JPWO2019198449A1 - Information provision system, mobile terminal, information provision device, information provision method, and computer program - Google Patents

Abstract

The information providing system includes a mobile terminal mounted on at least a part of one or a plurality of moving objects located in a predetermined area, and dynamic information on the one or a plurality of moving objects in the map information of the area. Based on the dynamic map information on which is superimposed, the calculation unit that obtains the evaluation value of the predicted traffic condition, which is the prediction result of the traffic condition of each of the mobile terminals, and the predicted traffic condition of each of the mobile terminals are transferred to the mobile terminal. It is provided with a determination unit that determines whether or not to notify for each mobile terminal based on the evaluation value, and a notification unit that notifies the mobile terminal of the predicted traffic situation based on the determination result of the determination unit. ing.

Description

The present invention relates to an information providing system, a mobile terminal, an information providing device, an information providing method, and a computer program.
This application claims priority based on Japanese Application No. 2018-075446 filed on April 10, 2018, and incorporates all the contents described in the Japanese application.

Patent Document 1 discloses a traffic system that notifies its own vehicle of information on another vehicle.

Japanese Unexamined Patent Publication No. 2013-109746

The information providing system according to the embodiment is a mobile terminal mounted on at least a part of one or a plurality of moving bodies located in a predetermined area, and the one or a plurality of movements on the map information of the area. Based on the dynamic map information on which the dynamic information about the body is superimposed, the calculation unit that obtains the evaluation value of the predicted traffic condition, which is the prediction result of the traffic condition of each of the mobile terminals, and the predicted traffic condition of each of the mobile terminals. A determination unit that determines whether or not to notify the mobile terminal for each mobile terminal based on the evaluation value, and a notification that notifies the mobile terminal of the predicted traffic situation based on the determination result of the determination unit. It has a department.

Further, the mobile terminal according to another embodiment is a mobile terminal that receives the predicted traffic situation from the information providing system and outputs the predicted traffic situation to the user.

Another embodiment of the information providing method is an information providing method for providing information to a mobile terminal, in which the map information of an area where one or more moving objects are located is dynamically related to the one or more moving objects. A calculation step for obtaining an evaluation value of a predicted traffic condition, which is a prediction result of the traffic condition of each of the mobile terminals mounted on at least a part of the one or a plurality of moving bodies, based on the dynamic map information on which the information is superimposed. A determination step for determining whether or not to notify the mobile terminal of the predicted traffic situation of each of the mobile terminals for each mobile terminal based on the evaluation value, and the determination result of the determination unit. A notification step for notifying the mobile terminal of the predicted traffic situation is included.

Further, the computer program of another embodiment is a computer program for causing a computer to execute an information providing process for providing information to a mobile terminal, and is a map of an area in which one or more moving objects are located in the computer. Prediction of traffic conditions of each of the mobile terminals mounted on at least a part of the one or more moving objects based on dynamic map information in which dynamic information about the one or more moving objects is superimposed on the information. A calculation step for obtaining an evaluation value of the predicted traffic condition as a result, and a determination for each mobile terminal to determine whether or not to notify the mobile terminal of the predicted traffic condition of each of the mobile terminals based on the evaluation value. It is a computer program for executing a step and a notification step of notifying the mobile terminal of the predicted traffic situation based on the determination result of the determination unit.

Further, the information providing device according to another embodiment is based on the dynamic map information in which the dynamic information about the one or more moving bodies is superimposed on the map information of the area where the one or more moving bodies are located. The calculation unit for obtaining the evaluation value of the predicted traffic condition, which is the prediction result of the traffic condition of each of the mobile terminals mounted on at least a part of the one or a plurality of mobile bodies, and the predicted traffic condition of each of the mobile terminals. It is provided with a determination unit that determines whether or not to notify the mobile terminal for each mobile terminal based on the evaluation value.

FIG. 1 is a schematic view showing an overall configuration of a wireless communication system according to an embodiment. FIG. 2 is a block diagram showing an example of the internal configuration of the edge server and the core server. FIG. 3 is a block diagram showing an example of an internal configuration of an in-vehicle device of a vehicle equipped with a communication terminal. FIG. 4 is a block diagram showing an example of the internal configuration of the pedestrian terminal. FIG. 5 is a block diagram showing an example of the internal configuration of a roadside sensor equipped with a wireless communication device which is a communication terminal. FIG. 6 is an overall configuration diagram of the information providing system according to the present embodiment. FIG. 7 is a sequence diagram showing an example of dynamic information update processing and distribution processing. FIG. 8 is a functional block diagram of an edge server showing a function for providing a predicted traffic situation. FIG. 9 is a diagram showing an example of a mobile database. FIG. 10 is a flowchart showing an example of calculation processing of the evaluation value of the predicted traffic condition by the calculation unit. FIG. 11 is a flowchart showing an example of the vehicle calculation process in step S55 in FIG. FIG. 12 is a flowchart showing an example of the pedestrian situation determination process in FIG. FIG. 13 is a flowchart showing an example of the pedestrian arithmetic processing in FIG. FIG. 14 is a diagram showing an example of an evaluation value database. FIG. 15 is a flowchart showing an example of the determination process by the determination unit. FIG. 16 is a diagram showing a situation around an intersection according to scenario 1. FIG. 17 is a diagram showing a situation around an intersection according to scenario 2. FIG. 18 is a diagram showing a situation around an intersection according to scenario 3. FIG. 19 is a diagram showing a situation around an intersection according to scenario 4. FIG. 20 is a diagram showing a situation around an intersection according to scenario 5. FIG. 21 is a diagram showing a situation around an intersection according to scenario 6. FIG. 22 is a diagram showing an aspect of information provision executed by the system according to another embodiment.

[Issues to be solved by this disclosure]
In the above-mentioned conventional example, the central device of the system is configured to determine the presence or absence of an abnormal event in each vehicle based on the vehicle information obtained from each vehicle, and notify each vehicle of the determination result.

In the above-mentioned conventional example, it is configured to notify the result of the occurrence of an abnormal event, but for example, the traffic condition of each moving body such as the presence or absence of the possibility of collision between moving bodies is determined by using such a system. When trying to make a prediction, the relationship between each vehicle is diverse, and when providing the predicted traffic situation information to each vehicle, if the obtained information is provided without selection, the information given to each vehicle will be given. The amount becomes enormous, which is not preferable from the viewpoint of the load applied to the system.

This disclosure has been made in view of such circumstances, and an object of the present disclosure is to provide a technique capable of appropriately providing necessary information.

[Effect of the present disclosure]
According to the present disclosure, necessary information can be appropriately provided.

First, the contents of the embodiments will be listed and described.
[Outline of Embodiment]
(1) The information providing system according to the embodiment includes the mobile terminal mounted on at least a part of one or a plurality of moving bodies located in a predetermined area, and the map information of the area. Based on the dynamic map information on which dynamic information about a plurality of moving objects is superimposed, the calculation unit for obtaining the evaluation value of the predicted traffic condition, which is the prediction result of the traffic condition of each of the mobile terminals, and the above-mentioned of each of the mobile terminals. A determination unit that determines whether or not to notify the mobile terminal of the predicted traffic situation for each mobile terminal based on the evaluation value, and a determination unit that determines whether or not to notify the mobile terminal of the predicted traffic condition to the mobile terminal based on the determination result of the determination unit. It has a notification unit for notifying.

According to the above configuration, whether or not to notify the predicted traffic condition is determined for each mobile terminal based on the evaluation value of the predicted traffic condition of each mobile terminal, so that necessary information is appropriately provided to each mobile terminal. can do.
In addition, in order to obtain the evaluation value of the predicted traffic condition of each mobile terminal, the dynamic map information in which the dynamic information about one or more moving objects is superimposed is used, so that the moving objects not equipped with the mobile terminals are included. The evaluation value of the predicted traffic condition can be obtained, and the appropriately predicted traffic condition can be expressed as the evaluation value in each mobile terminal.
As described above, according to the above configuration, it is possible to appropriately provide information on appropriately predicted traffic conditions to each mobile terminal.

(2) In the information providing system, it is preferable that the notification unit notifies the predicted traffic situation to the mobile terminal that the determination unit determines to notify among the mobile terminals.
In this case, the information can be provided only to the mobile terminal for which it is determined that the information on the predicted traffic condition is necessary based on the evaluation value.

(3) Further, in the information providing system, the predicted traffic situation is the target moving body equipped with the mobile terminal whose evaluation value is obtained by the calculation unit, and the target moving body among the one or a plurality of the moving bodies. It is a prediction result of collision prediction with another moving body other than the body, and the calculation unit performs the collision prediction for each of the mobile terminals based on the dynamic map information, and based on the prediction result. It is preferable to obtain the evaluation value as a value for evaluating the safety level of each of the mobile terminals.
In this case, it is possible to obtain an evaluation value regarding the safety level based on the collision prediction between the mobile terminal and the moving body.

(4) Further, in the information providing system, the calculation unit identifies, among the other moving bodies, a moving body that is predicted to collide with the target moving body, based on the prediction result, and said. It is preferable to obtain the evaluation value based on the prediction result regarding the moving body predicted to collide.
In this case, it is possible to obtain an evaluation value regarding the safety level based on the collision prediction of the moving body predicted to collide.

(5) In the information providing system, when either the target moving body or the moving body predicted to collide with the target moving body is a pedestrian, the calculation unit of the pedestrian. It is preferable to add an adjustment value according to the situation to the evaluation value.
In this case, the situation peculiar to the pedestrian can be reflected in the execution determination of providing information to the mobile terminal.

(6) In the information providing system, the calculation unit determines the presence or absence of a blind spot factor that causes a blind spot between the target moving body and the moving body predicted to collide with the target moving body. , The determination result of the presence or absence of the blind spot factor may be added to the evaluation value.
In this case, the presence or absence of the blind spot factor can be reflected in the execution determination of providing information to the mobile terminal.

(7) The information providing system further includes a control unit that controls the mobile terminal so that the predicted traffic situation is output to the user of the mobile terminal, and the control unit refers to the target mobile body. It may be controlled so that the output mode of the predicted traffic situation is different according to the attribute of the moving body predicted to collide.
In this case, it is possible to output to the user in an output mode according to the characteristics of each attribute of the moving body predicted to collide.

(8) Further, in the information providing system, the predicted traffic situation is information indicating whether or not the future movement of the mobile terminal for which the evaluation value is obtained by the calculation unit is comfortable movement, and the calculation. The unit evaluates the future movement comfort of each of the mobile terminals based on the dynamic map information, and obtains the evaluation value based on the future movement comfort of each of the mobile terminals. May be good.
In this case, it is possible to obtain an evaluation value regarding the comfort of each mobile terminal.

(9) Further, the mobile terminal according to another embodiment is a mobile terminal that receives the predicted traffic situation from any one of the information providing systems (1) to (8) and outputs the predicted traffic situation to the user. Is.

(10) Further, the information providing method according to another embodiment is an information providing method for providing information to a mobile terminal, and the one or a plurality of the above-mentioned one or a plurality of information is added to the map information of the area where one or a plurality of moving objects are located. Evaluation of predicted traffic conditions, which is a prediction result of traffic conditions of each of the mobile terminals mounted on at least a part of the one or a plurality of moving bodies, based on dynamic map information on which dynamic information about the moving body is superimposed. A calculation step for obtaining a value, a determination step for determining whether or not to notify the mobile terminal of the predicted traffic condition of each of the mobile terminals for each mobile terminal based on the evaluation value, and a determination by the determination unit. It includes a notification step of notifying the mobile terminal of the predicted traffic situation based on the result.

(11) Further, the computer program of another embodiment is a computer program for causing a computer to execute an information providing process for providing information to a mobile terminal, and one or a plurality of mobile bodies are located in the computer. Traffic of each of the mobile terminals mounted on at least a part of the one or more moving objects based on the dynamic map information in which the dynamic information about the one or more moving objects is superimposed on the map information of the area. For each mobile terminal, based on the evaluation value, a calculation step for obtaining an evaluation value of the predicted traffic condition, which is a prediction result of the situation, and whether or not to notify the mobile terminal of the predicted traffic condition of each of the mobile terminals. It is a computer program for executing the determination determination step and the notification step of notifying the mobile terminal of the predicted traffic situation based on the determination result of the determination unit.

(12) Further, in the information providing device according to another embodiment, the dynamic map information in which the dynamic information about the one or more moving bodies is superimposed on the map information of the area where the one or more moving bodies are located. Based on the above, a calculation unit for obtaining an evaluation value of the predicted traffic condition, which is a prediction result of the traffic condition of each of the mobile terminals mounted on at least a part of the one or a plurality of mobile bodies, and the predicted traffic of each of the mobile terminals. It is provided with a determination unit for determining whether or not to notify the mobile terminal of the situation for each mobile terminal based on the evaluation value.

[Details of Embodiment]
Hereinafter, preferred embodiments will be described with reference to the drawings.
In addition, at least a part of each embodiment described below may be arbitrarily combined.

[Overall configuration of wireless communication system]
FIG. 1 is a schematic view showing an overall configuration of a wireless communication system according to an embodiment. With reference to FIG. 1, the wireless communication system may be wired or wireless with a plurality of communication terminals 1A to 1D capable of wireless communication, one or a plurality of base stations 2 that wirelessly communicate with communication terminals 1A to 1D, and base stations 2. Includes one or more edge servers 3 to communicate with and one or more core servers 4 to communicate with the edge server 3 by wire or wirelessly. Communication terminals 1A to 1D are represented and also referred to as communication terminal 1.

The core server 4 is installed in the core data center (DC) of the core network. The edge server 3 is installed in a distributed data center (DC) of a metro network. A metro network is, for example, a communication network constructed in each city. Each metro network in each area is connected to the core network. The base station 2 is communicably connected to any edge server 3 of a distributed data center included in the metro network.

The core server 4 is communicably connected to the core network. The edge server 3 is communicably connected to the metro network. Therefore, the core server 4 can communicate with the edge server 3 and the base station 2 belonging to each metro network via the core network and the metro network. The base station 2 comprises at least one of a macrocell base station, a microcell base station, and a picocell base station.

In the wireless communication system of the present embodiment, the edge server 3 and the core server 4 are general-purpose servers capable of SDN (Software-Defined Networking). The relay device such as the base station 2 and the repeater (not shown) is a transport device capable of SDN. Therefore, the network virtualization technology can define a plurality of virtual networks (network slices) S1 to S4 that satisfy conflicting service requirements such as low-latency communication and large-capacity communication as physical devices of a wireless communication system.

The above network virtualization technology is the basic concept of the "fifth generation mobile communication system" (hereinafter, abbreviated as "5G" (5th Generation)) whose standardization is currently underway. Therefore, the wireless communication system according to the present embodiment conforms to, for example, 5G.
However, the wireless communication system according to the present embodiment may be a mobile communication system capable of defining a plurality of network slices (hereinafter, also referred to as “slices”) S1 to S4 according to predetermined service requirements such as delay time. It is not limited to 5G. Further, the layer of the slice to be defined is not limited to four layers and may be five or more layers.

In the example of FIG. 1, each network slice S1 to S4 is defined as follows. The slice S1 is a network slice defined so that the communication terminals 1A to 1D communicate directly with each other. The communication terminals 1A to 1D that directly communicate with the slice S1 are also referred to as "node N1".

The slice S2 is a network slice defined so that the communication terminals 1A to 1D communicate with the base station 2. The highest communication node (base station 2 in the figure) in the slice S2 is also referred to as “node N2”.

The slice S3 is a network slice defined so that the communication terminals 1A to 1D communicate with the edge server 3 via the base station 2. The highest communication node (edge server 3 in the figure) in the slice S3 is also referred to as “node N3”. In slice S3, node N2 serves as a relay node. That is, data communication is performed by the uplink route of node N1 → node N2 → node N3 and the downlink route of node N3 → node N2 → node N1.

The slice S4 is a network slice defined so that the communication terminals 1A to 1D communicate with the core server 4 via the base station 2 and the edge server 3. The highest communication node (core server 4 in the figure) in the slice S4 is also referred to as “node N4”. In slice S4, node N2 and node N3 serve as relay nodes. That is, data communication is performed by the uplink route of node N1 → node N2 → node N3 → node N4 and the downlink route of node N4 → node N3 → node N2 → node N1.

In the slice S4, there is a case of routing in which the edge server 3 is not used as a relay node. In this case, data communication is performed by the uplink route of node N1 → node N2 → node N4 and the downlink route of node N4 → node N2 → node N1.

When a plurality of base stations 2 (nodes N2) are included in the slice S2, routing that follows the communication between the base stations 2 and 2 is also possible. Similarly, when a plurality of edge servers 3 (nodes N3) are included in the slice S3, routing that traces communication between the edge servers 3 and 3 is also possible. When a plurality of core servers 4 (nodes N4) are included in the slice S4, routing that follows the communication of the core servers 4 and 4 is also possible.

The communication terminal 1A is a wireless communication device mounted on the vehicle 5. The vehicle 5 includes not only ordinary passenger cars but also public vehicles such as fixed-route buses and emergency vehicles. The vehicle 5 may be a two-wheeled vehicle (motorcycle) as well as a four-wheeled vehicle. The drive system of the vehicle 5 may be an engine drive, an electric motor drive, or a hybrid system. The driving method of the vehicle 5 may be either normal driving in which the passenger performs operations such as acceleration / deceleration and steering wheel steering, or automatic driving in which the software executes the operations.

The communication terminal 1A of the vehicle 5 may be an existing wireless communication device in the vehicle 5 or a mobile terminal brought into the vehicle 5 by the passenger. The passenger's mobile terminal temporarily becomes an in-vehicle wireless communication device by being connected to the in-vehicle LAN (Local Area Network) of the vehicle 5.

The communication terminal 1B is a mobile terminal (pedestrian terminal) carried by the pedestrian 7. The pedestrian 7 is a person who moves on foot outdoors such as a road or a parking lot, and indoors such as inside a building or an underground shopping mall. The pedestrian 7 includes not only a person walking but also a person riding a bicycle or the like having no power source.

The communication terminal 1C is a wireless communication device mounted on the roadside sensor 8. The roadside sensor 8 is an image-type vehicle sensor installed on the road, a security camera installed outdoors or indoors, and the like. The communication terminal 1D is a wireless communication device mounted on the traffic signal controller 9 at an intersection.

The service requirements for slices S1 to S4 are as follows. The delay times D1 to D4 allowed for slices S1 to S4 are defined so that D1 <D2 <D3 <D4. For example, D1 = 1 ms, D2 = 10 ms, D3 = 100 ms, D4 = 1s. The data traffic C1 to C4 per predetermined period (for example, one day) allowed for the slices S1 to S4 is defined so that C1 <C2 <C3 <C4. For example, C1 = 20GB, C2 = 100GB, C3 = 2TB, C4 = 10TB.

As described above, in the wireless communication system of FIG. 1, direct wireless communication in the slice S1 (for example, "vehicle-to-vehicle communication" in which the communication terminal 1A of the vehicle 5 directly communicates) and a slice via the base station 2 Wireless communication of S2 is possible. However, in the present embodiment, an information providing service for a user included in a relatively wide service area (for example, an area including a municipality or a prefecture) using the slice S3 and the slice S4 in the wireless communication system of FIG. 1 is provided. is assumed.

[Internal configuration of edge server and core server]
FIG. 2 is a block diagram showing an example of the internal configuration of the edge server 3 and the core server 4. With reference to FIG. 2, the edge server 3 includes a control unit 31 including a CPU (Central Processing Unit), a ROM (Read Only Memory) 32, a RAM (Random Access Memory) 33, a storage unit 34, and a communication unit 35. including.

The control unit 31 can control the operation of each hardware by reading one or a plurality of programs stored in advance in the ROM 32 into the RAM 33 and executing the program, and can communicate the computer device with the core server 4, the base station 2, and the like. It functions as an edge server 3.

The RAM 33 is composed of a volatile memory element such as a SRAM (Static RAM) or a DRAM (Dynamic RAM), and temporarily stores a program executed by the control unit 31 and data necessary for the execution.

The storage unit 34 is composed of a flash memory, a non-volatile memory element such as EEPROM (Electrically Erasable Programmable Read Only Memory), or a magnetic storage device such as a hard disk.

The communication unit 35 has a function of communicating with the core server 4, the base station 2, and the like via the metro network. The communication unit 35 transmits the information given from the control unit 31 to the external device via the metro network, and gives the information received via the metro network to the control unit 31.

The storage unit 34 stores a dynamic information map (hereinafter, also simply referred to as “map”) M1 as dynamic map information. The map M1 is a collection of data (virtual database) in which dynamic information that changes from moment to moment is superimposed on a high-definition digital map that is static information.
The information constituting the map M1 includes the following "dynamic information" and "static information".

"Dynamic information" refers to dynamic data that requires a delay time of less than one second. For example, position information of a moving body (vehicle, pedestrian, etc.) and signal information utilized as ITS (Intelligent Transport Systems) look-ahead information correspond to dynamic information.
The position information of the moving body included in the dynamic information does not have a wireless communication function in addition to the position information of the vehicle 5 and the pedestrian 7 capable of wireless communication by having the communication terminals 1A and 1B. The position information of the vehicle 5 and the pedestrian 7 is also included.

"Static information" refers to static data that allows a delay time of up to one month. For example, road surface information, lane information, three-dimensional structure data, and the like correspond to static information.

The control unit 31 of the edge server 3 updates the dynamic information of the map M1 stored in the storage unit 34 at predetermined update cycles (update process). Specifically, the control unit 31 collects various sensor information acquired by the vehicle 5 or the roadside sensor 8 in the service area of the own device from each communication terminal 1A to 1D at a predetermined update cycle. The dynamic information of the map M1 is updated based on the collected sensor information.

When the control unit 31 receives the dynamic information request message from the communication terminals 1A and 1B of the predetermined user, the control unit 31 sends the latest dynamic information to the communication terminals 1A and 1B from which the request message is sent at each predetermined distribution cycle. Deliver (delivery process).
The control unit 31 collects traffic information and weather information of each place in the service area from the traffic control center, the private weather business support center, etc., and updates the dynamic information or static information of the map M1 based on the collected information. You may.

Further, referring to FIG. 2, the core server 4 includes a control unit 41 including a CPU and the like, a ROM 42, a RAM 43, a storage unit 44, and a communication unit 45.

The control unit 41 controls the operation of each hardware by reading one or a plurality of programs stored in advance in the ROM 32 into the RAM 43 and executing the program, and functions as a core server 4 capable of communicating the computer device with the edge server 3. Let me.

The RAM 43 is composed of a volatile memory element such as an SRAM or a DRAM, and temporarily stores a program executed by the control unit 41 and data necessary for the execution.

The storage unit 44 is composed of a non-volatile memory element such as a flash memory or EEPROM, a magnetic storage device such as a hard disk, or the like.

The communication unit 45 has a function of communicating with the edge server 3, the base station 2, and the like via the core network. The communication unit 45 transmits the information given from the control unit 41 to the external device via the core network, and gives the information received via the core network to the control unit 41.

As shown in FIG. 2, the storage unit 44 of the core server 4 stores the information map M2. The data structure of the map M2 (the data structure including the dynamic information and the static information) is the same as the data structure of the map M1. The map M2 may be a map of the same service area as the map M1 of the specific edge server 3, or may be a wider area map in which each map M1 held by the plurality of edge servers 3 is integrated.

Similar to the edge server 3, the control unit 41 of the core server 4 updates the dynamic information of the map M2 stored in the storage unit 44, and distributes the dynamic information in response to the request message. And may be done. That is, the control unit 41 can perform update processing and distribution processing based on the map M2 of its own device independently of the edge server 3.
That is, the control unit 41 can independently execute the dynamic information update process and the distribution process based on the map M2 of its own device, separately from the edge server 3.

However, the core server 4 belonging to the slice S4 has a larger delay time for communication with the communication terminals 1A to 1D than the edge server 3 belonging to the slice S3.
Therefore, even if the core server 4 independently updates the dynamic information of the map M2, the real-time property is inferior to that of the dynamic information of the map M1 managed by the edge server 3.
Therefore, for example, it is preferable that the control unit 31 of the edge server 3 and the control unit 41 of the core server 4 process the dynamic information update processing and the distribution processing in a distributed manner according to the priority defined for each predetermined area. ..

[Internal configuration of in-vehicle device]
FIG. 3 is a block diagram showing an example of the internal configuration of the in-vehicle device 50 of the vehicle 5 equipped with the communication terminal 1A.
With reference to FIG. 3, the in-vehicle device 50 mounted on the vehicle 5 includes a control unit (ECU: Electronic Control Unit) 51, a GPS receiver 52, a vehicle speed sensor 53, a gyro sensor 54, a storage unit 55, a display 56, and a speaker. It includes 57, an input device 58, an in-vehicle camera 59, a radar sensor 60, and a communication unit 61.

The communication unit 61 is the above-mentioned communication terminal 1A (a wireless communication device capable of communication conforming to 5G). Therefore, the in-vehicle device 50 of the vehicle 5 can communicate with the edge server 3 as a kind of mobile terminal belonging to the slice S3. Further, the in-vehicle device 50 of the vehicle 5 can also communicate with the core server 4 as a kind of mobile terminal belonging to the slice S4.

The control unit 51 is a computer device that searches the route of the vehicle 5 and controls other electronic devices 52 to 61. The control unit 51 obtains the vehicle position of the own vehicle from the GPS signal periodically acquired by the GPS receiver 52. Further, the control unit 51 complements the vehicle position and direction based on the input signals of the vehicle speed sensor 53 and the gyro sensor 54, and grasps the accurate current position and direction of the vehicle 5.

The GPS receiver 52, the vehicle speed sensor 53, and the gyro sensor 54 are sensors that measure the current position, speed, and orientation of the vehicle 5.
The storage unit 55 includes a map database. The map database provides road map data to the control unit 51. The road map data includes link data and node data, and is stored in a recording medium such as a DVD, CD-ROM, memory card, or HDD. The storage unit 55 reads out the necessary road map data from the recording medium and provides it to the control unit 51.

The display 56 and the speaker 57 are output devices for notifying the user who is a passenger of the vehicle 5 of various information generated by the control unit 51. Specifically, the display 56 displays an input screen at the time of route search, a map image around the own vehicle, route information to the destination, and the like. The speaker 57 outputs an announcement or the like for guiding the vehicle 5 to the destination by voice. These output devices can also notify the passenger of the provided information received by the communication unit 61.

The input device 58 is a device for the passenger of the vehicle 5 to perform various input operations. The input device 58 includes an operation switch provided on the handle, a touch panel provided on the joystick display 56, and a combination thereof. The input device 58 may be a voice recognition device that accepts input by voice recognition of the passenger. The input signal generated by the input device 58 is transmitted to the control unit 51.

The in-vehicle camera 59 is an image sensor that captures an image in front of the vehicle 5. The vehicle-mounted camera 59 may be either monocular or compound eye. The radar sensor 60 is a sensor that detects an object existing in front of or around the vehicle 5 by a millimeter wave radar, a LiDAR method, or the like.
The control unit 51 executes driving support control such as outputting a warning to the occupant during driving to the display 56 or performing a forced braking intervention based on the measurement data by the in-vehicle camera 59 and the radar sensor 60. be able to.

The control unit 51 is composed of an arithmetic processing unit such as a microcomputer that executes various control programs stored in the storage unit 55.
The control unit 51 has a function of displaying a map image on the display 56 and a route from the departure point to the destination (including the position of the relay point if there is a relay point) as a function realized by executing the control program. It has various navigation functions such as a function of calculating the number of vehicles 5 and a function of guiding the vehicle 5 to the destination according to the calculated route.

The control unit 51 performs an object recognition process for recognizing an object in front of or around the own vehicle and a measurement for calculating the distance to the recognized object based on the measurement data of at least one of the in-vehicle camera 59 and the radar sensor 60. It has a function to execute distance processing.
The control unit 51 can calculate the position information of the object recognized by the object recognition process from the distance calculated by the distance measurement process and the sensor position of the own vehicle.

The control unit 51 can execute each of the following processes in communication with the edge server 3 (which may be the core server 4).
1) Request message transmission process 2) Dynamic information reception process 3) Change point information generation process 4) Change point information transmission process

The request message transmission process is a process of transmitting a control packet requesting the delivery of the dynamic information of the map M1 that the edge server 3 sequentially updates to the edge server 3. The control packet includes the vehicle ID of the own vehicle.
When the edge server 3 receives the request message including the predetermined vehicle ID, the edge server 3 distributes the dynamic information to the communication terminal 1A of the vehicle 5 having the source vehicle ID at a predetermined distribution cycle.

The dynamic information reception process is a process of receiving the dynamic information distributed by the edge server 3 to the own device.
The change point information generation process by the control unit 51 calculates the change between the received dynamic information and the sensor information of the own vehicle at the time of reception, and calculates the change between the two pieces of information. This is a process for generating change point information.
The change point information generated by the control unit 51 is, for example, the following information examples a1 to a2.

Information example a1: Change point information regarding a recognized object The control unit 51 detects an object X (moving objects such as vehicles and pedestrians and obstacles) that is not included in the received dynamic information by its own object recognition process. If so, the detected image data of the object X and the position information are used as the change point information. When the position information of the object X included in the received dynamic information and the position information of the object X obtained by its own object recognition process deviate from each other by a predetermined threshold value or more, the control unit 51 detects the detected object X. The image data of the above and the difference value of the position information of both are used as the change point information.

Information example a2: Change point information regarding own vehicle The control unit 51 deviates between the position information of the own vehicle included in the received dynamic information and the vehicle position of the own vehicle calculated by itself by a GPS signal by a predetermined threshold value or more. If so, the difference between the two is used as the change point information. If the orientation of the own vehicle included in the received dynamic information and the orientation of the own vehicle calculated by itself from the measurement data of the gyro sensor 54 deviate from each other by a predetermined threshold value or more, the control unit 51 makes a difference between the two. The value is used as the change point information.

When the change point information is generated as described above, the control unit 51 generates a communication packet addressed to the edge server 3 including the generated change point information and the vehicle ID of the own vehicle.
The change point information transmission process is a process of transmitting the above-mentioned communication packet including the change point information to the edge server 3. The change point information transmission process is performed within the dynamic information distribution cycle by the edge server 3.

Based on the dynamic information received from the edge server 3 and the like, the control unit 51 executes driving support control such as outputting a warning to the occupant during driving to the display 56 or performing a forced braking intervention. You can also do it.

[Internal configuration of pedestrian terminal]
FIG. 4 is a block diagram showing an example of the internal configuration of the pedestrian terminal 70 (communication terminal 1B).
The pedestrian terminal 70 of FIG. 4 is, for example, a wireless communication device capable of communication processing conforming to 5G. Therefore, the pedestrian terminal 70 can communicate with the edge server 3 as a kind of mobile terminal belonging to the slice S3. Further, the pedestrian terminal 70 can also communicate with the core server 4 as a kind of mobile terminal belonging to the slice S4.

With reference to FIG. 4, the pedestrian terminal 70 includes a control unit 71, a storage unit 72, a display unit 73, an operation unit 74, and a communication unit 75.

The communication unit 75 is a communication interface that wirelessly communicates with the base station 2 of the carrier that provides the 5G service. The communication unit 75 converts the RF signal from the base station 2 into a digital signal and outputs it to the control unit 71. Further, the communication unit 75 converts the digital signal input from the control unit 71 into an RF signal and transmits it to the base station 2.

The control unit 71 includes a CPU, a ROM, and a RAM. The control unit 71 reads and executes the program stored in the storage unit 72, and controls the entire operation of the pedestrian terminal 70.

The storage unit 72 is composed of a hard disk, a non-volatile memory, or the like, and stores various computer programs and data. Further, the storage unit 72 stores the mobile ID which is the identification information of the pedestrian terminal 70. The mobile ID is, for example, a unique user ID or MAC address of the carrier contractor.

Further, the storage unit 72 stores various application software arbitrarily installed by the user. The application software stored in the storage unit 72 includes, for example, application software for enjoying an information providing service for receiving dynamic information of the map M1 by communicating with an edge server 3 (may be a core server 4). ..

The operation unit 74 is composed of various operation buttons and a touch panel function of the display unit 73. The operation unit 74 outputs an operation signal corresponding to the user's operation to the control unit 71.

The display unit 73 is, for example, a liquid crystal display. The display unit 73 presents various types of information to the user. For example, the display unit 73 displays the image data of the information maps M1 and M2 transmitted from the servers 3 and 4 on the screen.

The control unit 71 uses a time synchronization function to acquire the current time from GPS signals, a position detection function to measure the current position (latitude, longitude and altitude) of the own vehicle from GPS signals, and a direction sensor to determine the direction of the pedestrian 7. It also has an orientation detection function for measuring.

The control unit 71 can execute each of the following processes in communication with the edge server 3 (which may be the core server 4).
1) Request message transmission process 2) Dynamic information reception process 3) Change point information generation process 4) Change point information transmission process

The request message transmission process is a process of transmitting a control packet requesting the delivery of the dynamic information of the map M1 that the edge server 3 sequentially updates to the edge server 3. The control packet includes the mobile ID of the pedestrian terminal 70.
When the edge server 3 receives the request message including the predetermined mobile ID, the edge server 3 distributes the dynamic information to the communication terminal 1B of the pedestrian 7 having the transmission source mobile ID at a predetermined distribution cycle.

The dynamic information reception process is a process of receiving the dynamic information distributed by the edge server 3 to the own device.
The change point information generation process by the control unit 71 calculates the change between the received dynamic information and the sensor information of the own vehicle at the time of reception, and calculates the change between the two pieces of information. This is a process for generating change point information.
The change point information generated by the control unit 71 is, for example, the following information example.

Information example: Change point information about own vehicle The control unit 71 sets a predetermined threshold value between the position information of the own pedestrian 7 included in the received dynamic information and the position of the own pedestrian 7 calculated by itself using GPS signals. If there is a deviation of the above, the difference between the two is used as the change point information. When the direction of the self-pedestrian 7 included in the received dynamic information and the direction of the self-pedestrian 7 calculated by the direction sensor deviate by a predetermined threshold value or more, the control unit 71 sets a difference value between the two. Use as change point information.

When the change point information is generated as described above, the control unit 71 generates a communication packet addressed to the edge server 3 including the generated change point information and the mobile ID of the own terminal 70.
The change point information transmission process is a process of transmitting the above-mentioned communication packet including the change point information to the edge server 3. The change point information transmission process is performed within the dynamic information distribution cycle by the edge server 3.

As described above, the control unit 71 transmits the state information including the position and direction information of the own terminal 70 to the edge server 3 by performing the change point information generation process and the change point information transmission process.

[Internal configuration of roadside sensor]
FIG. 5 is a block diagram showing an example of the internal configuration of the roadside sensor 8 equipped with the wireless communication device which is the communication terminal 1C. With reference to FIG. 5, the roadside sensor 8 includes a control unit 81, a storage unit 82, a roadside camera 83, a radar sensor 84, and a communication unit 85.

The communication unit 85 is the above-mentioned communication terminal 1C, that is, a wireless communication device capable of communication processing conforming to, for example, 5G. Therefore, the roadside sensor 8 can communicate with the edge server 3 as a kind of fixed terminal belonging to the slice S3. Further, the roadside sensor 8 can also communicate with the core server 4 as a kind of fixed terminal belonging to the slice S4.

The control unit 81 includes a CPU, a ROM, and a RAM. The control unit 81 reads and executes the program stored in the storage unit 82, and controls the overall operation of the roadside sensor 8.

The storage unit 82 is composed of a hard disk, a non-volatile memory, or the like, and stores various computer programs and data. Further, the storage unit 82 stores the sensor ID, which is the identification information of the roadside sensor 8. The sensor ID is, for example, a user ID or MAC address unique to the owner of the roadside sensor 8.

The roadside camera 83 is an image sensor that captures an image of a predetermined shooting area. The roadside camera 83 may be monocular or compound eye. The radar sensor 60 is a sensor that detects an object existing in front of or around the vehicle 5 by a millimeter wave radar, a LiDAR method, or the like.

When the roadside sensor 8 is a security camera, the control unit 81 transmits the captured video data and the like to the computer device of the security manager. When the roadside sensor 8 is an image type vehicle sensor, the control unit 81 transmits the captured video data or the like to the traffic control center.

The control unit 81 performs object recognition processing for recognizing an object in the photographing area and distance measurement processing for calculating the distance to the recognized object based on the measurement data of at least one of the roadside camera 83 and the radar sensor 84. Has the function of executing. The control unit 51 can calculate the position information of the object recognized by the object recognition process from the distance calculated by the distance measurement process and the sensor position of the own vehicle.

The control unit 81 can execute each of the following processes in communication with the edge server 3 (which may be the core server 4).
1) Change point information generation process 2) Change point information transmission process

The change point information generation process in the roadside sensor 8 is performed based on the comparison result between the previous sensor information and the current sensor information for each predetermined measurement cycle (for example, the distribution cycle of dynamic information by the edge server 3). This is a process of calculating the change between the sensor information and generating the change point information which is the information related to the difference between the two pieces of information.
The change point information generated by the roadside sensor 8 is, for example, the following information example b1.

Information example b1: Change point information regarding a recognized object The control unit 81 detects an object Y (moving objects such as vehicles and pedestrians and obstacles) that was not detected in the previous object recognition process by this object recognition process. If so, the image data and position information of the detected object Y are used as change point information.
When the position information of the object Y obtained by the previous object recognition process and the position information of the object Y obtained by the current object recognition process deviate from each other by a predetermined threshold value or more, the control unit 81 detects the object Y. The position information of and the difference value between the two are used as change point information.

When the change point information is generated as described above, the control unit 81 generates a communication packet addressed to the edge server 3 including the generated change point information and the sensor ID of the own device.
The change point information transmission process is a process of transmitting the above-mentioned communication packet including the change point information in the data to the edge server 3. The change point information transmission process is performed within the dynamic information distribution cycle by the edge server 3.

[Overall configuration of information provision system]
FIG. 6 is an overall configuration diagram of the information providing system according to the present embodiment.
With reference to FIG. 6, the information providing system according to the present embodiment includes a large number of vehicles 5, pedestrian terminals 70, and roadside sensors 8 scattered in the service area (real world) of the edge server 3 which is relatively wide. , The edge server 3 which is capable of wireless communication with low delay by communication conforming to 5G performed via these communication nodes and the base station 2 and functions as an information providing device. That is, the information providing system includes a part or all of the above-mentioned wireless communication system.
In addition, the moving body existing in the service area of the edge server 3 includes a vehicle 5 capable of wireless communication by mounting a communication terminal 1A and an in-vehicle device 50, and a pedestrian 7 carrying a pedestrian terminal 70. Also included are a vehicle 5 that does not have a wireless communication function and a pedestrian 7 that does not carry a pedestrian terminal 70.

The edge server 3 collects the above-mentioned change point information at a predetermined cycle from the in-vehicle device 50 of the vehicle 5 in the service area, the pedestrian terminal 70, the roadside sensor 8, and the like (step S31).
The edge server 3 integrates the collected change point information by map matching (integration process), and updates the dynamic information of the information map M1 under management (step S32).

The edge server 3 transmits the latest dynamic information to the requesting communication node when requested by the vehicle-mounted device 50 of the vehicle 5 or the pedestrian terminal 70 (step S33). As a result, for example, the vehicle 5 that has received the dynamic information can utilize the dynamic information for driving support of the passenger.
The edge server 3 may transmit the map M1 updated in step S32 as dynamic information to the requesting communication node.

When the vehicle 5 that has received the dynamic information detects the change point information with the sensor information of the own vehicle based on the dynamic information, the vehicle 5 transmits the detected change point information to the edge server 3 (step S34).

As described above, in the information providing system of the present embodiment, the change point information is collected (step S31) → the dynamic information is updated (step S32) → the dynamic information is distributed (step S33) → the change point information is detected by the vehicle. Information processing at each communication node circulates in the order of (step S34) → collection of change point information (step S31).

Although FIG. 6 illustrates an information providing system including only one edge server 3, the information providing system may include a plurality of edge servers 3, and instead of the edge server 3 or in addition to the edge server 3. It may include one or more core servers 4.
Further, the information map M1 managed by the edge server 3 may be a map in which at least dynamic information of an object is superimposed on map information such as a digital map. This point is the same in the case of the information map M2 of the core server.

[Dynamic information update processing and distribution processing]
FIG. 7 is a sequence diagram showing an example of dynamic information update processing and distribution processing executed in cooperation with the pedestrian terminal 70, the vehicle-mounted device 50 of the vehicle 5, the roadside sensor 8, and the edge server 3.
In the following description, the execution subject is the pedestrian terminal 70, the in-vehicle device 50 of the vehicle 5, the roadside sensor 8 and the edge server 3, but the actual execution subject is their control units 71, 51, 81, 31. Is.
U1, U2 ... In FIG. 7 are dynamic information distribution cycles.

With reference to FIG. 7, when the edge server 3 receives the dynamic information request message from the pedestrian terminal 70 and the vehicle-mounted device 50 of the vehicle 5 (step S1), the edge server 3 sends the latest dynamic information at the time of reception to the transmission source. It is delivered to the pedestrian terminal 70 and the in-vehicle device 50 of the vehicle 5 (step S2).

Preferably, in step S1, the edge server 3 analyzes the received request message, and when the information indicating the request source included in the message is the information indicating the pre-registered communication terminal 1, the request message is described. Send dynamic information to the source.

If there is a request message from either the pedestrian terminal 70 or the in-vehicle device 50 in step S1, the dynamic information is delivered only to one of the communication terminals that is the source of the request message in step S2. Will be done.

When the pedestrian terminal 70 that has received the dynamic information delivered in step S2 generates change point information within the delivery cycle U1 (step S3), it transmits the generated change point information to the edge server 3 (step S6). ).
When the in-vehicle device 50 that has received the dynamic information delivered in step S2 generates change point information from the comparison result between the dynamic information and its own sensor information in the delivery cycle U1 (step S4), the generated change. The point information is transmitted to the edge server 3 (step S6).
Further, when the roadside sensor 8 generates the change point information of its own sensor information within the distribution cycle U1, the generated change point information is transmitted to the edge server 3 (step S6).

When the edge server 3 receives the change point information from the pedestrian terminal 70, the in-vehicle device 50, and the roadside sensor 8 within the update cycle U1, the edge server 3 updates the change point information with dynamic information reflecting the change point information (step S7). The updated dynamic information is distributed to the pedestrian terminal 70 and the in-vehicle device 50 (step S8).

For example, when only the in-vehicle device 50 generates change point information within the distribution cycle U1, only the change point information generated by the in-vehicle device 50 in step S4 is transmitted to the edge server 3 (step S6), and the change point is transmitted. The dynamic information that reflects only the information is updated (step S7).
If the pedestrian terminal 70, the in-vehicle device 50, and the roadside sensor 8 do not provide change point information within the distribution cycle U1, the processes of steps S3 to S7 are not executed, and the dynamic information for the previous transmission is not executed. The same dynamic information as in (step S2) is delivered to the pedestrian terminal 70 and the in-vehicle device 50 (step S8).
In this way, the edge server 3 updates the dynamic information in step S7 based on the change point information transmitted within the distribution cycle U1.

When the pedestrian terminal 70 that has received the dynamic information delivered in step S8 generates change point information within the delivery cycle U2 (step S9), the generated change point information is transmitted to the edge server 3 (step S12). ).
When the in-vehicle device 50 that has received the dynamic information delivered in step S8 generates change point information from the comparison result between the dynamic information and its own sensor information in the delivery cycle U2 (step S10), the generated change. The point information is transmitted to the edge server 3 (step S12).
Further, when the roadside sensor 8 generates the change point information of its own sensor information within the distribution cycle U2, the roadside sensor 8 transmits the generated change point information to the edge server 3 (step S12).

When the edge server 3 receives the change point information from the in-vehicle device 50 and the roadside sensor 8 within the distribution cycle U2, the edge server 3 updates the dynamic information reflecting the change point information (step S13), and the updated dynamic information. Is delivered to the pedestrian terminal 70 and the in-vehicle device 50 (step S14).
In this way, the edge server 3 updates the dynamic information in step S13 based on the change point information transmitted in the distribution cycle U2.

The processing after step S14 is described above until the request message for stopping the distribution of dynamic information is received from both the pedestrian terminal 70 and the vehicle 5 or the communication between the pedestrian terminal 70 and the vehicle 5 is cut off. It is repeated by the same sequence as.

[Providing information to mobile terminals]
The information providing system of the present embodiment has a function of providing information on predicted traffic conditions to a pedestrian terminal 70 mounted on one or a plurality of moving bodies located in a service area and an in-vehicle device 50 of a vehicle 5. Have. The predicted traffic condition indicates the result of predicting the future traffic condition.

FIG. 8 is a functional block diagram of the edge server 3 showing a function for providing a predicted traffic condition.
The control unit 31 of the edge server 3 functionally has a calculation unit 31a, a determination unit 31b, a notification unit 31c, and a detection unit 31d. Each of these functions is realized by the control unit 31 executing the program stored in the storage unit 34.

Based on the dynamic information map M1, the calculation unit 31a is a mobile terminal (pedestrian terminal 70 and an in-vehicle vehicle) mounted on a moving body (pedestrian 7, vehicle 5) located in the service area represented by the dynamic information map M1. Device 50) It has a function of predicting each traffic condition and obtaining an evaluation value of the predicted traffic condition. The calculation unit 31a refers to the mobile database 34a (described later) in which the information obtained from the dynamic information map M1 is registered, and obtains an evaluation value of the predicted traffic condition.

The determination unit 31b has a function of determining whether or not to notify the mobile terminals (pedestrian terminal 70 and the in-vehicle device 50) of information on the predicted traffic situation of each mobile terminal based on the evaluation value. There is.
The notification unit 31c has a function of notifying the mobile terminal of information on the predicted traffic situation based on the determination result of the determination unit 31b.
Further, the detection unit 31d detects a plurality of moving objects (pedestrians 7 and vehicles 5) whose position information is included in the dynamic information of the dynamic information map M1, and the moving object information indicating the status of each moving object. Has the function of generating.

In addition to the above-mentioned dynamic information map M1, the storage unit 34 stores the mobile database 34a and the evaluation value database 34b.
FIG. 9 is a diagram showing an example of the mobile database 34a.
As shown in FIG. 9, the mobile body information generated by the detection unit 31d is registered in the mobile body database 34a.
The mobile database 34a is managed and updated by the detection unit 31d.
The detection unit 31d refers to the dynamic information map M1, and when the position information of a new moving body (pedestrian 7, vehicle 5) is registered in the dynamic information, the detection unit 31d assigns the moving body ID to the moving body. The mobile information corresponding to the mobile ID is generated and registered in the mobile database 34a. In this way, the detection unit 31d detects the moving body whose position information is registered in the dynamic information map M1 and assigns the moving body ID to each moving body to generate the moving body information.

The mobile body information includes information regarding the presence / absence of a communication function, a vehicle ID (mobile ID), attribute information of the mobile body, position information, directional information indicating a moving direction, and speed information indicating a moving speed. The attribute information is information indicating the type of the moving body, for example, information indicating whether the moving body is a vehicle or a pedestrian. Further, the attribute information includes information indicating whether the moving body is an adult or a child when the moving body is a pedestrian, and information indicating the orientation of the body. Further, the attribute information includes information indicating whether or not the pedestrian is a crutch or a wheelchair user, information indicating the appearance such as the color and type of clothes, and information indicating whether or not the pedestrian is a walking smartphone. May be good.

The mobile database 34a is provided with columns for registering each of the mobile ID, information regarding the presence / absence of a communication function, vehicle ID (mobile ID), mobile attribute information, position information, orientation information, and speed information. ing.

The detection unit 31d refers to the dynamic information map M1 and generates moving body information for each moving body.
Among the mobile information, the detection unit 31d uses the information included in the mobile database 34a for the information regarding the presence / absence of the communication function included in the dynamic information map M1, the vehicle ID (mobile ID), and the position information. Get it as it is.
Regarding the attribute information, the detection unit 31d refers to the image data of the moving body captured by the camera or the like included in the dynamic information map M1, determines the attributes of each moving body, and generates the attribute information based on the determination. To do.
The detection unit 31d calculates the directional information and the velocity information based on the time-dependent change of the position information of each of the moving objects included in the dynamic information map M1.

The detection unit 31d repeatedly generates mobile information for each mobile and registers the mobile information in the mobile database 34a, and updates the mobile database 34a at any time. As a result, the mobile information registered in the mobile database 34a is maintained at the latest information.

Further, the evaluation value database 34b in FIG. 8 is a database for registering the evaluation value of the predicted traffic condition obtained by the calculation unit 31a. The evaluation value database 34b will be described later.

[Calculation processing of evaluation value]
FIG. 10 is a flowchart showing an example of calculation processing of the evaluation value of the predicted traffic condition by the calculation unit 31a.
As shown in FIG. 10, first, the calculation unit 31a reads the mobile database 34a (step S51) and identifies the mobile having the communication function as an evaluation target (step S52). Information on the predicted traffic situation can be provided to a mobile body having a pedestrian terminal 70 or an in-vehicle device 50. Therefore, the calculation unit 31a specifies the moving body having the pedestrian terminal 70 and the in-vehicle device 50 as the evaluation target for obtaining the evaluation value.
That is, the evaluation target refers to a mobile terminal whose evaluation value is obtained by the calculation unit 31a.
In the following description, the evaluation target is a movement having a pedestrian terminal 70 or an in-vehicle device 50 to be evaluated, in addition to the pedestrian terminal 70 or the in-vehicle device 50 carried or mounted on the moving body. It may refer to the body (target mobile body).

Next, the calculation unit 31a performs the evaluation value calculation process (step S53).
In the evaluation value calculation process, the calculation unit 31a sequentially executes the processing for each of the specified evaluation targets, and repeats the processing until all the evaluation targets are processed.
In the evaluation value calculation process, the calculation unit 31a first determines whether or not the attribute to be evaluated is a vehicle (step S54).

When it is determined that the attribute to be evaluated is a vehicle (step S54), the calculation unit 31a proceeds to step S55 and performs a vehicle calculation process. The calculation unit 31a obtains an evaluation value to be evaluated in the vehicle calculation process (step S55).

FIG. 11 is a flowchart showing an example of the vehicle calculation process in step S55 in FIG.
As shown in FIG. 11, the calculation unit 31a identifies a moving body (another moving body) other than the evaluation target (step S61), and the evaluation target (target moving body) collides with the moving body other than the evaluation target. The estimated time is calculated for each of the moving objects other than the evaluation target (step S62).

The calculation unit 31a refers to the moving object database 34a, and when the evaluation target collides with the moving object other than the evaluation target based on the position information, the orientation information, and the speed information of the evaluation target and the moving object other than the evaluation target, respectively. The estimated collision time is calculated.
When there is no possibility of collision from the position information and the direction information, the calculation unit 31a sets the collision prediction time to an extremely large predetermined value (for example, 5 minutes). Further, the calculation unit 31a sets the collision prediction time to the predetermined value even when the obtained collision prediction time is equal to or longer than the predetermined value.

In this way, the calculation unit 31a predicts the collision between the evaluation target and the moving object other than the evaluation target based on the dynamic information map M1, and obtains the collision prediction time as the prediction result (predicted traffic condition) of the collision prediction. ..

The calculation unit 31a specifies the moving body having the shortest collision prediction time among the collision prediction times calculated for each of the moving bodies other than the evaluation target as the collision prediction target (step S63).
Here, it can be determined that the moving object having the shortest collision prediction time is most likely to collide with the evaluation target. Therefore, the calculation unit 31a specifies the moving body having the shortest collision prediction time as the collision prediction target.

Next, the calculation unit 31a obtains an evaluation value of the prediction result (collision prediction result) based on the collision prediction time between the evaluation target and the collision prediction target (step S64).
The calculation unit 31a obtains the evaluation value of the prediction result with respect to the collision prediction time according to the rules shown below. For example, the settings are as follows, but the settings are not limited to the following.
Collision prediction time is 10 seconds or more: Evaluation value = 0
Predicted collision time is less than 10 seconds: Evaluation value = 20
Collision prediction time less than 5 seconds: Evaluation value = 100
Collision prediction time less than 3 seconds: Evaluation value = 200
Collision prediction time less than 1 second: Evaluation value = 500
This evaluation value is set so that the larger the value, the higher the factor that impedes the safety of the evaluation target. That is, the evaluation value is a value for evaluating the safety level of each evaluation target.
The calculation unit 31a sets "0" as an evaluation value for a moving body other than the collision prediction target.

As described above, the calculation unit 31a obtains the evaluation value for each moving object based on the collision prediction time, which is the prediction result of the collision prediction between the evaluation target and the moving object other than the evaluation target.
As a result, it is possible to obtain the evaluation value of the collision prediction between the evaluation target and the moving object other than the evaluation target.

More specifically, the calculation unit 31a determines the moving body (collision prediction target) that is predicted to collide with the evaluation target among the moving bodies other than the evaluation target based on the collision prediction time which is the prediction result of the collision prediction. And obtain the evaluation value based on the collision prediction time for the collision prediction target.
As a result, it is possible to obtain an evaluation value related to the collision prediction of the evaluation target that is predicted to collide.

Next, the calculation unit 31a proceeds to step S65 and determines whether or not there is a blind spot factor that causes a blind spot between the evaluation target and the collision prediction target (step S65).
The presence or absence of a blind spot factor between the evaluation target and the collision prediction target is determined by the calculation unit 31a referring to the dynamic information map M1. The calculation unit 31a refers to the dynamic information map M1 and determines the presence or absence of a building, another moving body, or the like that blocks the line of sight between the evaluation target and the collision prediction target. When such a building or other moving object exists between the evaluation target and the collision prediction target, the calculation unit 31a determines that there is a blind spot factor between the evaluation target and the collision prediction target. On the other hand, if there is nothing blocking the line of sight between the evaluation target and the collision prediction target, the calculation unit 31a determines that there is no blind spot factor.

When it is determined in step S65 that there is a blind spot factor between the evaluation target and the collision prediction target, the calculation unit 31a adds to the evaluation value obtained in step S64 (step S66), and proceeds to step S67.
On the other hand, when it is determined that there is no blind spot factor between the evaluation target and the collision prediction target (step S65), the calculation unit 31a proceeds to step S67 without adding to the evaluation value.

As described above, the evaluation value is set so that the larger the value, the higher the factor that hinders the safety of the evaluation target.
When there is a blind spot factor between the evaluation target and the collision prediction target, the safety of the evaluation target is further impaired. Therefore, when it is determined that there is a blind spot factor, the calculation unit 31a adds to the evaluation value.
The added value added to the evaluation value in step S66 is, for example, "100". This added value is an example and is not limited to this. The same applies to the added values shown below.

In this way, the calculation unit 31a determines the presence or absence of a blind spot factor that causes a blind spot between the evaluation target and the collision prediction target, and adds the determination result of the presence or absence of the blind spot factor to the evaluation value.
In this case, the presence or absence of the blind spot factor can be reflected in the evaluation value, and can be reflected in the execution determination of providing information to the evaluation target described later.

Next, in step S67, the calculation unit 31a determines whether or not the collision prediction target is a pedestrian (step S67).
When the collision prediction target (moving body) is a pedestrian 7, the calculation unit 31a proceeds to step S68, determines the situation of the pedestrian 7 which is the collision prediction target, and ends the process.

On the other hand, when the collision prediction target (moving body) is not the pedestrian 7, the collision prediction target is the vehicle 5, so the calculation unit 31a finishes the calculation process for the vehicle without determining the situation of the pedestrian 7.

FIG. 12 is a flowchart showing an example of the situation determination process of the pedestrian 7 in FIG.
As shown in FIG. 12, the calculation unit 31a determines whether or not the pedestrian 7 to be predicted to collide is walking on a pedestrian crossing or a sidewalk (step S71).
Whether or not the pedestrian 7 to be predicted to collide is walking on a pedestrian crossing or a sidewalk is determined by the calculation unit 31a referring to the dynamic information map M1. The calculation unit 31a compares the position information of the pedestrian crossing or the sidewalk included in the static information of the dynamic information map M1 with the position information of the pedestrian 7, so that the pedestrian 7 walks on the pedestrian crossing or the sidewalk. It can be determined whether or not it is not.

In step S71, when it is determined that the pedestrian 7 to be predicted to collide is not walking on the pedestrian crossing or the sidewalk, the calculation unit 31a adds to the evaluation value (step S72) and proceeds to step S73.
On the other hand, when it is determined that the pedestrian 7 to be predicted to collide is walking on the pedestrian crossing or the sidewalk (step S71), the calculation unit 31a proceeds to step S73 without adding to the evaluation value.

When the pedestrian 7 to be predicted to collide is not walking on a pedestrian crossing or a sidewalk, the safety of the evaluation target is further impaired. Therefore, when it is determined that the pedestrian 7 to be predicted to collide is not walking on the pedestrian crossing or the sidewalk, the calculation unit 31a adds to the evaluation value.
The added value added to the evaluation value in step S72 is, for example, "100".

Next, the calculation unit 31a determines whether or not the walking speed of the pedestrian 7 to be predicted to collide is slower than a predetermined value (step S73).
Whether or not the walking speed of the pedestrian 7 to be predicted to collide is slower than a predetermined value can be determined by referring to the mobile database 34a.
The predetermined value to be compared with the walking speed is set, for example, as a general pedestrian speed of 3.6 km / h.

When it is determined in step S73 that the walking speed of the pedestrian 7 to be predicted to collide is slower than a predetermined value, the calculation unit 31a adds to the evaluation value (step S74) and proceeds to step S75.
On the other hand, when it is determined that the walking speed of the pedestrian 7 to be predicted to collide is not slower than the predetermined value (step S73), the calculation unit 31a proceeds to step S75 without adding to the evaluation value.

For example, when the pedestrian 7 to be predicted to collide is crossing the pedestrian crossing, if the walking speed of the pedestrian 7 is slower than a predetermined value, the pedestrian 7 may not be able to cross the pedestrian crossing during the green light. Considering that there is, it becomes an obstacle to safety in the evaluation target. Therefore, when it is determined that the walking speed of the pedestrian 7 is slower than the predetermined value, the calculation unit 31a adds to the evaluation value.
The added value added to the evaluation value in step S74 is, for example, "100".

Next, the calculation unit 31a determines whether or not the attribute of the pedestrian 7 to be predicted to collide is a child (step S75).
Whether or not the attribute of the pedestrian 7 to be predicted to collide is a child can be determined by referring to the mobile database 34a.

In step S75, when it is determined that the attribute of the pedestrian 7 to be predicted to collide is a child, the calculation unit 31a adds to the evaluation value (step S76) and proceeds to step S77.
On the other hand, when it is determined that the attribute of the pedestrian 7 to be predicted to collide is not a child (step S75), the calculation unit 31a proceeds to step S77 without adding to the evaluation value.

When the pedestrian 7 to be predicted for collision is a child, it becomes an obstacle to safety in the evaluation target. Therefore, when the attribute of the pedestrian 7 to be predicted to collide is determined to be a child, the calculation unit 31a adds to the evaluation value.
The added value added to the evaluation value in step S76 is, for example, "100".

Next, the calculation unit 31a determines whether or not the pedestrian 7 to be predicted to collide is meandering (step S77).
Whether or not the pedestrian 7 to be predicted to collide is meandering can be determined based on the time-dependent change of the position information of the moving body included in the moving body database 34a or the dynamic information map M1.

When it is determined in step S77 that the pedestrian 7 to be predicted to collide is meandering, the calculation unit 31a adds to the evaluation value (step S78) and proceeds to step S79.
On the other hand, when it is determined that the pedestrian 7 to be predicted to collide is not meandering (step S77), the calculation unit 31a proceeds to step S79 without adding to the evaluation value.

When the pedestrian 7 to be predicted to collide is meandering, it becomes an obstacle to safety in the evaluation target. Therefore, when it is determined that the pedestrian 7 to be predicted to collide is meandering, the calculation unit 31a adds to the evaluation value.
The added value added to the evaluation value in step S78 is, for example, "100".

Next, the calculation unit 31a determines whether or not the pedestrian 7 to be predicted to collide is ignoring the signal (step S79).
Whether or not the pedestrian 7 to be predicted to collide is ignoring the signal can be determined based on the signal information included in the dynamic information of the dynamic information map M1 and the position information of the moving body.

When it is determined in step S79 that the pedestrian 7 to be predicted to collide is ignoring the signal, the calculation unit 31a adds to the evaluation value (step S80) and ends the vehicle calculation process (FIG. 11).
On the other hand, when it is determined that the pedestrian 7 to be predicted to collide is not ignoring the signal (step S79), the calculation unit 31a ends the vehicle calculation process (FIG. 11) without adding to the evaluation value.

When the pedestrian 7 to be predicted to collide ignores the signal, it becomes an obstacle to safety in the evaluation target. Therefore, when it is determined that the pedestrian 7 to be predicted to collide is ignoring the signal, the calculation unit 31a adds to the evaluation value.
The added value added to the evaluation value in step S79 is, for example, "100".

In this way, the calculation unit 31a acquires the situation regarding the pedestrian 7 in the situation determination process, and adds the added value as the adjustment value according to the acquired situation of the pedestrian 7 to the evaluation value.

As described above, the calculation unit 31a obtains the evaluation value of the evaluation target by performing the vehicle calculation process (step S55 in FIG. 10).

On the other hand, in step S54 in FIG. 10, when it is determined that the attribute to be evaluated is not a vehicle (step S54), the calculation unit 31a proceeds to step S56 and performs a pedestrian calculation process. The calculation unit 31a obtains an evaluation value to be evaluated in the pedestrian calculation process (step S56).

FIG. 13 is a flowchart showing an example of the pedestrian arithmetic processing in FIG.
In FIG. 13, steps 61 to S66 are the same processes as in FIG. 11 except for the difference in whether the evaluation target is a vehicle or a pedestrian. Therefore, the description of steps 61 to S66 will be omitted.

When the process of step S65 or step S66 is completed in FIG. 13, the calculation unit 31a proceeds to step S82.
In step 82, the calculation unit 31a determines whether or not the collision prediction target is a vehicle (step S82).
When it is determined that the collision prediction target (moving body) is a vehicle, the calculation unit 31a proceeds to step S83, determines the situation of the pedestrian 7 to be evaluated, and finishes the pedestrian calculation process.
Here, the situation determination process of the pedestrian 7 to be evaluated is the same as in FIG.

On the other hand, when it is determined that the collision prediction target (moving body) is not a vehicle, the calculation unit 31a finishes the pedestrian calculation process without determining the situation of the pedestrian 7 to be evaluated.
In the pedestrian calculation process, the rules regarding the evaluation value according to the collision prediction time and the added value added to the evaluation value by each judgment are the vehicle calculation process in consideration of being a pedestrian. Set to a different value.

In step S67 in FIG. 11 showing the calculation process for a vehicle, the calculation unit 31a determines whether or not the collision prediction target is a pedestrian, and only when the collision prediction target (moving body) is a pedestrian 7. , The situation of the pedestrian 7 which is the collision prediction target is determined.
Similarly, in step S82 in FIG. 13 showing the pedestrian calculation process, the calculation unit 31a determines whether or not the collision prediction target is a vehicle, and determines that the collision prediction target (moving body) is a vehicle. Only when this is done, the situation of the pedestrian 7 to be evaluated is determined.

In this way, when either the evaluation target or the moving object predicted to collide with the evaluation target is a pedestrian, the calculation unit 31a acquires the situation regarding the pedestrian and the acquired pedestrian. The added value according to the situation of 7 is added to the evaluation value.
In this case, the situation peculiar to the pedestrian can be reflected in the evaluation value, and can be reflected in the execution determination of providing information to the evaluation target described later.

Returning to FIG. 10, when the evaluation value of the evaluation target is obtained by the vehicle calculation process of step S55 or the pedestrian calculation process of step S56, the calculation unit 31a proceeds to step S57 and evaluates the obtained evaluation value. Register in the database 34b (step S57).

The calculation unit 31a sequentially processes the processes from step S54 to step S57 in FIG. 10 for the specified evaluation target, and repeats the process until all of the evaluation targets are processed.
When the calculation unit 31a obtains evaluation values for all the specified evaluation targets and registers them in the database 34b, the calculation unit 31a returns to step S51 again and repeats the same processing.

Therefore, the calculation unit 31a repeatedly executes the calculation and registration of the evaluation value of each of the specified evaluation targets by repeating the calculation process, and updates the registered contents of the evaluation value database 34b at any time.

FIG. 14 is a diagram showing an example of the evaluation value database 34b.
As shown in FIG. 14, in the evaluation value database 34b, the mobile ID of the evaluation target and the evaluation value of the mobile other than the evaluation target are registered in association with each other.

The evaluation value database 34b is provided with a column for the mobile ID of the evaluation target, a column for the vehicle ID (mobile ID), and a column for the evaluation value of the mobile other than the evaluation target.
In the column of the mobile ID of the evaluation target, the mobile ID of the mobile specified as the evaluation target is registered.
Further, in the vehicle ID (mobile ID) column, the vehicle ID (mobile ID) of the mobile terminal pedestrian terminal 70 or the in-vehicle device 50 possessed by the moving body to be evaluated is registered.

The column of the evaluation value of the moving body other than the evaluation target includes the column of the moving body ID of each moving body other than the evaluation target. As a result, the evaluation value of each of the plurality of moving objects is registered in the evaluation value column of the moving object other than the evaluation target.
As described above, the evaluation value for the moving body other than the collision prediction target is set to "0".
Therefore, it is shown that the moving object other than the evaluation target in which a value other than "0" is registered in the evaluation value of the moving object other than the evaluation target is the collision prediction target of the evaluation target.

For example, in FIG. 14, in the evaluation value of the evaluation target whose mobile body ID is "1006", among the columns of the evaluation values of the mobile body other than the evaluation target, the column corresponding to the mobile body ID "1004" is evaluated. "500" is registered as a value, and "0" is registered other than that. From this, it can be seen that the moving object having the moving object ID of "1004" is specified as the collision prediction target of the evaluation target having the moving object ID of "1006".
In this way, by referring to the evaluation value database 34b, the collision prediction target of each evaluation target can be specified.

[Evaluation value judgment processing]
FIG. 15 is a flowchart showing an example of the determination process by the determination unit 31b.
As shown in FIG. 15, the determination unit 31b refers to the evaluation value database 34b and determines whether or not there is an evaluation target whose evaluation value is equal to or higher than a preset threshold value (step S85).
If it is determined in step S85 that there is no evaluation target whose evaluation value is equal to or greater than the threshold value, the determination unit 31b further repeats step S85. Therefore, the determination unit 31b repeats step S85 until it determines that there is an evaluation target whose evaluation value is equal to or greater than the threshold value.

If it is determined in step S85 that there is an evaluation target whose evaluation value is equal to or higher than the threshold value, the determination unit 31b proceeds to step S86 and determines to notify the evaluation target of information regarding the collision prediction result of the collision prediction target. , Return to step S85.

The determination unit 31b refers to the evaluation value of each evaluation target, and if there are a plurality of evaluation targets whose evaluation value is equal to or higher than the threshold value, determines to notify all the plurality of evaluation targets of information regarding the collision prediction result of the collision prediction target. ..
In this way, the determination unit 31b determines whether or not to notify the evaluation target of information regarding the prediction result of each evaluation target for each evaluation target based on the evaluation value.

That is, in the present embodiment, whether or not to notify the information regarding the collision prediction result (information regarding the predicted traffic situation) is determined for each of the evaluation targets (pedestrian terminal 70, in-vehicle device 50, or a moving body having these). Since the judgment is made for each evaluation target based on the evaluation value of the prediction result, necessary information can be appropriately provided to each evaluation target.
Further, in order to obtain the evaluation value of the prediction result of the collision prediction of each evaluation target, the dynamic information map M1 in which the dynamic information about a plurality of moving objects is superimposed is used, so that the moving object on which the mobile terminal is not mounted is also used. The evaluation value of the predicted traffic condition can be obtained including the evaluation value, and the appropriately predicted traffic condition can be expressed as the evaluation value in each evaluation target.
As described above, according to the above configuration, it is possible to appropriately provide information on the prediction result of the appropriately predicted collision to each evaluation target.

[Notification processing]
When the determination unit 31b decides to notify the evaluation target of the information regarding the collision prediction result, the notification unit 31c notifies the evaluation target for which the judgment unit 31b has decided to notify the collision prediction result between the evaluation target and the collision prediction target. Notify information about.
As a result, it is possible to provide information only to mobile terminals for which it is determined that information on the prediction result of collision prediction is necessary based on the evaluation value.
The information regarding the collision prediction result notified by the notification unit 31c to the evaluation target includes the attributes of the collision prediction target, the direction in which the collision prediction target approaches, the collision prediction time, and the like.

The mobile terminal (pedestrian terminal 70 and the in-vehicle device 50) to be evaluated that has received the notification by the notification unit 31c outputs the information regarding the notified prediction result to the user of the mobile terminal.

[About scenario 1]
Next, the operation of the information providing system of the present embodiment will be described according to a scenario assumed on the road.
FIG. 16 is a diagram showing a situation around an intersection according to scenario 1.
In FIG. 16, the pedestrians 7A and 7B get off from the vehicle 5C parked at the position immediately after passing the pedestrian crossing P and cross the pedestrian crossing P. Pedestrian 7A is an adult and pedestrian 7B is a child.
At the timing when pedestrians 7A and 7B started crossing the pedestrian crossing P, the light color of the signal of the pedestrian crossing P was blinking blue.

On the other hand, at the timing when pedestrians 7A and 7B start crossing the pedestrian crossing P, the light color of the signal of the direction on which the vehicle 5A travels is red, but the signal of the pedestrian crossing P is blinking blue. The vehicle 5A approaching the pedestrian crossing P recognizes that it will soon turn blue. Therefore, it is assumed that the vehicle 5A is trying to pass through the intersection without stopping.
It is assumed that the pedestrians 7A and 7B cannot see the vehicle 5A due to the presence of the vehicle 5C.
Further, a vehicle 5B is further running behind the vehicle 5A.

It is assumed that the vehicles 5A, 5B, 5C and the pedestrians 7A, 7B are registered in the dynamic information map M1 and the mobile database 34a as mobiles by the system.
Further, it is assumed that the vehicles 5A and 5B are equipped with the in-vehicle device 50 and the pedestrians 7A and 7B carry the pedestrian terminal 70.

Here, it is assumed that the light color of the signal of the pedestrian crossing P changes to red in the middle of the pedestrian crossing P, and the pedestrians 7A and 7B are rushing across the pedestrian crossing P as they are.

At this time, the vehicle 5A and the pedestrians 7A and 7B may collide with each other at the pedestrian crossing P. Therefore, the edge server 3 (calculation unit 31a) specifies the pedestrians 7A and 7B as the collision prediction target of the vehicle 5A, and specifies the vehicle 5A as the collision prediction target of the pedestrians 7A and 7B. Further, the pedestrians 7A and 7B have the attribute of a child (only the pedestrian 7B) and ignore the signal. Further, there is a vehicle 5C which is a blind spot factor between the vehicle 5A and the pedestrians 7A and 7B.

In such a case, when the edge server 3 obtains the evaluation value when the vehicle 5A is the evaluation target, the pedestrian situation determination is taken into consideration in addition to the collision prediction time. In this scenario, the added value is added to the evaluation value due to the blind spot factor, the pedestrian attribute, and the signal neglect.
The threshold value used for determining whether or not to notify the prediction result is set to be smaller than the evaluation value in the case where factors that impede safety overlap as in this scenario. Therefore, in the case of this scenario, the evaluation values of the pedestrians 7A and 7B in the vehicle 5A are larger than the threshold value. Therefore, the edge server 3 notifies the vehicle 5A of information regarding the collision prediction results of the pedestrians 7A and 7B in the vehicle 5A.

Further, when the edge server 3 obtains the evaluation value when the pedestrians 7A and 7B are evaluated, the collision prediction time and the pedestrian situation determination are also taken into consideration. Therefore, the evaluation value of the vehicle 5A in the pedestrians 7A and 7B becomes a value larger than the above threshold value, and the edge server 3 notifies the pedestrians 7A and 7B of the information regarding the collision prediction result of the vehicle 5A in the pedestrians 7A and 7B. ..

Further, also in the vehicle 5B, the speed is reduced as the vehicle 5A approaches the pedestrian crossing P, and when both vehicles approach each other, the edge server 3 identifies the vehicle 5A as a collision prediction target of the vehicle 5B. As a result of collision prediction, if the collision prediction time is short, the evaluation value is set to a large value. As a result, the edge server 3 notifies the vehicle 5B of information regarding the collision prediction result of the vehicle 5A in the vehicle 5B.

In this way, the edge server 3 can appropriately provide necessary information to each mobile terminal.
The in-vehicle device 50 of the vehicles 5A and 5B and the pedestrian terminal 70 of the pedestrians 7A and 7B output information on the collision prediction result to the user of the own device based on the notification from the edge server 3.

In FIG. 16, on the output screen V1 of the in-vehicle device 50 of the vehicle 5A, a display D1 indicating that a pedestrian appears from the right side of the pedestrian crossing P in front of the own vehicle, an arrow D2 indicating the traveling direction of the pedestrian, and the like are displayed. Is displayed.
As a result, the edge server 3 can make the user of the vehicle 5A recognize in advance that a pedestrian will appear from the right side of the pedestrian crossing P in front of the vehicle.
Although the pedestrians 7A and 7B are displayed here without being specified, for example, the display method may be different depending on whether the attribute of the pedestrian 7 is a child or an adult. .. This is because more attention is required when the pedestrian is a child.

That is, in this system, the output mode of the information regarding the collision prediction result may be controlled differently depending on the attribute of the collision prediction target. As a result, information can be output to the user in an output mode according to the characteristics of the attributes of the collision prediction target.

Further, on the output screen V2 of the pedestrian terminal 70 of the pedestrians 7A and 7B, a display D3 indicating that the vehicle A appears from the left side of the pedestrian crossing P in front, an arrow D4 indicating the traveling direction of the vehicle 5A, and the like are displayed. Is displayed.
As a result, the edge server 3 can make the pedestrians 7A and 7B recognize in advance that the vehicle will appear from the left side of the pedestrian crossing P in front of the pedestrian crossing P.

Further, on the output screen V3 of the in-vehicle device 50 of the vehicle 5B, a display D5 or the like indicating to call attention to the vehicle 5A traveling in front of the own vehicle is displayed.
As a result, the edge server 3 can make the user of the vehicle 5B recognize in advance that the vehicle 5A traveling in front of the vehicle stops and approaches.

In this way, the edge server 3 can avoid collisions between the moving bodies by causing the in-vehicle devices 50 of the vehicles 5A and 5B and the pedestrian terminals 70 of the pedestrians 7A and 7B to output to the user. it can.

The output of information regarding the collision prediction result by the pedestrian terminal 70 and the in-vehicle device 50 is controlled by the output control units of the control unit 71 and the control unit 51 of the pedestrian terminal 70 and the in-vehicle device 50.
Further, when the control unit 31 of the edge server 3 has an output control unit capable of controlling the output directed to the user by the pedestrian terminal 70 and the in-vehicle device 50, the output control unit of the edge server 3 may be used. The output to the user by the pedestrian terminal 70 and the in-vehicle device 50 may be controlled.

[About scenario 2]
FIG. 17 is a diagram showing a situation around an intersection according to scenario 2.
In FIG. 17, the settings of the vehicles 5A and 5B and the pedestrians 7A and 7B are the same as in the scenario 1. Further, in scenario 2, the vehicle 5C of scenario 1 is not provided.
In scenario 2, pedestrians 7A and 7B are crossing the pedestrian crossing P at a speed lower than the general walking speed (3.6 km / h).

Since pedestrians 7A and 7B slowly crossed the pedestrian crossing P, the light color of the signal of the pedestrian crossing P was blinking blue at the timing when the pedestrians 7A and 7B started crossing the pedestrian crossing P. , It is assumed that the light color of the signal of the pedestrian crossing P changes to red in the middle of the pedestrian crossing P, and the pedestrians 7A and 7B slowly cross the pedestrian crossing P at the same walking speed.

In this case, as in scenario 1, there is no blind spot factor between the vehicle 5A and the pedestrians 7A and 7B.
In addition, since pedestrians 7A and 7B slowly cross the pedestrian crossing P, the light color of the signal of the pedestrian crossing P, which was blinking blue, changes to red in the middle of the pedestrian crossing P, and the pedestrians 7A and 7B Is slowly crossing the pedestrian crossing P at the same walking speed.
Here, the vehicle 5A and the pedestrians 7A and 7B may collide on the pedestrian crossing. Therefore, the edge server 3 specifies the pedestrians 7A and 7B as the collision prediction target of the vehicle 5A, and specifies the vehicle 5A as the collision prediction target of the pedestrians 7A and 7B.

At this time, when the edge server 3 obtains the evaluation value when the vehicle 5A is the evaluation target, the edge server 3 adds the pedestrian attribute, the pedestrian speed, and the added value by ignoring the signal to the evaluation value obtained from the collision prediction time. to add.
As a result, the evaluation values of the pedestrians 7A and 7B in the vehicle 5A become larger than the threshold value, and the edge server 3 notifies the vehicle 5A of the information regarding the collision prediction result of the pedestrians 7A and 7B in the vehicle 5A.

Further, when the edge server 3 obtains the evaluation value when the pedestrians 7A and 7B are evaluated, the pedestrian situation determination is taken into consideration in addition to the collision prediction. Therefore, the evaluation value of the vehicle 5A in the pedestrians 7A and 7B becomes a value larger than the above threshold value, and the edge server 3 transfers the information regarding the prediction result of the collision prediction of the vehicle 5A in the pedestrians 7A and 7B to the pedestrians 7A and 7B. Notice.

Further, also in the vehicle 5B, the speed is reduced as the vehicle 5A approaches the pedestrian crossing P, and when both vehicles approach each other, the edge server 3 identifies the vehicle 5A as a collision prediction target of the vehicle 5B. As a result of collision prediction, if the collision prediction time is short, the evaluation value is set to a large value. As a result, the edge server 3 notifies the vehicle 5B of information regarding the collision prediction result of the vehicle 5A in the vehicle 5B.

As described above, the in-vehicle device 50 of the vehicles 5A and 5B and the pedestrian terminal 70 of the pedestrians 7A and 7B output information on the collision prediction result to the user of the own device based on the notification from the edge server 3.
As a result, the edge server 3 can make the user of the vehicle 5A recognize in advance that a pedestrian will appear from the right side of the pedestrian crossing P in front of the vehicle.
Further, the edge server 3 can make the pedestrians 7A and 7B recognize in advance that the vehicle will appear from the left side of the pedestrian crossing P in front of the vehicle.

As a result, the edge server 3 can avoid collisions between the moving bodies by causing the in-vehicle device 50 of the vehicles 5A and 5B and the pedestrian terminal 70 of the pedestrians 7A and 7B to output to the user. ..

[About scenario 3]
FIG. 18 is a diagram showing a situation around an intersection according to scenario 3.
In FIG. 18, when the pedestrians 7A and 7B were walking on the sidewalk H, there was an obstacle G1 on the sidewalk H, and the pedestrians 7A and 7B walked out of the roadway avoiding the obstacle G1. Pedestrian 7A is an adult and pedestrian 7B is a child.

Here, the vehicle 5A and the pedestrians 7A and 7B may collide on the roadway. Therefore, the edge server 3 specifies the pedestrians 7A and 7B as the collision prediction target of the vehicle 5A, and specifies the vehicle 5A as the collision prediction target of the pedestrians 7A and 7B. Further, the pedestrians 7A and 7B have the attribute of a child (pedestrian 7B only) and do not walk on the sidewalk.

At this time, when the edge server 3 obtains the evaluation values of the pedestrians 7A and 7B when the vehicle 5A is the evaluation target, the attributes of the pedestrian and the pedestrian walk to the evaluation values obtained from the collision prediction time. Add the added value depending on the location (whether or not you are walking on a pedestrian crossing or a sidewalk).
As a result, the evaluation values of the pedestrians 7A and 7B in the vehicle 5A become larger than the threshold value, and the edge server 3 notifies the vehicle 5A of the information regarding the collision prediction result of the pedestrians 7A and 7B in the vehicle 5A.

Further, when the edge server 3 obtains the evaluation value when the pedestrians 7A and 7B are evaluated, the pedestrian situation determination is taken into consideration in addition to the collision prediction. Therefore, the evaluation value of the vehicle 5A in the pedestrians 7A and 7B becomes a value larger than the above threshold value, and the edge server 3 notifies the pedestrians 7A and 7B of the information regarding the collision prediction result of the vehicle 5A in the pedestrians 7A and 7B. ..

Further, if the vehicle 5A tries to avoid the pedestrians 7A and 7B and protrudes to the opposite lane side, the vehicle 5B traveling in the opposite lane may collide with the vehicle 5A. Therefore, in this case, the edge server 3 specifies the vehicle 5A as the collision prediction target of the vehicle 5B. Further, there is a vehicle 5D which is a blind spot factor between the vehicle 5B and the vehicle 5A.

When the edge server 3 obtains the evaluation value when the vehicle 5B is the evaluation target, the edge server 3 adds the added value depending on the presence or absence of the blind spot factor to the evaluation value obtained from the collision prediction time.
When the evaluation value of the vehicle 5A in the vehicle 5B becomes a value larger than the threshold value, the edge server 3 notifies the vehicle 5B of information regarding the collision prediction result of the vehicle 5A in the vehicle 5B.

Further, also in the vehicle 5C, when the vehicle 5B slows down due to the protrusion of the vehicle 5A and both vehicles approach each other, the edge server 3 identifies the vehicle 5B as a collision prediction target of the vehicle C. As a result of collision prediction, if the collision prediction time is short, the evaluation value is set to a large value. As a result, the edge server 3 notifies the vehicle 5C of information regarding the collision prediction result of the vehicle 5B in the vehicle 5C.

As a result, the edge server 3 causes the in-vehicle device 50 of the vehicles 5A, 5B, 5C and the pedestrian terminal 70 of the pedestrians 7A, 7B to output to the user, thereby avoiding collisions between the moving bodies. Can be done.

[About scenario 4]
FIG. 19 is a diagram showing a situation around an intersection according to scenario 4.
In FIG. 19, when pedestrians 7A and 7B are walking on the sidewalk H, they pass between the stopped vehicle 5C and the vehicle 5D and try to walk on a place other than a pedestrian crossing and cross the roadway. Pedestrian 7A is an adult and pedestrian 7B is a child.

Here, the vehicle 5A traveling in the opposite lane and the pedestrians 7A and 7B may collide on the roadway. Therefore, the edge server 3 specifies the pedestrians 7A and 7B as the collision prediction target of the vehicle 5A, and specifies the vehicle 5A as the collision prediction target of the pedestrians 7A and 7B. In addition, pedestrians 7A and 7B have the attribute of a child (pedestrian 7B only) and do not walk on the sidewalk or pedestrian crossing. Further, there is a vehicle 5D which is a blind spot factor between the vehicle 5A and the pedestrians 7A and 7B.

At this time, when the edge server 3 obtains the evaluation values of the pedestrians 7A and 7B when the vehicle 5A is the evaluation target, the edge server 3 includes the collision prediction time, the attributes of the pedestrian, and the place where the pedestrian is walking (crossing). An additional value is added to the evaluation value depending on whether or not the person is walking on the sidewalk or the sidewalk) and whether or not there is a blind spot factor.
As a result, the evaluation values of the pedestrians 7A and 7B in the vehicle 5A become larger than the threshold value, and the edge server 3 notifies the vehicle 5A of the information regarding the collision prediction result of the pedestrians 7A and 7B in the vehicle 5A.

Further, when the edge server 3 obtains the evaluation value when the pedestrians 7A and 7B are evaluated, the pedestrian situation determination is taken into consideration in addition to the collision prediction. Therefore, the evaluation value of the vehicle 5A in the pedestrians 7A and 7B becomes a value larger than the above threshold value, and the edge server 3 notifies the pedestrians 7A and 7B of the information regarding the collision prediction result of the vehicle 5A in the pedestrians 7A and 7B. ..

Further, also in the vehicle 5B, when the vehicle 5A slows down due to the pedestrians 7A and 7B crossing the roadway and both vehicles approach each other, the edge server 3 identifies the vehicle 5A as a collision prediction target of the vehicle 5B. As a result of collision prediction, if the collision prediction time is short, the evaluation value is set to a large value. As a result, the edge server 3 notifies the vehicle 5B of information regarding the collision prediction result of the vehicle 5A in the vehicle 5B.

As a method of detecting a moving object (pedestrian) passing between vehicles 5 as in this scenario, in addition to detection by a roadside sensor 8, an in-vehicle device having an in-vehicle camera 59 in the vehicle 5 through which a pedestrian passes. If the 50 is mounted, it can be detected by the in-vehicle camera 59.

[About scenario 5]
FIG. 20 is a diagram showing a situation around an intersection according to scenario 5.
In FIG. 20, pedestrians 7A and 7B meander on the sidewalk H. Pedestrian 7A is an adult and pedestrian 7B is a child.

If the pedestrians 7A and 7B meander on the sidewalk H and protrude into the roadway, the vehicle 5A and the pedestrians 7A and 7B may collide on the roadway. Therefore, the edge server 3 specifies the pedestrians 7A and 7B as the collision prediction target of the vehicle 5A, and specifies the vehicle 5A as the collision prediction target of the pedestrians 7A and 7B. Further, the pedestrians 7A and 7B have the attribute of a child (only the pedestrian 7B), and when they go off the roadway, they are not walking on the sidewalk.

At this time, when the edge server 3 obtains the evaluation values of the pedestrians 7A and 7B when the vehicle 5A is the evaluation target, the evaluation values obtained from the collision prediction time include the attributes of the pedestrian and the walking state of the pedestrian ( Add the added value depending on whether or not it is meandering) and where the pedestrian is walking (whether or not it is walking on a pedestrian crossing or sidewalk).
As a result, the evaluation values of the pedestrians 7A and 7B in the vehicle 5A become larger than the threshold value, and the edge server 3 notifies the vehicle 5A of the information regarding the collision prediction result of the pedestrians 7A and 7B in the vehicle 5A.

Further, when the edge server 3 obtains the evaluation value when the pedestrians 7A and 7B are evaluated, the pedestrian situation determination is taken into consideration in addition to the collision prediction. Therefore, the evaluation value of the vehicle 5A in the pedestrians 7A and 7B becomes a value larger than the above threshold value, and the edge server 3 notifies the pedestrians 7A and 7B of the information regarding the collision prediction result of the vehicle 5A in the pedestrians 7A and 7B. ..

Further, if the vehicle 5A tries to avoid the pedestrians 7A and 7B and protrudes to the opposite lane side, the vehicle 5B traveling in the opposite lane may collide with the vehicle 5A. Therefore, in this case, the edge server 3 specifies the vehicle 5A as the collision prediction target of the vehicle 5B.

The edge server 3 obtains an evaluation value when the vehicle 5B is an evaluation target based on the estimated collision time with the pedestrians 7A and 7B.
When the evaluation value of the vehicle 5A in the vehicle 5B becomes a value larger than the threshold value, the edge server 3 notifies the vehicle 5B of information regarding the collision prediction result of the vehicle 5A in the vehicle 5B.

[About scenario 6]
FIG. 21 is a diagram showing a situation around an intersection according to scenario 6.
In FIG. 21, pedestrians 7A and 7B cross the pedestrian crossing P that crosses the direction R1. At the timing when pedestrians 7A and 7B started crossing the pedestrian crossing P, the light color of the signal of the pedestrian crossing P was blinking blue, but in the middle of the pedestrian crossing P, the light color of the signal of the pedestrian crossing P changed. It turns red, and pedestrians 7A and 7B are rushing to cross the pedestrian crossing P. Pedestrian 7A is an adult and pedestrian 7B is a child.

Vehicle 5A enters the intersection from the direction R2, turns left, and travels in the intersection toward the direction R1. Further, the vehicle 5B is traveling following the vehicle 5A. Since it is the timing when the light color of the signal of the pedestrian crossing P changes from blinking blue to red, the light color of the traffic lights in front of the vehicles 5A and 5B also changes from blue to yellow and red. Therefore, vehicles 5A and 5B are also rushing to pass the intersection.
Further, at the corner of the intersection between the route R2 and the route R1, there is a building G2 that blocks the line of sight between the route R1 and the route R2.

Here, there is a possibility that the vehicle 5A turning left at the intersection toward the direction R1 and the pedestrians 7A and 7B may collide on the roadway. In particular, since there is a building G2 that blocks the line of sight between the route R1 and the route R2, it is difficult for both the vehicle 5A and the pedestrians 7A and 7B to notice each other's existence until they approach each other. ..

When the vehicle 5A turns left and travels toward the pedestrians 7A and 7B, the edge server 3 identifies the pedestrians 7A and 7B as the collision prediction targets of the vehicle 5A and the collision prediction target of the pedestrians 7A and 7B. As, the vehicle 5A is specified. Further, the pedestrians 7A and 7B have the attribute of a child (only the pedestrian 7B) and ignore the signal. Further, there is a building G2 which is a blind spot factor between the vehicle 5A and the pedestrians 7A and 7B.

At this time, when the edge server 3 obtains the evaluation value when the vehicle 5A is the evaluation target, the edge server 3 adds the pedestrian attribute, the presence or absence of the blind spot factor, and the added value due to ignoring the signal to the evaluation value obtained from the collision prediction time. to add.
As a result, the evaluation values of the pedestrians 7A and 7B in the vehicle 5A become larger than the threshold value, and the edge server 3 notifies the vehicle 5A of the information regarding the collision prediction result of the pedestrians 7A and 7B in the vehicle 5A.

Further, when the edge server 3 obtains the evaluation value when the pedestrians 7A and 7B are evaluated, the pedestrian situation determination is taken into consideration in addition to the collision prediction. Therefore, the evaluation value of the vehicle 5A in the pedestrians 7A and 7B becomes a value larger than the above threshold value, and the edge server 3 transfers the information regarding the prediction result of the collision prediction of the vehicle 5A in the pedestrians 7A and 7B to the pedestrians 7A and 7B. Notice.

Further, also in the vehicle 5B, when the vehicle 5A notices the pedestrians 7A and 7B on the pedestrian crossing P and slows down, and both vehicles approach each other, the edge server 3 identifies the vehicle 5A as a collision prediction target of the vehicle 5B. As a result of collision prediction, if the collision prediction time is short, the evaluation value is set to a large value. As a result, the edge server 3 notifies the vehicle 5B of information regarding the collision prediction result of the vehicle 5A in the vehicle 5B.

As described above, the in-vehicle device 50 of the vehicles 5A and 5B and the pedestrian terminal 70 of the pedestrians 7A and 7B output information on the collision prediction result to the user of the own device based on the notification from the edge server 3.
As a result, the edge server 3 can make the user of the vehicle 5A recognize in advance that a pedestrian is crossing the pedestrian crossing P.
Further, the edge server 3 can make the pedestrians 7A and 7B recognize in advance that the vehicle 5A will appear from the right side of the pedestrian crossing P.

As a result, the edge server 3 can avoid collisions between the moving bodies by causing the in-vehicle device 50 of the vehicles 5A and 5B and the pedestrian terminal 70 of the pedestrians 7A and 7B to output to the user. ..

[About other embodiments]
FIG. 22 is a diagram showing an aspect of information provision executed by the system according to another embodiment.
FIG. 22 is a flowchart showing an example of arithmetic processing according to another embodiment.
The edge server 3 of the present embodiment is configured to evaluate the movement comfort of each evaluation target based on the dynamic information map M1 and obtain the evaluation value based on the future movement comfort of each evaluation target. Has been done. That is, the predicted traffic condition of each evaluation target predicted by the calculation unit 31a of the present embodiment is a situation indicating whether or not the future movement of the evaluation target is a comfortable movement.

More specifically, the edge server 3 divides each route in the service area into a plurality of unit areas, determines whether or not there is a factor that impairs comfort in each unit area, and determines the comfort. Identify uncomfortable areas where there are more than a certain number of detrimental factors. The edge server 3 registers the determination result in the database and updates it as needed.
The factor that impairs comfort in the present embodiment is, for example, the occurrence of traffic congestion or the presence of meandering pedestrians. When these factors exist for a certain amount or more, the edge server 3 identifies the unit area as an uncomfortable area.

Further, the edge server 3 obtains an evaluation value based on the positional relationship between the evaluation target and the uncomfortable area. For example, the evaluation value is set according to the distance between the evaluation target and the uncomfortable area.
This evaluation value is set to a larger value as the evaluation target and the uncomfortable area get closer. When the evaluation target and the uncomfortable area come close to each other, the possibility that the evaluation target passes through the uncomfortable area increases, and the comfort of future movement may be impaired. That is, the evaluation value of the present embodiment is set according to the possibility that the evaluation target passes through the uncomfortable area.

When the evaluation value becomes equal to or higher than a predetermined threshold value, the determination unit 31b notifies the evaluation target of information regarding the uncomfortable area.
Then, when approaching the uncomfortable area, the in-vehicle device 50 of the vehicles 5A and 5B and the pedestrian terminal 70 of the pedestrians 7A and 7B provide information on the uncomfortable area based on the notification from the edge server 3. Output to the user of.

In FIG. 22, each road R10, R11, R12, R13, and R14 separated by an intersection constitutes a unit area, respectively.
Of the routes, the route R11 is congested and there are meandering pedestrians 7A and 7B. Due to these events, the edge server 3 identifies the route R11 as an uncomfortable area. In addition, other directions shall not be specified as uncomfortable areas.

Here, the vehicle 5A traveling on the route R10 toward the intersection where the route R11 and the route R12 are connected is approaching the uncomfortable area R11. Then, it is assumed that the evaluation value of the vehicle 5A as the evaluation target becomes higher as it approaches the uncomfortable area R11, and becomes equal to or higher than a predetermined threshold value.
In this case, the edge server 3 notifies the vehicle 5A to be evaluated of the information regarding the uncomfortable area.

Further, the vehicle 5B traveling on the route R13 toward the intersection where the route R11 and the route R14 are connected is approaching the uncomfortable area R11. Then, it is assumed that the evaluation value of the vehicle 5B as the evaluation target becomes higher as it approaches the road R11 which is an uncomfortable area, and becomes equal to or higher than a predetermined threshold value.
In this case as well, the edge server 3 notifies the vehicle 5B to be evaluated of the information regarding the uncomfortable area.

Based on the notification from the edge server 3, the in-vehicle device 50 of the vehicles 5A and 5B outputs information on the uncomfortable area that is likely to pass in the future to the user of the own device as information on the predicted traffic information.

In FIG. 22, on the output screen V10 of the in-vehicle device 50 of the vehicle 5A, a display D10 indicating that an uncomfortable area exists when entering the route R11, an arrow D11 indicating a detour avoiding the uncomfortable area, and the like are displayed. Is displayed.
Further, on the output screen V11 of the in-vehicle device 50 of the vehicle 5B, a display D12 indicating that an uncomfortable area exists when entering the route R13, an arrow D13 indicating a detour avoiding the uncomfortable area, and the like are displayed. Will be done.

As a result, the edge server 3 can make the user of the vehicle 5A recognize in advance that the uncomfortable area will appear, and can make each evaluation target maintain the comfort during movement.

[Other]
It should be noted that the embodiments disclosed this time are exemplary in all respects and are not restrictive.
For example, in each of the above embodiments, the case where the predicted traffic condition predicted by the edge server 3 is the prediction result of the collision prediction and the case where the future movement comfort of the evaluation target is exemplified, but other predictions are made. It may be possible traffic conditions.

The scope of the present invention is indicated by the scope of claims, not the above-mentioned meaning, and is intended to include the meaning equivalent to the scope of claims and all modifications within the scope.

1A to 1D communication terminal 2 Base station 3 Edge server 4 Core server 5,5A, 5B, 5C, 5D Vehicle 7,7A, 7B Pedestrian 8 Roadside sensor 9 Traffic signal controller 31 Control unit 31a Calculation unit 31b Judgment unit 31c Notification Unit 31d Detection unit 34 Storage unit 34a Mobile database 34b Evaluation value database 35 Communication unit 41 Control unit 44 Storage unit 45 Communication unit 50 In-vehicle device 51 Control unit 52 Receiver 53 Vehicle speed sensor 54 Gyro sensor 55 Storage unit 56 Display 57 Speaker 58 Input device 59 In-vehicle camera 60 Radar sensor 61 Communication unit 70 Pedestrian terminal 71 Control unit 72 Storage unit 73 Display unit 74 Operation unit 75 Communication unit 81 Control unit 82 Storage unit 83 Roadside camera 84 Radar sensor 85 Communication unit D1 display D2 Arrow D3 Display D4 Arrow D5 Display D10 Display D11 Arrow D13 Display D13 Arrow G1 Obstacle G2 Building M1 Dynamic Information Map M2 Dynamic Information Map N1-N4 Nodes S1-S4 Network Slice R1, R2, R10, R11, R12, R13, R14 Direction V1, V2, V3, V10, V11 Output screen

Claims (12)

A mobile terminal mounted on at least a part of one or a plurality of mobile bodies located in a predetermined area.
Based on the dynamic map information in which the dynamic information about the one or more moving objects is superimposed on the map information of the area, the evaluation value of the predicted traffic condition which is the prediction result of the traffic condition of each of the mobile terminals is obtained. Calculation unit and
A determination unit that determines whether or not to notify the mobile terminal of the predicted traffic status of each mobile terminal based on the evaluation value for each mobile terminal.
An information providing system including a notification unit that notifies the mobile terminal of the predicted traffic situation based on the determination result of the determination unit. The information providing system according to claim 1, wherein the notification unit notifies the predicted traffic situation to the mobile terminal determined to be notified by the determination unit among the mobile terminals. The predicted traffic situation is between a target mobile body equipped with a mobile terminal whose evaluation value is obtained by the calculation unit and a moving body other than the target moving body among the one or a plurality of moving bodies. It is the prediction result of the collision prediction,
The calculation unit makes the collision prediction for each of the mobile terminals based on the dynamic map information, and obtains the evaluation value as a value for evaluating the safety degree of each of the mobile terminals based on the prediction result. The information providing system according to claim 1 or 2. The calculation unit identifies a moving body predicted to collide with the target moving body among the other moving bodies based on the prediction result, and the prediction result regarding the moving body predicted to collide. The information providing system according to claim 3, wherein the evaluation value is obtained based on the above. When either the target moving body or the moving body predicted to collide with the target moving body is a pedestrian, the calculation unit evaluates the adjustment value according to the situation of the pedestrian. The information providing system according to claim 4, which is added to the value. The calculation unit determines the presence or absence of a blind spot factor that causes a blind spot between the target moving body and the moving body that is predicted to collide with the target moving body, and determines the presence or absence of the blind spot factor. The information providing system according to claim 4 or 5, wherein the above-mentioned evaluation value is added to the above-mentioned evaluation value. A control unit that controls the mobile terminal is further provided so that the predicted traffic situation is output to the user of the mobile terminal.
Any one of claims 3 to 6, wherein the control unit controls the output mode of the predicted traffic situation to be different according to the attribute of the moving body predicted to collide with the target moving body. Information provision system described in. The predicted traffic condition is information indicating whether or not the future movement of the mobile terminal for which the evaluation value is obtained by the calculation unit is a comfortable movement.
The claim that the calculation unit evaluates the future movement comfort of each of the mobile terminals based on the dynamic map information, and obtains the evaluation value based on the future movement comfort of each of the mobile terminals. The information providing system according to 1 or 2. A mobile terminal that receives the predicted traffic situation from the information providing system according to any one of claims 1 to 8 and outputs the predicted traffic situation to the user. It is an information provision method that provides information to mobile terminals.
Based on the dynamic map information in which the dynamic information about the one or more moving bodies is superimposed on the map information of the area where the one or more moving bodies are located, at least a part of the one or more moving bodies. A calculation step for obtaining an evaluation value of the predicted traffic condition, which is a prediction result of the traffic condition of each of the mounted mobile terminals, and
A determination step for determining whether or not to notify the mobile terminal of the predicted traffic condition of each mobile terminal based on the evaluation value, and a determination step for each mobile terminal.
An information providing method including a notification step for notifying the mobile terminal of the predicted traffic situation based on the determination result of the determination step. A computer program for causing a computer to execute an information providing process for providing information to a mobile terminal.
At least one or more mobiles based on dynamic map information in which dynamic information about the one or more mobiles is superimposed on map information of an area where one or more mobiles are located on the computer. A calculation step for obtaining an evaluation value of the predicted traffic condition, which is a prediction result of the traffic condition of each of the mobile terminals mounted on a part of the mobile terminal.
A determination step for determining whether or not to notify the mobile terminal of the predicted traffic situation of each mobile terminal based on the evaluation value, and a determination step for each mobile terminal.
A computer program for executing a notification step of notifying the mobile terminal of the predicted traffic situation based on the determination result of the determination step. Based on the dynamic map information in which the dynamic information about the one or more moving bodies is superimposed on the map information of the area where the one or more moving bodies are located, at least a part of the one or more moving bodies. A calculation unit that obtains the evaluation value of the predicted traffic condition, which is the prediction result of the traffic condition of each mounted mobile terminal,
An information providing device including a determination unit for determining whether or not to notify the mobile terminal of the predicted traffic situation of each of the mobile terminals based on the evaluation value for each mobile terminal.

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