terminal 7, the insurance company device 50, the police station device 51, and the fire station device 52 are each connected to each other via the network N so as to be able to communicate with each other by wire or wirelessly. The insurance company device 50 is, for example, a terminal device of the insurance company, the police station device 51 is, for example, a terminal device of the police station, and the fire station device 52 is, for example, a terminal device of the fire station.

The information processing system 100 shown in FIG. 2 may include multiple information processing devices 1. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Each mobile terminal 2, 7 and each vehicle 3 can connect to the network N via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system), or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN, and communicate with the information processing device 1.

3. Mobile terminal 2
Fig. 3 is a diagram showing an example of a configuration of the mobile terminal 2 according to the embodiment. As shown in Fig. 3, the mobile terminal 2 according to the embodiment includes a communication unit 10, a display unit 11, an operation unit 12, a sensor group 13, a storage unit 14, and a processing unit 15.

3.1. Communication unit 10
The communication unit 10 is realized by, for example, a network interface card (NIC), etc. The communication unit 10 is connected to a network N by wire or wirelessly, and transmits and receives information to and from the information processing device 1 via the network N.

[3.2. Display unit 11
The display unit 11 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display.

[3.3. Operation unit 12
The operation unit 12 includes, for example, a keyboard including keys for inputting letters, numbers, and spaces, an enter key, arrow keys, etc., a mouse, a power button, etc. In the case where the display unit 11 is a touch panel compatible display, The operation unit 12 includes a touch panel.

3.4. Sensor Group 13
The sensor group 13 includes, for example, a positioning sensor, an acceleration sensor, a gyro sensor, a geomagnetic sensor, and an image sensor. The positioning sensor is a position sensor that detects the position of the portable terminal 2. The positioning sensor receives a plurality of positioning signals transmitted from a plurality of satellites, detects the current position of the portable terminal 2 based on the received plurality of positioning signals, and outputs position information indicating the detected position of the portable terminal 2 as sensor information.

The location information is, for example, information indicating the latitude and longitude of the mobile terminal 2. The satellite is a positioning satellite of the GNSS (Global Navigation Satellite System) such as a GPS (Global Positioning System) receiver or Galileo. The positioning sensor can also output positioning information including the multiple positioning signals it receives as sensor information.

The acceleration sensor is a sensor that detects acceleration applied to the portable terminal 2, and outputs acceleration information indicating the detected acceleration applied to the portable terminal 2 as sensor information. The gyro sensor is a sensor that detects the attitude, such as the tilt and rotation, of the portable terminal 2, and outputs attitude information indicating the detected attitude, such as the tilt and rotation, of the portable terminal 2 as sensor information. The image sensor is a sensor that captures an image of the surroundings of the portable terminal 2, and outputs image information indicating the captured image of the surroundings of the portable terminal 2 as sensor information.

[3.5. Storage unit 14
The storage unit 14 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

The memory unit 14 stores, for example, information transmitted from the information processing device 1 and acquired by the processing unit 15 via the network N and the communication unit 10, and sensor information, which is information detected by the sensor group 13.

3.6. Processing Unit 15
The processing unit 15 is a controller, and is realized, for example, by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) executing various programs stored in a storage device inside the mobile terminal 2 using the RAM as a working area.

The processing unit 15 may be realized in part or in whole by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The processing unit 15 includes an information acquisition unit 16, a display processing unit 17, and an information output unit 18.

For example, an application program for an accident prevention support service (hereinafter, sometimes referred to as an accident prevention support app) is installed on the mobile terminal 2, and the processing unit 15 functions as an information acquisition unit 16, a display processing unit 17, an information output unit 18, and the like, by means of the accident prevention support app.

[3.6.1. Information Acquisition Unit 16
The information acquisition unit 16 acquires various pieces of information transmitted from the information processing device 1 and received by the communication unit 10 via the network N. The information transmitted from the information processing device 1 to the mobile terminal 2 is, for example, The information acquisition unit 16 repeatedly acquires sensor information from the sensor group 13, which is information detected by the sensor group 13.

[3.6.2. Display Processing Unit 17]
The display processing unit 17 causes the display unit 11 to display the information acquired by the information acquisition unit 16. For example, the display processing unit 17 causes the display unit 11 to display the information acquired by the information acquisition unit 16. For example, the display processing unit 17 causes the display unit 11 to display dangerous driving information acquired by the information acquisition unit 16, etc.

[3.6.3. Information output unit 18]
The information output unit 18 transmits, for example, operation information corresponding to an operation on the operation unit 12 by the user U to the information processing device 1 via the communication unit 10. In addition, the information output unit 18 repeatedly transmits the sensor information repeatedly acquired by the information acquisition unit 16 to the information processing device 1 via the communication unit 10.

4. Configuration of information processing device 1
4 is a diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in FIG. 4, the information processing device 1 includes a communication unit 20, a storage unit 21, and a processing unit 22.

4.1. Communication unit 20
The communication unit 20 is realized by, for example, a NIC. The communication unit 20 is connected to a network N by wire or wirelessly, and transmits and receives information to and from various other devices. For example, the communication unit 20 transmits and receives information to and from each of the mobile terminal 2, the vehicle 3, the control device 4, the mobile terminal 7, the insurance company device 50, the police station device 51, and the fire station device 52 via the network N.

[4.2. Storage unit 21
The storage unit 21 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 21 includes an occupant information storage unit 30, a user information storage unit 31, and has.

4.2.1. Occupant information storage unit 30
The occupant information storage unit 30 stores various information related to the occupant O. Fig. 5 is a diagram showing an example of an occupant information table stored in the occupant information storage unit 30 according to the embodiment.

In the example shown in FIG. 5, the occupant information table stored in the occupant information storage unit 30 includes information on items such as "occupant ID (identifier)," "attribute information," "terminal information," "sensor information history," and "setting information."

"Occupant ID" is an identifier that identifies an occupant O of the vehicle 3, and is information that is assigned to each occupant O. "Attribute information" is attribute information that indicates the attributes of the occupant O associated with the "occupant ID." The attributes of the occupant O are, for example, demographic attributes, psychographic attributes, etc. Demographic attributes are demographic attributes, and include multiple attribute items such as age, gender, occupation, place of residence, annual income, and family structure.

Psychographic attributes are psychological attributes and include, for example, multiple attribute items related to lifestyle, values, interests, etc. For example, each of the multiple attribute items in the psychographic attributes is an object of interest to occupant O, such as cars, clothes, travel, games, camping, motorcycles, trains, home appliances, or computers.

"Terminal information" is information about the mobile device 2 of the occupant O associated with the "occupant ID", and includes, for example, information indicating the type of the mobile device 2 of the occupant O, identification information of the mobile device 2 of the occupant O, and an account for an accident prevention app. "Sensor information history" is a history of sensor information transmitted from the mobile device 2 of the occupant O associated with the "occupant ID" to the information processing device 1, and is information detected by one or more sensors included in the sensor group 13 of the mobile device 2.

"Insurance company information" is information about the insurance company that sold the automobile insurance for the vehicle 3 to which the occupant O associated with the "occupant ID" has subscribed, and includes, for example, information about the destination address of the dangerous driving information.

The "setting information" includes information set by the occupant O associated with the "occupant ID" as a destination of the dangerous driving information. The occupant O associated with the "occupant ID" can operate the mobile terminal 2 to set the family member of the occupant O associated with the "occupant ID" as a destination of the dangerous driving information.

The family settings are, for example, settings such as information on the destination to which dangerous driving information is sent to the family. The destination information is, for example, the telephone number or email address of the mobile terminal 7 owned by the family member, or an account installed on the mobile terminal 7 owned by the family member and set up in the accident prevention app.

[4.2.2. User information storage unit 31
The user information storage unit 31 stores various types of information related to the user U. Fig. 6 is a diagram showing an example of a user information table stored in the user information storage unit 31 according to the embodiment.

In the example shown in FIG. 6, the user information table stored in the user information storage unit 31 includes information on items such as "user ID," "attribute information," "terminal information," and "setting information." The "user ID" is an identifier that identifies a user U, and is information assigned to each user U.

"Attribute information" is attribute information indicating the attributes of user U associated with the "user ID", and is similar information to the attribute information indicating the attributes of user U. "Terminal information" is information on user U's mobile terminal 7 associated with the "user ID", and includes, for example, information indicating the type of user U's mobile terminal 7, identification information of user U's mobile terminal 7, etc.

The "setting information" is information set by the user U associated with the "user ID," and includes, for example, information indicating the type of information that the user U wishes to be notified of.

4.3. Processing section 22
The processing unit 22 is a controller, and is realized by a processor such as a CPU or an MPU, which executes various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area. The processing unit 22 may be realized in part or in whole by an integrated circuit such as an ASIC, an FPGA, or a GPGPU.

As shown in FIG. 4, the processing unit 22 has an acquisition unit 40, a determination unit 41, and a notification unit 42, and realizes or executes the functions and actions of the information processing described below. Note that the internal configuration of the processing unit 22 is not limited to the configuration shown in FIG. 4, and may be other configurations as long as they perform the information processing described below.

[4.3.1. Acquisition unit 40
The acquisition unit 40 acquires various information from external information processing devices, the mobile terminals 2 and 7, the vehicle 3, and the like via the communication unit 20, and stores the acquired information in the memory unit 21.

The acquisition unit 40 acquires occupant information, which is information about the occupant O, from, for example, an external information processing device or a mobile terminal 2 via the communication unit 20, and adds the acquired occupant information to an occupant information table stored in the occupant information storage unit 30. The occupant information is, for example, attribute information, terminal information, setting information, etc.

The acquisition unit 40 also acquires sensor information, which is information detected by a sensor mounted on the mobile terminal 2 carried by the occupant O of the vehicle 3. The acquisition unit 40 adds the acquired sensor information to an occupant information table stored in the occupant information storage unit 30.

The acquisition unit 40 can also acquire, for example, information detected by a sensor (e.g., an image sensor) installed around the roadway as sensor information, or information detected by a sensor (e.g., an image sensor) mounted on an in-vehicle device (e.g., a drive recorder) of the vehicle 3 as sensor information.

For example, the acquisition unit 40 acquires user information, which is information about the user U, from an external information processing device or a mobile terminal 7, etc., via the communication unit 20, and adds the acquired user information to the user information table in the user information storage unit 31. The user information is, for example, attribute information, terminal information, and setting information.

The acquisition unit 40 also acquires various types of information from the storage unit 21. For example, the acquisition unit 40 acquires various types of information related to the occupant O from the occupant information storage unit 30, etc. The information related to the occupant O acquired by the acquisition unit 40 includes, for example, a part or all of at least one of the above-mentioned attribute information, terminal information, sensor information, and setting information.

The acquisition unit 40 also acquires various pieces of information related to the user U from the user information storage unit 31 and the like. The various pieces of information related to the user U acquired by the acquisition unit 40 include, for example, part or all of at least one of the above-mentioned attribute information, terminal information, and setting information.

[4.3.2. Determination unit 41
The determination unit 41 determines dangerous driving by the occupant O based on the sensor information acquired by the acquisition unit 40. Examples of dangerous driving include reckless driving, meandering driving, driving the wrong way, sudden acceleration, sudden deceleration, and sudden Reckless driving is driving the vehicle 3 at a speed exceeding the speed limit of the roadway, meandering driving is driving the vehicle 3 in a meandering manner on the roadway, and wrong-way driving is driving the vehicle 3 against a specified speed limit on the roadway. The vehicle 3 is driven in the opposite direction to the direction in which the vehicle 3 was driven.

For example, the determination unit 41 identifies the roadway or lane on which the vehicle 3 is traveling from the position information transmitted from the mobile terminal 2. The determination unit 41 also identifies the speed and acceleration of the vehicle 3 from the position information or acceleration information transmitted from the mobile terminal 2.

Then, the determination unit 41 determines whether the driving of the vehicle 3 is reckless driving by comparing the speed limit stipulated for the identified roadway or lane with the identified speed of the vehicle 3. For example, the determination unit 41 determines that the driving of the vehicle 3 is reckless driving when the speed of the vehicle 3 exceeds the speed limit for a predetermined period of time or more.

The determination unit 41 can also determine that the vehicle 3 is being driven recklessly if the vehicle 3 is accelerating or decelerating suddenly. For example, based on the acceleration information transmitted from the mobile device 2 and acquired by the acquisition unit 40, the determination unit 41 can determine that the vehicle 3 is accelerating suddenly if the positive acceleration of the vehicle 3 continues for a predetermined time or longer, and can determine that the vehicle 3 is decelerating suddenly if the negative acceleration of the vehicle 3 continues for a predetermined time or longer.

The determination unit 41 also identifies the left-right acceleration of the vehicle 3 from, for example, acceleration information transmitted from the mobile terminal 2, and determines whether the vehicle 3 is meandering based on the identified left-right acceleration of the vehicle 3 and the identified speed of the vehicle 3. The determination unit 41 can also determine whether the vehicle 3 is meandering based on, for example, a change in the position of the identified vehicle 3.

The determination unit 41 can also, for example, identify the acceleration of the vehicle 3 to the left or right from acceleration information transmitted from the mobile terminal 2, and determine whether or not abrupt steering has occurred based on the identified acceleration of the vehicle 3 to the left or right. The determination unit 41 can determine that abrupt steering has occurred when the acceleration of the identified movement of the vehicle 3 to the left or right continues for a predetermined period of time or more. If the determination unit 41 determines that abrupt steering has occurred, it can determine that the driving of the vehicle 3 is reckless driving.

The determination unit 41 also determines whether the vehicle 3 is being driven in the wrong direction based on the direction specified by the identified roadway or lane and the identified speed of the vehicle 3. For example, the determination unit 41 determines that the vehicle 3 is being driven in the wrong direction when the vehicle 3 is traveling in the opposite direction to the direction specified by the identified roadway or lane.

The determination unit 41 can also determine dangerous driving using a learning model that receives sensor information as input and outputs a dangerous driving score indicating the degree of dangerous driving. The learning model is generated, for example, by machine learning using learning data including sensor information and information indicating the driving state. The information indicating the driving state is information indicating whether or not the vehicle is driving recklessly, information indicating whether or not the vehicle is driving in a swerving manner, information indicating whether or not the vehicle is driving the wrong way, etc.

The dangerous driving score may be an overall score or a score for each type of dangerous driving. When the dangerous driving score is a score for each type of dangerous driving, the determination unit 41 can determine that there is a type of dangerous driving for which the score output from the learning model is equal to or greater than a threshold value.

For example, assume that the types of dangerous driving are reckless driving, meandering driving, and wrong-way driving. In this case, the determination unit 41 determines that the driving is reckless if the score for reckless driving is equal to or greater than a threshold, determines that the driving is meandering if the score for meandering driving is equal to or greater than a threshold, and determines that the driving is wrong-way if the score for wrong-way driving is equal to or greater than a threshold.

The determination unit 41 can also determine the possibility of an accident occurring by using a learning model that receives sensor information as input and outputs an accident occurrence score for each accident cause. The learning model is generated, for example, by machine learning using learning data that includes sensor information obtained during a predetermined period and information indicating whether or not an accident occurred during the predetermined period for each type of accident cause.

The types of accident causes are, for example, a first accident caused by being unable to make a turn due to speeding, a second accident caused by entering an intersection when the light is red, or a third accident caused by a collision with an oncoming vehicle due to driving the wrong way. In this case, the determination unit 41 obtains the accident occurrence scores for each of the first accident, second accident, and third accident from the learning model.

The determination unit 41 can also determine the possibility of an accident occurring using a learning model that receives sensor information as input and outputs an accident occurrence score for each type of accident. The learning model is generated, for example, by machine learning using learning data that includes sensor information obtained during a predetermined period and information indicating whether or not an accident has occurred during the predetermined period for each type of accident.

The type of accident may be, for example, a property damage accident, a personal injury accident, etc. In this case, the determination unit 41 determines that it is a property damage accident if the score of the property damage accident is equal to or greater than a threshold, and determines that it is a personal injury accident if the score of the personal injury accident is equal to or greater than a threshold.

[4.3.3. Notification unit 42
The notification unit 42 issues a notification according to the dangerous driving determined by the determination unit 41. The notification target of the notification unit 42 is, for example, a traffic-related device. The devices in the vehicle 3 include, for example, a control device 4 that controls a traffic light 5 and an electronic traffic sign 6, and other vehicles different from the vehicle 3.

The notification unit 42 issues a notification in response to dangerous driving to the control device 4 that controls the traffic light 5 at the destination of the vehicle 3. For example, the notification unit 42 notifies the control device 4 of dangerous driving information including information that identifies the vehicle 3 in a state of dangerous driving (e.g., vehicle type and license plate number), information indicating the traveling position and traveling direction of the vehicle 3 in a state of dangerous driving, and information indicating the type of dangerous driving. The types of dangerous driving include, for example, reckless driving, snaking driving, driving the wrong way, sudden acceleration, sudden deceleration, and abrupt steering.

The control device 4 controls at least one of the traffic lights 5 and the electronic traffic signs 6 based on the dangerous driving information notified by the notification unit 42. For example, when the type of dangerous driving indicated by the dangerous driving information is reckless driving or meandering driving, and the signal of the target traffic light, which is the traffic light 5 ahead of the vehicle 3 in the state of reckless driving or meandering driving, indicates permission to proceed, the control device 4 maintains the signal of the target traffic light as a signal indicating permission to proceed.

In addition, when the signal of the target signal, which is a traffic light 5 at the destination of the vehicle 3 that is driving recklessly or meandering, is a signal indicating a stop command, the control device 4 changes the signal of the target signal to a signal indicating permission to proceed, and changes the signal of the traffic light 5 that restricts or permits the entry of the vehicle 3 that is driving on a road that intersects with the road on which the vehicle 3 that is driving recklessly or meandering is driving into an intersection to a signal indicating a stop command.

The control device 4 also changes the display of the electronic traffic sign 6 at the entrance to the roadway leading to the road or lane ahead of the vehicle 3 that is driving recklessly or meandering, to a no entry display.

In addition, when the type of dangerous driving indicated by the dangerous driving information is wrong-way driving, if the signal of the target traffic light, which is a traffic light 5 ahead of the vehicle 3 in the wrong-way driving state, indicates permission to proceed, the control device 4 maintains the signal of the target traffic light as a signal indicating permission to proceed.

In addition, when the type of dangerous driving indicated by the dangerous driving information is wrong-way driving and the lane in which the vehicle 3 in the wrong-way driving state is traveling is one of multiple lanes of the roadway, the control device 4 can change the direction of travel indicated by the display of the electronic traffic sign 6 ahead of the vehicle 3 in the wrong-way driving state to the opposite direction.

In addition, when the signal of the target signal, which is the traffic light 5 at the destination of the vehicle 3 in the wrong-way driving state, is a signal indicating a stop command, the control device 4 changes the signal of the target signal to a signal indicating permission to proceed, and changes the signal of the traffic light 5, which restricts or permits the entry of the vehicle 3 traveling on a road that intersects with the road on which the vehicle 3 in the wrong-way driving state is traveling, to a signal indicating a stop command.

The notification unit 42 can also provide notifications in response to the dangerous driving determined by the determination unit 41 to other vehicles around the vehicle 3 determined by the determination unit 41 to be in a state of dangerous driving as notification targets. For example, the notification unit 42 provides notifications in response to the dangerous driving to the other vehicles as notification targets by transmitting dangerous driving information to the other vehicles as notification targets.

The dangerous driving information transmitted to other vehicles that are the subject of notification includes, for example, information identifying the vehicle 3 in a state of dangerous driving, information indicating the type of dangerous driving, and information indicating the state of dangerous driving. The state of dangerous driving includes the driving position, driving direction, and driving speed of the vehicle 3 that is determined by the determination unit 41 to be in a state of dangerous driving. The dangerous driving information may also include a dangerous driving score and an accident occurrence score determined by the determination unit 41. The notification unit 42 can notify information including the dangerous driving score and the accident occurrence score as a notification corresponding to the dangerous driving.

The on-board device of the other vehicle that is the subject of the notification displays the dangerous driving information acquired from the notification unit 42, or performs a display based on the dangerous driving information. For example, the on-board device of the other vehicle that is the subject of the notification can display on a map, as a display based on the dangerous driving information, information indicating the driving position of the vehicle 3 that is determined by the determination unit 41 to be in a state of dangerous driving, information indicating the type of dangerous driving, etc.

Figure 7 is a diagram showing an example of identification and control of a control target in the control device 4 according to the embodiment. As shown in Figure 7, the control device 4 issues a notification in response to dangerous driving to traffic-related devices around the vehicle 3 (3A) that has been determined by the determination unit 41 to be in a state of reckless driving.

In the example shown in FIG. 7, traffic-related devices around vehicle 3 (3A) notify control device 4 (4A) and vehicles 3 (B3) and 3 (3C) of dangerous driving. Control device 4 (4A) is a device that controls traffic lights 5 (5A), 5 (5B), 5 (5C), and 5 (5D) and electronic traffic signs 6 (6A) and 6 (6B) around vehicle 3 (3A). In the example shown in FIG. 7, the dangerous driving of vehicle 3 (3A) is reckless driving.

When the signal of traffic light 5 (5A) is a signal allowing passage, control device 4 (4A) maintains the signal of traffic light 5 (5A) as a signal allowing passage, and when the signal of traffic light 5 (5A) is a signal instructing to stop, control device 4 (4A) changes the signal of traffic light 5 (5A) to a signal allowing passage.

In addition, when the signals of the traffic lights 5 (5B), 5 (5C), and 5 (5D) are stop signals, the control device 4 (4A) maintains the signals of the traffic lights 5 (5B), 5 (5C), and 5 (5D) as stop signals, and when the signals of the traffic lights 5 (5B), 5 (5C), and 5 (5D) are proceeding permission signals, the control device 4 (4A) changes the signal of the traffic light 5 (5A) to a stop signal.

The control device 4 (4A) also controls the display of the electronic traffic signs 6 (6A) and 6 (6B) to display "No entry." The control device 4 (4A) can also set the signal of the traffic light 5 (5B) to the same state as the traffic light 5 (5A).

The notification unit 42 also issues notifications in response to the dangerous driving determined by the determination unit 41 to the driver of the vehicle in a dangerous driving state, which is the vehicle 3 determined by the determination unit 41 to be in a dangerous driving state, the driver's family, or pedestrians present around the vehicle in a dangerous driving state.

For example, the notification unit 42 can transmit dangerous driving information to the mobile device 2 of the driver of the vehicle in a dangerous driving state, the mobile device 7 of a family member of the driver, or the mobile device 7 of a pedestrian present around the vehicle in a dangerous driving state as notification target terminals. The above-mentioned accident prevention support app is installed in the notification target terminal, and, like the in-vehicle device of the other vehicle that is the notification target, it can display the dangerous driving information obtained from the notification unit 42 or perform a display based on the dangerous driving information.

The dangerous driving information sent to the mobile device 7 of the driver's family member includes, for example, in addition to the information described above, information about the driver of the vehicle 3 engaged in dangerous driving (e.g., name, age, etc.). The dangerous driving information sent to the mobile device 7 of the driver's family member is sent to an accident prevention support app installed on the mobile device 7 of the driver's family member, but may also be sent by email, for example.

In addition, the processing unit 15 of the driver's mobile terminal 2 can also output an alarm sound (alert) when, for example, dangerous driving information is received from the notification unit 42. This can make the driver of the vehicle 3 that has been determined to be driving abnormally by the determination unit 41 aware of the dangerous driving.

The notification unit 42 can also notify one or more of an insurance company, a police station, and a fire station that compensate for losses caused by an accident involving a vehicle in a dangerous driving state. For example, the notification unit 42 can transmit dangerous driving information to one or more of an insurance company, a police station, and a fire station. Such dangerous driving information includes, for example, information that identifies a vehicle in a dangerous driving state.

The notification unit 42 can also include in the dangerous driving information the accident occurrence score for each type of accident and the accident occurrence score for each cause of accident obtained by the determination unit 41. The notification unit 42 can also include in the dangerous driving information the score for each type of dangerous driving obtained by the determination unit 41.

The notification unit 42 can also provide different notifications depending on the type of dangerous driving. As described above, the notification unit 42 provides different notifications depending on the type of dangerous driving, for example, by including information indicating the type of dangerous driving in the dangerous driving information.

The notification unit 42 can also change the notification target depending on the type of dangerous driving, for example. For example, when the dangerous driving is swerving, the notification unit 42 can notify vehicles around the vehicle in the dangerous driving state of dangerous driving information, and not notify the control device 4 that controls the traffic lights 5 and electronic traffic signs 6 around the vehicle in the dangerous driving state of the dangerous driving information.

In addition, when the dangerous driving is reckless driving or wrong-way driving, the notification unit 42 notifies the dangerous driving information to vehicles around the vehicle in the dangerous driving state and to the control device 4 that controls the traffic lights 5 and electronic traffic signs 6 around the vehicle in the dangerous driving state.

The notification unit 42 can also change the range of notification targets depending on the type of dangerous driving. For example, when the dangerous driving is reckless driving, the notification unit 42 notifies the dangerous driving information to vehicles in front of the dangerous driving vehicle and within a predetermined first range from the dangerous driving vehicle.

In addition, when the dangerous driving is wrong-way driving, the notification unit 42 notifies a vehicle ahead of the dangerous driving state vehicle and within a predetermined second range from the dangerous driving state vehicle of the dangerous driving information.In addition, when the dangerous driving is meandering driving, the notification unit 42 notifies a vehicle ahead of the dangerous driving state vehicle and within a predetermined third range from the dangerous driving state vehicle of the dangerous driving information.The first range, second range, and third range are different ranges from each other, and for example, the relationship is second range > first range > third range, but is not limited to such an example.

5. Processing Procedure
Next, a procedure of information processing by the processing unit 22 of the information processing device 1 according to the embodiment will be described. Fig. 8 is a flowchart showing an example of information processing by the processing unit 22 of the information processing device 1 according to the embodiment.

As shown in FIG. 8, the processing unit 22 of the information processing device 1 determines whether or not sensor information transmitted from the mobile terminal 2 or the like has been acquired (step S10). When the processing unit 22 determines that the sensor information has been acquired (step S10: Yes), the processing unit 22 stores the acquired sensor information in the storage unit 21 (step S11).

When the processing of step S11 is completed or when it is determined that the sensor information has not been acquired (step S10: No), the processing unit 22 determines whether or not a determination timing has arrived (step S12). The determination timing is, for example, a timing that occurs at every predetermined period, but is not limited to such an example.

When the processing unit 22 determines that the judgment timing has arrived (step S12: Yes), it performs dangerous driving judgment processing to judge dangerous driving by the occupant O based on the sensor information stored in the memory unit 21 in step S11 (step S13).

When the processing of step S13 is completed or when it is determined that the judgment timing has not come (step S12: No), the processing unit 22 judges whether the notification timing has come (step S14). The notification timing is, for example, a timing that occurs at every predetermined period or a timing when it is determined in step S13 that the occupant O is driving dangerously, but is not limited to such examples.

When the processing unit 22 determines that the judgment timing has arrived (step S14: Yes), it performs a notification process to provide a notification corresponding to the dangerous driving determined in step S13 (step S15). When the processing unit 22 has finished the process of step S15 or has determined that the notification timing has not arrived (step S14: No), it determines whether the operation end timing has arrived (step S16). The processing unit 22 determines that the operation end timing has arrived, for example, when the power supply of the information processing device 1 is turned off.

If the processing unit 22 determines that the operation end time has not yet arrived (step S16: No), it transitions to step S10, and if it determines that the operation end time has arrived (step S16: Yes), it terminates the processing shown in FIG. 8.

[6. Other]
The notification unit 42 can increase the first range as the speed or acceleration of the vehicle in the dangerous driving state, which is the vehicle 3 in the dangerous driving state, increases when the dangerous driving is reckless driving, and can increase the second range as the speed or acceleration of the vehicle in the dangerous driving state increases when the dangerous driving is wrong-way driving. Also, the notification unit 42 can increase the third range as the speed or acceleration of the vehicle in the dangerous driving state increases when the dangerous driving is meandering driving.

In addition, for example, when there are multiple occupants O on board the vehicle 3, the determination unit 41 can also determine dangerous driving by the occupants O of the vehicle 3 based on sensor information transmitted from the mobile devices 2 of the multiple occupants O. In this case, for example, when the sensor information transmitted from the mobile devices 2 of the multiple occupants O indicates similar speeds and accelerations, the determination unit 41 determines dangerous driving by the occupants O of the vehicle 3 based on the sensor information transmitted from the mobile devices 2 of the multiple occupants O.

The determination unit 41 can also determine whether the occupant O is the driver or passenger of the vehicle 3 based on the sensor information transmitted from the portable device 2 of the occupant O. For example, the determination unit 41 calculates the vibration of each portable device 2 based on the sensor information transmitted from the portable device 2 of the occupant O. The determination unit 41 can then input the calculated vibration into an estimation model and determine that the owner of a portable device 2 whose driver score output from the estimation model is equal to or greater than a threshold value is the driver.

The estimation model described above is generated by machine learning using learning data that includes information indicating vibrations calculated based on sensor information transmitted from the mobile device 2 and information indicating whether or not the person is the driver.

The above-mentioned learning model and estimation model are generated by machine learning using a neural network such as a convolutional neural network, a recurrent neural network, or a deep neural network, but are not limited to such examples. For example, instead of a neural network, the learning model and estimation model may be generated using machine learning using a learning algorithm such as a gradient boosting decision tree (GBDT), linear regression, or logistic regression.

In addition, when the acquisition unit 40 can acquire information in real time indicating whether or not a specific online service is being used by the mobile terminal 2 of each occupant, the determination unit 41 can also determine that an occupant O having a mobile terminal 2 using a specific online service is not a driver. Examples of specific online services include, but are not limited to, web search services, schedule management services, route guidance services, route information services, and electronic commerce services.

In addition, when the acquisition unit 40 can acquire information indicating whether or not a specific online service is being used by the mobile terminal 2 of each occupant O in real time, and when the occupant O who has a mobile terminal 2 that is using a specific online service is the driver, the determination unit 41 can multiply the above-mentioned dangerous driving score by n. n is, for example, an integer greater than 1.

In addition, when the control device 4 receives dangerous driving information including information indicating that the dangerous driving is reckless driving, it can also display a left-turn or right-turn arrow on the traffic light 5 or electronic traffic sign 6 so that a vehicle traveling in the oncoming lane ahead of the dangerous driving vehicle turns left or right. This allows a vehicle traveling in the oncoming lane ahead of the dangerous driving vehicle to evacuate from the road on which the dangerous driving vehicle is traveling.

In addition, when the control device 4 receives dangerous driving information including information indicating that the dangerous driving is wrong-way driving, it can also display left-turn or right-turn arrows on the traffic lights 5 or electronic traffic signs 6 so that vehicles ahead of the dangerous driving vehicle traveling toward the dangerous driving vehicle turn left or right. This allows vehicles ahead of the dangerous driving vehicle traveling toward the dangerous driving vehicle to evacuate from the road on which the dangerous driving vehicle is traveling.

In the above example, the traffic lights 5 and electronic traffic signs 6 are controlled by the control device 4 based on the movement-related information transmitted from the information processing device 1 to the control device 4, but the traffic lights 5 and electronic traffic signs 6 may also be controlled directly by the information processing device 1. In this case, the processing unit 22 of the information processing device 1 has a control unit that realizes the functions of the control device 4.

The mobile device 2 may be configured to execute some or all of the functions of the information processing device 1. In this case, the processing unit 15 of the mobile device 2 may have, for example, the information acquisition unit 16 having the function of the acquisition unit 40, and the processing unit 15 may have the function of the determination unit 41, or may have the functions of the determination unit 41 and the notification unit 42.

7. Hardware Configuration
The information processing device 1 according to the embodiment described above is realized by a computer 200 having a configuration as shown in Fig. 9. Fig. 9 is a hardware configuration diagram showing an example of the computer 200 that realizes the functions of the information processing device 1 according to the embodiment. The computer 200 has a CPU 201, a RAM 202, a ROM (Read Only Memory) 203, a HDD (Hard Disk Drive) 204, a communication interface (I/F) 205, an input/output interface (I/F) 206, and a media interface (I/F) 207.

The CPU 201 operates based on a program stored in the ROM 203 or the HDD 204, and controls each component. The ROM 203 stores a boot program executed by the CPU 201 when the computer 200 is started, and programs that depend on the hardware of the computer 200.

The HDD 204 stores programs executed by the CPU 201 and data used by such programs. The communication interface 205 receives data from other devices via the network N (see FIG. 2) and sends it to the CPU 201, and transmits data generated by the CPU 201 to other devices via the network N.

The CPU 201 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input/output interface 206. The CPU 201 acquires data from the input devices via the input/output interface 206. The CPU 201 also outputs data generated via the input/output interface 206 to the output devices.

The media interface 207 reads a program or data stored in the recording medium 208 and provides it to the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 onto the RAM 202 via the media interface 207 and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

For example, when the computer 200 functions as the information processing device 1 or mobile terminal 2 according to the embodiment, the CPU 201 of the computer 200 executes a program loaded onto the RAM 202 to realize the functions of the processing unit 22 and the processing unit 15. In addition, the HDD 204 stores data in the storage unit 21 or the storage unit 14. The CPU 201 of the computer 200 reads and executes these programs from the recording medium 208, but as another example, these programs may be obtained from another device via the network N.

[8. Other]
In addition, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, the information processing device 1 described above may be realized by multiple server computers, and depending on the function, the configuration can be flexibly changed, such as by calling an external platform using an API or network computing.

The above-described embodiments and variations can be combined as appropriate to the extent that they do not cause inconsistencies in the processing content.

9. Effects
As described above, the information processing device 1 according to the embodiment includes an acquisition unit 40 that acquires sensor information, which is information detected by a sensor mounted on the mobile terminal 2 carried by the occupant O of the vehicle 3, and a determination unit 41 that determines dangerous driving by the occupant O based on the sensor information acquired by the acquisition unit 40. In this way, the information processing device 1 can support the prevention of accidents caused by dangerous driving, such as reckless driving, without forcing the user U to install additional parts, such as a switch or a runaway prevention device, to the vehicle 3.

The information processing device 1 also includes a notification unit 42 that issues a notification according to the dangerous driving determined by the determination unit 41. This allows the information processing device 1 to prevent accidents caused by dangerous driving such as reckless driving.

The notification unit 42 also notifies the control device 4 that controls the traffic lights 5 at the vehicle's destination. This allows the information processing device 1 to prevent accidents caused by dangerous driving, such as reckless driving.

The notification unit 42 also notifies other vehicles 3 around the vehicle 3. This allows the information processing device 1 to prevent accidents caused by dangerous driving such as reckless driving.

The notification unit 42 also notifies one or more of the driver of the vehicle 3, the driver's family, and people around the vehicle 3. This allows the information processing device 1 to better support the prevention of accidents caused by dangerous driving, such as reckless driving.

The notification unit 42 also notifies one or more of an insurance company that compensates for losses due to an accident involving the vehicle 3, a police station, and a fire station. This allows the information processing device 1 to better support the prevention of accidents caused by dangerous driving, such as reckless driving.

The determination unit 41 also determines dangerous driving using a learning model that receives sensor information as input and outputs a dangerous driving score indicating the degree of dangerous driving, and the notification unit 42 notifies information including the dangerous driving score determined by the determination unit 41 as a notification corresponding to dangerous driving. This allows the information processing device 1 to better support the prevention of accidents caused by dangerous driving such as reckless driving.

The notification unit 42 also issues different notifications depending on the type of dangerous driving. This allows the information processing device 1 to better support the prevention of accidents caused by dangerous driving, such as reckless driving.

The above describes the embodiments of the present application in detail based on the drawings, but this is merely an example, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the disclosure section of the invention.

The above-mentioned "section, module, unit" can be read as "means" or "circuit." For example, an acquisition unit can be read as an acquisition means or an acquisition circuit.

REFERENCE SIGNS LIST 1 Information processing device 2, 7 Portable terminal 3 Vehicle 4 Control device 5 Traffic light 6 Electronic traffic sign 10, 20 Communication unit 11 Display unit 12 Operation unit 13 Sensor group 14, 21 Memory unit 15, 22 Processing unit 16 Information acquisition unit 17 Display processing unit 18 Information output unit 30 Occupant information storage unit 31 User information storage unit 40 Acquisition unit 41 Determination unit 42 Notification unit 50 Insurance company device 51 Police station device 52 Fire station device 100 Information processing system N Network

Claims (10)

an acquisition unit that acquires sensor information that is information detected by a sensor mounted on a mobile terminal carried by a vehicle occupant;
a determination unit that determines dangerous driving by the occupant based on the sensor information acquired by the acquisition unit. The information processing device according to claim 1 , further comprising a notification unit that performs a notification in response to the dangerous driving determined by the determination unit. The notification unit is
The information processing device according to claim 2 , further comprising: a control device that controls a traffic light at a destination where the vehicle is traveling, and the notification is sent to the control device. The notification unit is
The information processing device according to claim 2 , further comprising: a controller configured to notify other vehicles surrounding the vehicle of the notification. The notification unit is
5. The information processing device according to claim 2, wherein the notification is sent to at least one of a driver of the vehicle, a family member of the driver, and people around the vehicle. The notification unit is
5. The information processing device according to claim 2, further comprising: transmitting the notification to one or more of an insurance company that compensates for losses due to an accident involving the vehicle, a police station, and a fire station. The determination unit is
The dangerous driving is determined using a learning model that receives the sensor information as an input and outputs a dangerous driving score indicating a degree of dangerous driving;
The notification unit is
The information processing device according to any one of claims 2 to 4, characterized in that information including the dangerous driving score determined by the determination unit is notified as a notification corresponding to the dangerous driving. The notification unit is
5. The information processing device according to claim 2, further comprising: a notification unit configured to notify the driver of a risk of driving by issuing a different notification depending on the type of the risky driving. 1. A computer-implemented information processing method, comprising:
An acquisition step of acquiring sensor information which is information detected by a sensor mounted on a mobile terminal carried by an occupant of the vehicle;
a determination step of determining dangerous driving by the occupant based on the sensor information acquired in the acquisition step. An acquisition step of acquiring sensor information, which is information detected by a sensor mounted on a mobile device carried by an occupant of the vehicle;
a determination step of determining dangerous driving by the occupant based on the sensor information acquired by the acquisition step,

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