JP2022078363A - Information processing device and program - Google Patents

Abstract

To improve a determination accuracy of a traffic condition.SOLUTION: An information processing device comprises: means for acquiring reaction information regarding a reaction of a driver of each moving object and position information regarding a position of the moving object from a client device arranged in each of a plurality of moving objects; means for determining a psychological state of the driver by referring to the reaction information; means for associating and storing psychological state information regarding the determined psychological state and the position information associated with the reaction information referred to in the determination; and means for determining a traffic state in a region or position by referring to a plurality of pieces of psychological state information associated with the position information corresponding to the region or position within a predetermined range.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing apparatus and a program.

It is known that the psychological state of the driver of a vehicle affects the running of the vehicle. By considering the psychological state of the driver, it is expected that useful information will be provided not only to the driver but also to people in the vicinity of the vehicle.

For example, Patent Document 1 discloses a technique for determining a change in the psychological state of a vehicle user and providing information to the user according to the determined change in the psychological state.

Japanese Unexamined Patent Publication No. 2010-009413

Generally, the traffic condition is determined by referring to travel information (for example, traffic volume) relating to the travel of the vehicle. In recent years, it is expected to improve the accuracy of determining the traffic condition by referring not only to the driving information but also to the psychological state of the driver.
The traffic condition is determined not by the traveling condition of one vehicle but by the traveling condition of a plurality of vehicles. Therefore, in order to determine the traffic condition in consideration of the psychological state of the driver, it is necessary to consider the psychological state of a plurality of drivers.

However, the technique of Patent Document 1 provides information according to the psychological state of a driver driving a certain vehicle to the driver, and does not consider the psychological state of another driver. .. Therefore, the psychological state of the driver is not applied to the determination of the traffic state.

An object of the present invention is to improve the accuracy of determining a traffic condition.

One aspect of the present invention is
A means for acquiring reaction information regarding the reaction of the driver of each moving body and position information regarding the position of the moving body from client devices arranged in each of the plurality of moving bodies is provided.
With reference to the reaction information, a means for determining the psychological state of the driver is provided.
A means for associating and storing the psychological state information regarding the determined psychological state and the position information associated with the reaction information referred to in the determination is provided.
A means for determining a traffic state in a predetermined range or position by referring to a plurality of psychological state information associated with the position information corresponding to the area or position.
It is an information processing device.

According to the present invention, the accuracy of determining the traffic condition can be improved.

It is a block diagram which shows the structure of the information processing system of this embodiment. It is a functional block diagram of the information processing system of FIG. It is explanatory drawing of the outline of this embodiment. It is a figure which shows the data structure of the driver information database of this embodiment. It is a figure which shows the data structure of the traveling log information database of this embodiment. It is a figure which shows the data structure of the traffic log information database of this embodiment. It is a sequence diagram of the process of the determination of the psychological state of this embodiment. It is a figure which shows the screen example of the information processing of FIG. It is a schematic diagram of the psychological state determination model referred to in the information processing of FIG. 7. It is a sequence diagram of the process of determination of the traffic state of this embodiment. It is a schematic diagram of the 1st example of the traffic state determination model referred to in the information processing of FIG. It is a schematic diagram of the 2nd example of the traffic state determination model referred to in the information processing of FIG. It is a schematic diagram of the 3rd example of the traffic state determination model referred to in the information processing of FIG. It is a sequence diagram of the process of presenting the traffic state of this embodiment. It is a figure which shows the screen example of the information processing of FIG. It is explanatory drawing of the process of presenting the traffic state of the modification 1. FIG. It is a figure which shows the screen example of the information processing of FIG. It is explanatory drawing of the process of presenting the traffic state of the modification 2. FIG. It is a figure which shows the screen example of the information processing of FIG.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In the drawings for explaining the embodiments, the same components are designated by the same reference numerals in principle, and the repeated description thereof will be omitted.

(1) Configuration of information processing system The configuration of the information processing system will be described. FIG. 1 is a block diagram showing a configuration of an information processing system of the present embodiment. FIG. 2 is a functional block diagram of the information processing system of FIG.

As shown in FIG. 1, the information processing system 1 includes a client device 10, a sensor unit 20, and a server 30.
The client device 10 and the server 30 are connected via a network (for example, the Internet or an intranet) NW.
The sensor unit 20 is connected to the client device 10.
The client device 10 and the sensor unit 20 are arranged in the mobile MB.

Mobile MB is
The client device 10 is arranged in the moving body MB of FIG.
The mobile MB includes, for example, at least one of the following:
・ Motorcycles ・ Motorcycles ・ Aircraft ・ Ships ・ Personal mobility ・ Remotely controllable moving objects (drone, for example)

The client device 10 is an example of an information processing device that transmits a request to the server 30. The client device 10 is, for example, a smartphone, a tablet terminal, or a personal computer.

The sensor unit 20 is configured to acquire reaction information regarding the reaction of the driver, position information regarding the position of the moving body MB, and running information regarding the running of the moving body MB.

The server 30 is an example of an information processing device that provides the client device 10 with a response corresponding to a request transmitted from the client device 10. The server 30 is, for example, a web server.

(1-1) Configuration of Client Device The configuration of the client device 10 will be described.

As shown in FIG. 2, the client device 10 includes a storage device 11, a processor 12, an input / output interface 13, a communication interface 14, and a sensor unit 20.

The storage device 11 is configured to store programs and data. The storage device 11 is, for example, a combination of a ROM (Read Only Memory), a RAM (Random Access Memory), and a storage (for example, a flash memory or a hard disk).

The program includes, for example, the following program.
・ OS (Operating System) program ・ Application (for example, web browser) program that executes information processing

The data includes, for example, the following data.
-Database referenced in information processing-Data obtained by executing information processing (that is, the execution result of information processing)

The processor 12 is configured to realize the function of the client device 10 by activating the program stored in the storage device 11. The processor 12 is an example of a computer.

The input / output interface 13 is configured to acquire a user's instruction from an input device connected to the client device 10 and output information to an output device connected to the client device 10.
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof. Further, the input device includes the sensor unit 20.
The output device is, for example, a display.

The communication interface 14 is configured to control communication between the client device 10 and the server 30.

(1-2) Sensor configuration The configuration of the sensor unit 20 will be described.

As shown in FIG. 2, the sensor unit 20 includes a reaction sensor 21, a position sensor 22, and a traveling sensor 23.

The reaction sensor 21 is configured to acquire reaction information regarding the driver's reaction. The reaction sensor 21 includes, for example, at least one of the following.
・ Image sensor to acquire image information ・ Microphone to acquire voice information ・ Wearable sensor to acquire biological information related to driver's biological reaction

The position sensor 22 is configured to acquire position information regarding the position of the moving body MB. The position sensor 22 is, for example, a GPS (Global Positioning System) receiver.

The travel sensor 23 is configured to measure the acceleration of the moving body MB. The travel sensor 23 is, for example, a gyro sensor.

(1-3) Server Configuration The configuration of the server 30 will be described.

As shown in FIG. 2, the server 30 includes a storage device 31, a processor 32, an input / output interface 33, and a communication interface 34.

The storage device 31 is configured to store programs and data. The storage device 31 is, for example, a combination of a ROM, a RAM, and a storage (for example, a flash memory or a hard disk).

The program includes, for example, the following program.
・ OS program ・ Application program that executes information processing

The data includes, for example, the following data.
・ Database referenced in information processing ・ Execution result of information processing

The processor 32 is configured to realize the function of the server 30 by activating the program stored in the storage device 31. The processor 32 is an example of a computer.

The input / output interface 33 is configured to acquire a user's instruction from an input device connected to the server 30 and output information to an output device connected to the server 30.
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.
The output device is, for example, a display.

The communication interface 34 is configured to control communication between the server 30 and the client device 10.

(2) Outline of the embodiment An outline of the present embodiment will be described. FIG. 3 is an explanatory diagram of an outline of the present embodiment.

As shown in FIG. 3, the sensor unit 20 arranged in the mobile MB of the present embodiment acquires reaction information regarding the reaction of the driver of the mobile MB and position information regarding the position of the mobile MB.
The server 30 causes the client device 10 to transmit the reaction information and the position information acquired by the sensor unit 20 to the server 30.

The server 30 acquires the reaction information of the driver of each mobile MB and the position information of each mobile MB from the client devices 10 arranged in each of the plurality of mobile MBs.
The server 30 determines the psychological state of the driver with reference to the reaction information.
The server 30 stores the psychological state information regarding the determined psychological state and the position information associated with the reaction information referred to in the determination in association with each other.
The server 30 determines the traffic state in the area or position with reference to a plurality of psychological state information associated with the position information corresponding to the area or position in the predetermined range.

(3) Database The database of the present embodiment will be described. The following database is stored in the storage device 31.

(3-1) Driver information database The driver information database of the present embodiment will be described. FIG. 4 is a diagram showing a data structure of the driver information database of the present embodiment.

The driver information database of FIG. 4 stores driver information about the driver.
The driver information database includes a "driver ID" field, a "driver name" field, and a "driver attribute" field. Each field is associated with each other.

Driver identification information that identifies the driver is stored in the "driver ID" field.

The "driver name" field stores information about the driver name (eg, text).

The "driver attribute" field stores driver attribute information regarding the driver's attribute. The "Driver Attribute" field includes a plurality of subfields ("Gender" field, "Age" field, and "Occupation" field).

The Gender field stores information about the driver's gender.

The "age" field stores information about the driver's age.

The Occupation field stores information about the driver's occupation.

(3-2) Travel log information database The travel log information database of the present embodiment will be described. FIG. 5 is a diagram showing a data structure of the travel log information database of the present embodiment.

The travel log information database of FIG. 5 stores operation log information related to the travel history of the moving body.
The travel log information database includes a "log ID" field, a "date and time" field, a "position" field, a "travel" field, a "reaction" field, and a "psychological state" field. Each field is associated with each other.
The travel log information database is associated with driver identification information.

The "log ID" field stores log identification information that identifies the travel history.

The "date and time" field stores information about the date and time when the travel history was acquired.

The "position" field stores position information regarding the position of the moving body MB.

In the "running" field, running information (for example, information on acceleration) related to running of the moving body MB is stored.

The "reaction" field stores reaction information about the driver's reaction.

The "psychological state" field stores psychological state information regarding the driver's state. The driver's condition includes, for example, at least one of the following:
・ Negative psychological state (for example, stress, frustration, and surprise)
・ Positive psychological state (relaxation as an example)

(3-3) Traffic log information database The traffic log information database of this embodiment will be described. FIG. 6 is a diagram showing a data structure of the traffic log information database of the present embodiment.

The traffic log information database of FIG. 6 stores traffic log information related to a traffic information log for each position where the moving object MB has traveled.
The traffic log information database includes a "traffic log ID" field, a "traffic status" field, and a "date and time" field. Each field is associated with each other.
The traffic log information database is associated with location information.

The "traffic log ID" field stores traffic log identification information that identifies the traffic log.

In the "traffic condition" field, traffic condition information regarding the traffic condition at the position where the moving object MB has traveled is stored.

The "Date and time" field stores information about the date and time of the traffic log information.

(4) Information processing The information processing of the present embodiment will be described.

(4-1) Processing of Psychological State Judgment The processing of psychological state determination of the present embodiment will be described. FIG. 7 is a sequence diagram of the process of determining the psychological state of the present embodiment. FIG. 8 is a diagram showing a screen example of the information processing of FIG. 7. FIG. 9 is a schematic diagram of a psychological state determination model referred to in the information processing of FIG. 7.

The client device 10a of FIG. 7 is arranged in the mobile MB.

The client device 10a executes acquisition of login information (S110).
Specifically, the processor 12 displays the screen P10 (FIG. 8) on the display.

The screen P10 includes an operation object B100 and a field object F100.
The field object F100 is an object that accepts user input of driver identification information.
The operation object B100 is an object that receives a user instruction for confirming the input of the field object F100.

The client device 10a executes sensing (S111).
Specifically, when the driver inputs his / her driver identification information into the field object F100 and operates the operation object B100, the reaction sensor 21, the position sensor 22, and the traveling sensor 23 start sensing.
The processor 12 acquires reaction information regarding the driver's reaction from the reaction sensor 21 via the input / output interface 13.
The processor 12 acquires the position information regarding the position of the moving body MB from the position sensor 22 via the input / output interface 13.
The processor 12 acquires travel information regarding travel of the moving body MB from the travel sensor 23 via the input / output interface 13.
The processor 12 transmits the sensing data to the server 30. The sensing data includes the following information.
-Driver identification information acquired in step S110-Reaction information-Location information-Running information-Information regarding the execution date and time of step S111

After step S111, the server 30 executes the psychological state determination (S130).
Specifically, the storage device 31 stores a psychological state determination model (FIG. 9). When the reaction information is input, the psychological state determination model is a driver's psychological state (for example, when the reaction information is waveform information, a combination of frequency, wavelength, and amplitude) according to the characteristics of the reaction information (for example, when the reaction information is waveform information). It is configured to output "negative" or "positive").
Negative psychological states are further classified into detailed psychological states (for example, frustration and surprise).
The processor 32 determines the state of the driver by inputting the reaction information included in the sensing data into the psychological state determination model.

After step S130, the server 30 executes the database update (S131).
Specifically, the processor 32 adds a new record to the travel log information database (FIG. 5) associated with the driver identification information included in the sensing data. The following information is stored in each field of the new record.
-New log identification information is stored in the "log ID" field.
-In the "date and time" field, information regarding the execution date and time of step S111 included in the sensing data is stored.
-The position information included in the sensing data is stored in the "position" field.
-The "travel" field stores the travel information included in the sensing data.
-The reaction information included in the sensing data is stored in the "reaction" field.
-The "psychological state" field stores psychological state information regarding the determined state of the driver.

(4-2) Traffic Condition Judgment Processing The traffic condition determination processing of the present embodiment will be described. FIG. 10 is a sequence diagram of the process of determining the traffic condition of the present embodiment. FIG. 11 is a schematic diagram of a first example of the traffic condition determination model referred to in the information processing of FIG. FIG. 12 is a schematic diagram of a second example of the traffic condition determination model referred to in the information processing of FIG. FIG. 13 is a schematic diagram of a third example of the traffic condition determination model referred to in the information processing of FIG.

The information processing of FIG. 10 is executed periodically.

As shown in FIG. 10, the server 30 executes the traffic condition determination (S230).

As a first example, a traffic state determination model (FIG. 11) is stored in the storage device 31. In the traffic state determination model, when a plurality of driver psychological state information associated with the position information (for example, (X1, Y1)) is input, the traffic state (for example) of the position indicated by the position information is input according to the psychological state information. , Normal or abnormal).
The processor 32 refers to the "position information" field and the "psychological state" field of the travel log information database (FIG. 5) associated with the plurality of driver identification information, and extracts a plurality of psychological state information for each position information. do.
The processor 32 determines the traffic state for each position by inputting a plurality of psychological state information extracted for each position information into the traffic state determination model.

As a second example, the storage device 31 stores a traffic state determination model (FIG. 12). When the traffic state determination model inputs the psychological state information of the plurality of drivers DRV1 and DRV2 and the traveling information of the plurality of moving objects MB, the traffic state (for example, normal or normal) according to the psychological state information and the traveling information is input. It is configured to determine anomalies).
The processor 32 refers to the "location information" field, the "psychological state" field, and the "traveling" field of the travel log information database (FIG. 5) associated with the plurality of driver identification information, and refers to the location information (for example, the travel information). , (X1, Y1)), the combination of the psychological state information of the plurality of drivers and the traveling information of the plurality of moving bodies MB is extracted for each position information.
The processor 32 determines the traffic state for each position by inputting a combination of a plurality of psychological state information and traveling information extracted for each position information into the traffic state determination model.

As a third example, a traffic state determination model (FIG. 13) is stored in the storage device 31. When the psychological state information of a plurality of drivers DRV1 and DRV2 and the environmental information related to the driving environment for each position information are input to the traffic state determination model, the traffic state according to the psychological state information and the environmental information (for example, normal). Or abnormal) is configured to be determined.
The processor 32 refers to the "position information" field and the "psychological state" field of the travel log information database (FIG. 5) associated with the plurality of driver identification information, and extracts a plurality of psychological state information for each position information. do.
The processor 32 acquires the environment information associated with the location information from the external server.
The processor 32 determines the traffic state for each position by inputting a combination of a plurality of psychological state information and environmental information extracted for each position information into the traffic state determination model.

After step S131, the server 30 executes the database update (S231).
Specifically, the processor 32 adds a new record to the traffic log information database (FIG. 6) associated with the location information corresponding to the traffic condition determined in step S230. The following information is stored in each field of the new record.
-New traffic log identification information is stored in the "traffic log ID" field.
-Traffic condition information regarding the traffic condition determined in step S230 is stored in the "traffic condition" field.
-Information regarding the execution date and time of step S231 is stored in the "date and time" field.

(4-3) Processing of presentation of traffic condition The processing of presentation of traffic condition of the present embodiment will be described. FIG. 14 is a sequence diagram of the process of presenting the traffic state of the present embodiment. FIG. 15 is a diagram showing a screen example of the information processing of FIG.

The client device 10b executes the acquisition of the target position information (S310).
Specifically, the processor 12 displays the screen P30 (FIG. 15) on the display.

The screen P30 includes an operation object B300 and a field object F300.
The field object F300 is an object that accepts input of target position information.
The operation object B300 is an object that receives a user instruction for confirming the contents input to the field object F300.

After step S310, the client device 10b executes the traffic information request (S311).
Specifically, when the user inputs the target position information into the field object F300 and operates the operation object B300, the processor 12 transmits the traffic information request data to the server 30. The traffic information request data includes the position information acquired in step S310 (that is, the position information input to the field object F300).

After step S311 the server 30 executes the identification of the target traffic information (S330).
Specifically, the processor 32 indicates the latest date and time stored in the "date and time" field among the records of the traffic log information database (FIG. 6) associated with the location information included in the traffic information request data. Identify the record. The information in the "traffic status" field of the record is the target traffic information to be presented.

After step S330, the server 30 executes the traffic information response (S331).
Specifically, the processor 32 transmits the traffic information response data to the client device 10b. The traffic information response data includes the target traffic information specified in step S330.

After step S331, the client device 10b executes the presentation of traffic information (S312).
Specifically, the processor 12 displays the screen P31 (FIG. 15) on the display.

The screen P31 includes the display object A310.
The display object A310 displays the target traffic information included in the traffic information response data. Specifically, the display object A310 includes image objects IMG310a to IMG310d.
The image object IMG310a is an image of a map of a predetermined range including a position corresponding to the position information included in the traffic information request data.
The image object IMG310b represents the target traffic information (for example, "abnormality") included in the target traffic information response data.

According to the present embodiment, the traffic state is determined based on the psychological state information of a plurality of drivers. This makes it possible to improve the accuracy of determining the traffic condition.

(5) Modification Example A modification of the present embodiment will be described.

(5-1) Modification 1
A modification 1 of the present embodiment will be described. The first modification is an example of notifying the user in the vicinity of the position where the traffic condition is determined to be abnormal to the effect that the traffic condition is abnormal.

(5-1-1) Process of Presenting Traffic Condition of Modification 1 A process of presenting a traffic condition of Modification 1 of the present embodiment will be described. FIG. 16 is an explanatory diagram of the process of presenting the traffic state of the modified example 1. FIG. 17 is a diagram showing a screen example of the information processing of FIG.

The client device 10 in FIG. 16 is a user terminal used by the user. The user is at least one of the following.
・ Driver of mobile MB ・ Passenger of mobile MB ・ Person who is not on the mobile MB (for example, pedestrian)

The client device 10 of the first modification includes a position sensor.
This position sensor is configured to acquire position information regarding the position of the client device 10. The position sensor is, for example, a GPS receiver.

As shown in FIG. 16, the client device 10 executes the transmission of position information (S410).
Specifically, the processor 12 acquires position information regarding the position of the client device 10 from the position sensor via the input / output interface 13.
The processor 12 transmits the position information acquired by the position sensor to the server 30.

After step S410, the server 30 executes the identification of the notification target information (S430).
Specifically, the processor 32 refers to the travel log information database (FIG. 5) and identifies a record indicating that the information in the "date and time" field is within a predetermined time from the execution date and time of step S430.
The processor 32 corresponds to the same position information as the position information transmitted from the client device 10 in step S410 or the position information transmitted from the client device 10 in step S410 in the “position” field of the specified record. Specify the record in which the position information (hereinafter referred to as "target position information") of the position included in the predetermined range from the position to be stored is stored.
The processor 32 identifies a record (hereinafter referred to as “notification target record”) in which a negative psychological state (for example, “irritated”) is stored in the “psychological state” field among the specified records. The information of the notification target record means that there is a driver having a psychological state determined to be "irritated" at a position included within a predetermined range from the user of the client device 10.

After step S430, the server 30 executes the transmission of the notification target information (S431).
Specifically, the processor 32 transmits the information of the notification target record specified in step S430 to the client device 10.

After step S431, the client device 10 executes the presentation of the notification target information (S411).
Specifically, the processor 12 displays the screen P40 (FIG. 17) on the display.

The screen P40 includes image objects IMG400a to 400c and message objects MSG400.
The image object IMG400a is an image of a map of a predetermined range including a position corresponding to the position information transmitted from the client device 10 in step S410.
The image object IMG400b represents a position corresponding to the position information transmitted from the client device 10 in step S410.
The image object IMG400c represents a position corresponding to the position information stored in the "position" field of the notification target record identified in step S430.
The message object MSG400 is a message that notifies the user of the information of the record to be notified.

According to the first modification, if there is a driver having a negative psychological state around the user, the user can be notified to that effect.

The position sensor of the client device 10 can be omitted. In this case, the server 30 acquires the position information from the position sensor 22 arranged in the mobile MB. Thereby, if the driver has a driver having a negative psychological state in the vicinity of the driver, the driver can be notified to that effect.

(5-2) Modification 2
Modification 2 of this embodiment will be described. Modification 2 is an example in which a driver having a negative psychological state notifies a position where the number has increased sharply.

(5-2-1) Processing of Presenting Traffic Condition of Modification 2 The processing of presenting the traffic condition of Modification 2 of the present embodiment will be described. FIG. 18 is an explanatory diagram of the process of presenting the traffic state of the modified example 2. FIG. 19 is a diagram showing a screen example of the information processing of FIG.

As shown in FIG. 18, the server 30 executes the calculation of the psychological state change amount (S530).
Specifically, the processor 32 refers to the travel log information database (FIG. 5) and identifies a record indicating that the information in the "date and time" field is within a predetermined time from the execution date and time of step S430.
The processor 32 counts the number of records in which a negative psychological state (eg, "irritated") is stored in the "psychological state" field among the identified records.
Based on the counted result, the processor 32 calculates the amount of increase per unit time of the record in which the negative psychological state is stored in the "psychological state" field for each position. This amount of increase means an amount of increase for each position of a driver having a psychological state determined to be "irritated" per unit time.
The processor 32 specifies a position where the amount of increase is equal to or greater than a predetermined threshold value (hereinafter referred to as “notification target position”). The notification target position means a position where the number of drivers having a psychological state determined to be "irritated" per unit time has increased sharply.

After step S530, the server 30 executes the transmission of the notification target information (S531).
Specifically, the processor 32 transmits the position information of the notification target position specified in step S530 to the client device 10.

After step S431, the client device 10 executes the presentation of the notification target information (S510).
Specifically, the processor 12 displays the screen P50 (FIG. 19) on the display.

The screen P50 includes image objects IMG500a to 500b and message objects MSG500.
The image object IMG500a is an image of a map of a predetermined range including a position to be notified.
The image object IMG500b represents a notification target position.
The message object MSG500 is a message that notifies the user of the notification target position.

According to the second modification, the driver having a negative psychological state can inform the user of the rapidly increased area.

(5-3) Modification 3
A modification 3 of the present embodiment will be described. Modification 3 is a specific example of determining the traffic condition.

In the processor 32 of the first example of the modification 3, when the number of drivers having a negative psychological state is a predetermined number or more in step S230, a traffic abnormality occurs in a predetermined range area or position. Is determined.

This makes it possible to further improve the accuracy of determining the traffic condition.

In step S230, when the number of drivers having the psychological state "irritated" is equal to or more than a predetermined number, the processor 32 of the second example of the modified example 3 states that congestion has occurred in a predetermined range of areas or positions. judge.
When the number of drivers having the psychological state "surprise" is equal to or greater than a predetermined number, the processor 32 determines that an accident has occurred in a predetermined range of regions or positions.

This makes it possible to determine the traffic state according to the details of the negative psychological state.

(6) Other modifications

The storage device 11 may be connected to the client device 10 via the network NW. The storage device 31 may be connected to the server 30 via the network NW.

Each step of the above information processing can be executed by either the client device 10 or the server 30.

The client devices 10a and 10b may be the same device or different devices.

In the acquisition of the target position information (S310), the processor 12 of the client device 10b may acquire the target position information from the position sensor 22 via the input / output interface 13 instead of the user instruction to the field object F300. In this case, the target position information indicates the position of the moving body MB when the step S310 is executed, not the position of the user.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited to the above embodiments. Further, the above-described embodiment can be variously improved or modified without departing from the gist of the present invention. Further, the above embodiments and modifications can be combined.

1: Information processing system 10: Client device 11: Storage device 12: Processor 13: Input / output interface 14: Communication interface 15: Driver sensor 30: Server 31: Storage device 32: Processor 33: Input / output interface 34: Communication interface

Claims (13)

A means for acquiring reaction information regarding the reaction of the driver of each moving body and position information regarding the position of the moving body from client devices arranged in each of the plurality of moving bodies is provided.
With reference to the reaction information, a means for determining the psychological state of the driver is provided.
A means for associating and storing the psychological state information regarding the determined psychological state and the position information associated with the reaction information referred to in the determination is provided.
A means for determining a traffic state in a predetermined range or position by referring to a plurality of psychological state information associated with the position information corresponding to the area or position.
Information processing equipment. Equipped with a means to acquire target location information
Presenting the traffic condition at the position corresponding to the acquired target position information.
The information processing apparatus according to claim 1. The reaction information is at least one of the image information of the driver's face, the voice information of the driver's voice, and the biological information about the driver's living body.
The information processing apparatus according to claim 1 or 2. When the number of drivers having a negative psychological state is equal to or greater than a predetermined number, the means for determining the traffic condition determines that a traffic abnormality has occurred in a predetermined range or position.
The information processing apparatus according to any one of claims 1 to 3. When the number of drivers having a frustrated psychological state is equal to or greater than a predetermined number, the means for determining the traffic condition determines that congestion has occurred in a predetermined range or position.
The information processing apparatus according to claim 4. When the number of drivers having a surprising psychological state is equal to or greater than a predetermined number, the means for determining the traffic condition determines that an accident has occurred in a predetermined range or position.
The information processing apparatus according to claim 4 or 5. A means for acquiring traveling information regarding the traveling of the moving body is provided.
A means for associating and storing the traveling information and the position information is provided.
The means for determining the traffic state determines the traffic state by further referring to a plurality of psychological state information associated with the position information corresponding to the area or position in a predetermined range.
The information processing apparatus according to any one of claims 1 to 6. A means for acquiring environmental information regarding the traveling environment of the moving body is provided.
A means for associating and storing the environment information and the location information is provided.
The means for determining the traffic condition determines the traffic condition by further referring to a plurality of environmental information associated with the position information corresponding to the area or position in a predetermined range.
The information processing apparatus according to any one of claims 1 to 7. A driver who has a negative psychological state around the user or driver with respect to a user or driver who is at or near the position corresponding to the position information associated with the psychological state information indicating a negative psychological state. Equipped with a means of presenting that
The information processing apparatus according to any one of claims 1 to 8. Equipped with a means to calculate the amount of increase in psychological state information indicating a negative psychological state for each position per unit time.
A means for presenting a position where the increase amount is equal to or higher than a predetermined threshold value is provided.
The information processing apparatus according to any one of claims 1 to 9. A means for acquiring reaction information regarding the reaction of the driver of each moving body and position information regarding the position of the moving body from client devices arranged in each of the plurality of moving bodies is provided.
With reference to the reaction information, a means for determining the psychological state of the driver is provided.
A means for associating and storing the psychological state information regarding the determined psychological state and the position information associated with the reaction information referred to in the determination is provided.
Presenting to a user at or near the position corresponding to the position information associated with the psychological state information indicating a negative psychological state that there is a driver having a negative psychological state around the user. Have the means to
Information processing equipment. A means for acquiring reaction information regarding the reaction of the driver of each moving body and position information regarding the position of the moving body from client devices arranged in each of the plurality of moving bodies is provided.
With reference to the reaction information, a means for determining the psychological state of the driver is provided.
A means for associating and storing the psychological state information regarding the determined psychological state and the position information associated with the reaction information referred to in the determination is provided.
Equipped with a means to calculate the amount of increase in psychological state information indicating a negative psychological state for each position per unit time.
A means for presenting a position where the increase amount is equal to or higher than a predetermined threshold value is provided.
Information processing equipment. A program for realizing each means according to any one of claims 1 to 12 on a computer.

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