JP2020091652A - Information providing system, server, and computer program - Google Patents

Abstract

To prevent the occurrence of interference between the behaviors of passersby in a target area.SOLUTION: An information providing system comprises: an estimation unit that estimates the behavior of a passerby in a target area; a determination unit that determines whether the behaviors estimated by the estimation unit for a plurality of passersby interfere with each other; a decision unit that, when the estimated behaviors are determined to interfere with each other by the determination unit, decides recommended behaviors for avoiding the interference of behaviors for the passersby; and an output unit that outputs recommended behavior information indicating the recommended behaviors decided by the decision unit.SELECTED DRAWING: Figure 8

Description

The present invention relates to an information providing system, a server, and a computer program.

In Patent Document 1, when a complicated traffic situation occurs such that vehicles travel opposite each other on a narrow road, and the passage of the automatic traveling vehicle is blocked, a command center located in a remote place controls the automatic traveling vehicle. Is disclosed. In the method disclosed in Patent Document 1, a command center provides a stuck vehicle with information for enabling the vehicle to autonomously solve its own dead end, or a remote operation of the command center. The person completely takes control of the vehicle.

JP, 2018-77845, A

However, with the method disclosed in Patent Document 1, it is not possible to prevent the occurrence of a deadlock in the passage of vehicles.

The present disclosure includes the following inventions. However, the present invention is defined by the claims.

An information providing system according to an aspect of the present invention determines whether an estimation unit that estimates a behavior of a passerby in a target area and a behavior estimated by the estimation unit for a plurality of passers-by interfere with each other. And a determining unit that determines a recommended action for the passerby to avoid the interference of actions when the estimated actions are determined to interfere with each other by the determining unit and the determining unit. And an output unit that outputs recommended action information indicating the recommended action that has been performed.

A server according to an aspect of the present invention includes an estimation unit that estimates the behavior of a passerby in a target area, and a determination unit that determines whether or not the behaviors estimated by the estimation unit for a plurality of passersby interfere with each other. When the determining unit determines that the estimated actions interfere with each other, the determining unit determines a recommended action for the passerby to avoid the interference of the actions, and the determining unit determines the recommended action. And a transmitting unit that transmits recommended behavior information indicating the recommended behavior.

A computer program according to an aspect of the present invention causes a computer to estimate a behavior of a passer-by in a target area, a step of determining whether or not the estimated behaviors of a plurality of passers-by interfere with each other, When it is determined that the estimated behaviors interfere with each other, a step of determining a recommended behavior for avoiding the interference of the behaviors, and recommended behavior information indicating the determined recommended behaviors are transmitted to the passerby. Steps and are executed.

The present invention can be realized not only as a server including the above-described characteristic processing unit but also as an information processing method having such characteristic processing as steps, or for causing a computer to execute such steps. Can be realized as a computer program of. Further, part or all of the server can be realized as a semiconductor integrated circuit, or can be realized as an information providing system including the server.

According to the present invention, it is possible to suppress the occurrence of interference of the actions of passers-by in the target area.

1 is an overall configuration diagram of a wireless communication system according to an embodiment. It is a block diagram which shows an example of an internal structure of an edge server and a core server. It is a block diagram showing an example of an internal configuration of an in-vehicle device. It is a block diagram which shows an example of an internal structure of a pedestrian terminal. It is a block diagram which shows an example of an internal structure of a roadside sensor. 1 is an overall configuration diagram of an information providing system according to an embodiment. It is a sequence diagram which shows an example of the update process of dynamic information, action adjustment process, and information distribution process performed by cooperation of a pedestrian terminal, a vehicle, a roadside sensor, and an edge server. It is a functional block diagram which shows an example of the function of the edge server which concerns on embodiment. FIG. 6 is a diagram for explaining an example of determination of action interference by the edge server according to the embodiment. It is a figure for explaining a concrete example of determination of recommended action by an edge server concerning an embodiment. FIG. 6 is a diagram for explaining an example of determination of action interference by the edge server according to the embodiment. It is a figure for demonstrating a concrete example of determination of recommended action by an edge server concerning an embodiment. It is a figure for demonstrating another specific example of determination of recommended action by the edge server which concerns on embodiment. FIG. 6 is a diagram for explaining an example of determination of action interference by the edge server according to the embodiment. It is a figure for explaining a concrete example of determination of recommended action by an edge server concerning an embodiment. It is a flow chart which shows an example of a procedure of action adjustment processing by an edge server concerning an embodiment.

<Outline of Embodiment of the Present Invention>
Hereinafter, the outline of embodiments of the present invention will be listed and described.

(1) The information providing system according to the present embodiment determines whether or not the estimation unit that estimates the behavior of a passerby in the target area and the actions estimated by the estimation unit for a plurality of passersby interfere with each other. The determination unit, the determination unit for determining the recommended action for avoiding the interference of the action for the passerby when it is determined that the estimated actions interfere with each other by the determination unit, and by the determination unit An output unit that outputs recommended action information indicating the determined recommended action. Accordingly, it is possible to determine the occurrence of the interference before the interference of the behavior (passage) of the passerby actually occurs, and the recommended action information can be provided to the passerby. Therefore, it is possible to suppress the occurrence of interference of the behavior of the passerby in the target area. The “interference of behavior” means a situation in which a plurality of passers-by may contact or collide with each other, or a situation in which at least one of the passers-by cannot pass the road.

(2) Further, the information providing system according to the present embodiment further includes a traffic regulation storage unit that stores the traffic regulation, and the determination unit is configured to execute the traffic regulation based on the traffic regulation stored in the traffic regulation storage unit. Recommended actions may be determined. As a result, the recommended behavior of the passerby can be determined according to the traffic regulations.

(3) In the information providing system according to the present embodiment, when the plurality of passers-by includes a driver of a vehicle, the determining unit may perform the recommended action based on the driving skill level of the driver. May be determined. As a result, for example, recommended behaviors that do not require advanced driving skill are determined for drivers with low driving skill, and recommended behaviors that require advanced driving technology are determined for drivers with high driving skill. It is possible to determine a recommended action according to the driving skill of the driver.

(4) Further, in the information providing system according to the present embodiment, the determination unit may determine, for each group of passers-by in the target area, whether the estimated behaviors interfere with each other. In one target area, the actions of passers-by may interfere in a plurality of groups. Therefore, with the above configuration, the behavior of the passerby can be adjusted in each of the plurality of groups.

(5) Further, in the information providing system according to the present embodiment, when the pedestrian is included in the pedestrians in the target area, the estimation unit detects the number of pedestrians detected by the pedestrian terminal used by the pedestrian. The behavior of the pedestrian may be estimated based on the information regarding the behavior. As a result, when the pedestrian includes a pedestrian, the behavior of the pedestrian can be estimated with high accuracy.

(6) The server according to the present embodiment, the estimation unit that estimates the behavior of the passerby in the target area, and the determination unit that determines whether or not the behaviors estimated by the estimation unit for a plurality of passers-by interfere with each other. When the determination unit determines that the estimated actions interfere with each other, a determination unit that determines a recommended action for avoiding the interference of the actions for the passerby and a determination unit that is determined by the determination unit. And a transmitting unit that transmits recommended behavior information indicating the recommended behavior. Accordingly, it is possible to determine the occurrence of the interference before the interference of the action of the passerby actually occurs, and it is possible to provide the recommended action information to the passerby. Therefore, it is possible to suppress the occurrence of interference of the behavior of the passerby in the target area.

(7) The computer program according to the present embodiment causes the computer to estimate the behavior of a passerby in the target area, and to determine whether the estimated behaviors of a plurality of passers interfere with each other. When it is determined that the estimated behaviors interfere with each other, a step of determining a recommended behavior for avoiding the interference of the behaviors, and recommended behavior information indicating the determined recommended behaviors are transmitted to the passerby. And the steps to be performed. Accordingly, it is possible to determine the occurrence of the interference before the interference of the action of the passerby actually occurs, and it is possible to provide the recommended action information to the passerby. Therefore, it is possible to suppress the occurrence of interference of the behavior of the passerby in the target area.

<Details of the embodiment of the present invention>
Hereinafter, the details of the embodiment of the present invention will be described with reference to the drawings. Note that at least a part of the embodiments described below may be arbitrarily combined.

[Overall configuration of wireless communication system]
FIG. 1 is an overall configuration diagram of a wireless communication system according to this embodiment.
As shown in FIG. 1, the wireless communication system of the present embodiment includes a plurality of communication terminals 1A to 1D capable of wireless communication, one or a plurality of base stations 2 wirelessly communicating with the communication terminals 1A to 1D, and a base station 2. It includes one or more edge servers 3 that communicate by wire or wireless, and one or more core servers 4 that communicate with the edge server 3 by wire or wirelessly.

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 the metro network.
The metro network is a communication network constructed for each city, for example. Each metro network is connected to the core network.
The base station 2 is communicatively connected to one of the edge servers 3 of the distributed data center included in the metro network.

The core server 4 is communicatively connected to the core network. The edge server 3 is communicatively connected to the metro network. Therefore, the core server 4 can communicate with the edge server 3 and the base station 2 belonging to the metro networks of various places via the core network and the metro network.
The base station 2 includes at least one of a macro cell base station, a micro cell base station, and a pico cell base station.

For example, a traffic regulation database 91 and a driver information database (hereinafter referred to as “DB”) 92 are connected to the metro network. The traffic regulation DB 91 stores, for example, traffic regulations such as the Road Traffic Law, Road Traffic Law Enforcement Order, and Road Traffic Law Enforcement Regulations. The information stored in the traffic regulation DB 91 is not limited to natural language, and may be any traffic regulation expressed by a data structure that can be processed by a computer. The driver information DB 92 stores the driver information of the vehicle. The driver information includes a driver ID, a vehicle ID, a driving skill level, and the like.
Each of the edge server 3 and the core server 4 can communicate with each of the traffic regulation DB 91 and the driver information DB 92. Note that the traffic regulation DB 91 and the driver information DB 92 are not provided separately from the edge server 3 and the core server 4, but the edge server 3 or the core server 4 has the functions of the traffic regulation DB 91 and the driver information DB 92. Good.

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

The above-mentioned network virtualization technology is a basic concept of "fifth generation mobile communication system" (hereinafter, abbreviated as "5G" (5th Generation)), which is currently being standardized. Therefore, the wireless communication system of this embodiment is composed of, for example, 5G.
However, the wireless communication system of the present embodiment is a mobile communication system capable of defining a plurality of network slices (hereinafter, also referred to as “slices”) S1 to S4 according to a predetermined service request condition such as a delay time. Well, it is not limited to 5G. Further, the layers of the slices to be defined are not limited to four layers and may be five layers or more.

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 directly communicate with each other. The communication terminals 1A to 1D that communicate directly 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 illustrated example) in 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 illustrated example) in 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 through 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-level communication node (core server 4 in the illustrated example) in slice S4 is also referred to as "node N4".
In the slice S4, the nodes N2 and N3 serve as relay nodes. That is, data communication is performed through 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, the edge server 3 may be a routing node that does not serve as a relay node. In this case, data communication is performed through 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 (node N2) are included in the slice S2, routing for tracing communication between the base stations 2 and 2 is also possible.
Similarly, when a plurality of edge servers 3 (node N3) are included in the slice S3, routing for tracing communication between the edge servers 3 and 3 is also possible. When a plurality of core servers 4 (node 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 includes a wireless communication device mounted on the vehicle 5. The vehicle 5 includes not only an ordinary passenger vehicle but also a public vehicle such as a route bus or an emergency vehicle. 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 any of an engine drive, an electric motor drive, and a hybrid system. The driving method of the vehicle 5 may be either normal driving in which the driver performs an operation such as acceleration/deceleration or steering of the steering wheel, or automatic driving in which the operation is executed by software.

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

The communication terminal 1B is a mobile terminal carried by the pedestrian 7. The pedestrian 7 is a person who walks outdoors such as a road or a parking lot, or indoors such as a building or an underground mall. The pedestrian 7 includes not only a person who walks, but also a person who rides on a bicycle that does not have a power source.
The communication terminal 1C includes a wireless communication device mounted on the roadside sensor 8. The roadside sensor 8 is composed of an image-type vehicle detector installed on the road, a security camera installed outdoors or indoors, and the like. The communication terminal 1D includes a wireless communication device mounted on the traffic signal controller 9 at the intersection.

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

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 slices via the base station 2 The wireless communication of S2 is possible.
However, in the present embodiment, an information providing service for users included in a relatively wide service area (for example, an area including municipalities or prefectures) using the slices S3 and S4 in the wireless communication system of FIG. 1 is provided. I'm assuming.

[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.
As shown in 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, a communication unit 35, and the like. Equipped with.

The control unit 31 controls 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 programs, and enables the computer device to communicate with the core server 4, the base station 2, and the like. Make it function as an edge server.
The RAM 33 is composed of a volatile memory element such as SRAM (Static RAM) or 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 configured by a nonvolatile memory element such as a flash memory or an EEPROM (Electrically Erasable Programmable Read Only Memory), or a magnetic storage device such as a hard disk.
The communication unit 35 includes a communication device that executes communication processing compatible with 5G, and communicates 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.

As illustrated in FIG. 2, the storage unit 34 of the edge server 3 stores a dynamic information map (hereinafter, also simply referred to as “map”) M1 in a target area such as an intersection, a road, or a parking lot.
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 digital information forming the map M1 includes the following "dynamic information", "quasi-dynamic information", "quasi-static information", and "static information".

“Dynamic information” (up to 1 second) is dynamic data that requires a delay time of 1 second or less. For example, the position information of a moving body (vehicle, pedestrian, etc.), signal information, and the like, which are utilized as ITS (Intelligent Transport Systems) prefetch information, correspond to the dynamic information.
The “quasi-dynamic information” (up to 1 minute) is semi-dynamic data that requires a delay time of 1 minute or less. For example, accident information, traffic jam information, and narrow area weather information correspond to the semi-dynamic information.

“Quasi-static information” (up to 1 hour) is quasi-static data that allows a delay time of 1 hour or less. For example, traffic regulation information, road construction information, wide area weather information, and the like correspond to quasi-static information.
“Static information” (up to one month) is static data that allows a delay time of one month or less. For example, road surface information, lane information, three-dimensional structure data, etc. 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 every predetermined update cycle (dynamic information update processing).
Specifically, the control unit 31 outputs various sensor information measured by the vehicle 5, the roadside sensor 8 and the like in the service area of the own device from each of the 5G compatible communication terminals 1A to 1D at a predetermined update cycle. The dynamic information of the map M1 is updated based on the collected sensor information.

The control unit 31 of the edge server 3 can collect the sensor information measured by the vehicle 5, the roadside sensor 8, and the pedestrian terminal 70 at predetermined intervals.
The sensor information of the vehicle 5 includes high-definition image data (may be a moving image), vehicle CAN (Controller Area Network) information, and the like. The image data of the vehicle 5 is image data of the surroundings of the vehicle 5 taken by the vehicle-mounted camera 59. In the case of the vehicle 5 having the in-vehicle camera, the image data of the driver may be included.

The sensor information of the roadside sensor 8 includes high-definition image data (may be a moving image). The image data is image data of a predetermined photographing area photographed by the roadside camera 83.

The sensor information of the pedestrian terminal 70 includes the position of the pedestrian (own device) by GPS, the acceleration by the acceleration sensor, the azimuth by the gyro sensor, and the like.
At a predetermined point in the service area after the present time, the control unit 31 of the edge server 3 is based on the information acquired from each sensor such as the vehicle 5, the roadside sensor 8 and the pedestrian terminal 70 in every predetermined update cycle. The behavior of each passerby is estimated for each predetermined cycle, and when the estimated behaviors of a plurality of passers interfere with each other, a recommended behavior for avoiding the interference of the behaviors is determined (behavior adjustment processing).

When the control unit 31 receives a request message for dynamic information from the communication terminals 1A and 1B of a predetermined user, the control unit 31 sends the latest dynamic information to the communication terminals 1A and 1B that are the senders of the request message for each predetermined delivery cycle. Distribute (information distribution process). When the recommended action is determined, the control unit 31 distributes the recommended action information indicating the determined recommended action to the communication terminals 1A and 1B in the information distribution 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 service support center, and the like, and based on the collected information, the quasi-dynamic information and the quasi-static information of the map M1. To update.

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

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 programs, and functions as a core server 4 capable of communicating the computer device with the edge server 3. Let
The RAM 43 is composed of a volatile memory element such as SRAM or 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 nonvolatile memory element such as a flash memory or an EEPROM, or a magnetic storage device such as a hard disk.
The communication unit 45 includes a communication device that executes communication processing compatible with 5G, and communicates with the edge server 3 and the base station 2 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 dynamic information map M2.
The data structure of the map M2 (data structure including dynamic information, semi-dynamic information, semi-static information, and static information) is the same as that 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 a plurality of edge servers 3 is integrated.

As in the case of the edge server 3, the control unit 41 of the core server 4 sends the dynamic information update process for updating the dynamic information of the map M2 stored in the storage unit 44, the behavior adjustment process, and the request message. It is possible to perform an information distribution process of distributing the dynamic information and the recommended behavior information in response.
That is, the control unit 41 can independently execute the dynamic information update processing, the behavior adjustment processing, and the information distribution processing based on the map M2 of the own apparatus, separately from the edge server 3.

However, the core server 4 belonging to the slice S4 has a longer delay time in 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 updates the dynamic information of the map M2 independently, the real-time property is inferior to the dynamic information of the map M1 managed by the edge server 3. Similarly, the recommended behavior information generated by the core server 4 is inferior in real time to the recommended behavior information generated by the edge server 3. Therefore, for example, according to the priority defined for each predetermined area, the control unit 31 of the edge server 3 and the control unit 41 of the core server 4 disperse the dynamic information update processing, the behavior adjustment processing, and the information distribution processing in a distributed manner. Treatment is preferred.

The control unit 41 collects traffic information and meteorological information of each place in the service area from a traffic control center, a private meteorological operation support center, and the like, and based on the collected information, quasi-dynamic information and quasi-static information of the map M2. To update.
The control unit 41 may employ the quasi-dynamic information and the quasi-static information of the map M1 received from the edge server 3 as the quasi-dynamic information and the quasi-static information of the map M2 of its own device.

[Internal configuration of in-vehicle device]
FIG. 3 is a block diagram showing an example of the internal configuration of the vehicle-mounted device 50.
As shown in FIG. 3, the in-vehicle device 50 of 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, a speaker 57, and an input. A device 58, a vehicle-mounted camera 59, a radar sensor 60, a communication unit 61 and the like are provided.

The communication unit 61 includes the above-described communication terminal 1A, that is, a wireless communication device capable of performing communication processing compatible with 5G, for example.
Therefore, the vehicle 5 can communicate with the edge server 3 as a kind of mobile terminal belonging to the slice S3. 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 performs a route search for 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.
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 direction of the vehicle 5.
The storage unit 55 includes a map database. The map database provides the control unit 51 with road map data. 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 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 a 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 for route search, a map image around the 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. 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 a passenger of the vehicle 5 to perform various input operations. The input device 58 is composed of a combination of operation switches provided on the handle, a joystick, a touch panel provided on the display 56, and the like.
A voice recognition device that receives an input by voice recognition of a passenger may be used as the input device 58. The input signal generated by the input device 58 is transmitted to the control unit 51.

The vehicle-mounted camera 59 includes an image sensor that captures an image in front of the vehicle 5. The vehicle-mounted camera 59 may be either a single eye or a 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 or a LiDAR method.
The control unit 51 executes driving assistance control that outputs a caution to the occupant who is driving on the display 56 or performs a compulsory braking intervention, based on the measurement data from the vehicle-mounted camera 59 and the radar sensor 60. be able to.

The control unit 51 is configured by an arithmetic processing device such as a microcomputer that executes various control programs stored in the storage unit 55.
The control unit 51 executes the control program to display a map image on the display 56, and a function of calculating a route from a starting point to a destination (including a position of a relay point, if any). Various navigation functions such as a function of guiding the vehicle 5 to a destination according to the calculated route can be executed.

The control unit 51 performs an object recognition process of recognizing an object in front of or in the vicinity of the own vehicle based on measurement data of at least one of the vehicle-mounted camera 59 and the radar sensor 60, and a measurement for calculating a distance to the recognized object. Distance processing is possible.
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 the following processes in communication with the edge server 3 (which may be the core server 4).
1) Request message transmission processing 2) Information reception processing 3) Change point information calculation processing 4) Change point information transmission processing 5) Sensor information transmission processing 6) Recommended action information output processing

The request message transmission process is a process of transmitting to the edge server 3 a control packet requesting distribution of the dynamic information of the map M1 that the edge server 3 sequentially updates. 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 vehicle ID of the transmission source at a predetermined distribution cycle.

The information receiving process is a process of receiving the dynamic information distributed by the edge server 3 to the own device.
The process of calculating change point information in the vehicle 5 is a process of calculating the amount of change between the received dynamic information and the sensor information of the own vehicle at the time of reception, based on the comparison result. As the change point information calculated by the vehicle 5, for example, the following information examples a1 and a2 can be considered.

Information Example a1: Change Point Information Regarding Recognized Object Although the control unit 51 does not include the object X (vehicle, pedestrian, obstacle, etc.) in the received dynamic information, the control unit 51 detects the object X by its own object recognition processing. In that case, the image data and the position information of the detected object X 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 the object recognition processing of the controller 51 deviate from each other by a predetermined threshold value or more, the control unit 51 detects the detected object X. The difference value between the image data and the position information of the two is set as the change point information.

Information Example a2: Change Point Information Regarding Own Vehicle The control unit 51 deviates the position information of the own vehicle included in the received dynamic information from the vehicle position of the own vehicle calculated by the GPS signal by a predetermined threshold value or more. If so, the difference value between the two is used as the change point information.
When the azimuth of the own vehicle included in the received dynamic information and the azimuth of the own vehicle calculated 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 change point information.

When calculating the change point information as described above, the control unit 51 generates a communication packet addressed to the edge server 3 including the calculated change point information. The control unit 51 includes the vehicle ID of the own vehicle in the communication packet.
The changing point information transmitting process is a process of transmitting the communication packet including the changing point information in the data to the edge server 3. The transmission processing of the change point information is performed within the distribution period of the dynamic information by the edge server 3.

The sensor information transmission process is a process of transmitting the packet including the sensor information of the vehicle 5 in the data to the edge server 3. The sensor information of the vehicle 5 includes high-definition image data (may be a moving image), vehicle CAN (Controller Area Network) information, and the like. The image data of the vehicle 5 is image data of the surroundings of the vehicle 5 taken by the vehicle-mounted camera 59. In the case of the vehicle 5 having the in-vehicle camera, the image data of the driver may be included. The process of transmitting the sensor information is performed within the distribution period of the dynamic information by the edge server 3.

The output process of the recommended action information is a process of outputting the recommended action information received from the edge server 3. The output of the recommended action information is performed, for example, by displaying the recommended action information on the display 56.

Based on the dynamic information received from the edge server 3 or the like, the control unit 51 outputs a warning to the driver who is driving on the display 56 and executes driving support control such as forcible braking intervention. You can also

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

As shown in FIG. 4, the pedestrian terminal 70 includes a control unit 71, a storage unit 72, a display unit 73, an operation unit 74, a communication unit 75, a GPS receiver 76, an acceleration sensor 77, and a gyro sensor 78.
The communication unit 75 includes 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 the digital signal to the control unit 71, converts the digital signal input from the control unit 71 into an RF signal, and transmits the RF signal to the base station 2.

The control unit 71 includes a CPU, a ROM, a RAM and the like. The control unit 71 reads out and executes the program stored in the storage unit 72 to control the overall operation of the pedestrian terminal 70.
The storage unit 72 includes a hard disk, a non-volatile memory, or the like, and stores various computer programs and data. The storage unit 72 stores a mobile ID that is identification information of the pedestrian terminal 70. The mobile ID is, for example, a unique user ID or MAC address of the carrier contractor.

The storage unit 72 stores various application software that the user arbitrarily installed.
The application software includes, for example, application software for enjoying the information providing service for receiving the dynamic information of the map M1 and the like through 5G communication with the edge server 3 (or the core server 4).

The control unit 71 is a computer device that searches for a route of the pedestrian 7 and controls the other electronic devices 72 to 78. The control unit 71 obtains the position of the pedestrian (own device) from the GPS signal periodically acquired by the GPS receiver 76.
The control unit 71 complements the pedestrian position and azimuth based on the input signals of the acceleration sensor 77 and the gyro sensor 78, and grasps the accurate current position and azimuth of the pedestrian 7.

The GPS receiver 76, the acceleration sensor 77, and the gyro sensor 78 are sensors that measure the current position, acceleration, and direction of the pedestrian 7.

The operation unit 74 includes various operation buttons and a touch panel function of the display unit 73. The operation unit 74 outputs an operation signal according to a user operation to the control unit 71.
The display unit 73 includes, for example, a liquid crystal display, and presents various kinds of information to the user. For example, the display unit 73 can display the image data of the dynamic information maps M1 and M2 transmitted from the servers 3 and 4 on the screen.

The control unit 71 can execute the following processes in communication with the edge server 3 (which may be the core server 4).
1) Request message transmission process 2) Sensor information transmission process 3) Information reception process 4) Recommended action information output process

The request message transmission process is a process of transmitting to the edge server 3 a control packet requesting distribution of the dynamic information of the map M1 that the edge server 3 sequentially updates. 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 sends the dynamic information and the recommended behavior information to the communication terminal 1B of the pedestrian 7 having the mobile ID of the transmission source if the dynamic information and the recommended behavior are determined. It is delivered at a predetermined delivery cycle.

The process of transmitting the sensor information is a process of transmitting the sensor information of the pedestrian terminal 70 such as the position and direction information of the own device to the edge server 3. The sensor information includes information on the current position, acceleration, and orientation of the pedestrian 7, which is detected by the GPS receiver 76, the acceleration sensor 77, and the gyro sensor 78. The sensor information may include identification information indicating whether or not application software that easily causes a so-called “walking smartphone” such as a map application, a mail application, and a game application is being displayed.
The information receiving process is a process of receiving the dynamic information and the recommended behavior information distributed by the edge server 3 to the own device.

The output process of the recommended action information is a process of outputting the recommended action information received from the edge server 3. The output of the recommended action information is performed, for example, by displaying the recommended action information on the display unit 73.

[Internal configuration of roadside sensor]
FIG. 5 is a block diagram showing an example of the internal configuration of the roadside sensor 8.
As shown in 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 includes the above-described communication terminal 1C, that is, a wireless communication device capable of communication processing compatible with, 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. 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, a RAM and the like. The control unit 81 reads out 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 configured by a hard disk, a non-volatile memory, or the like, and stores various computer programs and data. The storage unit 82 stores a sensor ID that is identification information of the roadside sensor 8. The sensor ID is, for example, a user ID unique to the owner of the roadside sensor 8 or a MAC address.

The roadside camera 83 includes an image sensor that captures an image of a predetermined shooting area. The roadside camera 83 may be either a single eye or a 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 or a LiDAR method.
When the roadside sensor 8 is a security camera, the control unit 81 sends the captured image data and the like to the computer device of the security manager. When the roadside sensor 8 is an image type vehicle detector, the control unit 81 transmits the captured video data and the like to the traffic control center.

The control unit 81 performs an object recognition process of recognizing an object in the shooting area and a distance measurement process of 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. It is possible.
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 the following processes in communication with the edge server 3 (or the core server 4).
1) Change point information calculation processing 2) Change point information transmission processing 3) Sensor information transmission processing

The calculation processing of the change point information in the roadside sensor 8 is based on the comparison result of the previous sensor information and the current sensor information for each predetermined measurement cycle (for example, the distribution cycle of the dynamic information by the edge server 3). This is a process for calculating the amount of change between the sensor information items. As the change point information calculated by the roadside sensor 8, for example, the following information example b1 can be considered.

Information Example b1: Change Point Information Regarding Recognized Object Although the control unit 81 does not include the object Y (vehicle, pedestrian, obstacle, etc.) in the previous object recognition process, the control unit 81 detects the object Y by the current object recognition process. In this case, the image data of the detected object Y and the position information are used as the change point information.
When the positional information of the object Y obtained by the previous object recognition process and the positional information of the object X obtained by the current object recognition process are deviated by a predetermined threshold value or more, the control unit 81 detects the detected object Y. The position information and the difference value between the two are used as change point information.

When the change point information is calculated as described above, the control unit 81 generates a communication packet addressed to the edge server 3 including the calculated change point information. The control unit 81 includes the sensor ID of its own device in the communication packet.
The changing point information transmitting process is a process of transmitting the communication packet including the changing point information in the data to the edge server 3. The transmission processing of the change point information is performed within the distribution period of the dynamic information by the edge server 3.

The sensor information transmission process is a process of transmitting the above communication packet including the sensor information of the roadside sensor 8 to the edge server 3. The sensor information of the roadside sensor 8 includes high-definition image data (may be a moving image). The image data is image data of a predetermined photographing area photographed by the roadside camera 83. The sensor information of the roadside sensor 8 may include position information detected by the radar sensor 84. The process of transmitting the sensor information is performed within the distribution period of the dynamic information 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 embodiment of the present invention.
As shown in 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 a service area (real word) of the edge server 3 which is a relatively wide area. And the edge server 3 capable of low-delay wireless communication by 5G communication or the like via the base station 2.

The edge server 3 collects the above-described change point information from the vehicle 5 and the roadside sensor 8 in a predetermined cycle (step S31), integrates the collected change point information by map matching, and manages the dynamic information under management. The dynamic information of the map M1 is updated (step S32).

The edge server 3 can collect the sensor information obtained by the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8 in every predetermined cycle, in addition to the collection of the change point information in every predetermined cycle (step S31). (Step S33).
The edge server 3 estimates the behavior of a passerby that may occur at a predetermined point in the service area after the present time, based on the acquired sensor information, for each predetermined update cycle, and estimates it among a plurality of passersby. It is determined whether or not the specified behavior interferes, and when the interference occurs, the recommended behavior of the passerby is determined (action adjustment processing: step S34).
If the edge server 3 receives a request from the vehicle 5 or the pedestrian terminal 70, the edge server 3 transmits the latest dynamic information and recommended behavior information to the requesting communication node (step S35). Accordingly, for example, the vehicle 5 and the pedestrian terminal 70 that have received the dynamic information and the recommended behavior information can utilize the dynamic information and the recommended behavior information for the driving assistance of the driver and the passage assistance of the pedestrian.

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 S36).
As described above, in the information providing system of the present embodiment, collection of change point information (step S31)→update of dynamic information (step S32)→collection of sensor information (step S33)→determination of recommended behavior of passersby ( Information processing in each communication node is performed in the order of step S34)→distribution of dynamic information and recommended behavior information (step S35)→detection of change point information by vehicle (step S36)→collection of change point information (step S31). Circulate.

Although the information providing system including only one edge server 3 is illustrated in FIG. 6, a plurality of edge servers 3 may be included, and instead of the edge server 3 or in addition to the edge server 3, One or a plurality of core servers 4 may be included.
Further, the dynamic information map M1 managed by the edge server 3 may be a map in which at least the dynamic information of the object is superimposed on map information such as a digital map. This also applies to the dynamic information map M2 of the core server.

[Dynamic information update processing, behavior adjustment processing, and information distribution processing]
FIG. 7 is a sequence diagram showing an example of dynamic information update processing, behavior adjustment processing, and information distribution processing that is executed by the cooperation of the pedestrian terminal 70, the vehicle 5, the roadside sensor 8, and the edge server 3. is there.
In the following description, the execution subjects are the pedestrian terminal 70, the vehicle 5, the roadside sensor 8 and the edge server 3, but the actual execution subjects are the control units 71, 51, 81 and 31 thereof. U1, U2... In FIG. 7 are distribution periods of dynamic information.

As shown in FIG. 7, when the edge server 3 receives a request message for dynamic information from the pedestrian terminal 70 and the vehicle 5 (step S1), the latest dynamic information at the time of reception is sent to the pedestrian terminal that is the transmission source. 70 and the vehicle 5 (step S2).
When there is a request message from either the pedestrian terminal 70 or the vehicle 5 in step S1, the dynamic information is delivered only to one communication terminal which is the transmission source of the request message in step S2.

When the vehicle 5 that has received the dynamic information in step S2 detects the change point information from the comparison result of the dynamic information and its own sensor information within the distribution cycle U1 (step S3), the detected change point information is edged. It is transmitted to the server 3 (step S5).
When the roadside sensor 8 detects the change point information of its own sensor information within the distribution cycle U1 (step S4), it transmits the detected change point information to the edge server 3 (step S5).

Each of the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8 transmits the acquired sensor information to the edge server 3 within the distribution cycle U1 (step S6).

When the edge server 3 receives the change point information from the vehicle 5 and the roadside sensor 8 within the distribution cycle U1, the edge server 3 updates the dynamic point information reflecting the change point information (step S7).
The edge server 3 executes the action adjustment process within the distribution cycle U1 (step S8). In the action adjustment process, the edge server 3 estimates the action of the passerby based on the sensor information transmitted from each of the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8, and is estimated among a plurality of passersby. It is determined whether or not the specified behavior interferes, and when it is determined to interfere, the recommended behavior of the passerby is determined.
The edge server 3 distributes the updated dynamic information and the recommended behavior information when the recommended behavior is determined to the pedestrian terminal 70 and the vehicle 5 (step S9).

When only the vehicle 5 detects the change point information within the distribution cycle U1, only the change point information detected by the vehicle 5 in step S3 is transmitted to the edge server 3 (step S5), and only the change point information is reflected. The updated dynamic information is updated (step S7).
If only the roadside sensor 8 detects the change point information within the distribution cycle U1, only the change point information detected by the roadside sensor 8 in step S4 is transmitted to the edge server 3 (step S5), and only the change point information is transmitted. The dynamic information that reflects is updated (step S7).
If both the vehicle 5 and the roadside sensor 8 do not detect the change point information within the distribution cycle U1, the processes of steps S3 to S5 and S7 are not executed, and the dynamic information of the previous transmission (step S2). The same dynamic information as is distributed to the pedestrian terminal 70 and the vehicle 5 (step S9).

When the vehicle 5 receiving the dynamic information in step S9 detects the change point information from the result of comparison between the dynamic information and its own sensor information within the distribution cycle U2 (step S10), the detected change point information is edged. It is transmitted to the server 3 (step S12).
When the roadside sensor 8 detects the change point information of its own sensor information within the distribution cycle U2 (step S11), it transmits the detected change point information to the edge server 3 (step S12).

Each of the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8 transmits the acquired sensor information to the edge server 3 within the distribution cycle U2 (step S13).

When the edge server 3 receives the change point information from the vehicle 5 and the roadside sensor 8 within the distribution cycle U2, the edge server 3 updates the dynamic point information reflecting the change point information (step S14).
The edge server 3 estimates the behavior of the passerby based on the sensor information transmitted from each of the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8 within the distribution cycle U2, and estimates among a plurality of passersby. It is determined whether or not the performed actions interfere, and if it is determined that the actions interfere, the recommended action of the passerby is determined (step S15).
The edge server 3 distributes the updated dynamic information and, when the recommended behavior is determined, the recommended behavior information to the pedestrian terminal 70 and the vehicle 5 (step S16).

When only the vehicle 5 detects the change point information within the distribution cycle U2, only the change point information detected by the vehicle 5 in step S10 is transmitted to the edge server 3 (step S12), and only the change point information is reflected. The updated dynamic information is updated (step S14).
If only the roadside sensor 8 detects the change point information within the distribution cycle U2, only the change point information detected by the roadside sensor 8 in step S11 is transmitted to the edge server 3 (step S12), and only the change point information is acquired. The dynamic information that reflects is updated (step S14).
If both the vehicle 5 and the roadside sensor 8 do not detect the change point information within the distribution cycle U2, the processes of steps S10 to S12 and S14 are not executed, and the dynamic information of the previous transmission (step S9). The same dynamic information as is distributed to the pedestrian terminal 70 and the vehicle 5 (step S16).

Thereafter, the same sequence as described above is performed until a dynamic information distribution stop request message is received from both the pedestrian terminal 70 and the vehicle 5 or communication between the pedestrian terminal 70 and the vehicle 5 is cut off. Repeated.

The edge server 3 stores the driver information in the driver information DB 92. In a specific example, the edge server 3 determines the traveling experience of the driver in the target area from the position information acquired by the GPS receiver 52. The edge server 3 can also receive probe information acquired by the control unit 51 of the vehicle 5 such as a driver's accelerator work, steering operation, and brake operation. Further, for example, an in-vehicle camera that images the driver may be mounted on the vehicle 5, and the edge server 3 may acquire the line-of-sight distribution information of the driver based on the image of the in-vehicle camera. The edge server 3 can calculate the driving skill level of the driver based on at least one of the traveling experience of the target area, the probe information, and the line-of-sight distribution information. The edge server 3 can register the calculated driving skill level in the driver information DB 92 in association with the driver ID and the vehicle ID.

[Adjustment of passerby behavior]
Hereinafter, the adjustment of the behavior of the passerby will be described in more detail. FIG. 8 is a functional block diagram showing an example of functions of the edge server 3 according to the present embodiment. As shown in FIG. 8, the edge server 3 has the functions of a reception unit 310, an estimation unit 320, a determination unit 330, a determination unit 340, and a transmission unit 350.

The receiving unit 310 can receive the sensor information transmitted from each of the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8.

The estimation unit 320 estimates future actions of passers-by, that is, the vehicle 5 (driver) and the pedestrian 7 in the target area based on the sensor information received by the reception unit 310. For example, the estimation unit 320 may estimate, in the future, in which direction and at what speed the passerby will move from the movement vector of the passerby. The estimation unit 320 may estimate what kind of behavior the passerby will take in the future (stop when the traffic light is red, run when the traffic light is green, etc.) based on the lighting state of the traffic light. In addition, the estimation unit 320 may estimate from which lane the vehicle 5 is traveling in which direction the vehicle 5 will travel (in the case of a right turn lane, turn right, etc.). In addition, the estimation unit 320 estimates the direction in which the vehicle 5 is going from the lighting state of the turn indicator of the vehicle 5 (when the right turn indicator is turned on, turn right, etc.). Good.

The determination unit 330 determines whether or not the behaviors estimated by the estimation unit 320 interfere with each other for a plurality of passers-by. In a specific example, the determination unit 330 can determine whether the actions interfere with each other by determining whether the estimated moving directions of the plurality of passers cross each other. In other words, the determination unit 330 determines that the movements of the passers-by intersect with each other when the movement directions of the passers-by intersect with each other, and determines that the movement directions of the passers-by do not intersect with each other when the movement directions of the passers-by intersect with each other. It can be determined that the behaviors of do not interfere with each other.

The determination unit 330 may group passers-by in the target area and determine, for each group of passers-by, whether or not the estimated actions interfere with each other.

9A, FIG. 10A, and FIG. 11A are diagrams for explaining an example of determination of action interference by the edge server 3 according to the present embodiment.

In the example shown in FIG. 9A, a vehicle A, a vehicle B that is an oncoming vehicle of the vehicle A, vehicles C and D that are preceding vehicles of the vehicle B, and a pedestrian a pass through the intersection of the crossroads. It is estimated that the vehicle A enters the intersection and turns right. It is presumed that vehicle B goes straight through the intersection in the opposite direction to vehicle A. It is estimated that the vehicles C and D have already passed the intersection and are kept in a stopped state. A space for one vehicle exists behind the vehicle D. It is estimated that the pedestrian a crosses the pedestrian crossing on the right side of the vehicle A in the same direction as the traveling direction of the vehicle A.

In the example of FIG. 9A, the estimated moving directions of the vehicle A and the vehicle B intersect with each other. Therefore, the determination unit 330 determines that the actions interfere between the vehicle A and the vehicle B. Further, in the example of FIG. 9A, the estimated moving directions of the vehicle A and the pedestrian a intersect each other. Therefore, the determination unit 330 determines that the action interferes between the vehicle A and the pedestrian a.

In the example of FIG. 9A, the determination unit 330 may group passers-by at the intersection of the crossroads that is the target area. Specifically, the determination unit 330 can create a group 1 of vehicles A and B and a group 2 of vehicles A and pedestrians a. The determination unit 330 can determine that the action interferes between the vehicle A and the vehicle B in the group 1, and can determine that the action interferes between the vehicle A and the pedestrian a in the group 2.

In the example shown in FIG. 10A, two parallel roads having a large road width are connected to one road having a small road width. Vehicles A and B are stopped on one road having a large road width, and vehicle C is stopped on the other road having a large road width. The road width of the road where the vehicle C is stopped is smaller than the road width of the road where the vehicles A and B are stopped. It is estimated that vehicles A and B turn right and enter a road with a narrow road width. It is estimated that the vehicle C also turns right and enters a road having a small road width. A road with a small road width is a road width where vehicles can barely travel in opposite directions.

In the example of FIG. 10A, the estimated moving directions of the vehicle A and the vehicle C intersect with each other. Therefore, the determination unit 330 determines that the actions interfere between the vehicle A and the vehicle C.

In the example illustrated in FIG. 11A, the vehicle A is stopped on the straight road on the T-shaped road, and the vehicle B travels toward the T-shaped road on a road that is vertically connected to the straight road. It is estimated that the vehicle A turns right at the T-junction and the vehicle B also turns right at the T-junction.

In the example of FIG. 11A, the estimated moving directions of the vehicle A and the vehicle B intersect with each other. Therefore, the determination unit 330 determines that the actions interfere between the vehicle A and the vehicle B.

Referring back to FIG. When the determining unit 330 determines that the estimated actions interfere with each other, the determining unit 340 determines a recommended action for avoiding the action interference for each of the plurality of passers-by. The determining unit 340 may determine the recommended action based on the traffic regulation stored in the traffic regulation DB 91. In addition, when the passerby includes the driver of the vehicle 5, the determining unit 340 may determine the recommended action based on the driving skill level of the driver stored in the driver information DB 92.

FIG. 9B, FIG. 10B, FIG. 10C, and FIG. 11B are diagrams for explaining specific examples of determination of recommended actions by the edge server 3 according to the present embodiment.

FIG. 9B shows an example of determining the recommended action in the example of FIG. 9A. In this example, the deciding unit 340 has priority on a straight-ahead vehicle according to traffic regulations, the driver skill level of the vehicle A and the driver level of the vehicle B are at the same level, and one vehicle after the vehicle C. Since there is a space of, "go straight" is determined as the recommended action for the vehicle B. The determination unit 340 determines “waiting for a right turn” as the recommended action for the vehicle A in order to avoid the action interference between the vehicle A and the vehicle B. The determination unit 340 also determines “waiting for right turn” as the recommended action for the vehicle A in order to avoid the action interference between the vehicle A and the pedestrian a. The determination unit 340 may determine “crossing a pedestrian crossing” as the recommended action of the pedestrian a.

FIG. 10B shows an example of determining the recommended action in the example of FIG. 10A. In this example, the determination unit 340 does not have a vehicle following the vehicle C, and the driving skill levels of the drivers in the vehicles A, B, and C are at the same level, and thus “turn right” is selected as the recommended action for the vehicles A and B. decide. The determination unit 340 determines “waiting for right turn” as a recommended action for the vehicle C in order to avoid interference of actions between the vehicles A and B and the vehicle C. As a result, the approach of vehicles A and B to a narrow road is prioritized over the approach of vehicle C to the road.

FIG. 10C shows another example of determining the recommended action in the example of FIG. 10A. In this example, the driving skill of the driver of vehicle C is higher than the driving skill of the drivers of vehicles A and B. In this case, the determination unit 340 determines “wait after turning right” as the recommended action for the vehicle C in order to avoid the action interference between the vehicles A and B and the vehicle C. The determination unit 340 determines “turn right” as the recommended action for the vehicles A and B. As a result, the vehicle C is prompted to enter a narrow road in order to avoid the occurrence of traffic congestion due to another vehicle arriving after the vehicle C while waiting, although there is no vehicle following the vehicle C. It is also recommended to wait after vehicle C has entered a narrow road. As a result, the vehicle C, which has a high degree of driving skill for the driver, stands by on a narrow road, slowly moves past the vehicles A, B, and the interference of the actions between the vehicles A, B and C is avoided. ..

FIG. 11B shows an example of determination of recommended behavior in the example of FIG. 11A. In this example, the right turn of the vehicle A is prioritized over the right turn of the vehicle B according to the traffic rule of the left priority. The driving skills of the drivers in the vehicles A and B are at the same level. The determination unit 340 determines “turn right” as the recommended action of the vehicle A, and “waits for right turn” as the recommended action of the vehicle B.

Referring back to FIG. The transmission unit 350 transmits the recommended behavior information indicating the recommended behavior determined by the determination unit 340 to the vehicle 5 and the pedestrian terminal 70. The recommended behavior information of the vehicle 5 is output (displayed) on the display 56. The recommended behavior information of the pedestrian 7 is output (displayed) on the display unit 73. In the example of FIG. 9B, the recommended action information “Please wait” is displayed in the vehicle A, and the recommended action information “Please go straight” is displayed in the vehicle B. In the example of FIG. 10B, the recommended action information “Please turn right” is displayed in the vehicles A and B, and the recommended action information “Please wait” is displayed in the vehicle C. In the example of FIG. 10C, the recommended action information “Please turn right” is displayed for vehicles A and B, and the recommended action information “Please wait after turning right (with oncoming vehicle)” is displayed on vehicle C. .. In the example of FIG. 11B, the recommended action information “Please turn right” is displayed on the vehicle A, and the recommended action information “Please wait” is displayed on the vehicle B.

The reception unit 310 and the transmission unit 350 can be realized by the communication unit 35, for example. The estimation unit 320, the determination unit 330, and the determination unit 340 can be realized by the control unit 31, for example.

FIG. 12 is a flowchart showing an example of the procedure of the action adjustment processing by the edge server according to the present embodiment. The edge server 3 receives the sensor information obtained by the vehicle 5, the pedestrian terminal 70, and the roadside sensor 8 (step S101).

The control unit 31 estimates the behavior of the passerby in the target area based on the received sensor information (step S102).

The control unit 31 performs grouping of passers-by (step S103), and determines for each group whether or not actions interfere with passers-by (step S104).

The control unit 31 determines whether or not there is at least one group for which it is determined that the actions interfere (step S105). When there is no group for which it is determined that the actions interfere (NO in step S105), the control unit 31 ends the process.

When there is a group determined to interfere with the action (YES in step S105), the control unit 31 selects one group determined to interfere with the action (step S106).

The control unit 31 determines whether a vehicle is included in the selected group (step S107). When no vehicle is included in the selected group (NO in step S107), control unit 31 shifts the processing to step S111.

When a vehicle is included in the selected group (YES in step S107), control unit 31 acquires the relevant traffic regulation from traffic regulation DB 91 (step S108).

The control unit 31 acquires the driving skill level of the driver from the driver information DB 92 (step S109). In this process, the control unit 31 can retrieve the driving skill level from the driver information DB 92 using the vehicle ID of the vehicle included in the group or the driver ID of the driver of the vehicle as a key.

The control unit 31 determines the recommended behavior of each passerby included in the group (step S110). In this process, the control unit can determine the recommended behavior of the passerby using at least one of the traffic regulation acquired from the traffic regulation DB 91 and the driving skill level acquired from the driver information DB 92.

The control unit 31 determines whether or not all the groups determined to interfere with the action have been selected (step S111). When an unselected group remains in the group determined to interfere with the action (NO in step S111), the control unit 31 returns the process to step S106. The control unit 31 selects one of the unselected groups (step S106) and executes the processes of steps S107 to S111 again.

When all the groups that are determined to be interfere with each other are selected (YES in step S111), the control unit 31 sets the recommended action information indicating the determined recommended action to the vehicle 5 and the pedestrian terminal 70 as destinations. It is transmitted to the communication unit 35 (step S112). This is the end of the action adjustment process. The above process is executed at every dynamic information update cycle.

The core server 4 may also have the same functions as the edge server 3 and execute the above-mentioned action adjustment processing.

Please refer to FIG. The communication unit 61 of the vehicle 5 receives the recommended behavior information transmitted from the edge server 3 or the core server 4. The control unit 51 causes the display 56 to display (output) the recommended behavior information.

Please refer to FIG. The communication unit 75 of the pedestrian terminal 70 receives the recommended behavior information transmitted from the edge server 3 or the core server 4. The control unit 71 causes the display unit 73 to display (output) the recommended action information.

[Modification]
In the above-described embodiment, the edge server 3 receives the sensor information from the pedestrian terminal 70 and estimates the behavior of the pedestrian using the sensor information, but the present invention is not limited to this. For example, the edge server 3 may estimate the behavior of the pedestrian using the sensor information from the roadside sensor 8 and the vehicle 5. Further, the edge server 3 determines the recommended action of the pedestrian, but the present invention is not limited to this. The recommended behavior of the pedestrian may not be determined, but the recommended behavior of only the vehicle 5 may be determined.

[effect]
As described above, the information providing system according to the present embodiment includes the estimation unit 320, the determination unit 330, the determination unit 340, and the output unit (display 56, display unit 73). The estimation unit 320 estimates the behavior of a passerby (vehicle 5, pedestrian 7) in the target area. The determination unit 330 determines whether or not the behaviors estimated by the estimation unit 320 interfere with each other for a plurality of passers-by. When the determining unit 330 determines that the estimated actions interfere with each other, the determining unit 340 determines the recommended action for the passerby to avoid the action interference. The output unit outputs recommended action information indicating the recommended action determined by the determination unit 340. Accordingly, it is possible to determine the occurrence of the interference before the interference of the action of the passerby actually occurs, and it is possible to provide the recommended action information to the passerby. Therefore, it is possible to suppress the occurrence of interference of the behavior of the passerby in the target area.

The information providing system may further include a traffic regulation DB 91 that stores traffic regulations. The determining unit 340 may determine the recommended action based on the traffic regulation stored in the traffic regulation DB 91. As a result, the recommended behavior of the passerby can be determined according to the traffic regulations.

When a plurality of passers-by include the driver of the vehicle 5, the determining unit 340 may determine the recommended action based on the driving skill of the driver. As a result, for example, recommended behaviors that do not require advanced driving skill are determined for drivers with low driving skill, and recommended behaviors that require advanced driving technology are determined for drivers with high driving skill. It is possible to determine a recommended action according to the driving skill of the driver.

The determination unit 330 may determine, for each group of passers-by in the target area, whether the estimated actions interfere with each other. In one target area, the actions of passers-by may interfere in a plurality of groups. Therefore, with the above configuration, the behavior of the passerby can be adjusted in each of the plurality of groups.

When the pedestrian is included in the passers-by in the target area, the estimation unit 320 may estimate the behavior of the pedestrian based on the information regarding the behavior of the pedestrian detected by the pedestrian terminal used by the pedestrian. .. As a result, when the pedestrian includes a pedestrian, the behavior of the pedestrian can be estimated with high accuracy.

[Supplemental note]
The embodiments (including modified examples) disclosed this time are illustrative in all points and not restrictive. The scope of rights of the present invention is not limited to the above-described embodiments, but includes all modifications within the scope equivalent to the configurations described in the claims.

1A communication terminal 1B communication terminal 1C communication terminal 1D communication terminal 2 base station 3 edge server 4 core server 5 vehicle 7 pedestrian 8 roadside sensor 9 traffic signal controller 31 controller 32 ROM
33 RAM
34 storage unit 35 communication unit 41 control unit 42 ROM
43 RAM
44 storage unit 45 communication unit 50 vehicle-mounted device 51 control unit 52 GPS receiver 53 vehicle speed sensor 54 gyro sensor 55 storage unit 56 display (output unit)
57 speaker 58 input device 59 vehicle-mounted camera 60 radar sensor 61 communication unit 70 pedestrian terminal 71 control unit 72 storage unit 73 display unit (output unit)
74 operation unit 75 communication unit 76 GPS receiver 77 acceleration sensor 78 gyro sensor 81 control unit 82 storage unit 83 roadside camera 84 radar sensor 85 communication unit 91 traffic law database 92 driver information database 310 reception unit 320 estimation unit 330 determination unit 340 Determiner 350 Transmitter

Claims (7)

An estimation unit that estimates the behavior of a passerby in the target area,
A determination unit that determines whether the behaviors estimated by the estimation unit for a plurality of passers-by interfere with each other,
When it is determined that the estimated behavior interferes with each other by the determination unit, for the passerby, a determination unit that determines a recommended action for avoiding the interference of the action,
An output unit that outputs recommended action information indicating the recommended action determined by the determination unit,
With
Information provision system. Further comprising a traffic regulation storage unit for storing the traffic regulation,
The determination unit determines the recommended behavior based on the traffic regulation stored in the traffic regulation storage unit,
The information providing system according to claim 1. The determining unit determines the recommended behavior based on the driving skill of the driver when the plurality of passers-by includes a driver of the vehicle.
The information providing system according to claim 1 or 2. The determination unit determines, for each group of passers-by in the target area, whether the estimated behaviors interfere with each other,
The information providing system according to any one of claims 1 to 3. When the pedestrian in the target area includes a pedestrian, the estimation unit estimates the action of the pedestrian based on information about the action of the pedestrian detected by the pedestrian terminal used by the pedestrian. ,
The information providing system according to any one of claims 1 to 4. An estimation unit that estimates the behavior of a passerby in the target area,
A determination unit that determines whether the behaviors estimated by the estimation unit for a plurality of passers-by interfere with each other,
When it is determined that the estimated behavior interferes with each other by the determination unit, for the passerby, a determination unit that determines a recommended action for avoiding the interference of the action,
A transmission unit that transmits recommended behavior information indicating the recommended behavior determined by the determination unit,
With
server. On the computer,
Estimating the behavior of a passerby in the target area,
Determining whether estimated behaviors for multiple passers-by interfere with each other;
When it is determined that the estimated behaviors interfere with each other, for the passerby, determining a recommended behavior for avoiding the interference of behaviors,
Transmitting recommended behavior information indicating the determined recommended behavior,
To execute
Computer program.

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