WO2023058362A1 - On-board device, vehicle system, server computer, control method, and computer program - Google Patents

On-board device, vehicle system, server computer, control method, and computer program Download PDF

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Publication number
WO2023058362A1
WO2023058362A1 PCT/JP2022/032723 JP2022032723W WO2023058362A1 WO 2023058362 A1 WO2023058362 A1 WO 2023058362A1 JP 2022032723 W JP2022032723 W JP 2022032723W WO 2023058362 A1 WO2023058362 A1 WO 2023058362A1
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Prior art keywords
vehicle
recommended speed
speed
intersection
unit
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PCT/JP2022/032723
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French (fr)
Japanese (ja)
Inventor
晃 諏訪
明紘 小川
Original Assignee
住友電気工業株式会社
株式会社オートネットワーク技術研究所
住友電装株式会社
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Application filed by 住友電気工業株式会社, 株式会社オートネットワーク技術研究所, 住友電装株式会社 filed Critical 住友電気工業株式会社
Priority to JP2023552743A priority Critical patent/JPWO2023058362A1/ja
Publication of WO2023058362A1 publication Critical patent/WO2023058362A1/en

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems

Definitions

  • the present disclosure relates to an in-vehicle device, a vehicle system, a server computer, a control method, and a computer program.
  • This application claims priority based on Japanese application No. 2021-164423 filed on October 6, 2021, and incorporates all the descriptions described in the Japanese application.
  • Various systems have been proposed for assisting drivers of automobiles, motorcycles, etc. (hereinafter referred to as vehicles).
  • TSPS Traffic Signal Prediction Systems
  • signal information is transmitted from the optical beacon, and the ETC 2.0 in-vehicle device and the car navigation system supporting TSPS perform signal passage support, red light deceleration support, and the like.
  • the car navigation system presents a recommended speed for passing through the intersection while the light is green as traffic light passing assistance.
  • red light deceleration support the car navigation system presents a message prompting deceleration as the traffic light ahead turns red.
  • Patent Document 1 discloses a driving support device for solving the problem of predicting signal information when entering an intersection and providing stop support based on vehicle speed, distance to the intersection, and the like. That is, if there is a vehicle waiting at a traffic light, the own vehicle must stop behind the vehicle, which causes a problem in that the timing of the stop warning is shifted. In order to solve this problem, this driving support system stops the following vehicle (i.e., the own vehicle) based on the state quantity of the vehicle that has passed a predetermined point in front of the signal by the roadside device and the state of the traffic light toward which the passing vehicle is heading. Determine position.
  • the following vehicle i.e., the own vehicle
  • Sensor information is collected from roadside devices equipped with various sensor devices (e.g., cameras, radars, etc.) installed on the road and its surroundings, and analyzed to obtain traffic-related information (e.g., accidents, traffic jams, etc.). It has also been proposed to provide such information to vehicles as general driving support information. In addition, with the speeding up of mobile communication lines, information is collected not only from sensors installed in roadside equipment, but also from sensors installed in vehicles, communicated via server computers, or used to communicate between vehicles. It is also proposed to directly communicate with each other and use it effectively for driving support.
  • various sensor devices e.g., cameras, radars, etc.
  • traffic-related information e.g., accidents, traffic jams, etc.
  • a controlling ECU Electronic Control Unit
  • a vehicle capable of automatic operation is equipped with an ECU for automatic operation.
  • the ECU for automatic driving appropriately communicates with the outside and acquires necessary information (for example, road traffic information and dynamic driving support information).
  • necessary information for example, road traffic information and dynamic driving support information.
  • engine control ECU a stop-start control ECU, a transmission control ECU, an airbag control ECU, a power steering control ECU, a hybrid control ECU, and the like.
  • An in-vehicle device is an in-vehicle device mounted on a target vehicle having an automatic driving function, and includes a distance between an intersection located on a travel route of the target vehicle and the target vehicle, and a distance between the target vehicle and the intersection.
  • a recommended speed calculation unit that calculates a recommended speed based on signal information regarding the state of the placed traffic lights, a traffic information generation unit that generates traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection,
  • a determination unit determines whether the recommended speed is appropriate based on traffic information, and an output unit that outputs the recommended speed to the execution unit of the automatic driving function.
  • the output unit is determined by the determination unit that the recommended speed is appropriate. In response, it outputs the recommended speed to the execution unit.
  • a vehicle system is a vehicle system that is mounted on a target vehicle having an automatic driving function, and that provides signal information regarding the state of a traffic light placed at an intersection located on a travel route of the target vehicle. It includes a communication unit that acquires information, an automatic driving function execution unit, and the in-vehicle device described above.
  • a server computer is a server computer that supports driving of a target vehicle having an automatic driving function, and is a signal regarding the state of a traffic light placed at an intersection located on the travel route of the target vehicle.
  • a communication unit that acquires information; a recommended speed calculation unit that calculates a recommended speed based on the distance between the intersection and the target vehicle; a traffic information generating unit for generating traffic information representing traffic conditions on the road from to the intersection; and a determining unit for determining whether the recommended speed is appropriate based on the traffic information.
  • the recommended speed is transmitted to the target vehicle.
  • a control method is a control method for supporting an automatic driving function of a target vehicle, the distance between the target vehicle and an intersection located on the travel route of the target vehicle, A recommended speed calculation step of calculating a recommended speed based on signal information relating to the state of the placed traffic lights; a traffic information generation step of generating traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection; A judgment step for judging whether or not the recommended speed is appropriate based on the traffic information, and an output step for outputting the recommended speed to the execution unit of the automatic driving function. and outputting the recommended speed to the execution unit.
  • a computer program is a computer program installed in a target vehicle, which relates to the distance between the vehicle and an intersection located on the travel route of the target vehicle and the state of the traffic light placed at the intersection.
  • a recommended speed calculation function that calculates a recommended speed based on signal information
  • a traffic information generation function that generates traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection
  • a recommended speed based on the traffic information A computer program for realizing a judgment function that judges the propriety of and an output function that outputs the recommended speed to the execution unit of the automatic driving function, and the output function judges that the recommended speed is appropriate by the judgment function. It includes a function to output the recommended speed to the execution part in response to the fact.
  • FIG. 1 is a schematic diagram showing the configuration of a driving assistance system according to an embodiment of the present disclosure.
  • FIG. 2 is a plan view showing a road including an intersection to which the driving assistance system of FIG. 1 is applied.
  • FIG. 3 is a block diagram showing the hardware configuration of the in-vehicle system shown in FIG. 1.
  • FIG. 4 is a block diagram showing the hardware configuration of the vehicle-mounted gateway shown in FIG.
  • FIG. 5 is a block diagram showing the functional configuration of the in-vehicle gateway shown in FIG. 3.
  • FIG. 6 is a plan view showing a state in which vehicles stagnate at an intersection due to right-turning vehicles.
  • FIG. 7 is a plan view showing a state in which vehicles stagnate between the host vehicle and the intersection.
  • FIG. 8 is a flow chart showing processing related to dynamic map generation and management executed by the in-vehicle gateway.
  • FIG. 9 is a flow chart showing processing executed by the in-vehicle gateway in relation to cooperative control of vehicle travel.
  • FIG. 10 is a plan view showing a different road from FIG. 2 to which the driving assistance system of FIG. 1 is applied.
  • FIG. 11 is a block diagram showing the hardware configuration of an in-vehicle system according to the first modified example.
  • FIG. 12 is a block diagram showing the hardware configuration of the expansion device shown in FIG. 11;
  • FIG. 13 is a schematic diagram showing the configuration of the driving support system according to the second modified example.
  • an object of the present disclosure is to provide an in-vehicle device, a vehicle system, a server computer, a control method, and a computer program that can suppress unnecessary acceleration in a vehicle having an automatic driving function.
  • An in-vehicle device is an in-vehicle device that is mounted on a target vehicle having an automatic driving function, and is located on a travel route of the target vehicle and an intersection between the target vehicle and A recommended speed calculation unit that calculates a recommended speed based on the distance and signal information regarding the state of the traffic lights placed at the intersection, and a traffic information that generates traffic information that represents the traffic conditions on the road from the position of the target vehicle to the intersection.
  • An information generation unit a determination unit that determines whether the recommended speed is appropriate based on traffic information, and an output unit that outputs the recommended speed to the execution unit of the automatic driving function. In response to the determination that it is appropriate, the recommended speed is output to the execution unit.
  • the in-vehicle device is not limited to one that is installed as a standard device in a target vehicle having an automatic driving function, but also includes devices that can be installed later as expansion devices.
  • Autonomous driving preferably includes all levels above Level 1 (that is, driving assistance), which will be described later.
  • the output unit can output the signal information to the execution unit in addition to the recommended speed in response to the determination by the determination unit that the recommended speed is appropriate.
  • Coordinated control means controlling the running of a vehicle by reflecting information (for example, signal information, sensor data, dynamic information, etc.) provided from traffic lights, infrastructure sensors, other vehicles, and the like.
  • the traffic light information may include information on a specific traffic light that controls traffic in the direction in which the target vehicle enters the intersection, and the recommended speed calculation unit calculates the distance.
  • the recommended speed may be calculated by dividing by the remaining green time of the specific traffic light. With this, it is possible to easily calculate a provisional recommended speed for which suitability is determined by the determination unit.
  • the recommended speed calculation unit may calculate the recommended speed in response to the fact that the remaining time of the blue color of the specific traffic light is equal to or longer than a predetermined time. This makes it possible to avoid calculating a recommended speed that is highly likely to be determined to be inappropriate, thereby reducing the processing load.
  • the traffic information may be a representative speed of a vehicle traveling between the target vehicle and the intersection
  • the determining unit may A difference between the speed and the recommended speed may be calculated, and whether or not the recommended speed is appropriate may be determined based on the difference. This makes it possible to accurately determine whether the recommended speed is appropriate.
  • the difference may be a difference calculated by subtracting the recommended speed from the representative speed. is appropriate, and if the difference is less than a predetermined value, it may be determined that the recommended speed is not appropriate. This makes it possible to more accurately determine whether the recommended speed is appropriate.
  • the representative speed is the average speed or minimum speed of a plurality of vehicles traveling in the same direction as the target vehicle between the target vehicle and the intersection. Among them, the speed of the vehicle closest to the intersection or the speed of the vehicle closest to the target vehicle among a plurality of vehicles may be used. As a result, an appropriate representative speed can be determined, and appropriateness of the recommended speed can be appropriately determined.
  • the determining unit is traveling in the same direction as the target vehicle between the target vehicle and the intersection based on the dynamic information about the intersection and the intersection.
  • the estimated speed after a predetermined time may be calculated, and the representative speed is the average value or minimum value of the plurality of estimated speeds, the estimated speed of the vehicle closest to the intersection among the plurality of vehicles, Alternatively, it may be the estimated speed of the vehicle closest to the target vehicle among a plurality of vehicles. This makes it possible to determine a more appropriate representative speed and more appropriately determine whether the recommended speed is appropriate.
  • the in-vehicle device may further include a recommended speed correction unit that corrects the recommended speed based on the determination result of the determination unit; may output the recommended speed corrected by the recommended speed correction unit to the execution unit in response to the fact that the determination unit has determined that the recommended speed is not appropriate. As a result, appropriate automatic driving can be realized.
  • the recommended speed correction unit may maintain the recommended speed in response to the determination by the determination unit that the recommended speed is appropriate, and the determination unit determines that the recommended speed is appropriate.
  • the recommended speed may be corrected to a smaller value in response to the determination that it is not. As a result, more appropriate automatic driving can be realized.
  • a vehicle system is a vehicle system mounted on a target vehicle having an automatic driving function, and the state of a traffic signal placed at an intersection located on the travel route of the target vehicle.
  • a communication unit that acquires signal information regarding, an execution unit for an automatic driving function, and any one of the in-vehicle devices of (1) to (10) above.
  • a server computer is a server computer that supports driving of a target vehicle having an automatic driving function, and is a signal installed at an intersection located on the travel route of the target vehicle.
  • a communication unit that acquires signal information regarding the state, a recommended speed calculation unit that calculates a recommended speed based on the distance between the intersection and the vehicle, and signal information regarding the state of the traffic light placed at the intersection, and the target vehicle.
  • a traffic information generation unit that generates traffic information representing traffic conditions on the road from the position of to the intersection; and a determination unit that determines whether the recommended speed is appropriate based on the traffic information. After it is determined that the recommended speed is appropriate, the recommended speed is transmitted to the target vehicle.
  • the recommended speed is transmitted to the target vehicle.
  • a control method is a control method for supporting an automatic driving function of a target vehicle, and the distance between the target vehicle and an intersection located on the travel route of the target vehicle , a recommended speed calculation step of calculating a recommended speed based on signal information regarding the state of the traffic signal placed at the intersection, and a traffic information generation step of generating traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection.
  • the step of outputting the recommended speed to the execution unit is included in response to the determination that there is.
  • a vehicle computer program stores, in a computer mounted on a target vehicle, a distance between an intersection located on a travel route of the target vehicle and the target vehicle, and a position at the intersection.
  • a recommended speed calculation function that calculates a recommended speed based on traffic signal information related to the state of the traffic light, a traffic information generation function that generates traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection, and traffic information and an output function for outputting the recommended speed to the execution unit of the automatic driving function, wherein the output function is the recommended speed by the determination function It includes a function of outputting the recommended speed to the execution unit in response to the fact that the speed is determined to be appropriate.
  • a driving assistance system 100 includes an in-vehicle system 104a and an in-vehicle system 104b installed in a plurality of vehicles 102a and 102b, respectively.
  • In-vehicle system 104a and in-vehicle system 104b can communicate with each other. Communication between the in-vehicle system 104 a and the in-vehicle system 104 b may be communication via the base station 108 or direct communication without the base station 108 . Thereby, as will be described later, each of the vehicle 102a and the vehicle 102b can perform coordinated control of the running of the own vehicle.
  • the base station 108 provides mobile communication services through, for example, 4G (ie, fourth generation mobile communication system) lines and 5G (ie, fifth generation mobile communication system) lines.
  • the in-vehicle system 104a and the in-vehicle system 104b also have a function of communicating directly with each other without going through the base station 108 (for example, V2V (Vehicle to Vehicle)).
  • a wireless LAN Local Area Network
  • a wireless LAN Local Area Network
  • the infrastructure sensor 110 and the road traffic signal 106 fixedly installed on the road (including intersections) and its surroundings (hereinafter also referred to as roadside) can also communicate with the in-vehicle system 104a and the in-vehicle system 104b.
  • Pedestrian 900 , vehicle 102 a and vehicle 102 b are detection targets of infrastructure sensor 110 .
  • Pedestrian 900 is also a detection target of sensors mounted on vehicles 102a and 102b.
  • the infrastructure sensor 110 is installed on the roadside, is a device equipped with a function of acquiring roadside information, and has a communication function with the base station 108 .
  • the infrastructure sensor 110 is, for example, an image sensor (such as a digital surveillance camera), a radar (such as a millimeter wave radar), or a laser sensor (such as LiDAR (Light Detection And Ranging)).
  • the infrastructure sensor 110 may be equipped with or connected to a roadside device having a computing function.
  • the sensor data acquired by the sensors mounted on each of the vehicles 102a and 102b are analyzed by the in-vehicle system 104a and the in-vehicle system 104b, and the analysis results are stored as dynamic information.
  • Dynamic information is used in self-driving functions of the ego vehicle.
  • Autonomous driving is classified into Level 1 to Level 5 according to the driving subject (ie, human or system) and the driving area (ie, limited or unrestricted).
  • Automated driving for which dynamic information can be used is not limited to level 4 or higher fully automated driving (i.e., the system is the main driving force without a human being driving), as well as level 1 and It is preferable to include Level 2 as well as Conditional Autonomous Driving (ie Level 3).
  • automated driving for which dynamic information can be used may be any of level 1 to level 5 automated driving, or any of level 1 to level 5 automated driving.
  • dynamic information may be communicated back and forth between in-vehicle system 104a and in-vehicle system 104b as described above.
  • in-vehicle system 104a and in-vehicle system 104b communicate with each other information about the vehicle in which each is installed (eg, vehicle position, vehicle speed, direction of travel, etc.).
  • dynamic information Information about dynamic objects detected by sensors (hereinafter referred to as dynamic information) is used to generate dynamic maps.
  • a “dynamic map” is a map in which dynamic information is associated with a static map (for example, a road map, etc.).
  • a dynamic map ⁇ information specifying a dynamic object, dynamic information, information specifying an area on the map ⁇ is set as one data set, and a data structure is adopted that includes data sets as many as the number of dynamic objects. can.
  • the dynamic map for use in automatic driving of the own vehicle may be related to a predetermined area including the travel route of the own vehicle (that is, the road on which the vehicle is scheduled to travel). Dynamic information contained in the predetermined area is used for coordinated control of travel of the host vehicle.
  • Dynamic objects are not limited to moving objects (that is, people, vehicles, etc.), but also include stationary objects that have the ability to move.
  • the dynamic information includes information about the displacement of the dynamic object (that is, the position, the magnitude and direction of the change), and is composed of, for example, position, moving speed, moving direction and time information for each dynamic object.
  • Dynamic information may also include forecast information. For example, if the in-vehicle system 104a and the in-vehicle system 104b have a prediction function, using the movement trajectory, movement speed, and movement direction of the dynamic object up to the present, future (for example, within a predetermined time from the present) Movement trajectory, movement speed and movement direction can be predicted. Therefore, they may be included in the dynamic information.
  • the time information includes, for example, the generation time of the dynamic information and the expiration date. The validity period represents the upper limit of time that the dynamic information can be effectively used after it is generated.
  • An area on the map is, for example, each area (hereinafter referred to as a grid area) that divides the road map into a grid.
  • the dynamic map stores the dynamic information contained in each grid area corresponding to the grid area.
  • a dynamic map is updated from time to time with new data.
  • FIG. 1 exemplarily shows one base station 108, one infrastructure sensor 110, one traffic light 106, and two vehicles 102a and 102b equipped with an in-vehicle system.
  • a plurality of base stations are provided, and an in-vehicle system is installed in three or more vehicles.
  • vehicles 102a to 102d are traveling toward an intersection 910.
  • traffic lights 106a to 106f and an infrastructure sensor 110 are arranged. etc.
  • the traffic signals 106a to 106d, etc. are traffic signals for vehicles
  • the traffic signals 106e, 106f, etc. are traffic signals for pedestrians.
  • the vehicles shown in FIG. 2 may include vehicles that do not have an in-vehicle system.
  • FIG. 3 an example of the hardware configuration of the in-vehicle system 104a mounted on the vehicle 102a is shown.
  • An in-vehicle system 104b mounted on the vehicle 102b is similarly configured.
  • the in-vehicle system 104 a includes a communication unit 120 , an in-vehicle gateway 122 , a sensor 124 , an automatic driving ECU 126 , an ECU 128 , and a bus 130 and a bus 132 .
  • the in-vehicle system 104a includes a plurality of ECUs in addition to the automatic driving ECU 126, and FIG. 3 shows the ECU 128 as a representative of them.
  • the communication unit 120 performs wireless communication with an external device of the vehicle 102a (for example, communication with the in-vehicle system 104b via the base station 108).
  • the communication unit 120 includes an IC for modulation and multiplexing employed in wireless communication, an antenna for transmitting and receiving radio waves of a predetermined frequency, an RF circuit, and the like.
  • the communication unit 120 also has a function of communicating with GNSS (Global Navigation Satellite System) such as GPS (Global Positioning System).
  • GNSS Global Navigation Satellite System
  • GPS Global Positioning System
  • the communication unit 120 may also have a communication function such as a wireless LAN.
  • the in-vehicle gateway 122 which is an in-vehicle device, plays a role (that is, communication protocol conversion, etc.) that connects the communication function (that is, communication specification) with the outside of the vehicle and the communication function (that is, communication specification) inside the vehicle.
  • the automatic driving ECU 126 can communicate with external devices via the in-vehicle gateway 122 and the communication unit 120 .
  • the in-vehicle gateway 122 acquires dynamic information and data used for its generation (e.g., sensor data, sensor data analysis results, etc.) among the information received from the outside via the communication unit 120, and, as described later, Generate and update dynamic maps.
  • the updated dynamic map (ie dynamic information) is transmitted to the autonomous driving ECU 126 . Data exchange between units occurs via bus 130 and bus 132 .
  • the sensor 124 is mounted on the vehicle 102a and is a sensor for acquiring information outside the vehicle 102a (for example, a video imaging device (for example, a digital camera (for example, a CCD camera, a CMOS camera)), a laser sensor (for example, LiDAR). etc.), and sensors for obtaining information on the vehicle itself (for example, an acceleration sensor, a load sensor, etc.).
  • the sensor 124 acquires information within a detection range (for example, an imaging range in the case of a camera) and outputs it as sensor data.
  • a digital camera outputs digital image data.
  • a detection signal (that is, an analog or digital signal) of the sensor 124 is output as digital data to the bus 132 via an I/F unit (not shown) and transmitted to the vehicle-mounted gateway 122, the automatic driving ECU 126, and the like.
  • the automatic driving ECU 126 controls automatic driving of the vehicle 102a.
  • the automatic driving ECU 126 acquires sensor data, analyzes it to grasp the situation around the vehicle, and controls mechanisms related to automatic driving (for example, mechanisms such as the engine, transmission, steering, brakes, etc.).
  • the automatic driving ECU 126 uses the dynamic information (that is, dynamic map) acquired from the in-vehicle gateway 122 for automatic driving.
  • the dynamic information of the vehicle 102a is transmitted to the in-vehicle systems of other vehicles, such as the in-vehicle system 104b of the vehicle 102b.
  • the in-vehicle gateway 122 generates packet data including dynamic information, and transmits it from the communication unit 120 to the in-vehicle system 104b via the base station 108.
  • FIG. Sensor data may also be transmitted to the in-vehicle system 104b of the vehicle 102b.
  • the in-vehicle system 104b can use the received data for automatic driving of the vehicle 102b. That is, each of the in-vehicle system 104a and the in-vehicle system 104b can implement cooperative control of the running of the own vehicle.
  • in-vehicle gateway 122 includes control unit 140 and memory 142 .
  • the control unit 140 includes a CPU (Central Processing Unit) and controls the memory 142 .
  • the memory 142 is, for example, a rewritable non-volatile semiconductor memory, and stores computer programs (hereinafter simply referred to as programs) executed by the control unit 140 .
  • Memory 142 provides a work area for programs executed by control unit 140 .
  • the control unit 140 acquires data to be processed via the buses 130 and 132 , stores the processing results in the memory 142 , and outputs them to the buses 130 and 132 .
  • the in-vehicle gateway 122 includes a storage unit 200, a dynamic information generation unit 202, a dynamic map generation unit 204, a traffic information generation unit 206, a recommended speed calculation unit 208, a determination unit 210, a recommended speed correction unit 212, and an output unit 214.
  • Storage unit 200 stores data received by communication unit 120 and input via bus 130 and sensor data of sensor 124 input via bus 132 .
  • a road map is stored in the storage unit 200 .
  • the data input via the bus 130 includes signal information, other vehicle information (for example, position information, speed information, traveling direction), dynamic information, sensor data, and the like.
  • Storage unit 200 is realized by memory 142 in FIG. Other functions, which will be described later, are implemented by the control unit 140 .
  • the dynamic information generation unit 202 reads sensor data from the storage unit 200 and generates dynamic information.
  • the dynamic information generation unit 202 stores the generated dynamic information in the storage unit 200 .
  • the dynamic map generation unit 204 generates information on other vehicles and dynamic information read from the storage unit 200, the position information of the own vehicle (that is, GPS data) received from the communication unit 120, and the driving force for running the own vehicle.
  • the dynamic map is updated using the speed information acquired from the unit (that is, the control target of the automatic driving ECU 126).
  • the updated dynamic map is stored in storage unit 200 .
  • the traffic information generation unit 206 reads the dynamic map from the storage unit 200 and generates information representing traffic conditions (hereinafter referred to as traffic information) used to determine whether cooperation is possible, which will be described later.
  • the traffic information generation unit 206 outputs the generated traffic information to the determination unit 210 and the recommended speed correction unit 212 .
  • Traffic information is, for example, information representing the traffic conditions (for example, the state of dynamic objects) from the current position of the vehicle to an intersection (for example, the nearest intersection) located on the travel route of the vehicle. .
  • the traffic information includes a plurality of vehicles (i.e., vehicle group 114) traveling between vehicle 102a (i.e., the host vehicle) and intersection 910 (including intersection 910), and pedestrians 900a and pedestrians. It includes information about the state of the person 900b, etc. (for example, attributes, position, speed, direction of travel, etc.).
  • Information on the representative speed Vg of one or more vehicles (hereinafter referred to as a group of vehicles) located between the vehicle 102a and the intersection 910 can be used as the traffic information.
  • the representative speed is used to determine whether the recommended speed is appropriate, which will be described later.
  • the representative speed is, for example, the average or minimum speed of the fleet of vehicles 114 (ie, vehicle 102b, vehicle 102c, and vehicle 102d).
  • the representative speed may be the speed of the vehicle 102b closest to the intersection 910 among the vehicles in the vehicle group, or the speed of the vehicle 102d closest to the host vehicle 102a among the vehicles in the vehicle group 114 .
  • an appropriate representative speed can be determined, and appropriateness of a recommended speed, which will be described later, can be appropriately determined.
  • the traffic information generation unit 206 drives the vehicle between the vehicle and the intersection in the same direction as the vehicle based on the dynamic information (for example, the position and moving speed of the dynamic object) at the intersection and around the intersection.
  • An estimated speed after a predetermined time (for example, t seconds) may be estimated for each of a plurality of vehicles that are connected to each other, and a representative speed may be determined from the estimated speed. For example, an average value or minimum value of a plurality of estimated speeds can be used as the representative speed.
  • the representative speed the estimated speed of the vehicle closest to the intersection among the plurality of vehicles or the estimated speed of the vehicle closest to the own vehicle among the plurality of vehicles may be used. This makes it possible to determine a more appropriate representative speed and more appropriately determine whether the recommended speed is appropriate.
  • the representative speed is the legal speed of the road on which the vehicle 102a is traveling.
  • the legal speed of each road should be stored in the memory 142 in association with the road map.
  • a value obtained by estimating the legal speed based on the width of the road, the number of lanes, etc. may be used as the representative speed.
  • the recommended speed calculation unit 208 calculates the speed at which the vehicle should travel (hereinafter referred to as the recommended speed) in order to pass through an intersection located on the travel route of the vehicle while the traffic light is currently green. ) is calculated. Specifically, the recommended speed calculation unit 208 uses the current position of the vehicle acquired from the control unit 160 and the map information read from the storage unit 200 to calculate the distance L ( 2) is calculated. Note that the distance L means the distance along the road. The distance L is not limited to the distance from the vehicle to the center of the intersection, but may be the distance from the vehicle to the vicinity of the intersection (for example, the position of the stop line).
  • the recommended speed calculation unit 208 reads from the storage unit 200 the signal information of a traffic signal (hereinafter referred to as a specific signal) that controls traffic in the direction in which the vehicle enters the intersection, among the traffic signals placed at the intersection. If so, the remaining time ⁇ t is acquired. For example, in FIG. 2, for vehicle 102a, traffic light 106a is the specific traffic light.
  • Recommended speed calculation unit 208 outputs the calculated recommended speed Vr to determination unit 210 and recommended speed correction unit 212 .
  • the recommended speed output from the recommended speed calculator 208 can be said to be a provisional recommended speed.
  • the recommended speed output from the recommended speed calculator 208 can be said to be a provisional recommended speed.
  • Traffic light information includes, for example, traffic light position information, cycle, split, current color, and elapsed time of the current color.
  • a cycle represents the time (eg, in seconds) that the traffic light cycles through green, yellow, and red.
  • a split represents the time allocation (eg, in percent) assigned to each occurrence (ie, the time period during which each intersecting traffic flow is granted the right-of-way) during a cycle. For example, with respect to orthogonal first and second roads, for a traffic signal controlling traffic on the first road with the higher traffic volume and a traffic signal controlling traffic on the second road with the lower traffic volume, for example, 60 % and 40% splits are set.
  • the duration of the green color for each traffic light can be calculated by multiplying the cycles and splits.
  • the determination unit 210 determines whether or not the recommended speed input from the recommended speed calculation unit 208 is appropriate. As will be described later, this determination result determines whether or not cooperative control is possible in automatic driving, so this determination can also be said to be a determination of whether or not cooperation is possible. Based on the traffic information input from the traffic information generation unit 206, the determination unit 210 determines whether the recommended speed Vr input from the recommended speed calculation unit 208 is appropriate. When the representative speed is input as traffic information from the traffic information generator 206, the determination unit 210 subtracts the recommended speed Vr from the representative speed Vg to calculate the difference ⁇ V, and determines whether the recommended speed is appropriate based on the difference ⁇ V. judge.
  • the speed of the vehicle group traveling in front of the host vehicle is greater than the recommended speed by a predetermined value or more ( (i.e., fast) can be expected. Therefore, if the current speed of the host vehicle is lower than the recommended speed, it can be determined that acceleration to the recommended speed will not cause any problems, and determination unit 210 determines that the recommended speed is appropriate (that is, cooperation is possible).
  • determination unit 210 determines that the recommended speed is not appropriate.
  • the determination section 210 outputs the determination result to the recommended speed correction section 212 and the output section 214 .
  • the determination result is, for example, 1-bit information indicating suitability (for example, "1" is appropriate, "0" is inappropriate).
  • the difference ⁇ V obtained by subtracting the recommended speed Vr from the representative speed Vg is used, but the difference obtained by subtracting the representative speed Vg from the recommended speed Vr (that is, - ⁇ V) may be used.
  • the adequacy of the recommended speed can be judged in the same manner as described above, considering that the sign (ie, positive or negative) of the difference (ie, - ⁇ V) is opposite to the sign of ⁇ V.
  • a representative speed may be determined by two or more methods, and a combination thereof may be used to determine whether the recommended speed is suitable (that is, whether cooperation is possible).
  • the traffic information may be dynamic information about a dynamic object that affects the vehicle's travel to the intersection (including passage through the intersection).
  • the recommended speed correction unit 212 corrects the recommended speed input from the recommended speed calculation unit 208 to an appropriate value or maintains the recommended speed. If the determination result is 1 (that is, appropriate), the recommended speed correction unit 212 outputs the recommended speed input from the recommended speed calculation unit 208 to the output unit 214 as it is. On the other hand, if the determination result is 0 (that is, inappropriate), the recommended speed correction unit 212 considers the traffic information (for example, the representative speed) input from the traffic information generation unit 206, and The corrected recommended speed is corrected to an appropriate value, and the corrected recommended speed is output to the output unit 214 .
  • the traffic information for example, the representative speed
  • the recommended speed correction unit 212 sets a new recommended speed to a value between the current speed of the host vehicle and the representative speed. For example, if the current speed of the host vehicle is lower than the representative speed, the vehicle can be accelerated to the representative speed. That is, the current speed is set as the new recommended speed. If the current speed of the own vehicle is equal to or higher than the representative speed, for example, a value smaller than the current speed (for example, the representative speed) is set as the new recommended speed. The own vehicle can thereby be decelerated. Therefore, useless acceleration can be efficiently suppressed, and appropriate automatic driving can be realized.
  • the output unit 214 outputs the recommended speed input from the recommended speed correction unit 212 to the automatic driving ECU via the bus 132 .
  • the output unit 214 also acquires the signal information of the traffic lights arranged at the intersection from the storage unit 200 based on the determination result input from the determination unit 210, and outputs the signal information to the automatic driving ECU via the bus 132. That is, the output unit 214 outputs the signal information to the automatic driving ECU if the determination result is 1 (that is, appropriate).
  • the output unit 214 does not output the signal information to the automatic driving ECU. In this case, there is a high possibility that the own vehicle will stop before the intersection, so the signal information of the intersection is unnecessary. Thereby, the load on the automatic driving ECU 126 can be reduced. Note that the output unit 214 outputs dynamic information acquired from other vehicles traveling in front of the own vehicle to the automatic driving ECU regardless of the determination result input from the determination unit 210 .
  • the recommended speed is appropriate, the recommended speed is output to the automatic driving ECU, and the vehicle is likely to be able to pass the intersection while the specific traffic light is currently in blue, for example by accelerating. .
  • signal information and dynamic information are provided to the automatic driving ECU, and cooperative control in automatic driving is executed.
  • the autonomous driving ECU uses dynamic information about the ego-vehicle's surroundings while the e-vehicle reaches and navigates the intersection to enable safe and appropriate driving.
  • the recommended speed is inappropriate, there is a high possibility that the intersection cannot be passed while the specific traffic light is currently green. Useless acceleration due to provision of an appropriate recommended speed is suppressed.
  • the recommended speed is calculated. If the traffic conditions shown in FIG. 6 or FIG. 7 are present at the point in time, the calculated recommended speed is not appropriate.
  • the vehicle 102b about to turn right has stopped because of the oncoming vehicle 102e and the pedestrian 900a, and the following three vehicles have also stopped. Under such traffic conditions, the vehicle 102a is likely to stop before the intersection 910.
  • FIG. 10 Further, in FIG.
  • the traffic condition is smooth at the intersection 910, and the vehicle 102b, which is the leading vehicle of the vehicle group, can run without any trouble.
  • a large vehicle 102f for example, a bus
  • an oncoming vehicle such as the vehicle 102g is also running, so the following vehicle of the vehicle 102f is stopped.
  • the vehicle 102a is likely to stop behind the vehicle 102f.
  • the in-vehicle gateway 122 of the vehicle 102a functions as described above, so that the vehicle 102a can suppress unnecessary acceleration and maintain the current speed or decelerate.
  • the determination unit 210 preferably considers the legal speed of the road on which the vehicle is traveling when determining whether the recommended speed is appropriate. Since it is not preferable to set a speed exceeding the legal speed as the recommended speed, the determination unit 210 determines that the recommended speed meets the above-described conditions (i.e., the difference ⁇ V obtained by subtracting the recommended speed Vr from the representative speed Vg is 0 or more). a predetermined value or more), it is determined to be inappropriate. Most of the vehicles in the vehicle group can be expected to travel at legal speeds (i.e., representative speed ⁇ legal speed). It can also be said.
  • the recommended speed correction unit 212 may be omitted.
  • the recommended speed output from the recommended speed calculation unit 208 is also input to the output unit 214 .
  • the output unit 214 outputs the determination result input from the determination unit 210 to the automatic driving ECU, and only when the determination result is 1 (that is, appropriate), the recommended speed input from the recommended speed calculation unit 208 is used for automatic driving. Output to ECU. That is, if the determination result is 0 (that is, inappropriate), the recommended speed input from the recommended speed calculation unit 208 is discarded without being output to the automatic driving ECU. In this case as well, only appropriate recommended speeds are provided, so unnecessary acceleration due to provision of inappropriate recommended speeds can be suppressed.
  • control unit 140 stores data received by communication unit 120 in memory 142.
  • the received data includes sensor data transmitted from infrastructure sensors 110 and other vehicles 102 b , dynamic information, and signal information transmitted from traffic lights 106 .
  • control unit 140 determines whether or not it is time to update the dynamic map. If it is determined that it is time to update, control proceeds to step 304 . Otherwise control passes to step 308 .
  • control unit 140 updates the dynamic map stored in the memory 142 using the dynamic information. This corresponds to the function of the dynamic map generator 204 (see FIG. 5) described above. Control then passes to step 306 .
  • control unit 140 analyzes the dynamic map, generates traffic information used for judging whether cooperation is possible, and stores it in the memory 142 . This corresponds to the function of the traffic information generator 206 (see FIG. 5) described above. As described above, the determination of whether cooperation is possible is made by determining whether the recommended speed is appropriate. Control then passes to step 308 .
  • control unit 140 determines whether or not an end instruction has been received. If it is determined that an end instruction has been received, this program ends. Otherwise, control returns to step 300 and the above process is repeated.
  • the end instruction is made, for example, by turning off a power supply mounted on the vehicle 102a.
  • control unit 140 determines whether signal information has been received by communication unit 120 or not.
  • the communication unit 120 receives signal information via the base station 108 of FIG. 1 or directly from the traffic light 106 (for example, by optical beacon, wireless LAN, etc.). If it is determined that signaling information has been received, control proceeds to step 402 . Otherwise control passes to step 416 .
  • the specific traffic light eg, the traffic light 106a in FIG. 2
  • the controller 140 sets the recommended speed is calculated. Otherwise (that is, when the specific traffic light is red or yellow), it is determined that the recommended speed is not calculated.
  • a specific traffic light can be identified from the location information of the traffic light and the road map. If it is determined to calculate the recommended speed, control proceeds to step 404 . Otherwise control passes to step 418 .
  • the recommended speed is calculated when the remaining blue time of the specific traffic light is equal to or longer than a predetermined time (for example, 5 seconds). If the remaining blue time is short, it will turn yellow or red quickly, so calculating the recommended speed is useless. This is preferable because it is possible to avoid calculating a recommended speed that is determined to be inappropriate, and to reduce the processing load.
  • the recommended speed may be calculated using the total time of the remaining blue time and the subsequent yellow time.
  • the control unit 140 calculates the remaining blue time ⁇ t of the specific traffic light. For example, from the signal information received in step 400, the control unit 140 uses the duration of blue color and the elapsed time of the current color (e.g., the elapsed time of blue) for the specific traffic light to determine the remaining time for which blue is maintained. calculate.
  • the blue duration can be calculated from cycles and splits as described above. Control then passes to step 406 .
  • control unit 140 calculates the distance from the current position of the vehicle to the intersection 910 . Specifically, the map information is read from the memory 142 and the corresponding distance L is calculated. Control then passes to step 408 .
  • control unit 140 divides the distance L calculated at step 406 by the remaining time ⁇ t calculated at step 404 to calculate the recommended speed Vr. Control then passes to step 410 .
  • the processing from step 404 to step 408 corresponds to the function of the recommended speed calculator 208 (see FIG. 5) described above.
  • the processes of step 410 and step 412 described later correspond to the function of the determination unit 210 (see FIG. 5) described above.
  • the control unit 140 determines whether or not the recommended speed Vr calculated at step 408 is appropriate based on the difference ⁇ V calculated at step 410. For example, if the difference ⁇ V is greater than or equal to a predetermined value, the control unit 140 determines that the recommended speed Vr is appropriate (that is, cooperation is possible). On the other hand, if difference ⁇ V is smaller than the predetermined value, control unit 140 determines that recommended speed Vr is not appropriate. If recommended speed Vr is determined to be appropriate, control proceeds to step 414 . Otherwise control passes to step 418 .
  • the control unit 140 outputs the recommended speed Vr calculated at step 408 to the automatic driving ECU 126 via the bus 132 . Moreover, the control part 140 outputs signal information to automatic operation ECU126. Control then passes to step 416 . Thereby, the automatic driving ECU 126 automatically controls the running of the vehicle 102a using the recommended speed and signal information.
  • control unit 140 determines whether or not an end instruction has been received. If it is determined that an end instruction has been received, this program ends. Otherwise, control returns to step 400 and the above process is repeated.
  • the end instruction is made, for example, by turning off a power supply mounted on the vehicle 102a.
  • step 418 the control unit 140 determines whether the current speed of the host vehicle is equal to or less than the representative speed. If it is determined that the current speed of the host vehicle is equal to or less than the representative speed, control proceeds to step 420 . Otherwise control passes to step 422 .
  • the control unit 140 sets the current speed of the own vehicle as the recommended speed. As a result, even if the recommended speed has been calculated in step 408, the recommended speed is replaced with the current speed of the host vehicle. This is to prevent unnecessary acceleration of the vehicle 102a because the vehicle 102a cannot pass the intersection 910 and is likely to stop before the intersection 910 while the traffic light 106a is currently green. Control then passes to step 424 .
  • the control unit 140 sets a value smaller than the current speed of the host vehicle (hereinafter referred to as deceleration speed) as the recommended speed.
  • deceleration speed the current speed of the host vehicle
  • the recommended speed is replaced with the deceleration speed. This is to prevent unnecessary acceleration of the vehicle 102a because there is a high possibility that the vehicle 102a will stop before the intersection 910 as in the above. This is also to decelerate in advance, as it is faster than the speed of the vehicle group.
  • Control then passes to step 424 .
  • the processing from step 418 to step 422 corresponds to the function of the recommended speed correction unit 212 (see FIG. 5) described above.
  • the control unit 140 outputs the recommended speed determined at step 420 or step 422 to the automatic driving ECU 126 via the bus 132 . Control then passes to step 416 . Thereby, the automatic driving ECU 126 automatically controls the running of the vehicle 102a using the recommended speed. As a result, the vehicle 102a can stop before the intersection 910 without unnecessary acceleration.
  • Step 414 allows, for example, vehicle 102a to accelerate to the recommended speed and pass intersection 910 while traffic light 106a is currently green.
  • signal information is provided to the automatic driving ECU, and cooperative control in automatic driving is executed.
  • the dynamic information is provided to the autonomous driving ECU, the dynamic information about the vehicle's surroundings is used while the vehicle reaches and travels through the intersection to ensure safe and appropriate driving. be possible.
  • step 420 or step 422 sets the recommended speed to the current speed or deceleration speed. , useless acceleration is suppressed.
  • Figures 2, 6 and 7 show traffic conditions at an intersection 910 where roads with one lane each way intersect, but are not limited to this.
  • the driving support system 100 can cope with traffic conditions at an intersection 912 where roads with two or more lanes on each side intersect.
  • the representative speed of the vehicle group 116 positioned between the own vehicle and the intersection 912 is used to determine whether the recommended speed is appropriate. Just do it.
  • a plurality of vehicles in the vehicle group 116 that are traveling in the lane in which the host vehicle is traveling may be regarded as a vehicle group, and their representative speeds may be used to determine whether the recommended speed is appropriate.
  • the vehicle of the vehicle group 116 may travel in the lane in which it is scheduled to travel. It is sufficient to determine whether or not the recommended speed is appropriate using the representative speed of a group of vehicles that are in the same vehicle.
  • an in-vehicle system 150 installed in a vehicle includes a communication unit 120, an in-vehicle gateway 154, a sensor 124, an automatic driving ECU 126, an ECU 128, and a bus 130 and a bus 132.
  • the in-vehicle system 150 is equipped with an extension device 152 that is not standard equipment but is attached later.
  • constituent elements with the same reference numerals as in FIG. 3 have the same functions as in FIG. In the following, different components, the expansion device 152 and the in-vehicle gateway 154 will be described.
  • expansion device 152 includes control unit 160 and memory 162 .
  • the control unit 160 includes a CPU and controls the memory 162 .
  • the memory 162 is, for example, a rewritable non-volatile semiconductor memory, and stores programs executed by the control unit 160 .
  • Memory 162 provides a work area for programs executed by control unit 160 .
  • the control unit 160 acquires data to be processed via the bus 130, stores the processing results in the memory 162, and outputs them to the bus 130 as appropriate.
  • the expansion device 152 has the same functions as the in-vehicle gateway 122 shown in FIG. 3, namely the functions shown in FIG.
  • the expansion device 152 transmits data received by the communication unit 120 (e.g., signal information, information on own vehicle and other vehicles (e.g., position, speed, direction of travel), dynamic information, sensor data, etc.) to the bus 130.
  • data received by the communication unit 120 e.g., signal information, information on own vehicle and other vehicles (e.g., position, speed, direction of travel), dynamic information, sensor data, etc.
  • In-vehicle gateway 154 transmits sensor data output from sensor 124 to bus 132 to expansion device 152 via bus 130 .
  • the in-vehicle gateway 154 acquires the speed of the vehicle from the driving unit for driving the vehicle, and transmits it to the expansion device 152 via the bus 130 .
  • In-vehicle gateway 154 also transmits data output from expansion device 152 to bus 130 to automatic driving ECU 126 via bus 132 .
  • the expansion device 152 can calculate the recommended speed of the vehicle in which the in-vehicle system 150 is mounted, determine whether it is appropriate, and transmit the recommended speed to the automatic driving ECU 126 as it is if it is appropriate. In that case, the expansion device 152 also transmits signal information and dynamic information to the autonomous driving ECU 126 . If the recommended speed is inappropriate, the expansion device 152 corrects the recommended speed to a smaller value (for example, a value between the current speed and the representative speed) and transmits it to the automatic driving ECU 126 .
  • a smaller value for example, a value between the current speed and the representative speed
  • the recommended speed is appropriate, the recommended speed will be output to the autonomous driving ECU, and there is a high possibility that the vehicle will be able to pass the intersection while the specific traffic light is currently green, for example by accelerating.
  • signal information and dynamic information are provided to the automatic driving ECU, and cooperative control in automatic driving is executed.
  • the autonomous driving ECU uses dynamic information about the ego-vehicle's surroundings while the e-vehicle reaches and navigates the intersection to enable safe and appropriate driving.
  • the recommended speed is set to a value between the current speed and the representative speed. , unnecessary acceleration due to provision of an inappropriate recommended speed is suppressed.
  • a server computer calculates the recommended speed of the vehicle and executes the process of judging its propriety.
  • a driving support system 170 includes an in-vehicle system 104 a and an in-vehicle system 104 b installed in a plurality of vehicles 102 a and 102 b, respectively, and a server 172 .
  • a driving support system 170 is obtained by adding a server 172 to the driving support system 100 shown in FIG.
  • Components other than the server 172 shown in FIG. 13 are the same as in FIG.
  • the in-vehicle system 104a and the in-vehicle system 104b may not have the functions shown in FIG.
  • the server 172 includes a control unit, memory and communication unit, and implements the functions shown in FIG.
  • Server 172 communicates with in-vehicle system 104a and in-vehicle system 104b, traffic light 106, and infrastructure sensor 110 via base station 108 and network 112 by an internal communication unit.
  • the server 172 receives vehicle information and sensor data from the in-vehicle system 104 a and the in-vehicle system 104 b and receives sensor data from the infrastructure sensor 110 .
  • Server 172 receives signal information from traffic light 106 .
  • the server 172 can implement the functions shown in FIG. 5 by means of the control unit, memory, and communication unit.
  • the server 172 calculates a recommended speed for a specific vehicle (eg, vehicle 102a or vehicle 102b), determines whether the recommended speed is appropriate, and if appropriate, transmits the recommended speed directly to the in-vehicle system installed in the specific vehicle. do. If the recommended speed is inappropriate, the server 172 corrects the recommended speed and transmits it to the in-vehicle system installed in the specific vehicle.
  • the specific vehicle that has received the corrected recommended speed can suppress unnecessary acceleration by providing the corrected recommended speed to the automatic driving ECU.
  • the server 172 transmits signal information to the particular vehicle in addition to the recommended speed.
  • the specific vehicle can provide the recommended speed signal information to the automatic driving ECU, thereby enabling coordinated control of the own vehicle's running and realizing appropriate automatic driving.
  • Each process (each function) of the above-described embodiment may be realized by a processing circuit (circuitry) including one or more processors.
  • the processing circuit may be configured by an integrated circuit or the like in which one or more memories, various analog circuits, and various digital circuits are combined in addition to the one or more processors.
  • the one or more memories store programs (instructions) that cause the one or more processors to execute the processes.
  • the one or more processors may execute the processes according to the program read from the one or more memories, or execute the processes according to a logic circuit designed in advance to execute the processes. may be executed.
  • the processor may be a CPU, GPU (Graphics Processing Unit), DSP (Digital Signal Processor), FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), or any other suitable processor for computer control. .
  • a recording medium recording a program for causing a computer to execute the processing of the in-vehicle device (specifically, the processing executed by the in-vehicle gateway 122 (for example, the processing shown in FIGS. 8 and 9)) can be provided.
  • a recording medium recording a program for causing a computer to execute the processing of the in-vehicle device (specifically, the processing executed by the in-vehicle gateway 122 (for example, the processing shown in FIGS. 8 and 9)
  • DVD Digital Versatile Disc
  • USB Universal Serial Bus
  • the computer-readable non-transitory recording medium is The computer installed in the target vehicle, A recommended speed calculation function for calculating a recommended speed based on the distance between the target vehicle and an intersection located on the travel route of the target vehicle, and signal information regarding the state of the traffic light placed at the intersection; a traffic information generation function for generating traffic information representing traffic conditions on a road from the position of the target vehicle to the intersection; a judgment function for judging whether the recommended speed is appropriate based on the traffic information; A computer program for realizing an output function that outputs the recommended speed to the execution unit of the automatic driving function, The output function stores a computer program including a function of outputting the recommended speed to the execution unit in response to the determination that the recommended speed is appropriate by the determination function.

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Abstract

This on-board device is installed in a subject vehicle having an automatic-driving function. The on-board device includes: a recommended speed calculation unit for calculating a recommended speed on the basis of a distance between the subject vehicle and an intersection located on a travel route of the subject vehicle, and signal information regarding the state of a signaling device disposed at the intersection; a traffic information generation unit for generating traffic information representing traffic conditions along a road from the position of the subject vehicle to the intersection; a determination unit for determining the suitability or non-suitability of the recommended speed on the basis of the traffic information; and an output unit for outputting the recommended speed to an execution unit of the automatic driving function. The output unit, upon reception of a determination from the determination unit that the recommended speed is suitable, outputs the recommended speed to the execution unit.

Description

車載装置、車両システム、サーバコンピュータ、制御方法及びコンピュータプログラムIn-vehicle device, vehicle system, server computer, control method and computer program
 本開示は、車載装置、車両システム、サーバコンピュータ、制御方法及びコンピュータプログラムに関する。本出願は、2021年10月6日出願の日本出願第2021-164423号に基づく優先権を主張し、前記日本出願に記載された全ての記載内容を援用するものである。 The present disclosure relates to an in-vehicle device, a vehicle system, a server computer, a control method, and a computer program. This application claims priority based on Japanese application No. 2021-164423 filed on October 6, 2021, and incorporates all the descriptions described in the Japanese application.
 自動車及び自動二輪車等(以下、車両という)に関して運転者を支援する種々のシステムが提案されている。例えば、一般財団法人道路交通情報通信システムセンターによる信号情報活用運転支援システム(TSPS:Traffic Signal Prediction Systems)が知られている。このシステムにおいては、光ビーコンから信号情報を送信し、TSPSに対応しているETC2.0車載機及びカーナビゲーションシステムは、信号通過支援及び赤信号減速支援等を行う。カーナビゲーションシステムは、信号通過支援として、青信号のまま交差点を通過する推奨速度を提示する。カーナビゲーションシステムは、赤信号減速支援として、先の信号が赤に変わるのに合わせて減速を促すメッセージを提示する。 Various systems have been proposed for assisting drivers of automobiles, motorcycles, etc. (hereinafter referred to as vehicles). For example, Traffic Signal Prediction Systems (TSPS) by the Road Traffic Information and Communication System Center is known. In this system, signal information is transmitted from the optical beacon, and the ETC 2.0 in-vehicle device and the car navigation system supporting TSPS perform signal passage support, red light deceleration support, and the like. The car navigation system presents a recommended speed for passing through the intersection while the light is green as traffic light passing assistance. As red light deceleration support, the car navigation system presents a message prompting deceleration as the traffic light ahead turns red.
 下記特許文献1には、交差点進入時の信号情報を予測し、車速及び交差点までの距離等に基づいて停止支援を行う場合の問題を解決するための運転支援装置が開示されている。即ち、信号待ち車両があれば、自車両はその車両の後ろに停車する必要があるため停止の警告タイミングがずれる問題がある。これを解決するために、この運転支援装置は、路側機により信号手前の所定地点を通過した車両状態量と、通過車両が向かう信号機の状態と、に基づき、後続車両(即ち自車両)の停止位置を決定する。 Patent Document 1 below discloses a driving support device for solving the problem of predicting signal information when entering an intersection and providing stop support based on vehicle speed, distance to the intersection, and the like. That is, if there is a vehicle waiting at a traffic light, the own vehicle must stop behind the vehicle, which causes a problem in that the timing of the stop warning is shifted. In order to solve this problem, this driving support system stops the following vehicle (i.e., the own vehicle) based on the state quantity of the vehicle that has passed a predetermined point in front of the signal by the roadside device and the state of the traffic light toward which the passing vehicle is heading. Determine position.
 道路及びその周辺に設定された種々のセンサ機器(例えばカメラ、レーダ等)を備えた路側装置からセンサの情報を収集し、それを解析して交通に関する情報(例えば事故、渋滞等)を、動的な運転支援情報として車両に提供することも提案されている。また、移動通信回線の高速化に伴い、路側装置に装備されたセンサ機器に限らず、車両に搭載されているセンサ機器からの情報を収集し、サーバコンピュータを介して通信し、又は、車車間において直接通信して、運転支援に有効利用することも提案されている。 Sensor information is collected from roadside devices equipped with various sensor devices (e.g., cameras, radars, etc.) installed on the road and its surroundings, and analyzed to obtain traffic-related information (e.g., accidents, traffic jams, etc.). It has also been proposed to provide such information to vehicles as general driving support information. In addition, with the speeding up of mobile communication lines, information is collected not only from sensors installed in roadside equipment, but also from sensors installed in vehicles, communicated via server computers, or used to communicate between vehicles. It is also proposed to directly communicate with each other and use it effectively for driving support.
 プラグインハイブリッド車(PHEV:Plug-in Hybrid Electric Vehicle)及び電気自動車(EV:Electric Vehicle)等の導入が進んでおり、これらを含め近年の車両には、種々の電子機器が装備され、それらを制御するECU(Electronic Control Unit)が搭載されている。例えば、自動運転可能な車両には、自動運転用ECUが搭載されている。自動運転用ECUは、適宜外部と通信し、必要な情報(例えば道路交通情報、動的な運転支援情報)の取得を行う。その他、エンジン制御ECU、ストップスタート制御ECU、トランスミッション制御ECU、エアバッグ制御ECU、パワーステアリング制御ECU、ハイブリッド制御ECU等がある。 The introduction of plug-in hybrid electric vehicles (PHEV) and electric vehicles (EV) is progressing, and recent vehicles including these are equipped with various electronic devices. A controlling ECU (Electronic Control Unit) is installed. For example, a vehicle capable of automatic operation is equipped with an ECU for automatic operation. The ECU for automatic driving appropriately communicates with the outside and acquires necessary information (for example, road traffic information and dynamic driving support information). In addition, there are an engine control ECU, a stop-start control ECU, a transmission control ECU, an airbag control ECU, a power steering control ECU, a hybrid control ECU, and the like.
特開2009-25902号公報JP-A-2009-25902
 本開示のある局面に係る車載装置は、自動運転機能を有する対象車両に搭載される車載装置であって、対象車両の走行経路上に位置する交差点と対象車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出部と、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成部と、交通情報に基づいて推奨速度の適否を判定する判定部と、推奨速度を自動運転機能の実行部に出力する出力部とを含み、出力部は、判定部により推奨速度が適切であると判定されたことを受けて、推奨速度を実行部に出力する。 An in-vehicle device according to an aspect of the present disclosure is an in-vehicle device mounted on a target vehicle having an automatic driving function, and includes a distance between an intersection located on a travel route of the target vehicle and the target vehicle, and a distance between the target vehicle and the intersection. A recommended speed calculation unit that calculates a recommended speed based on signal information regarding the state of the placed traffic lights, a traffic information generation unit that generates traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection, A determination unit that determines whether the recommended speed is appropriate based on traffic information, and an output unit that outputs the recommended speed to the execution unit of the automatic driving function. The output unit is determined by the determination unit that the recommended speed is appropriate. In response, it outputs the recommended speed to the execution unit.
 本開示の別の局面に係る車両システムは、自動運転機能を有する対象車両に搭載される車両システムであって、対象車両の走行経路上に位置する交差点に配置された信号機の状態に関する信号情報を取得する通信部と、自動運転機能の実行部と、上記の車載装置と、を含む。 A vehicle system according to another aspect of the present disclosure is a vehicle system that is mounted on a target vehicle having an automatic driving function, and that provides signal information regarding the state of a traffic light placed at an intersection located on a travel route of the target vehicle. It includes a communication unit that acquires information, an automatic driving function execution unit, and the in-vehicle device described above.
 本開示のさらに別の局面に係るサーバコンピュータは、自動運転機能を有する対象車両の運転を支援するサーバコンピュータであって、対象車両の走行経路上に位置する交差点に配置された信号機の状態に関する信号情報を取得する通信部と、交差点と対象車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出部と、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成部と、交通情報に基づいて推奨速度の適否を判定する判定部とを含み、通信部はさらに、判定部により推奨速度が適切であると判定されたことを受けて、推奨速度を対象車両に送信する。 A server computer according to still another aspect of the present disclosure is a server computer that supports driving of a target vehicle having an automatic driving function, and is a signal regarding the state of a traffic light placed at an intersection located on the travel route of the target vehicle. A communication unit that acquires information; a recommended speed calculation unit that calculates a recommended speed based on the distance between the intersection and the target vehicle; a traffic information generating unit for generating traffic information representing traffic conditions on the road from to the intersection; and a determining unit for determining whether the recommended speed is appropriate based on the traffic information. In response to being determined to be appropriate, the recommended speed is transmitted to the target vehicle.
 本開示のさらに別の局面に係る制御方法は、対象車両の自動運転機能を支援する制御方法であって、対象車両の走行経路上に位置する交差点と対象車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出ステップと、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成ステップと、交通情報に基づいて推奨速度の適否を判定する判定ステップと、推奨速度を自動運転機能の実行部に出力する出力ステップとを含み、出力ステップは、判定ステップにより推奨速度が適切であると判定されたことを受けて、推奨速度を実行部に出力するステップを含む。 A control method according to yet another aspect of the present disclosure is a control method for supporting an automatic driving function of a target vehicle, the distance between the target vehicle and an intersection located on the travel route of the target vehicle, A recommended speed calculation step of calculating a recommended speed based on signal information relating to the state of the placed traffic lights; a traffic information generation step of generating traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection; A judgment step for judging whether or not the recommended speed is appropriate based on the traffic information, and an output step for outputting the recommended speed to the execution unit of the automatic driving function. and outputting the recommended speed to the execution unit.
 本開示のさらに別の局面に係るコンピュータプログラムは、対象車両に搭載されたコンピュータに、対象車両の走行経路上に位置する交差点と車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出機能と、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成機能と、交通情報に基づいて推奨速度の適否を判定する判定機能と、推奨速度を自動運転機能の実行部に出力する出力機能とを実現させるためのコンピュータプログラムであって、出力機能は、判定機能により推奨速度が適切であると判定されたことを受けて、推奨速度を実行部に出力する機能を含む。 A computer program according to still another aspect of the present disclosure is a computer program installed in a target vehicle, which relates to the distance between the vehicle and an intersection located on the travel route of the target vehicle and the state of the traffic light placed at the intersection. A recommended speed calculation function that calculates a recommended speed based on signal information, a traffic information generation function that generates traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection, and a recommended speed based on the traffic information A computer program for realizing a judgment function that judges the propriety of and an output function that outputs the recommended speed to the execution unit of the automatic driving function, and the output function judges that the recommended speed is appropriate by the judgment function. It includes a function to output the recommended speed to the execution part in response to the fact.
図1は、本開示の実施形態に係る運転支援システムの構成を示す模式図である。FIG. 1 is a schematic diagram showing the configuration of a driving assistance system according to an embodiment of the present disclosure. 図2は、図1の運転支援システムが適用される交差点を含む道路を示す平面図である。FIG. 2 is a plan view showing a road including an intersection to which the driving assistance system of FIG. 1 is applied. 図3は、図1に示した車載システムのハードウェア構成を示すブロック図である。FIG. 3 is a block diagram showing the hardware configuration of the in-vehicle system shown in FIG. 1. As shown in FIG. 図4は、図3に示した車載ゲートウェイのハードウェア構成を示すブロック図である。FIG. 4 is a block diagram showing the hardware configuration of the vehicle-mounted gateway shown in FIG. 図5は、図3に示した車載ゲートウェイの機能構成を示すブロック図である。FIG. 5 is a block diagram showing the functional configuration of the in-vehicle gateway shown in FIG. 3. As shown in FIG. 図6は、交差点において右折車両により車両の滞留が発生する状態を示す平面図である。FIG. 6 is a plan view showing a state in which vehicles stagnate at an intersection due to right-turning vehicles. 図7は、自車両と交差点との間において車両の滞留が発生する状態を示す平面図である。FIG. 7 is a plan view showing a state in which vehicles stagnate between the host vehicle and the intersection. 図8は、車載ゲートウェイにより実行される動的地図の生成及び管理に関する処理を示すフローチャートである。FIG. 8 is a flow chart showing processing related to dynamic map generation and management executed by the in-vehicle gateway. 図9は、車両走行の協調制御に関連して、車載ゲートウェイにより実行される処理を示すフローチャートである。FIG. 9 is a flow chart showing processing executed by the in-vehicle gateway in relation to cooperative control of vehicle travel. 図10は、図1の運転支援システムが適用される、図2とは異なる道路を示す平面図である。FIG. 10 is a plan view showing a different road from FIG. 2 to which the driving assistance system of FIG. 1 is applied. 図11は、第1変形例に係る車載システムのハードウェア構成を示すブロック図である。FIG. 11 is a block diagram showing the hardware configuration of an in-vehicle system according to the first modified example. 図12は、図11に示した拡張装置のハードウェア構成を示すブロック図である。FIG. 12 is a block diagram showing the hardware configuration of the expansion device shown in FIG. 11; 図13は、第2変形例に係る運転支援システムの構成を示す模式図である。FIG. 13 is a schematic diagram showing the configuration of the driving support system according to the second modified example.
 [本開示が解決しようとする課題]
 現在のTSPSにおいては、信号情報に基づき車両の推奨速度を車載装置に提示しても、交差点の交通状況(例えば、車両の滞留等)により当該交差点を通過できるとは限らない。推奨速度を見た運転者が、先の交差点を通過できることを期待して、アクセルを踏み推奨速度まで車速を上げても、交差点直前においてブレーキを踏まなければならない状況が生じ得る。そのような推奨速度に従う限り、自動運転機能を有する車両においても同様の問題が生じ得る。そのような場合、無駄な加速により、無駄にエネルギー(例えば、ガソリン又は電力)が消費されることになる。この問題は、交差点において停止することを前提としている特許文献1によっては解決できない。
[Problems to be Solved by the Present Disclosure]
In the current TSPS, even if the recommended speed of the vehicle is presented to the in-vehicle device based on the signal information, it is not always possible to pass through the intersection due to traffic conditions at the intersection (for example, stagnation of vehicles, etc.). A driver who sees the recommended speed may step on the accelerator to increase the vehicle speed to the recommended speed in hopes of being able to pass the intersection ahead, but a situation may arise in which the driver must step on the brake just before the intersection. As long as such recommended speeds are obeyed, similar problems may occur in vehicles having automatic driving functions. In such a case, unnecessary acceleration results in wasted energy (eg, gasoline or electric power). This problem cannot be solved by Patent Document 1, which is based on the premise of stopping at an intersection.
 したがって、本開示は、自動運転機能を有する車両において、無駄な加速を抑制できる車載装置、車両システム、サーバコンピュータ、制御方法及びコンピュータプログラムを提供することを目的とする。 Therefore, an object of the present disclosure is to provide an in-vehicle device, a vehicle system, a server computer, a control method, and a computer program that can suppress unnecessary acceleration in a vehicle having an automatic driving function.
 [本開示の効果]
 本開示によれば、自動運転機能を有する車両において、無駄な加速を抑制できる車載装置、車両システム、サーバコンピュータ、制御方法及びコンピュータプログラムを提供できる。
[Effect of the present disclosure]
According to the present disclosure, it is possible to provide an in-vehicle device, a vehicle system, a server computer, a control method, and a computer program capable of suppressing unnecessary acceleration in a vehicle having an automatic driving function.
 [本開示の実施形態の説明]
 本開示の実施形態の内容を列記して説明する。以下に記載する実施形態の少なくとも一部を任意に組合せてもよい。
[Description of Embodiments of the Present Disclosure]
The contents of the embodiments of the present disclosure are listed and described. At least some of the embodiments described below may be combined arbitrarily.
 (1)本開示の第1の局面に係る車載装置は、自動運転機能を有する対象車両に搭載される車載装置であって、対象車両の走行経路上に位置する交差点と対象車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出部と、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成部と、交通情報に基づいて推奨速度の適否を判定する判定部と、推奨速度を自動運転機能の実行部に出力する出力部と、を含み、出力部は、判定部により推奨速度が適切であると判定されたことを受けて、推奨速度を実行部に出力する。これにより、自動運転機能を有する対象車両において、適切である推奨速度のみが提示されるので、不適切な推奨速度が提供されることによる無駄な加速を抑制できる。なお、車載装置には、自動運転機能を有する対象車両に標準装置として搭載されるものに限らず、拡張装置として後から搭載され得るものも含まれる。自動運転は、好ましくは、後述するレベル1(即ち運転支援)以上の全レベルを含む。 (1) An in-vehicle device according to a first aspect of the present disclosure is an in-vehicle device that is mounted on a target vehicle having an automatic driving function, and is located on a travel route of the target vehicle and an intersection between the target vehicle and A recommended speed calculation unit that calculates a recommended speed based on the distance and signal information regarding the state of the traffic lights placed at the intersection, and a traffic information that generates traffic information that represents the traffic conditions on the road from the position of the target vehicle to the intersection. An information generation unit, a determination unit that determines whether the recommended speed is appropriate based on traffic information, and an output unit that outputs the recommended speed to the execution unit of the automatic driving function. In response to the determination that it is appropriate, the recommended speed is output to the execution unit. As a result, only an appropriate recommended speed is presented for a target vehicle having an automatic driving function, so unnecessary acceleration due to provision of an inappropriate recommended speed can be suppressed. Note that the in-vehicle device is not limited to one that is installed as a standard device in a target vehicle having an automatic driving function, but also includes devices that can be installed later as expansion devices. Autonomous driving preferably includes all levels above Level 1 (that is, driving assistance), which will be described later.
 (2)上記の(1)において、出力部は、判定部により推奨速度が適切であると判定されたことを受けて、推奨速度に加えて、信号情報を実行部に出力できる。これにより、信号情報を用いて、自車両(即ち対象車両)の走行の協調制御が可能となり、適切な自動運転を実現できる。なお、協調制御とは、信号機、インフラセンサ及び他車両等から提供される情報(例えば信号情報、センサデータ、動的情報等)を反映させて、車両の走行を制御することを意味する。 (2) In (1) above, the output unit can output the signal information to the execution unit in addition to the recommended speed in response to the determination by the determination unit that the recommended speed is appropriate. As a result, it is possible to perform coordinated control of the running of the own vehicle (that is, the target vehicle) using the signal information, and realize appropriate automatic driving. Coordinated control means controlling the running of a vehicle by reflecting information (for example, signal information, sensor data, dynamic information, etc.) provided from traffic lights, infrastructure sensors, other vehicles, and the like.
 (3)上記の(1)又は(2)において、信号情報は、対象車両が交差点に進入する方向の交通を制御する特定信号機の情報を含んでいてもよく、推奨速度算出部は、距離を特定信号機の青色の残時間で除して推奨速度を算出してもよい。これにより、判定部により適否が判定される仮の推奨速度を容易に算出できる。 (3) In (1) or (2) above, the traffic light information may include information on a specific traffic light that controls traffic in the direction in which the target vehicle enters the intersection, and the recommended speed calculation unit calculates the distance. The recommended speed may be calculated by dividing by the remaining green time of the specific traffic light. With this, it is possible to easily calculate a provisional recommended speed for which suitability is determined by the determination unit.
 (4)上記の(3)において、推奨速度算出部は、特定信号機の青色の残時間が所定時間以上であることを受けて、推奨速度を算出してもよい。これにより、適切でないと判定される可能性が高い推奨速度の算出を回避でき、処理負荷を軽減できる。 (4) In (3) above, the recommended speed calculation unit may calculate the recommended speed in response to the fact that the remaining time of the blue color of the specific traffic light is equal to or longer than a predetermined time. This makes it possible to avoid calculating a recommended speed that is highly likely to be determined to be inappropriate, thereby reducing the processing load.
 (5)上記の(1)から(4)のいずれか1つにおいて、交通情報は、対象車両と交差点との間を走行している車両の代表速度であってもよく、判定部は、代表速度と推奨速度との差異を算出し、当該差異に基づいて、推奨速度の適否を判定してもよい。これにより、推奨速度の適否を正確に判定できる。 (5) In any one of (1) to (4) above, the traffic information may be a representative speed of a vehicle traveling between the target vehicle and the intersection, and the determining unit may A difference between the speed and the recommended speed may be calculated, and whether or not the recommended speed is appropriate may be determined based on the difference. This makes it possible to accurately determine whether the recommended speed is appropriate.
 (6)上記の(5)において、差異は、代表速度から推奨速度を減算して算出された差分であってもよく、判定部は、差分が0以上の所定値以上であれば、推奨速度は適切であると判定し、差分が所定値未満であれば、推奨速度は適切でないと判定してもよい。これにより、推奨速度の適否をより正確に判定できる。 (6) In (5) above, the difference may be a difference calculated by subtracting the recommended speed from the representative speed. is appropriate, and if the difference is less than a predetermined value, it may be determined that the recommended speed is not appropriate. This makes it possible to more accurately determine whether the recommended speed is appropriate.
 (7)上記の(5)又は(6)において、代表速度は、対象車両と交差点との間を当該対象車両と同じ方向に走行している複数の車両の平均速度若しくは最小速度、複数の車両のうち、交差点に最も近い車両の速度、又は、複数の車両のうち、対象車両に最も近い車両の速度であってもよい。これにより、適切な代表速度を決定でき、推奨速度の適否を適切に判定できる。 (7) In (5) or (6) above, the representative speed is the average speed or minimum speed of a plurality of vehicles traveling in the same direction as the target vehicle between the target vehicle and the intersection. Among them, the speed of the vehicle closest to the intersection or the speed of the vehicle closest to the target vehicle among a plurality of vehicles may be used. As a result, an appropriate representative speed can be determined, and appropriateness of the recommended speed can be appropriately determined.
 (8)上記の(5)又は(6)において、判定部は、交差点及び交差点の周囲における動的情報を基に、対象車両と交差点との間を当該対象車両と同じ方向に走行している複数の車両の各々に関し、所定時間後の推定速度を算出してもよく、代表速度は、複数の推定速度の平均値若しくは最小値、複数の車両のうち、交差点に最も近い車両の推定速度、又は、複数の車両のうち、対象車両に最も近い車両の推定速度であってもよい。これにより、より適切な代表速度を決定でき、推奨速度の適否をより適切に判定できる。 (8) In (5) or (6) above, the determining unit is traveling in the same direction as the target vehicle between the target vehicle and the intersection based on the dynamic information about the intersection and the intersection. For each of the plurality of vehicles, the estimated speed after a predetermined time may be calculated, and the representative speed is the average value or minimum value of the plurality of estimated speeds, the estimated speed of the vehicle closest to the intersection among the plurality of vehicles, Alternatively, it may be the estimated speed of the vehicle closest to the target vehicle among a plurality of vehicles. This makes it possible to determine a more appropriate representative speed and more appropriately determine whether the recommended speed is appropriate.
 (9)上記の(1)から(8)のいずれか1つにおいて、車載装置は、判定部による判定結果に基づいて推奨速度を補正する推奨速度補正部をさらに含んでいてもよく、出力部は、判定部により推奨速度が適切でないと判定されたことを受けて、推奨速度補正部により補正された後の推奨速度を実行部に出力してもよい。これにより、適切な自動運転を実現できる。 (9) In any one of (1) to (8) above, the in-vehicle device may further include a recommended speed correction unit that corrects the recommended speed based on the determination result of the determination unit; may output the recommended speed corrected by the recommended speed correction unit to the execution unit in response to the fact that the determination unit has determined that the recommended speed is not appropriate. As a result, appropriate automatic driving can be realized.
 (10)上記の(9)において、推奨速度補正部は、判定部により推奨速度が適切であると判定されたことを受けて、推奨速度を維持してもよく、判定部により推奨速度が適切でないと判定されたことを受けて、推奨速度をより小さい値に補正してもよい。これにより、より適切な自動運転を実現できる。 (10) In (9) above, the recommended speed correction unit may maintain the recommended speed in response to the determination by the determination unit that the recommended speed is appropriate, and the determination unit determines that the recommended speed is appropriate. The recommended speed may be corrected to a smaller value in response to the determination that it is not. As a result, more appropriate automatic driving can be realized.
 (11)本開示の第2の局面に係る車両システムは、自動運転機能を有する対象車両に搭載される車両システムであって、対象車両の走行経路上に位置する交差点に配置された信号機の状態に関する信号情報を取得する通信部と、自動運転機能の実行部と、上記の(1)から(10)のいずれか1つの車載装置と、を含む。これにより、自動運転機能を有する対象車両において、適切である推奨速度のみが提示されるので、不適切な推奨速度が提供されることによる無駄な加速を抑制できる。 (11) A vehicle system according to a second aspect of the present disclosure is a vehicle system mounted on a target vehicle having an automatic driving function, and the state of a traffic signal placed at an intersection located on the travel route of the target vehicle. a communication unit that acquires signal information regarding, an execution unit for an automatic driving function, and any one of the in-vehicle devices of (1) to (10) above. As a result, only an appropriate recommended speed is presented for a target vehicle having an automatic driving function, so unnecessary acceleration due to provision of an inappropriate recommended speed can be suppressed.
 (12)本開示の第3の局面に係るサーバコンピュータは、自動運転機能を有する対象車両の運転を支援するサーバコンピュータであって、対象車両の走行経路上に位置する交差点に配置された信号機の状態に関する信号情報を取得する通信部と、交差点と車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出部と、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成部と、交通情報に基づいて推奨速度の適否を判定する判定部と、を含み、通信部はさらに、判定部により推奨速度が適切であると判定されたことを受けて、推奨速度を対象車両に送信する。これにより、自動運転機能を有する対象車両において、適切である推奨速度のみが提示されるので、不適切な推奨速度が提供されることによる無駄な加速を抑制できる。 (12) A server computer according to a third aspect of the present disclosure is a server computer that supports driving of a target vehicle having an automatic driving function, and is a signal installed at an intersection located on the travel route of the target vehicle. A communication unit that acquires signal information regarding the state, a recommended speed calculation unit that calculates a recommended speed based on the distance between the intersection and the vehicle, and signal information regarding the state of the traffic light placed at the intersection, and the target vehicle. a traffic information generation unit that generates traffic information representing traffic conditions on the road from the position of to the intersection; and a determination unit that determines whether the recommended speed is appropriate based on the traffic information. After it is determined that the recommended speed is appropriate, the recommended speed is transmitted to the target vehicle. As a result, only an appropriate recommended speed is presented for a target vehicle having an automatic driving function, so unnecessary acceleration due to provision of an inappropriate recommended speed can be suppressed.
 (13)本開示の第4の局面に係る制御方法は、対象車両の自動運転機能を支援する制御方法であって、対象車両の走行経路上に位置する交差点と対象車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出ステップと、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成ステップと、交通情報に基づいて推奨速度の適否を判定する判定ステップと、推奨速度を自動運転機能の実行部に出力する出力ステップと、を含み、出力ステップは、判定ステップにより推奨速度が適切であると判定されたことを受けて、推奨速度を実行部に出力するステップを含む。これにより、自動運転機能を有する対象車両において、適切である推奨速度のみが提示されるので、不適切な推奨速度が提供されることによる無駄な加速を抑制できる。 (13) A control method according to a fourth aspect of the present disclosure is a control method for supporting an automatic driving function of a target vehicle, and the distance between the target vehicle and an intersection located on the travel route of the target vehicle , a recommended speed calculation step of calculating a recommended speed based on signal information regarding the state of the traffic signal placed at the intersection, and a traffic information generation step of generating traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection. a determination step of determining whether the recommended speed is appropriate based on traffic information; and an output step of outputting the recommended speed to the execution unit of the automatic driving function. The step of outputting the recommended speed to the execution unit is included in response to the determination that there is. As a result, only an appropriate recommended speed is presented for a target vehicle having an automatic driving function, so unnecessary acceleration due to provision of an inappropriate recommended speed can be suppressed.
 (14)本開示の第5の局面に係る車両コンピュータプログラムは、対象車両に搭載されたコンピュータに、対象車両の走行経路上に位置する交差点と対象車両との間の距離と、交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出機能と、対象車両の位置から交差点までの道路における交通状況を表す交通情報を生成する交通情報生成機能と、交通情報に基づいて推奨速度の適否を判定する判定機能と、推奨速度を自動運転機能の実行部に出力する出力機能と、を実現させるためのコンピュータプログラムであって、出力機能は、判定機能により推奨速度が適切であると判定されたことを受けて、推奨速度を実行部に出力する機能を含む。これにより、自動運転機能を有する対象車両において、適切である推奨速度のみが提示されるので、不適切な推奨速度が提供されることによる無駄な加速を抑制できる。 (14) A vehicle computer program according to a fifth aspect of the present disclosure stores, in a computer mounted on a target vehicle, a distance between an intersection located on a travel route of the target vehicle and the target vehicle, and a position at the intersection. A recommended speed calculation function that calculates a recommended speed based on traffic signal information related to the state of the traffic light, a traffic information generation function that generates traffic information representing traffic conditions on the road from the position of the target vehicle to the intersection, and traffic information and an output function for outputting the recommended speed to the execution unit of the automatic driving function, wherein the output function is the recommended speed by the determination function It includes a function of outputting the recommended speed to the execution unit in response to the fact that the speed is determined to be appropriate. As a result, only an appropriate recommended speed is presented for a target vehicle having an automatic driving function, so unnecessary acceleration due to provision of an inappropriate recommended speed can be suppressed.
 [本開示の実施形態の詳細]
 以下の実施形態においては、同一の部品には同一の参照番号を付してある。それらの名称及び機能も同一である。したがって、それらについての詳細な説明は繰返さない。
[Details of the embodiment of the present disclosure]
In the following embodiments, identical parts are provided with identical reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.
 [全体構成]
 図1を参照して、本開示の実施形態に係る運転支援システム100は、複数の車両102a及び車両102bにそれぞれ搭載された車載システム104a及び車載システム104bを含む。車載システム104a及び車載システム104bは相互に通信可能である。車載システム104a及び車載システム104b間の通信は、基地局108を介した通信であっても、基地局108を介さない直接通信であってもよい。これにより、後述するように、車両102a及び車両102bの各々において、自車両の走行の協調制御が可能になる。基地局108は、例えば、4G(即ち第4世代移動通信システム)回線及び5G(即ち第5世代移動通信システム)回線等による移動通信サービスを提供している。
[overall structure]
Referring to FIG. 1, a driving assistance system 100 according to an embodiment of the present disclosure includes an in-vehicle system 104a and an in-vehicle system 104b installed in a plurality of vehicles 102a and 102b, respectively. In-vehicle system 104a and in-vehicle system 104b can communicate with each other. Communication between the in-vehicle system 104 a and the in-vehicle system 104 b may be communication via the base station 108 or direct communication without the base station 108 . Thereby, as will be described later, each of the vehicle 102a and the vehicle 102b can perform coordinated control of the running of the own vehicle. The base station 108 provides mobile communication services through, for example, 4G (ie, fourth generation mobile communication system) lines and 5G (ie, fifth generation mobile communication system) lines.
 車両102a及び車両102bがそれぞれ搭載している車載システム104a及び車載システム104bは、基地局108がサービスしている通信仕様(例えば4G回線、5G回線等)による通信機能を有している。上記したように、車載システム104a及び車載システム104bは、基地局108を介さずに相互に直接通信する機能(例えばV2V(Vehicle to Vehicle))をも有する。基地局108を介さない相互通信には、例えば無線LAN(Local Area Network)が使用される。 The in-vehicle system 104a and the in-vehicle system 104b installed in the vehicle 102a and the vehicle 102b, respectively, have communication functions according to the communication specifications (eg, 4G line, 5G line, etc.) serviced by the base station 108. As described above, the in-vehicle system 104a and the in-vehicle system 104b also have a function of communicating directly with each other without going through the base station 108 (for example, V2V (Vehicle to Vehicle)). A wireless LAN (Local Area Network), for example, is used for mutual communication not via the base station 108 .
 道路(交差点を含む)及びその周辺等(以下、路側ともいう)に固定して設置されたインフラセンサ110及び道路交通用の信号機106も、車載システム104a及び車載システム104bと通信可能である。歩行者900、車両102a及び車両102bは、インフラセンサ110の検出対象である。歩行者900は、車両102a及び車両102bに搭載されたセンサの検出対象でもある。 The infrastructure sensor 110 and the road traffic signal 106 fixedly installed on the road (including intersections) and its surroundings (hereinafter also referred to as roadside) can also communicate with the in-vehicle system 104a and the in-vehicle system 104b. Pedestrian 900 , vehicle 102 a and vehicle 102 b are detection targets of infrastructure sensor 110 . Pedestrian 900 is also a detection target of sensors mounted on vehicles 102a and 102b.
 インフラセンサ110は路側に設置され、路側における情報を取得する機能を備えた装置であり、基地局108との通信機能を有している。インフラセンサ110は、例えば、イメージセンサ(例えばデジタルの監視カメラ等)、レーダ(例えばミリ波レーダ等)、又はレーザセンサ(例えばLiDAR(Light Detection And Ranging)等)等である。なお、インフラセンサ110は、演算機能を有する路側機に装備又は接続されていてもよい。 The infrastructure sensor 110 is installed on the roadside, is a device equipped with a function of acquiring roadside information, and has a communication function with the base station 108 . The infrastructure sensor 110 is, for example, an image sensor (such as a digital surveillance camera), a radar (such as a millimeter wave radar), or a laser sensor (such as LiDAR (Light Detection And Ranging)). In addition, the infrastructure sensor 110 may be equipped with or connected to a roadside device having a computing function.
 車両102a及び車両102bの各々が搭載しているセンサにより取得されたセンサデータは、車載システム104a及び車載システム104bにおいて解析され、解析結果は動的情報として記憶される。動的情報は、自車両の自動運転機能において使用される。自動運転は、運転主体(即ち、人又はシステム)及び走行領域(即ち、限定的又は限定なし)に応じて、レベル1からレベル5に区分される。動的情報が使用され得る自動運転は、レベル4以上の完全自動運転(即ち、人が運転せずシステムが運転主体となる)に限らず、運転支援等の人が運転主体となるレベル1及びレベル2、並びに、条件付自動運転(即ちレベル3)をも含むと好ましい。即ち、動的情報が使用され得る自動運転は、レベル1からレベル5のいずれの自動運転であってもよいし、レベル1からレベル5のいずれかの自動運転であってもよい。また、動的情報は、上記したように車載システム104a及び車載システム104b間において相互に通信され得る。車載システム104a及び車載システム104bは、動的情報に加えて、各々が搭載された車両の情報(例えば車両位置、車両速度、走行方向等)をも相互に通信する。 The sensor data acquired by the sensors mounted on each of the vehicles 102a and 102b are analyzed by the in-vehicle system 104a and the in-vehicle system 104b, and the analysis results are stored as dynamic information. Dynamic information is used in self-driving functions of the ego vehicle. Autonomous driving is classified into Level 1 to Level 5 according to the driving subject (ie, human or system) and the driving area (ie, limited or unrestricted). Automated driving for which dynamic information can be used is not limited to level 4 or higher fully automated driving (i.e., the system is the main driving force without a human being driving), as well as level 1 and It is preferable to include Level 2 as well as Conditional Autonomous Driving (ie Level 3). That is, automated driving for which dynamic information can be used may be any of level 1 to level 5 automated driving, or any of level 1 to level 5 automated driving. Also, dynamic information may be communicated back and forth between in-vehicle system 104a and in-vehicle system 104b as described above. In addition to dynamic information, in-vehicle system 104a and in-vehicle system 104b communicate with each other information about the vehicle in which each is installed (eg, vehicle position, vehicle speed, direction of travel, etc.).
 センサにより検出された動的物体に関する情報(以下、動的情報という)は、動的地図の生成に使用される。「動的地図」とは、動的情報を、静的地図(例えば道路地図等)に対応付けたものである。例えば、動的地図として、{動的物体を特定する情報,動的情報,地図上のエリアを特定する情報}を1つのデータセットとし、動的物体の数だけデータセットを含むデータ構造を採用できる。なお、自車両の自動運転に用いるための動的地図は、自車両の走行経路(即ち、走行する予定の道路)を含む所定領域に関するものであればよい。その所定領域に含まれる動的情報が、自車両の走行の協調制御に使用される。 Information about dynamic objects detected by sensors (hereinafter referred to as dynamic information) is used to generate dynamic maps. A “dynamic map” is a map in which dynamic information is associated with a static map (for example, a road map, etc.). For example, as a dynamic map, {information specifying a dynamic object, dynamic information, information specifying an area on the map} is set as one data set, and a data structure is adopted that includes data sets as many as the number of dynamic objects. can. It should be noted that the dynamic map for use in automatic driving of the own vehicle may be related to a predetermined area including the travel route of the own vehicle (that is, the road on which the vehicle is scheduled to travel). Dynamic information contained in the predetermined area is used for coordinated control of travel of the host vehicle.
 動的物体は、移動している物体(即ち、人及び車両等)に限らず、移動機能を有しているが停止している物体をも含む。動的情報は、動的物体の変位(即ち位置、その変化の大きさ及び方向)に関する情報を含み、例えば、動的物体毎の位置、移動速度、移動方向及び時間情報等により構成される。また、動的情報は、予測情報を含み得る。例えば、車載システム104a及び車載システム104bが、予測機能を有していれば、動的物体の現在までの移動軌跡、移動速度及び移動方向を用いて、将来(例えば、現在から所定時間以内)の移動軌跡、移動速度及び移動方向を予測できる。したがって、それらを、動的情報に含んでもよい。時間情報は、例えば、動的情報の生成時刻、及び、有効期限を含む。有効期限は、その動的情報が生成されてから、有効に利用され得る上限時間を表す。 Dynamic objects are not limited to moving objects (that is, people, vehicles, etc.), but also include stationary objects that have the ability to move. The dynamic information includes information about the displacement of the dynamic object (that is, the position, the magnitude and direction of the change), and is composed of, for example, position, moving speed, moving direction and time information for each dynamic object. Dynamic information may also include forecast information. For example, if the in-vehicle system 104a and the in-vehicle system 104b have a prediction function, using the movement trajectory, movement speed, and movement direction of the dynamic object up to the present, future (for example, within a predetermined time from the present) Movement trajectory, movement speed and movement direction can be predicted. Therefore, they may be included in the dynamic information. The time information includes, for example, the generation time of the dynamic information and the expiration date. The validity period represents the upper limit of time that the dynamic information can be effectively used after it is generated.
 地図上のエリアは、例えば、道路地図を格子状に区切った各領域(以下、グリッド領域という)である。その場合、動的地図は、各グリッド領域に対応させて、その領域内に含まれる動的情報を記憶したものである。動的地図は、新たなデータを用いて、時々刻々と更新される。 An area on the map is, for example, each area (hereinafter referred to as a grid area) that divides the road map into a grid. In that case, the dynamic map stores the dynamic information contained in each grid area corresponding to the grid area. A dynamic map is updated from time to time with new data.
 図1には、例示的に1つの基地局108、1つのインフラセンサ110、1台の信号機106、並びに、車載システムが搭載された2台の車両102a及び車両102bを示している。しかしこれは例示に過ぎない。通常、複数の基地局が設けられ、3台以上の車両に車載システムが搭載されている。例えば、図2を参照して、車両102aから車両102dが交差点910に向かって走行しており、交差点910には、信号機106aから信号機106f及びインフラセンサ110が配置され、歩行者900a及び歩行者900b等が存在する。信号機106aから信号機106d等は車両用の信号機であり、信号機106e及び信号機106f等は歩行者用の信号機である。図2に示された車両には、車載システムを搭載していない車両が含まれていてもよい。 FIG. 1 exemplarily shows one base station 108, one infrastructure sensor 110, one traffic light 106, and two vehicles 102a and 102b equipped with an in-vehicle system. But this is only an example. Usually, a plurality of base stations are provided, and an in-vehicle system is installed in three or more vehicles. For example, referring to FIG. 2, vehicles 102a to 102d are traveling toward an intersection 910. At the intersection 910, traffic lights 106a to 106f and an infrastructure sensor 110 are arranged. etc. exist. The traffic signals 106a to 106d, etc. are traffic signals for vehicles, and the traffic signals 106e, 106f, etc. are traffic signals for pedestrians. The vehicles shown in FIG. 2 may include vehicles that do not have an in-vehicle system.
 [車載システムのハードウェア構成]
 図3を参照して、車両102aに搭載されている車載システム104aのハードウェア構成の一例を示す。車両102bに搭載された車載システム104bも同様に構成されている。車載システム104aは、通信部120、車載ゲートウェイ122、センサ124、自動運転ECU126、ECU128、並びに、バス130及びバス132を含む。なお、車載システム104aは、自動運転ECU126以外に複数のECUを含み、図3にはそれらの代表としてECU128を示している。
[Hardware configuration of in-vehicle system]
Referring to FIG. 3, an example of the hardware configuration of the in-vehicle system 104a mounted on the vehicle 102a is shown. An in-vehicle system 104b mounted on the vehicle 102b is similarly configured. The in-vehicle system 104 a includes a communication unit 120 , an in-vehicle gateway 122 , a sensor 124 , an automatic driving ECU 126 , an ECU 128 , and a bus 130 and a bus 132 . In addition, the in-vehicle system 104a includes a plurality of ECUs in addition to the automatic driving ECU 126, and FIG. 3 shows the ECU 128 as a representative of them.
 通信部120は、車両102aの外部装置と無線通信(例えば、基地局108を介した車載システム104bとの通信)を行う。通信部120は、無線通信において採用されている変調及び多重化を行うためのIC、所定周波数の電波を送信及び受信するためのアンテナ、並びにRF回路等を含む。通信部120は、GPS(Global Positioning System)等のGNSS(Global Navigation Satellite System、全地球衛星測位システム)との通信機能をも有する。通信部120は、無線LAN等の通信機能も有していてもよい。 The communication unit 120 performs wireless communication with an external device of the vehicle 102a (for example, communication with the in-vehicle system 104b via the base station 108). The communication unit 120 includes an IC for modulation and multiplexing employed in wireless communication, an antenna for transmitting and receiving radio waves of a predetermined frequency, an RF circuit, and the like. The communication unit 120 also has a function of communicating with GNSS (Global Navigation Satellite System) such as GPS (Global Positioning System). The communication unit 120 may also have a communication function such as a wireless LAN.
 車載装置である車載ゲートウェイ122は、車外との通信機能(即ち通信仕様)と車内における通信機能(即ち通信仕様)とを接合する役割(即ち通信プロトコル変換等)を担う。自動運転ECU126は、車載ゲートウェイ122及び通信部120を介して、外部装置と通信できる。車載ゲートウェイ122は、通信部120を介して外部から受信する情報のうち、動的情報及びその生成に利用するデータ(例えばセンサデータ、センサデータの解析結果等)を取得し、後述するように、動的地図を生成し、更新する。更新された動的地図(即ち動的情報)は、自動運転ECU126に伝送される。各部間のデータ交換は、バス130及びバス132を介して行われる。 The in-vehicle gateway 122, which is an in-vehicle device, plays a role (that is, communication protocol conversion, etc.) that connects the communication function (that is, communication specification) with the outside of the vehicle and the communication function (that is, communication specification) inside the vehicle. The automatic driving ECU 126 can communicate with external devices via the in-vehicle gateway 122 and the communication unit 120 . The in-vehicle gateway 122 acquires dynamic information and data used for its generation (e.g., sensor data, sensor data analysis results, etc.) among the information received from the outside via the communication unit 120, and, as described later, Generate and update dynamic maps. The updated dynamic map (ie dynamic information) is transmitted to the autonomous driving ECU 126 . Data exchange between units occurs via bus 130 and bus 132 .
 センサ124は、車両102aに搭載され、車両102a外部の情報を取得するためのセンサ(例えば、ビデオ映像の撮像装置(例えば、デジタルカメラ(例えばCCDカメラ、CMOSカメラ))、レーザセンサ(例えばLiDAR)等)、及び、車両自体の情報を取得するためのセンサ(例えば加速度センサ、荷重センサ等)を含む。センサ124は、検知範囲(例えば、カメラであれば撮像範囲)内の情報を取得してセンサデータとして出力する。デジタルカメラであれば、デジタルの画像データを出力する。センサ124の検出信号(即ち、アナログ又はデジタル信号)は、I/F部(図示せず)を介して、デジタルデータとしてバス132に出力され、車載ゲートウェイ122及び自動運転ECU126等に送信される。 The sensor 124 is mounted on the vehicle 102a and is a sensor for acquiring information outside the vehicle 102a (for example, a video imaging device (for example, a digital camera (for example, a CCD camera, a CMOS camera)), a laser sensor (for example, LiDAR). etc.), and sensors for obtaining information on the vehicle itself (for example, an acceleration sensor, a load sensor, etc.). The sensor 124 acquires information within a detection range (for example, an imaging range in the case of a camera) and outputs it as sensor data. A digital camera outputs digital image data. A detection signal (that is, an analog or digital signal) of the sensor 124 is output as digital data to the bus 132 via an I/F unit (not shown) and transmitted to the vehicle-mounted gateway 122, the automatic driving ECU 126, and the like.
 自動運転ECU126は、車両102aの自動運転を制御する。例えば、自動運転ECU126は、センサデータを取得し、それを解析して車両周囲の状況を把握し、自動運転に関連する機構(例えばエンジン、変速機、ステアリング、ブレーキ等の機構)を制御する。自動運転ECU126は、車載ゲートウェイ122から取得した動的情報(即ち動的地図)を自動運転に利用する。 The automatic driving ECU 126 controls automatic driving of the vehicle 102a. For example, the automatic driving ECU 126 acquires sensor data, analyzes it to grasp the situation around the vehicle, and controls mechanisms related to automatic driving (for example, mechanisms such as the engine, transmission, steering, brakes, etc.). The automatic driving ECU 126 uses the dynamic information (that is, dynamic map) acquired from the in-vehicle gateway 122 for automatic driving.
 車両102aの動的情報は、車両102bの車載システム104b等、他車両の車載システムに送信される。例えば、車載ゲートウェイ122は、動的情報を含むパケットデータを生成し、通信部120から基地局108を介して車載システム104bに送信する。センサデータも、車両102bの車載システム104bに送信されてもよい。これにより、車載システム104bは、受信したデータを車両102bの自動運転に利用できる。即ち、車載システム104a及び車載システム104bの各々は、自車両の走行の協調制御を実現できる。 The dynamic information of the vehicle 102a is transmitted to the in-vehicle systems of other vehicles, such as the in-vehicle system 104b of the vehicle 102b. For example, the in-vehicle gateway 122 generates packet data including dynamic information, and transmits it from the communication unit 120 to the in-vehicle system 104b via the base station 108. FIG. Sensor data may also be transmitted to the in-vehicle system 104b of the vehicle 102b. Thereby, the in-vehicle system 104b can use the received data for automatic driving of the vehicle 102b. That is, each of the in-vehicle system 104a and the in-vehicle system 104b can implement cooperative control of the running of the own vehicle.
 [車載ゲートウェイのハードウェア構成]
 図4を参照して、車載ゲートウェイ122は、制御部140及びメモリ142を含む。制御部140は、CPU(Central Processing Unit)を含んで構成されており、メモリ142を制御する。メモリ142は、例えば、書換可能な不揮発性の半導体メモリであり、制御部140が実行するコンピュータプログラム(以下、単にプログラムという)を記憶している。メモリ142は、制御部140が実行するプログラムのワーク領域を提供する。制御部140は、処理対象のデータをバス130及びバス132を介して取得し、処理結果をメモリ142に記憶し、バス130及びバス132に出力する。
[Hardware configuration of in-vehicle gateway]
Referring to FIG. 4, in-vehicle gateway 122 includes control unit 140 and memory 142 . The control unit 140 includes a CPU (Central Processing Unit) and controls the memory 142 . The memory 142 is, for example, a rewritable non-volatile semiconductor memory, and stores computer programs (hereinafter simply referred to as programs) executed by the control unit 140 . Memory 142 provides a work area for programs executed by control unit 140 . The control unit 140 acquires data to be processed via the buses 130 and 132 , stores the processing results in the memory 142 , and outputs them to the buses 130 and 132 .
 [車載ゲートウェイの機能的構成]
 図5を参照して、車載ゲートウェイ122の機能に関して説明する。以下の説明において、図2に示した車両102aが自車両であるとする。車載ゲートウェイ122は、記憶部200、動的情報生成部202、動的地図生成部204、交通情報生成部206、推奨速度算出部208、判定部210、推奨速度補正部212及び出力部214を含む。記憶部200は、通信部120により受信されてバス130を介して入力されるデータと、バス132を介して入力されるセンサ124のセンサデータとを記憶する。記憶部200には、道路地図が記憶されている。バス130を介して入力されるデータには、信号情報、他車両の情報(例えば位置情報、速度情報、走行方向)、動的情報、センサデータ等が含まれる。記憶部200は、図4のメモリ142により実現される。それ以外の後述する機能は、制御部140により実現される。
[Functional configuration of in-vehicle gateway]
The functions of the in-vehicle gateway 122 will be described with reference to FIG. In the following description, it is assumed that the vehicle 102a shown in FIG. 2 is the own vehicle. The in-vehicle gateway 122 includes a storage unit 200, a dynamic information generation unit 202, a dynamic map generation unit 204, a traffic information generation unit 206, a recommended speed calculation unit 208, a determination unit 210, a recommended speed correction unit 212, and an output unit 214. . Storage unit 200 stores data received by communication unit 120 and input via bus 130 and sensor data of sensor 124 input via bus 132 . A road map is stored in the storage unit 200 . The data input via the bus 130 includes signal information, other vehicle information (for example, position information, speed information, traveling direction), dynamic information, sensor data, and the like. Storage unit 200 is realized by memory 142 in FIG. Other functions, which will be described later, are implemented by the control unit 140 .
 動的情報生成部202は、記憶部200からセンサデータを読出し、動的情報を生成する。動的情報生成部202は、生成した動的情報を記憶部200に記憶する。動的地図生成部204は、記憶部200から読出した他車両の情報及び動的情報、通信部120から受信した自車両の位置情報(即ちGPSデータ)、及び、自車両を走行させるための駆動部(即ち、自動運転ECU126の制御対象)から取得した速度情報を用いて動的地図を更新する。更新された動的地図は記憶部200に記憶される。 The dynamic information generation unit 202 reads sensor data from the storage unit 200 and generates dynamic information. The dynamic information generation unit 202 stores the generated dynamic information in the storage unit 200 . The dynamic map generation unit 204 generates information on other vehicles and dynamic information read from the storage unit 200, the position information of the own vehicle (that is, GPS data) received from the communication unit 120, and the driving force for running the own vehicle. The dynamic map is updated using the speed information acquired from the unit (that is, the control target of the automatic driving ECU 126). The updated dynamic map is stored in storage unit 200 .
 交通情報生成部206は、記憶部200から動的地図を読出し、後述する協調可否の判定に用いる交通状況を表す情報(以下、交通情報という)を生成する。交通情報生成部206は、生成した交通情報を判定部210及び推奨速度補正部212に出力する。交通情報は、例えば、自車両の現在位置から、自車両の走行経路上に位置する交差点(例えば、直近の交差点)までの間における交通状況(例えば、動的物体の状態)を表す情報である。例えば、図2において、交通情報は、車両102a(即ち自車両)から交差点910までの間(交差点910を含む)を走行している複数の車両(即ち車両群114)、並びに歩行者900a及び歩行者900b等の状態に関する情報(例えば属性、位置、速度、進行方向等)を含む。 The traffic information generation unit 206 reads the dynamic map from the storage unit 200 and generates information representing traffic conditions (hereinafter referred to as traffic information) used to determine whether cooperation is possible, which will be described later. The traffic information generation unit 206 outputs the generated traffic information to the determination unit 210 and the recommended speed correction unit 212 . Traffic information is, for example, information representing the traffic conditions (for example, the state of dynamic objects) from the current position of the vehicle to an intersection (for example, the nearest intersection) located on the travel route of the vehicle. . For example, in FIG. 2, the traffic information includes a plurality of vehicles (i.e., vehicle group 114) traveling between vehicle 102a (i.e., the host vehicle) and intersection 910 (including intersection 910), and pedestrians 900a and pedestrians. It includes information about the state of the person 900b, etc. (for example, attributes, position, speed, direction of travel, etc.).
 交通情報として、車両102a及び交差点910の間に位置する1又は複数の車両(以下、車両群という)の代表速度Vgの情報を用いることができる。代表速度は、後述する推奨速度の適否の判定に用いられる。代表速度は、例えば、車両群114(即ち、車両102b、車両102c及び車両102d)の平均速度又は最小速度である。代表速度は、車両群の車両のうち交差点910に最も近い車両102bの速度、又は、車両群114の車両のうち自車両である車両102aに最も近い車両102dの速度であってもよい。これにより、適切な代表速度を決定でき、後述する推奨速度の適否を適切に判定できる。 Information on the representative speed Vg of one or more vehicles (hereinafter referred to as a group of vehicles) located between the vehicle 102a and the intersection 910 can be used as the traffic information. The representative speed is used to determine whether the recommended speed is appropriate, which will be described later. The representative speed is, for example, the average or minimum speed of the fleet of vehicles 114 (ie, vehicle 102b, vehicle 102c, and vehicle 102d). The representative speed may be the speed of the vehicle 102b closest to the intersection 910 among the vehicles in the vehicle group, or the speed of the vehicle 102d closest to the host vehicle 102a among the vehicles in the vehicle group 114 . As a result, an appropriate representative speed can be determined, and appropriateness of a recommended speed, which will be described later, can be appropriately determined.
 また、交通情報生成部206は、交差点及び交差点の周囲における動的情報(例えば、動的物体の位置及び移動速度等)を基に、自車両及び交差点の間を自車両と同じ方向に走行している複数の車両の各々に関し、所定時間(例えばt秒)後の推定速度を推定し、推定速度から代表速度を決定してもよい。例えば、代表速度として、複数の推定速度の平均値若しくは最小値を用いることができる。代表速度として、複数の車両のうち交差点に最も近い車両の推定速度、又は、複数の車両のうち自車両に最も近い車両の推定速度を用いてもよい。これにより、より適切な代表速度を決定でき、推奨速度の適否をより適切に判定できる。 In addition, the traffic information generation unit 206 drives the vehicle between the vehicle and the intersection in the same direction as the vehicle based on the dynamic information (for example, the position and moving speed of the dynamic object) at the intersection and around the intersection. An estimated speed after a predetermined time (for example, t seconds) may be estimated for each of a plurality of vehicles that are connected to each other, and a representative speed may be determined from the estimated speed. For example, an average value or minimum value of a plurality of estimated speeds can be used as the representative speed. As the representative speed, the estimated speed of the vehicle closest to the intersection among the plurality of vehicles or the estimated speed of the vehicle closest to the own vehicle among the plurality of vehicles may be used. This makes it possible to determine a more appropriate representative speed and more appropriately determine whether the recommended speed is appropriate.
 なお、車両102a及び交差点910の間に、車両102aの走行に影響する車両が1台も存在しない場合もある。そのような場合には、代表速度は、車両102aが走行中の道路の法定速度とする。各道路の法定速度は、道路地図に対応させてメモリ142に記憶されていればよい。記憶されていない道路に関しては、日本の場合、法定速度は60km/時(=16.7m/秒)であるので、その値を代表速度とすればよい。また、道路の幅、車線数等に基づいて、法定速度を推測した値を代表速度としてもよい。 Note that there may be cases where there is no vehicle between the vehicle 102a and the intersection 910 that affects the running of the vehicle 102a. In such a case, the representative speed is the legal speed of the road on which the vehicle 102a is traveling. The legal speed of each road should be stored in the memory 142 in association with the road map. For roads that are not stored, the legal speed limit in Japan is 60 km/h (=16.7 m/sec), so that value can be used as the representative speed. Also, a value obtained by estimating the legal speed based on the width of the road, the number of lanes, etc. may be used as the representative speed.
 推奨速度算出部208は、自車両の走行経路上に位置する交差点を、自車両が、信号機が現在の青色である間に通過するために、自車両が走行すべき速度(以下、推奨速度という)を算出する。具体的には、推奨速度算出部208は、制御部160から取得した自車両の現在位置と、記憶部200から読出した地図情報とを用いて、自車両の現在位置と交差点との距離L(図2参照)を算出する。なお、距離Lは、道路に沿った距離を意味する。距離Lは、自車両から交差点の中心までの距離に限らず、自車両から交差点の近傍(例えば停止線位置)までの距離であってもよい。また、推奨速度算出部208は、交差点に配置された信号機のうち、自車両が交差点に進入する方向の交通を制御する信号機(以下、特定信号機という)の信号情報を記憶部200から読出し、青色状態であれば、その残時間Δtを取得する。例えば、図2において、車両102aに関して、信号機106aが特定信号機である。推奨速度算出部208は、算出した距離Lを残時間Δtにより除して推奨速度Vr(=L/Δt)を算出する。推奨速度算出部208は、算出した推奨速度Vrを判定部210及び推奨速度補正部212に出力する。なお、後述するように推奨速度は補正され得るので、推奨速度算出部208から出力される推奨速度は仮の推奨速度と言える。特定信号機の青色の残時間を用いることにより、後述する判定部210により適否が判定される仮の推奨速度を容易に算出できる。 The recommended speed calculation unit 208 calculates the speed at which the vehicle should travel (hereinafter referred to as the recommended speed) in order to pass through an intersection located on the travel route of the vehicle while the traffic light is currently green. ) is calculated. Specifically, the recommended speed calculation unit 208 uses the current position of the vehicle acquired from the control unit 160 and the map information read from the storage unit 200 to calculate the distance L ( 2) is calculated. Note that the distance L means the distance along the road. The distance L is not limited to the distance from the vehicle to the center of the intersection, but may be the distance from the vehicle to the vicinity of the intersection (for example, the position of the stop line). In addition, the recommended speed calculation unit 208 reads from the storage unit 200 the signal information of a traffic signal (hereinafter referred to as a specific signal) that controls traffic in the direction in which the vehicle enters the intersection, among the traffic signals placed at the intersection. If so, the remaining time Δt is acquired. For example, in FIG. 2, for vehicle 102a, traffic light 106a is the specific traffic light. The recommended speed calculator 208 divides the calculated distance L by the remaining time Δt to calculate a recommended speed Vr (=L/Δt). Recommended speed calculation unit 208 outputs the calculated recommended speed Vr to determination unit 210 and recommended speed correction unit 212 . Since the recommended speed can be corrected as described later, the recommended speed output from the recommended speed calculator 208 can be said to be a provisional recommended speed. By using the remaining green time of the specific traffic light, it is possible to easily calculate a provisional recommended speed whose suitability is determined by the determination unit 210, which will be described later.
 信号情報は、例えば、信号機の位置情報、サイクル、スプリット、現在色、及び、現在色の経過時間を含む。サイクルは、信号機が青色、黄色、赤色と一巡する時間(例えば秒単位)を表す。スプリットは、1サイクルのうち、各現示(即ち、交差する各交通の流れに通行権が与えられる時間帯)に割当てられた時間配分(例えば%単位)を表す。例えば、直交する第1及び第2道路に関して、交通量がより多い第1道路の交通を制御する信号機と、交通量がより少ない第2道路の交通を制御する信号機とに対してそれぞれ、例えば60%及び40%のスプリットが設定される。第1道路の交通を制御する信号機が青色である場合、第2道路の交通を制御する信号機は赤色であり、両方の信号機のサイクルは同じであるので(即ち、黄色である時間は比較的短時間)、各信号機の青色の持続時間は、サイクル及びスプリットの乗算により算出できる。 Traffic light information includes, for example, traffic light position information, cycle, split, current color, and elapsed time of the current color. A cycle represents the time (eg, in seconds) that the traffic light cycles through green, yellow, and red. A split represents the time allocation (eg, in percent) assigned to each occurrence (ie, the time period during which each intersecting traffic flow is granted the right-of-way) during a cycle. For example, with respect to orthogonal first and second roads, for a traffic signal controlling traffic on the first road with the higher traffic volume and a traffic signal controlling traffic on the second road with the lower traffic volume, for example, 60 % and 40% splits are set. If the traffic light controlling traffic on the first road is blue, then the traffic light controlling traffic on the second road is red, and since the cycles of both traffic lights are the same (i.e., the yellow time is relatively short). time), the duration of the green color for each traffic light can be calculated by multiplying the cycles and splits.
 判定部210は、推奨速度算出部208から入力される推奨速度が適切であるか否かを判定する。この判定結果により、後述するように、自動運転における協調制御の可否が決まるので、この判定は、協調の可否判定とも言える。判定部210は、交通情報生成部206から入力される交通情報に基づいて、推奨速度算出部208から入力される推奨速度Vrの適否を判定する。交通情報生成部206から交通情報として、上記の代表速度が入力される場合、判定部210は、代表速度Vgから推奨速度Vrを減算して差分ΔVを算出し、差分ΔVに基づき推奨速度の適否を判定する。例えば、差分ΔVが0以上の所定値(例えば0km/時、5km/時等)以上であれば、自車両の前方を走行している車両群の速度は、推奨速度よりも所定値以上大きい(即ち速い)と期待できる。したがって、自車両の現在速度が推奨速度よりも小さければ、推奨速度まで加速しても支障は生ないと判断でき、判定部210は、推奨速度は適切である(即ち協調可能)と判定する。一方、差分ΔVが所定値よりも小さければ、自車両の前方を走行している車両の速度は、推奨速度と同程度(即ち、差が所定値未満)であるか、推奨速度よりも小さい(即ち遅い)ので、推奨速度まで加速すると支障が生じる。したがって、判定部210は、推奨速度は適切ではないと判定する。判定部210は、判定結果を推奨速度補正部212及び出力部214に出力する。判定結果は、例えば、適否を表す1ビットの情報(例えば、“1”であれば適切、“0”であれば不適切)である。 The determination unit 210 determines whether or not the recommended speed input from the recommended speed calculation unit 208 is appropriate. As will be described later, this determination result determines whether or not cooperative control is possible in automatic driving, so this determination can also be said to be a determination of whether or not cooperation is possible. Based on the traffic information input from the traffic information generation unit 206, the determination unit 210 determines whether the recommended speed Vr input from the recommended speed calculation unit 208 is appropriate. When the representative speed is input as traffic information from the traffic information generator 206, the determination unit 210 subtracts the recommended speed Vr from the representative speed Vg to calculate the difference ΔV, and determines whether the recommended speed is appropriate based on the difference ΔV. judge. For example, if the difference ΔV is equal to or greater than a predetermined value equal to or greater than 0 (eg, 0 km/h, 5 km/h, etc.), the speed of the vehicle group traveling in front of the host vehicle is greater than the recommended speed by a predetermined value or more ( (i.e., fast) can be expected. Therefore, if the current speed of the host vehicle is lower than the recommended speed, it can be determined that acceleration to the recommended speed will not cause any problems, and determination unit 210 determines that the recommended speed is appropriate (that is, cooperation is possible). On the other hand, if the difference ΔV is smaller than the predetermined value, the speed of the vehicle running in front of the host vehicle is approximately the same as the recommended speed (that is, the difference is less than the predetermined value) or smaller than the recommended speed ( slow), so accelerating to the recommended speed causes problems. Therefore, determination unit 210 determines that the recommended speed is not appropriate. The determination section 210 outputs the determination result to the recommended speed correction section 212 and the output section 214 . The determination result is, for example, 1-bit information indicating suitability (for example, "1" is appropriate, "0" is inappropriate).
 上記では、代表速度Vgから推奨速度Vrを減算した差分ΔVを用いたが、推奨速度Vrから代表速度Vgを減算した差分(即ち-ΔV)を用いてもよい。その場合には、差分(即ち-ΔV)の符号(即ち、正又は負)がΔVの符号とは逆になることを考慮して、上記と同様に推奨速度の適否を判定できる。また、推奨速度Vrと代表速度Vgとの差異を表すことができればよく、推奨速度Vrと代表速度Vgとの比率を用いて、推奨速度の適否を判定してもよい。 In the above, the difference ΔV obtained by subtracting the recommended speed Vr from the representative speed Vg is used, but the difference obtained by subtracting the representative speed Vg from the recommended speed Vr (that is, -ΔV) may be used. In that case, the adequacy of the recommended speed can be judged in the same manner as described above, considering that the sign (ie, positive or negative) of the difference (ie, -ΔV) is opposite to the sign of ΔV. Further, it is sufficient to express the difference between the recommended speed Vr and the representative speed Vg, and the adequacy of the recommended speed may be determined using the ratio between the recommended speed Vr and the representative speed Vg.
 上記においては、交通情報として1つの代表速度を用いる場合を説明したが、これに限定されない。代表速度の決定方法は、上記のように複数存在する。2つ以上の方法により代表速度を決定し、それらの組合せを用いて推奨速度の適否(即ち協調可否)を判定してもよい。また、交通情報は、自車両の交差点までの走行(交差点の通過を含む)に影響する動的物体に関する動的情報であればよい。 In the above, the case of using one representative speed as traffic information has been explained, but it is not limited to this. As described above, there are multiple methods for determining the representative speed. A representative speed may be determined by two or more methods, and a combination thereof may be used to determine whether the recommended speed is suitable (that is, whether cooperation is possible). Also, the traffic information may be dynamic information about a dynamic object that affects the vehicle's travel to the intersection (including passage through the intersection).
 推奨速度補正部212は、判定部210から入力される判定結果に基づいて、推奨速度算出部208から入力される推奨速度を適切な値に補正する、又は、推奨速度を維持する。推奨速度補正部212は、判定結果が1(即ち適切)であれば、推奨速度算出部208から入力される推奨速度をそのまま出力部214に出力する。一方、推奨速度補正部212は、判定結果が0(即ち不適切)であれば、交通情報生成部206から入力される交通情報(例えば代表速度)を考慮して、推奨速度算出部208から入力される推奨速度を適切な値に補正し、補正後の推奨速度を出力部214に出力する。例えば、推奨速度補正部212は、自車両の現在速度と代表速度との間の値に、新たな推奨速度を設定する。例えば、自車両の現在速度が代表速度よりも小さければ、代表速度まで加速できるが、代表速度は交差点を通過できる速度ではないので、現在速度を維持することが好ましい。即ち、現在速度を新たな推奨速度とする。自車両の現在速度が代表速度以上であれば、例えば、現在速度よりも小さい値(例えば代表速度)を新たな推奨速度とする。これにより、自車両は減速され得る。したがって、無駄な加速を効率的に抑制でき、適切な自動運転を実現できる。 Based on the determination result input from the determination unit 210, the recommended speed correction unit 212 corrects the recommended speed input from the recommended speed calculation unit 208 to an appropriate value or maintains the recommended speed. If the determination result is 1 (that is, appropriate), the recommended speed correction unit 212 outputs the recommended speed input from the recommended speed calculation unit 208 to the output unit 214 as it is. On the other hand, if the determination result is 0 (that is, inappropriate), the recommended speed correction unit 212 considers the traffic information (for example, the representative speed) input from the traffic information generation unit 206, and The corrected recommended speed is corrected to an appropriate value, and the corrected recommended speed is output to the output unit 214 . For example, the recommended speed correction unit 212 sets a new recommended speed to a value between the current speed of the host vehicle and the representative speed. For example, if the current speed of the host vehicle is lower than the representative speed, the vehicle can be accelerated to the representative speed. That is, the current speed is set as the new recommended speed. If the current speed of the own vehicle is equal to or higher than the representative speed, for example, a value smaller than the current speed (for example, the representative speed) is set as the new recommended speed. The own vehicle can thereby be decelerated. Therefore, useless acceleration can be efficiently suppressed, and appropriate automatic driving can be realized.
 出力部214は、推奨速度補正部212から入力される推奨速度を、バス132を介して自動運転ECUに出力する。また、出力部214は、判定部210から入力される判定結果に基づいて、記憶部200から交差点に配置された信号機の信号情報を取得して、バス132を介して自動運転ECUに出力する。即ち、出力部214は、判定結果が1(即ち適切)であれば、信号情報を自動運転ECUに出力する。これにより、推奨速度及び信号情報を用いて、自車両の走行の協調制御が可能となり、適切な自動運転が実現される。一方、出力部214は、判定結果が0(即ち不適切)であれば、信号情報を自動運転ECUに出力しない。この場合、自車両は、交差点の手前において停止することになる可能性が高いので、交差点の信号情報は不要である。これにより、自動運転ECU126の負荷を軽減できる。なお、出力部214は、自車両の前方を走行している他車両から取得した動的情報を、判定部210から入力される判定結果によらず、自動運転ECUに出力する。 The output unit 214 outputs the recommended speed input from the recommended speed correction unit 212 to the automatic driving ECU via the bus 132 . The output unit 214 also acquires the signal information of the traffic lights arranged at the intersection from the storage unit 200 based on the determination result input from the determination unit 210, and outputs the signal information to the automatic driving ECU via the bus 132. That is, the output unit 214 outputs the signal information to the automatic driving ECU if the determination result is 1 (that is, appropriate). As a result, using the recommended speed and signal information, it becomes possible to perform cooperative control of the running of the own vehicle, and appropriate automatic driving is realized. On the other hand, if the determination result is 0 (that is, inappropriate), the output unit 214 does not output the signal information to the automatic driving ECU. In this case, there is a high possibility that the own vehicle will stop before the intersection, so the signal information of the intersection is unnecessary. Thereby, the load on the automatic driving ECU 126 can be reduced. Note that the output unit 214 outputs dynamic information acquired from other vehicles traveling in front of the own vehicle to the automatic driving ECU regardless of the determination result input from the determination unit 210 .
 以上により、推奨速度が適切であれば、推奨速度が自動運転ECUに出力され、自車両は、例えば加速することにより、特定信号機が現在の青色である間に、交差点を通過できる可能性が高い。このとき、信号情報及び動的情報が自動運転ECUに提供され、自動運転における協調制御が実行される。したがって、自動運転ECUにより、自車両が交差点に至る間、及び交差点を走行する間において、自車両の周囲に関する動的情報が使用されて、安全且つ適切な走行が可能になる。一方、推奨速度が不適切であれば、特定信号機が現在の青色である間に、交差点を通過できない可能性が高いので、推奨速度が現在速度と代表速度の間の値に設定され、不適切な推奨速度が提供されることによる無駄な加速が抑制される。 From the above, if the recommended speed is appropriate, the recommended speed is output to the automatic driving ECU, and the vehicle is likely to be able to pass the intersection while the specific traffic light is currently in blue, for example by accelerating. . At this time, signal information and dynamic information are provided to the automatic driving ECU, and cooperative control in automatic driving is executed. Thus, the autonomous driving ECU uses dynamic information about the ego-vehicle's surroundings while the e-vehicle reaches and navigates the intersection to enable safe and appropriate driving. On the other hand, if the recommended speed is inappropriate, there is a high possibility that the intersection cannot be passed while the specific traffic light is currently green. Useless acceleration due to provision of an appropriate recommended speed is suppressed.
 例えば、図2を参照して、交差点910において、特定信号機である信号機106aの青色の残時間が十分あり、信号機106aが現在の青色である間に交差点910に到達できるとしても、推奨速度を算出した時点で、図6又は図7に示す交通状況であれば、算出された推奨速度は適切ではない。図6においては、交差点910において、右折しようとする車両102bは、対向する車両102e及び歩行者900aのために停止しており、後続の3台の車両も停止している。このような交通状況であれば、車両102aは交差点910の手前において停止する可能性が高い。また、図7においては、交差点910においてはスムーズな交通状態であり、車両群の先頭車両である車両102bは支障なく走行できている。しかし、交差点910に至る道路において大型の車両102f(例えばバス)が停車しており、車両102g等の対向車も走行しているために、車両102fの後続車両は停車している。このような交通状況であれば、車両102aは車両102fの後ろにおいて停止する可能性が高い。図6又は図7に示すような交通状況であれば、信号機106aが現在の青色である間に交差点910を通過できない可能性が高い。したがって、車両102aの車載ゲートウェイ122が上記のように機能することにより、車両102aは無駄な加速を抑制し、現在速度を維持する、又は、減速することが可能になる。 For example, referring to FIG. 2, at an intersection 910, even if the traffic light 106a, which is a specific traffic light, has a sufficient amount of remaining green time, and the intersection 910 can be reached while the traffic light 106a is currently green, the recommended speed is calculated. If the traffic conditions shown in FIG. 6 or FIG. 7 are present at the point in time, the calculated recommended speed is not appropriate. In FIG. 6, at an intersection 910, the vehicle 102b about to turn right has stopped because of the oncoming vehicle 102e and the pedestrian 900a, and the following three vehicles have also stopped. Under such traffic conditions, the vehicle 102a is likely to stop before the intersection 910. FIG. Further, in FIG. 7, the traffic condition is smooth at the intersection 910, and the vehicle 102b, which is the leading vehicle of the vehicle group, can run without any trouble. However, a large vehicle 102f (for example, a bus) is stopped on the road leading to the intersection 910, and an oncoming vehicle such as the vehicle 102g is also running, so the following vehicle of the vehicle 102f is stopped. Under such traffic conditions, the vehicle 102a is likely to stop behind the vehicle 102f. Under the traffic conditions shown in FIG. 6 or 7, it is highly likely that the vehicle cannot pass through the intersection 910 while the traffic light 106a is currently green. Therefore, the in-vehicle gateway 122 of the vehicle 102a functions as described above, so that the vehicle 102a can suppress unnecessary acceleration and maintain the current speed or decelerate.
 判定部210は、推奨速度の適否を判定するときに、自車両が走行している道路の法定速度を考慮することが好ましい。法定速度を超える速度を推奨速度とすることは好ましくないので、判定部210は、推奨速度が上記した条件(即ち、代表速度Vgから推奨速度Vrを減算して得られた差分ΔVが0以上の所定値以上)を満たしていても、適切でないと判定する。なお、車両群の殆どの車両は法定速度を守って走行している(即ち、代表速度≦法定速度)と期待できるので、上記のように代表速度を用いることにより、法定速度が考慮されているとも言える。 The determination unit 210 preferably considers the legal speed of the road on which the vehicle is traveling when determining whether the recommended speed is appropriate. Since it is not preferable to set a speed exceeding the legal speed as the recommended speed, the determination unit 210 determines that the recommended speed meets the above-described conditions (i.e., the difference ΔV obtained by subtracting the recommended speed Vr from the representative speed Vg is 0 or more). a predetermined value or more), it is determined to be inappropriate. Most of the vehicles in the vehicle group can be expected to travel at legal speeds (i.e., representative speed ≤ legal speed). It can also be said.
 なお、推奨速度補正部212はなくてもよい。その場合、推奨速度算出部208から出力される推奨速度を出力部214にも入力する。出力部214は、判定部210から入力される判定結果を自動運転ECUに出力し、判定結果が1(即ち適切)である場合にのみ、推奨速度算出部208から入力される推奨速度を自動運転ECUに出力する。即ち、判定結果が0(即ち不適切)であれば、推奨速度算出部208から入力される推奨速度を自動運転ECUに出力せずに、破棄する。この場合にも、適切である推奨速度のみが提供されるので、不適切な推奨速度が提供されることによる無駄な加速を抑制できる。 Note that the recommended speed correction unit 212 may be omitted. In that case, the recommended speed output from the recommended speed calculation unit 208 is also input to the output unit 214 . The output unit 214 outputs the determination result input from the determination unit 210 to the automatic driving ECU, and only when the determination result is 1 (that is, appropriate), the recommended speed input from the recommended speed calculation unit 208 is used for automatic driving. Output to ECU. That is, if the determination result is 0 (that is, inappropriate), the recommended speed input from the recommended speed calculation unit 208 is discarded without being output to the automatic driving ECU. In this case as well, only appropriate recommended speeds are provided, so unnecessary acceleration due to provision of inappropriate recommended speeds can be suppressed.
 [車載ゲートウェイの動作]
 図8及び図9を参照して、車載ゲートウェイ122による処理に関して、図5に示した機能を参照しつつ、より具体的に説明する。図8及び図9に示した処理は、図4の制御部140が、それぞれに対応するプログラムをメモリ142から読出して、並列に実行することにより実現される。
[In-vehicle gateway operation]
8 and 9, the processing by the in-vehicle gateway 122 will be described more specifically with reference to the functions shown in FIG. The processes shown in FIGS. 8 and 9 are implemented by control unit 140 in FIG. 4 reading corresponding programs from memory 142 and executing them in parallel.
 図8を参照して、ステップ300において、制御部140は、通信部120により受信したデータをメモリ142に記憶する。受信データには、インフラセンサ110及び他の車両102bから送信されるセンサデータ、動的情報、及び、信号機106から送信される信号情報が含まれる。 Referring to FIG. 8, at step 300, control unit 140 stores data received by communication unit 120 in memory 142. FIG. The received data includes sensor data transmitted from infrastructure sensors 110 and other vehicles 102 b , dynamic information, and signal information transmitted from traffic lights 106 .
 ステップ302において、制御部140は、動的地図を更新するタイミングになったか否かを判定する。更新するタイミングになったと判定された場合、制御はステップ304に移行する。そうでなければ、制御はステップ308に移行する。 At step 302, the control unit 140 determines whether or not it is time to update the dynamic map. If it is determined that it is time to update, control proceeds to step 304 . Otherwise control passes to step 308 .
 ステップ304において、制御部140は、動的情報を用いて、メモリ142に記憶されている動的地図を更新する。これは、上記した動的地図生成部204(図5参照)の機能に対応する。その後、制御はステップ306に移行する。 At step 304, the control unit 140 updates the dynamic map stored in the memory 142 using the dynamic information. This corresponds to the function of the dynamic map generator 204 (see FIG. 5) described above. Control then passes to step 306 .
 ステップ306において、制御部140は、動的地図を解析し、協調可否判定に用いる交通情報を生成し、メモリ142に記憶する。これは、上記した交通情報生成部206(図5参照)の機能に対応する。上記したように、協調可否判定は、推奨速度の適否を判定することにより成される。その後、制御はステップ308に移行する。 At step 306 , the control unit 140 analyzes the dynamic map, generates traffic information used for judging whether cooperation is possible, and stores it in the memory 142 . This corresponds to the function of the traffic information generator 206 (see FIG. 5) described above. As described above, the determination of whether cooperation is possible is made by determining whether the recommended speed is appropriate. Control then passes to step 308 .
 ステップ308において、制御部140は、終了の指示を受けたか否かを判定する。終了の指示を受けたと判定された場合、本プログラムは終了する。そうでなければ、制御はステップ300に戻り、上記の処理が繰返される。終了の指示は、例えば、車両102aに搭載されている電源がオフされることにより成される。 At step 308, the control unit 140 determines whether or not an end instruction has been received. If it is determined that an end instruction has been received, this program ends. Otherwise, control returns to step 300 and the above process is repeated. The end instruction is made, for example, by turning off a power supply mounted on the vehicle 102a.
 これにより、車載ゲートウェイ122は、所定のタイミングにおいて動的地図を繰返し更新し、図9に示した処理中に使用される交通情報を生成できる。 This allows the in-vehicle gateway 122 to repeatedly update the dynamic map at predetermined timings and generate the traffic information used during the processing shown in FIG.
 図9を参照して、ステップ400において、制御部140は、通信部120により信号情報を受信したか否かを判定する。通信部120は、信号情報を、図1の基地局108を介して、又は、信号機106から直接に(例えば、光ビーコン、無線LAN等により)受信する。信号情報を受信したと判定された場合、制御はステップ402に移行する。そうでなければ、制御はステップ416に移行する。 With reference to FIG. 9, at step 400, control unit 140 determines whether signal information has been received by communication unit 120 or not. The communication unit 120 receives signal information via the base station 108 of FIG. 1 or directly from the traffic light 106 (for example, by optical beacon, wireless LAN, etc.). If it is determined that signaling information has been received, control proceeds to step 402 . Otherwise control passes to step 416 .
 ステップ402において、制御部140は、推奨速度を算出するか否かを判定する。制御部140は、ステップ400により受信した信号情報が、自車両に関する特定信号機(例えば、図2の信号機106a)が青色であることを表す情報(例えば、現在色=青色)を含む場合、推奨速度を算出すると判定する。そうでなければ(即ち、特定信号機が赤色又は黄色である場合)、推奨速度を算出しないと判定する。特定信号機は、信号機の位置情報及び道路地図から特定できる。推奨速度を算出すると判定された場合、制御はステップ404に移行する。そうでなければ、制御はステップ418に移行する。 At step 402, the control unit 140 determines whether or not to calculate the recommended speed. If the signal information received in step 400 includes information indicating that the specific traffic light (eg, the traffic light 106a in FIG. 2) related to the host vehicle is blue (eg, current color=blue), the controller 140 sets the recommended speed is calculated. Otherwise (that is, when the specific traffic light is red or yellow), it is determined that the recommended speed is not calculated. A specific traffic light can be identified from the location information of the traffic light and the road map. If it is determined to calculate the recommended speed, control proceeds to step 404 . Otherwise control passes to step 418 .
 なお、特定信号機の青色の残時間が所定時間(例えば5秒)以上である場合に、推奨速度を算出すると判定してもよい。青色の残時間が短ければ、すぐに黄色又は赤色に変わるので、推奨速度を算出しても無駄になる。これにより、適切でないと判定される推奨速度の算出を回避でき、処理負荷を軽減できるので好ましい。また、青色の残時間に代えて、青色の残時間と、それに続く黄色の時間との合計時間を用いて推奨速度を算出してもよい。 It should be noted that it may be determined that the recommended speed is calculated when the remaining blue time of the specific traffic light is equal to or longer than a predetermined time (for example, 5 seconds). If the remaining blue time is short, it will turn yellow or red quickly, so calculating the recommended speed is useless. This is preferable because it is possible to avoid calculating a recommended speed that is determined to be inappropriate, and to reduce the processing load. Alternatively, instead of the remaining blue time, the recommended speed may be calculated using the total time of the remaining blue time and the subsequent yellow time.
 ステップ404において、制御部140は、特定信号機の青色の残時間Δtを算出する。例えば、制御部140は、ステップ400により受信した信号情報から、特定信号機に関して、青色の持続時間、現在色の経過時間(例えば、青色の経過時間)を用いて、青色が維持される残時間を算出する。青色の持続時間は、上記したようにサイクル及びスプリットから算出できる。その後、制御はステップ406に移行する。 At step 404, the control unit 140 calculates the remaining blue time Δt of the specific traffic light. For example, from the signal information received in step 400, the control unit 140 uses the duration of blue color and the elapsed time of the current color (e.g., the elapsed time of blue) for the specific traffic light to determine the remaining time for which blue is maintained. calculate. The blue duration can be calculated from cycles and splits as described above. Control then passes to step 406 .
 ステップ406において、制御部140は、自車両の現在位置から交差点910までの距離を算出する。具体的には、メモリ142から地図情報を読出し、該当する距離Lを算出する。その後、制御はステップ408に移行する。 At step 406 , the control unit 140 calculates the distance from the current position of the vehicle to the intersection 910 . Specifically, the map information is read from the memory 142 and the corresponding distance L is calculated. Control then passes to step 408 .
 ステップ408において、制御部140は、ステップ406により算出した距離Lを、ステップ404により算出した残時間Δtにより除して推奨速度Vrを算出する。その後、制御はステップ410に移行する。ステップ404からステップ408の処理は、上記した推奨速度算出部208(図5参照)の機能に対応する。 At step 408, the control unit 140 divides the distance L calculated at step 406 by the remaining time Δt calculated at step 404 to calculate the recommended speed Vr. Control then passes to step 410 . The processing from step 404 to step 408 corresponds to the function of the recommended speed calculator 208 (see FIG. 5) described above.
 ステップ410において、制御部140は、自車両と交差点の間に位置する車両群の代表速度Vgから推奨速度Vrを減算して、差分ΔV(=Vg-Vr)を算出する。その後、制御はステップ412に移行する。ステップ410及び後述のステップ412の処理は、上記した判定部210(図5参照)の機能に対応する。 At step 410, the control unit 140 subtracts the recommended speed Vr from the representative speed Vg of the vehicle group positioned between the host vehicle and the intersection to calculate the difference ΔV (=Vg−Vr). Control then passes to step 412 . The processes of step 410 and step 412 described later correspond to the function of the determination unit 210 (see FIG. 5) described above.
 ステップ412において、制御部140は、ステップ410により算出された差分ΔVに基づいて、ステップ408により算出された推奨速度Vrが適切であるか否かを判定する。例えば、差分ΔVが所定値以上であれば、制御部140は、推奨速度Vrは適切である(即ち協調可能)と判定する。一方、差分ΔVが所定値よりも小さければ、制御部140は、推奨速度Vrは適切ではないと判定する。推奨速度Vrが適切であると判定された場合、制御はステップ414に移行する。そうでなければ、制御はステップ418に移行する。 At step 412, the control unit 140 determines whether or not the recommended speed Vr calculated at step 408 is appropriate based on the difference ΔV calculated at step 410. For example, if the difference ΔV is greater than or equal to a predetermined value, the control unit 140 determines that the recommended speed Vr is appropriate (that is, cooperation is possible). On the other hand, if difference ΔV is smaller than the predetermined value, control unit 140 determines that recommended speed Vr is not appropriate. If recommended speed Vr is determined to be appropriate, control proceeds to step 414 . Otherwise control passes to step 418 .
 ステップ414において、制御部140は、ステップ408により算出された推奨速度Vrを、バス132を介して自動運転ECU126に出力する。また、制御部140は、信号情報を自動運転ECU126に出力する。その後、制御はステップ416に移行する。これにより、自動運転ECU126は、推奨速度及び信号情報を用いて、車両102aの走行を自動的に制御する。 At step 414 , the control unit 140 outputs the recommended speed Vr calculated at step 408 to the automatic driving ECU 126 via the bus 132 . Moreover, the control part 140 outputs signal information to automatic operation ECU126. Control then passes to step 416 . Thereby, the automatic driving ECU 126 automatically controls the running of the vehicle 102a using the recommended speed and signal information.
 ステップ416において、制御部140は、終了の指示を受けたか否かを判定する。終了の指示を受けたと判定された場合、本プログラムは終了する。そうでなければ、制御はステップ400に戻り、上記の処理が繰返される。終了の指示は、例えば、車両102aに搭載されている電源がオフされることにより成される。 At step 416, the control unit 140 determines whether or not an end instruction has been received. If it is determined that an end instruction has been received, this program ends. Otherwise, control returns to step 400 and the above process is repeated. The end instruction is made, for example, by turning off a power supply mounted on the vehicle 102a.
 ステップ402又はステップ412による判定結果がNOであれば、ステップ418において、制御部140は、自車両の現在速度が代表速度以下であるか否かを判定する。自車両の現在速度が代表速度以下であると判定された場合、制御はステップ420に移行する。そうでなければ、制御はステップ422に移行する。 If the determination result in step 402 or step 412 is NO, in step 418 the control unit 140 determines whether the current speed of the host vehicle is equal to or less than the representative speed. If it is determined that the current speed of the host vehicle is equal to or less than the representative speed, control proceeds to step 420 . Otherwise control passes to step 422 .
 ステップ420において、制御部140は、自車両の現在速度を推奨速度とする。これにより、ステップ408により推奨速度が算出されていても、その推奨速度は自車両の現在速度により置き換えられる。これは、信号機106aが現在の青色である間に、車両102aが交差点910を通過できず、交差点910の手前において停止する可能性が高いので、車両102aに無駄な加速をさせないためである。その後、制御はステップ424に移行する。 At step 420, the control unit 140 sets the current speed of the own vehicle as the recommended speed. As a result, even if the recommended speed has been calculated in step 408, the recommended speed is replaced with the current speed of the host vehicle. This is to prevent unnecessary acceleration of the vehicle 102a because the vehicle 102a cannot pass the intersection 910 and is likely to stop before the intersection 910 while the traffic light 106a is currently green. Control then passes to step 424 .
 ステップ422において、制御部140は、自車両の現在速度よりも小さい値(以下、減速速度という)を推奨速度とする。これにより、ステップ408により推奨速度が算出されていても、その推奨速度は減速速度により置き換えられる。これは、上記と同様に、車両102aが交差点910の手前において停止する可能性が高いので、車両102aに無駄な加速をさせないためであり、さらに、現在速度が自車両の前方を走行している車両群の速度よりも速いので、事前に減速させるためでもある。その後、制御はステップ424に移行する。ステップ418からステップ422の処理は、上記した推奨速度補正部212(図5参照)の機能に対応する。 At step 422, the control unit 140 sets a value smaller than the current speed of the host vehicle (hereinafter referred to as deceleration speed) as the recommended speed. As a result, even if the recommended speed has been calculated in step 408, the recommended speed is replaced with the deceleration speed. This is to prevent unnecessary acceleration of the vehicle 102a because there is a high possibility that the vehicle 102a will stop before the intersection 910 as in the above. This is also to decelerate in advance, as it is faster than the speed of the vehicle group. Control then passes to step 424 . The processing from step 418 to step 422 corresponds to the function of the recommended speed correction unit 212 (see FIG. 5) described above.
 ステップ424において、制御部140は、ステップ420又はステップ422により決定された推奨速度を、バス132を介して自動運転ECU126に出力する。その後、制御はステップ416に移行する。これにより、自動運転ECU126は、推奨速度を用いて、車両102aの走行を自動的に制御する。これにより、車両102aは無駄に加速することなく、交差点910の手前において停止できる。 At step 424 , the control unit 140 outputs the recommended speed determined at step 420 or step 422 to the automatic driving ECU 126 via the bus 132 . Control then passes to step 416 . Thereby, the automatic driving ECU 126 automatically controls the running of the vehicle 102a using the recommended speed. As a result, the vehicle 102a can stop before the intersection 910 without unnecessary acceleration.
 以上により、推奨速度が適切であれば、推奨速度が自動運転ECUに出力され、自車両は、例えば加速することにより、特定信号機が現在の青色である間に、交差点を通過できる可能性が高い。ステップ414により、例えば、車両102aは推奨速度まで加速し、信号機106aが現在の青色である間に交差点910を通過できる。このとき、信号情報が自動運転ECUに提供され、自動運転における協調制御が実行される。また、動的情報が自動運転ECUに提供されると、自車両が交差点に至る間、及び交差点を走行する間において、自車両の周囲に関する動的情報が使用されて、安全且つ適切な走行が可能になる。一方、推奨速度が不適切であれば、特定信号機が現在の青色である間に、交差点を通過できない可能性が高いので、ステップ420又はステップ422により、推奨速度が現在速度又は減速速度に設定され、無駄な加速が抑制される。 From the above, if the recommended speed is appropriate, the recommended speed is output to the automatic driving ECU, and the vehicle is likely to be able to pass the intersection while the specific traffic light is currently in blue, for example by accelerating. . Step 414 allows, for example, vehicle 102a to accelerate to the recommended speed and pass intersection 910 while traffic light 106a is currently green. At this time, signal information is provided to the automatic driving ECU, and cooperative control in automatic driving is executed. In addition, when the dynamic information is provided to the autonomous driving ECU, the dynamic information about the vehicle's surroundings is used while the vehicle reaches and travels through the intersection to ensure safe and appropriate driving. be possible. On the other hand, if the recommended speed is inappropriate, it is likely that the intersection cannot be passed while the particular traffic light is currently green, so step 420 or step 422 sets the recommended speed to the current speed or deceleration speed. , useless acceleration is suppressed.
 図2、図6及び図7は、片側1車線である道路が交差している交差点910における交通状況を示しているが、これに限定されない。運転支援システム100は、例えば、図10に示すように、片側2車線以上の道路が交差している交差点912における交通状況にも対応可能である。例えば、車両102h、車両102i及び車両102jのいずれかが自車両であるとすれば、自車両と交差点912との間に位置する車両群116の代表速度を用いて、推奨速度の適否を判定すればよい。また、車両群116の車両のうち、自車両が走行している車線を走行している複数の車両を車両群として、その代表速度を用いて推奨速度の適否を判定してもよい。また、例えば、カーナビゲーションシステムに目的地が設定されており、交差点912をどの方向に走行するかが決定されている場合、車両群116の車両のうち、自車両が走行予定の車線を走行している複数の車両を車両群として、その代表速度を用いて推奨速度の適否を判定すればよい。  Figures 2, 6 and 7 show traffic conditions at an intersection 910 where roads with one lane each way intersect, but are not limited to this. For example, as shown in FIG. 10, the driving support system 100 can cope with traffic conditions at an intersection 912 where roads with two or more lanes on each side intersect. For example, if one of the vehicle 102h, the vehicle 102i, and the vehicle 102j is the own vehicle, the representative speed of the vehicle group 116 positioned between the own vehicle and the intersection 912 is used to determine whether the recommended speed is appropriate. Just do it. Alternatively, a plurality of vehicles in the vehicle group 116 that are traveling in the lane in which the host vehicle is traveling may be regarded as a vehicle group, and their representative speeds may be used to determine whether the recommended speed is appropriate. Further, for example, when the destination is set in the car navigation system and the direction of travel at the intersection 912 is determined, the vehicle of the vehicle group 116 may travel in the lane in which it is scheduled to travel. It is sufficient to determine whether or not the recommended speed is appropriate using the representative speed of a group of vehicles that are in the same vehicle.
(第1変形例)
 上記においては、図3に示したように、車載システム104aに標準装備された車載装置である車載ゲートウェイ122が、推奨速度の適否を判定する処理を実行する場合を説明したが、これに限定されない。第1変形例においては、車載システムに標準装備されず、後から装着(即ち車載)され得る装置により、推奨速度の適否を判定する処理が実行される。
(First modification)
In the above description, as shown in FIG. 3, the case where the in-vehicle gateway 122, which is an in-vehicle device standardly installed in the in-vehicle system 104a, executes the process of determining whether the recommended speed is appropriate or not has been described, but the present invention is not limited to this. . In the first modified example, the process of determining whether the recommended speed is appropriate is executed by a device that is not standard equipment in the in-vehicle system and that can be installed later (in other words, in-vehicle).
 図11を参照して、車両に搭載された車載システム150は、通信部120、車載ゲートウェイ154、センサ124、自動運転ECU126、ECU128、並びに、バス130及びバス132を含む。車載システム150には、標準装備ではなく、後から装着された拡張装置152が装着されている。図11において、図3と同じ符号を付した構成要素は、図3と同じ機能を有する。以下においては、異なる構成要素である拡張装置152及び車載ゲートウェイ154に関して説明する。 Referring to FIG. 11, an in-vehicle system 150 installed in a vehicle includes a communication unit 120, an in-vehicle gateway 154, a sensor 124, an automatic driving ECU 126, an ECU 128, and a bus 130 and a bus 132. The in-vehicle system 150 is equipped with an extension device 152 that is not standard equipment but is attached later. In FIG. 11, constituent elements with the same reference numerals as in FIG. 3 have the same functions as in FIG. In the following, different components, the expansion device 152 and the in-vehicle gateway 154 will be described.
 図12を参照して、拡張装置152は制御部160及びメモリ162を含む。制御部160は、CPUを含んで構成されており、メモリ162を制御する。メモリ162は、例えば、書換可能な不揮発性の半導体メモリであり、制御部160が実行するプログラムを記憶している。メモリ162は、制御部160が実行するプログラムのワーク領域を提供する。制御部160は、処理対象のデータを、バス130を介して取得し、処理結果をメモリ162に記憶し、適宜バス130にも出力する。拡張装置152は、図3に示した車載ゲートウェイ122と同じ機能、即ち図5に示した機能を有する。 With reference to FIG. 12, expansion device 152 includes control unit 160 and memory 162 . The control unit 160 includes a CPU and controls the memory 162 . The memory 162 is, for example, a rewritable non-volatile semiconductor memory, and stores programs executed by the control unit 160 . Memory 162 provides a work area for programs executed by control unit 160 . The control unit 160 acquires data to be processed via the bus 130, stores the processing results in the memory 162, and outputs them to the bus 130 as appropriate. The expansion device 152 has the same functions as the in-vehicle gateway 122 shown in FIG. 3, namely the functions shown in FIG.
 拡張装置152は、通信部120が受信したデータ(例えば、信号情報、自車両及び他車両の情報(例えば位置、速度、走行方向)、動的情報、並びに、センサデータ等)を、バス130を介して取得できる。車載ゲートウェイ154は、車載ゲートウェイ122と異なり、図5に示した機能を有していない。車載ゲートウェイ154は、センサ124からバス132に出力されるセンサデータを、バス130を介して拡張装置152に伝送する。車載ゲートウェイ154は、自車両を走行させるための駆動部から自車両の速度を取得して、バス130を介して拡張装置152に伝送する。また、車載ゲートウェイ154は、拡張装置152からバス130に出力されるデータを、バス132を介して自動運転ECU126に伝送する。これにより、拡張装置152は、車載システム150が搭載された車両の推奨速度を算出し、その適否を判定し、適切であればそのまま推奨速度を自動運転ECU126に伝送できる。その場合、拡張装置152は、信号情報及び動的情報も自動運転ECU126に伝送する。拡張装置152は、推奨速度が不適切であれば、推奨速度をより小さい値(例えば、現在速度と代表速度の間の値)に補正して自動運転ECU126に伝送する。 The expansion device 152 transmits data received by the communication unit 120 (e.g., signal information, information on own vehicle and other vehicles (e.g., position, speed, direction of travel), dynamic information, sensor data, etc.) to the bus 130. can be obtained through In-vehicle gateway 154 does not have the functions shown in FIG. 5, unlike in-vehicle gateway 122 . In-vehicle gateway 154 transmits sensor data output from sensor 124 to bus 132 to expansion device 152 via bus 130 . The in-vehicle gateway 154 acquires the speed of the vehicle from the driving unit for driving the vehicle, and transmits it to the expansion device 152 via the bus 130 . In-vehicle gateway 154 also transmits data output from expansion device 152 to bus 130 to automatic driving ECU 126 via bus 132 . As a result, the expansion device 152 can calculate the recommended speed of the vehicle in which the in-vehicle system 150 is mounted, determine whether it is appropriate, and transmit the recommended speed to the automatic driving ECU 126 as it is if it is appropriate. In that case, the expansion device 152 also transmits signal information and dynamic information to the autonomous driving ECU 126 . If the recommended speed is inappropriate, the expansion device 152 corrects the recommended speed to a smaller value (for example, a value between the current speed and the representative speed) and transmits it to the automatic driving ECU 126 .
 したがって、推奨速度が適切であれば、推奨速度が自動運転ECUに出力され、自車両は、例えば加速することにより、特定信号機が現在の青色である間に、交差点を通過できる可能性が高い。このとき、信号情報及び動的情報が自動運転ECUに提供され、自動運転における協調制御が実行される。したがって、自動運転ECUにより、自車両が交差点に至る間、及び交差点を走行する間において、自車両の周囲に関する動的情報が使用されて、安全且つ適切な走行が可能になる。一方、推奨速度が不適切であれば、自車両は特定信号機が現在の青色である間に、交差点を通過できない可能性が高いので、推奨速度が現在速度と代表速度の間の値に設定され、不適切な推奨速度が提供されることによる無駄な加速が抑制される。 Therefore, if the recommended speed is appropriate, the recommended speed will be output to the autonomous driving ECU, and there is a high possibility that the vehicle will be able to pass the intersection while the specific traffic light is currently green, for example by accelerating. At this time, signal information and dynamic information are provided to the automatic driving ECU, and cooperative control in automatic driving is executed. Thus, the autonomous driving ECU uses dynamic information about the ego-vehicle's surroundings while the e-vehicle reaches and navigates the intersection to enable safe and appropriate driving. On the other hand, if the recommended speed is inappropriate, there is a high possibility that the vehicle cannot pass the intersection while the specific traffic light is currently green, so the recommended speed is set to a value between the current speed and the representative speed. , unnecessary acceleration due to provision of an inappropriate recommended speed is suppressed.
(第2変形例)
 上記においては、車両に搭載される装置(即ち、車載ゲートウェイ122又は拡張装置152)により、推奨速度の適否を判定する処理を実行する場合を説明したが、これに限定されない。第2変形例においては、サーバコンピュータ(以下、サーバという)が、車両の推奨速度を算出し、その適否を判定する処理を実行する。
(Second modification)
In the above description, a case where a device mounted on the vehicle (that is, the vehicle-mounted gateway 122 or the expansion device 152) executes processing for determining whether the recommended speed is appropriate has been described, but the present invention is not limited to this. In the second modified example, a server computer (hereinafter referred to as a server) calculates the recommended speed of the vehicle and executes the process of judging its propriety.
 図13を参照して、第2変形例に係る運転支援システム170は、複数の車両102a及び車両102bにそれぞれ搭載された車載システム104a及び車載システム104bと、サーバ172とを含む。運転支援システム170は、図1に示した運転支援システム100に、サーバ172が追加されたものである。図13に示したサーバ172以外の構成要素は、図1と同じである。但し、車載システム104a及び車載システム104bは、図5に示した機能を有していなくてもよい。 With reference to FIG. 13 , a driving support system 170 according to the second modification includes an in-vehicle system 104 a and an in-vehicle system 104 b installed in a plurality of vehicles 102 a and 102 b, respectively, and a server 172 . A driving support system 170 is obtained by adding a server 172 to the driving support system 100 shown in FIG. Components other than the server 172 shown in FIG. 13 are the same as in FIG. However, the in-vehicle system 104a and the in-vehicle system 104b may not have the functions shown in FIG.
 サーバ172は、制御部、メモリ及び通信部を含み、図5に示した機能を実現する。サーバ172は、内部の通信部により基地局108及びネットワーク112を介して、車載システム104a及び車載システム104b、信号機106、並びにインフラセンサ110と通信する。サーバ172は、車載システム104a及び車載システム104bから車両情報及びセンサデータを受信し、インフラセンサ110からセンサデータを受信する。サーバ172は、信号機106から信号情報を受信する。 The server 172 includes a control unit, memory and communication unit, and implements the functions shown in FIG. Server 172 communicates with in-vehicle system 104a and in-vehicle system 104b, traffic light 106, and infrastructure sensor 110 via base station 108 and network 112 by an internal communication unit. The server 172 receives vehicle information and sensor data from the in-vehicle system 104 a and the in-vehicle system 104 b and receives sensor data from the infrastructure sensor 110 . Server 172 receives signal information from traffic light 106 .
 これにより、サーバ172は、制御部、メモリ及び通信部により、図5に示した機能を実現できる。サーバ172は、特定の車両(例えば、車両102a又は車両102b)に関して、推奨速度を算出し、その推奨速度の適否を判定し、適切であればそのまま、特定の車両に搭載された車載システムに送信する。サーバ172は、推奨速度が不適切であれば、推奨速度を補正して、特定の車両に搭載された車載システムに送信する。これにより、補正後の推奨速度を受信した特定の車両は、補正後の推奨速度を自動運転ECUに提供することにより、無駄な加速を抑制できる。また、サーバ172は、推奨速度が適切であれば、推奨速度に加えて信号情報を特定の車両に送信する。これにより、特定の車両は、推奨速度信号情報を自動運転ECUに提供することにより、自車両の走行の協調制御が可能となり、適切な自動運転を実現できる。 As a result, the server 172 can implement the functions shown in FIG. 5 by means of the control unit, memory, and communication unit. The server 172 calculates a recommended speed for a specific vehicle (eg, vehicle 102a or vehicle 102b), determines whether the recommended speed is appropriate, and if appropriate, transmits the recommended speed directly to the in-vehicle system installed in the specific vehicle. do. If the recommended speed is inappropriate, the server 172 corrects the recommended speed and transmits it to the in-vehicle system installed in the specific vehicle. As a result, the specific vehicle that has received the corrected recommended speed can suppress unnecessary acceleration by providing the corrected recommended speed to the automatic driving ECU. Also, if the recommended speed is appropriate, the server 172 transmits signal information to the particular vehicle in addition to the recommended speed. As a result, the specific vehicle can provide the recommended speed signal information to the automatic driving ECU, thereby enabling coordinated control of the own vehicle's running and realizing appropriate automatic driving.
 なお、上述の実施形態の各処理(各機能)は、1又は複数のプロセッサを含む処理回路(Circuitry)により実現されてもよい。上記処理回路は、上記1又は複数のプロセッサに加え、1又は複数のメモリ、各種アナログ回路及び各種デジタル回路のいずれかが組み合わされた集積回路等により構成されてもよい。上記1又は複数のメモリは、上記各処理を上記1又は複数のプロセッサに実行させるプログラム(命令)を格納する。上記1又は複数のプロセッサは、上記1又は複数のメモリから読出した上記プログラムに従い上記各処理を実行してもよいし、予め上記各処理を実行するように設計された論理回路に従って上記各処理を実行してもよい。上記プロセッサは、CPU、GPU(Graphics Processing Unit)、DSP(Digital Signal Processor)、FPGA(Field Programmable Gate Array)、ASIC(Application Specific Integrated Circuit)等、コンピュータの制御に適合する種々のプロセッサであってよい。 Each process (each function) of the above-described embodiment may be realized by a processing circuit (circuitry) including one or more processors. The processing circuit may be configured by an integrated circuit or the like in which one or more memories, various analog circuits, and various digital circuits are combined in addition to the one or more processors. The one or more memories store programs (instructions) that cause the one or more processors to execute the processes. The one or more processors may execute the processes according to the program read from the one or more memories, or execute the processes according to a logic circuit designed in advance to execute the processes. may be executed. The processor may be a CPU, GPU (Graphics Processing Unit), DSP (Digital Signal Processor), FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), or any other suitable processor for computer control. .
 また、車載装置の処理(具体的には、車載ゲートウェイ122が実行する処理(例えば、図8及び図9に示した処理)をコンピュータに実行させるプログラムを記録した記録媒体を提供できる。記録媒体は、例えば光ディスク(DVD(Digital Versatile Disc)等)、着脱可能な半導体メモリ(USB(Universal Serial Bus)メモリ等)である。コンピュータプログラムは通信回線により伝送され得るが、記録媒体は非一時的な記録媒体を意味する。記録媒体に記憶されたプログラムを車両に搭載されたコンピュータに読込ませることにより、コンピュータは、上記したように、自動運転機能を有する車両において、無駄な加速を抑制することを可能とする。 Also, a recording medium recording a program for causing a computer to execute the processing of the in-vehicle device (specifically, the processing executed by the in-vehicle gateway 122 (for example, the processing shown in FIGS. 8 and 9)) can be provided. , for example, an optical disk (DVD (Digital Versatile Disc), etc.), a removable semiconductor memory (USB (Universal Serial Bus) memory, etc.).The computer program can be transmitted via a communication line, but the recording medium is a non-temporary recording medium. By loading the program stored in the recording medium into the computer installed in the vehicle, the computer can suppress unnecessary acceleration in vehicles with automatic driving functions as described above. and
(付記)
 即ち、コンピュータ読取り可能な非一時的な記録媒体は、
 対象車両に搭載されたコンピュータに、
 前記対象車両の走行経路上に位置する交差点と前記対象車両との間の距離と、前記交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出機能と、
 前記対象車両の位置から前記交差点までの道路における交通状況を表す交通情報を生成する交通情報生成機能と、
 前記交通情報に基づいて前記推奨速度の適否を判定する判定機能と、
 前記推奨速度を前記自動運転機能の実行部に出力する出力機能と、を実現させるためのコンピュータプログラムであって、
 前記出力機能は、前記判定機能により前記推奨速度が適切であると判定されたことを受けて、前記推奨速度を前記実行部に出力する機能を含む、コンピュータプログラムを記憶している。
(Appendix)
That is, the computer-readable non-transitory recording medium is
The computer installed in the target vehicle,
A recommended speed calculation function for calculating a recommended speed based on the distance between the target vehicle and an intersection located on the travel route of the target vehicle, and signal information regarding the state of the traffic light placed at the intersection;
a traffic information generation function for generating traffic information representing traffic conditions on a road from the position of the target vehicle to the intersection;
a judgment function for judging whether the recommended speed is appropriate based on the traffic information;
A computer program for realizing an output function that outputs the recommended speed to the execution unit of the automatic driving function,
The output function stores a computer program including a function of outputting the recommended speed to the execution unit in response to the determination that the recommended speed is appropriate by the determination function.
 以上、実施の形態を説明することにより本開示を説明したが、上記した実施の形態は例示であって、本開示は上記した実施の形態のみに制限されるわけではない。本開示の範囲は、発明の詳細な説明の記載を参酌した上で、請求の範囲の各請求項によって示され、そこに記載された文言と均等の意味及び範囲内での全ての変更を含む。 Although the present disclosure has been described above by describing the embodiments, the above-described embodiments are examples, and the present disclosure is not limited only to the above-described embodiments. The scope of the present disclosure is indicated by each claim after taking into account the description of the detailed description of the invention, and includes all changes within the meaning and scope of equivalents to the words described therein .
100、170  運転支援システム
102a、102b、102c、102d、102e、102f、102g、102h、102i、102j  車両
104a、104b、150  車載システム
106、106a、106b、106c、106d、106e、106f  信号機
108  基地局
110  インフラセンサ
112  ネットワーク
114、116  車両群
120  通信部
122、154  車載ゲートウェイ
124  センサ
126  自動運転ECU
128  ECU
130、132  バス
140、160  制御部
142、162  メモリ
152  拡張装置
172  サーバ
200  記憶部
202  動的情報生成部
204  動的地図生成部
206  交通情報生成部
208  推奨速度算出部
210  判定部
212  推奨速度補正部
214  出力部
300、302、304、306、308、400、402、404、406、408、410、412、414、416、418、420、422、424  ステップ
900、900a、900b  歩行者
910、912  交差点
L  距離
100, 170 Driving support system 102a, 102b, 102c, 102d, 102e, 102f, 102g, 102h, 102i, 102j Vehicles 104a, 104b, 150 In- vehicle system 106, 106a, 106b, 106c, 106d, 106e, 106f Signal 108 Base station 110 infrastructure sensor 112 network 114, 116 vehicle group 120 communication unit 122, 154 in-vehicle gateway 124 sensor 126 automatic driving ECU
128 ECUs
130, 132 buses 140, 160 control units 142, 162 memory 152 expansion device 172 server 200 storage unit 202 dynamic information generation unit 204 dynamic map generation unit 206 traffic information generation unit 208 recommended speed calculation unit 210 determination unit 212 recommended speed correction Unit 214 Output units 300, 302, 304, 306, 308, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424 Steps 900, 900a, 900b Pedestrians 910, 912 intersection L distance

Claims (14)

  1.  自動運転機能を有する対象車両に搭載される車載装置であって、
     前記対象車両の走行経路上に位置する交差点と前記対象車両との間の距離と、前記交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出部と、
     前記対象車両の位置から前記交差点までの道路における交通状況を表す交通情報を生成する交通情報生成部と、
     前記交通情報に基づいて前記推奨速度の適否を判定する判定部と、
     前記推奨速度を前記自動運転機能の実行部に出力する出力部と、を含み、
     前記出力部は、前記判定部により前記推奨速度が適切であると判定されたことを受けて、前記推奨速度を前記実行部に出力する、車載装置。
    An in-vehicle device mounted on a target vehicle having an automatic driving function,
    a recommended speed calculation unit that calculates a recommended speed based on the distance between the target vehicle and an intersection located on the travel route of the target vehicle, and signal information regarding the state of a traffic light placed at the intersection;
    a traffic information generation unit that generates traffic information representing traffic conditions on a road from the position of the target vehicle to the intersection;
    a determination unit that determines whether the recommended speed is appropriate based on the traffic information;
    an output unit that outputs the recommended speed to the automatic driving function execution unit,
    The in-vehicle device, wherein the output unit outputs the recommended speed to the execution unit in response to the determination by the determination unit that the recommended speed is appropriate.
  2.  前記出力部は、前記判定部により前記推奨速度が適切であると判定されたことを受けて、前記推奨速度に加えて、前記信号情報を前記実行部に出力する、請求項1に記載の車載装置。 2. The vehicle-mounted vehicle according to claim 1, wherein said output unit outputs said signal information to said execution unit in addition to said recommended speed in response to said determination unit determining that said recommended speed is appropriate. Device.
  3.  前記信号情報は、前記対象車両が前記交差点に進入する方向の交通を制御する特定信号機の情報を含み、
     前記推奨速度算出部は、前記距離を前記特定信号機の青色の残時間で除して前記推奨速度を算出する、請求項1又は請求項2に記載の車載装置。
    The traffic light information includes information on a specific traffic light that controls traffic in a direction in which the target vehicle enters the intersection;
    3. The in-vehicle device according to claim 1, wherein said recommended speed calculation unit calculates said recommended speed by dividing said distance by the time remaining in green of said specific traffic light.
  4.  前記推奨速度算出部は、前記特定信号機の青色の残時間が所定時間以上であることを受けて、前記推奨速度を算出する、請求項3に記載の車載装置。 The in-vehicle device according to claim 3, wherein the recommended speed calculation unit calculates the recommended speed in response to the fact that the remaining time of the green color of the specific traffic light is equal to or longer than a predetermined time.
  5.  前記交通情報は、前記対象車両と前記交差点との間を走行している車両の代表速度であり、
     前記判定部は、前記代表速度と前記推奨速度との差異を算出し、当該差異に基づいて、前記推奨速度の適否を判定する、請求項1から請求項4のいずれか1項に記載の車載装置。
    the traffic information is a representative speed of a vehicle traveling between the target vehicle and the intersection;
    The vehicle-mounted vehicle according to any one of claims 1 to 4, wherein the determination unit calculates a difference between the representative speed and the recommended speed, and determines whether the recommended speed is appropriate based on the difference. Device.
  6.  前記差異は、前記代表速度から前記推奨速度を減算して算出された差分であり、
     前記判定部は、
      前記差分が0以上の所定値以上であれば、前記推奨速度は適切であると判定し、
      前記差分が前記所定値未満であれば、前記推奨速度は適切でないと判定する、請求項5に記載の車載装置。
    The difference is a difference calculated by subtracting the recommended speed from the representative speed,
    The determination unit is
    determining that the recommended speed is appropriate if the difference is equal to or greater than a predetermined value equal to or greater than 0;
    6. The in-vehicle device according to claim 5, wherein said recommended speed is determined to be inappropriate if said difference is less than said predetermined value.
  7.  前記代表速度は、
      前記対象車両と前記交差点との間を当該対象車両と同じ方向に走行している複数の車両の平均速度若しくは最小速度、
      前記複数の車両のうち、前記交差点に最も近い車両の速度、又は、
      前記複数の車両のうち、前記対象車両に最も近い車両の速度である、請求項5又は請求項6に記載の車載装置。
    The representative speed is
    Average speed or minimum speed of a plurality of vehicles traveling in the same direction as the target vehicle between the target vehicle and the intersection;
    The speed of the vehicle closest to the intersection among the plurality of vehicles, or
    The in-vehicle device according to claim 5 or 6, which is the speed of the vehicle closest to the target vehicle among the plurality of vehicles.
  8.  前記判定部は、前記交差点及び前記交差点の周囲における動的情報を基に、前記対象車両と前記交差点との間を当該対象車両と同じ方向に走行している複数の車両の各々に関し、所定時間後の推定速度を算出し、
     前記代表速度は、
      複数の前記推定速度の平均値若しくは最小値、
      前記複数の車両のうち、前記交差点に最も近い車両の前記推定速度、又は、
      前記複数の車両のうち、前記対象車両に最も近い車両の前記推定速度である、請求項5又は請求項6に記載の車載装置。
    Based on the dynamic information of the intersection and the surroundings of the intersection, the determination unit determines whether each of the plurality of vehicles traveling in the same direction as the target vehicle between the target vehicle and the intersection is detected for a predetermined time. Calculate the estimated speed after
    The representative speed is
    average or minimum value of the plurality of estimated speeds;
    the estimated speed of the vehicle closest to the intersection among the plurality of vehicles, or
    The in-vehicle device according to claim 5 or 6, wherein the estimated speed is the vehicle closest to the target vehicle among the plurality of vehicles.
  9.  前記判定部による判定結果に基づいて前記推奨速度を補正する推奨速度補正部をさらに含み、
     前記出力部は、前記判定部により前記推奨速度が適切でないと判定されたことを受けて、前記推奨速度補正部により補正された後の推奨速度を前記実行部に出力する、請求項1から請求項8のいずれか1項に記載の車載装置。
    further comprising a recommended speed correction unit that corrects the recommended speed based on the determination result of the determination unit;
    The output unit outputs the recommended speed after being corrected by the recommended speed correction unit to the execution unit in response to the determination by the determination unit that the recommended speed is not appropriate. Item 9. The in-vehicle device according to any one of Items 8.
  10.  前記推奨速度補正部は、
      前記判定部により前記推奨速度が適切であると判定されたことを受けて、前記推奨速度を維持し、
      前記判定部により前記推奨速度が適切でないと判定されたことを受けて、前記推奨速度をより小さい値に補正する、請求項9に記載の車載装置。
    The recommended speed correction unit
    maintaining the recommended speed in response to the judgment that the recommended speed is appropriate by the judging unit;
    10. The in-vehicle device according to claim 9, wherein said recommended speed is corrected to a smaller value in response to said determination unit determining that said recommended speed is not appropriate.
  11.  自動運転機能を有する対象車両に搭載される車両システムであって、
     前記対象車両の走行経路上に位置する交差点に配置された信号機の状態に関する信号情報を取得する通信部と、
     前記自動運転機能の実行部と、
     請求項1から請求項10のいずれかに記載の車載装置と、を含む、車両システム。
    A vehicle system mounted on a target vehicle having an automatic driving function,
    a communication unit that acquires signal information regarding the state of a traffic signal placed at an intersection located on the travel route of the target vehicle;
    an execution unit for the automatic driving function;
    A vehicle system comprising the vehicle-mounted device according to any one of claims 1 to 10.
  12.  自動運転機能を有する対象車両の運転を支援するサーバコンピュータであって、
     前記対象車両の走行経路上に位置する交差点に配置された信号機の状態に関する信号情報を取得する通信部と、
     前記交差点と前記対象車両との間の距離と、前記交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出部と、
     前記対象車両の位置から前記交差点までの道路における交通状況を表す交通情報を生成する交通情報生成部と、
     前記交通情報に基づいて前記推奨速度の適否を判定する判定部と、を含み、
     前記通信部はさらに、前記判定部により前記推奨速度が適切であると判定されたことを受けて、前記推奨速度を前記対象車両に送信する、サーバコンピュータ。
    A server computer that supports driving of a target vehicle having an automatic driving function,
    a communication unit that acquires signal information regarding the state of a traffic signal placed at an intersection located on the travel route of the target vehicle;
    a recommended speed calculation unit that calculates a recommended speed based on the distance between the intersection and the target vehicle and signal information regarding the state of a traffic light placed at the intersection;
    a traffic information generation unit that generates traffic information representing traffic conditions on a road from the position of the target vehicle to the intersection;
    a determination unit that determines whether the recommended speed is appropriate based on the traffic information;
    The server computer, wherein the communication unit further transmits the recommended speed to the target vehicle in response to the determination by the determination unit that the recommended speed is appropriate.
  13.  対象車両の自動運転機能を支援する制御方法であって、
     前記対象車両の走行経路上に位置する交差点と前記対象車両との間の距離と、前記交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出ステップと、
     前記対象車両の位置から前記交差点までの道路における交通状況を表す交通情報を生成する交通情報生成ステップと、
     前記交通情報に基づいて前記推奨速度の適否を判定する判定ステップと、
     前記推奨速度を、前記自動運転機能の実行部に出力する出力ステップと、を含み、
     前記出力ステップは、前記判定ステップにより前記推奨速度が適切であると判定されたことを受けて、前記推奨速度を前記実行部に出力するステップを含む、制御方法。
    A control method for supporting an automatic driving function of a target vehicle,
    a recommended speed calculation step of calculating a recommended speed based on the distance between the target vehicle and an intersection located on the travel route of the target vehicle, and signal information regarding the state of the traffic light placed at the intersection;
    a traffic information generation step of generating traffic information representing traffic conditions on a road from the position of the target vehicle to the intersection;
    a determination step of determining whether the recommended speed is appropriate based on the traffic information;
    An output step of outputting the recommended speed to the execution unit of the automatic driving function,
    The control method, wherein the output step includes a step of outputting the recommended speed to the execution unit in response to the determination that the recommended speed is appropriate by the determination step.
  14.  対象車両に搭載されたコンピュータに、
     前記対象車両の走行経路上に位置する交差点と前記対象車両との間の距離と、前記交差点に配置された信号機の状態に関する信号情報と、に基づいて推奨速度を算出する推奨速度算出機能と、
     前記対象車両の位置から前記交差点までの道路における交通状況を表す交通情報を生成する交通情報生成機能と、
     前記交通情報に基づいて前記推奨速度の適否を判定する判定機能と、
     前記推奨速度を前記自動運転機能の実行部に出力する出力機能と、を実現させるためのコンピュータプログラムであって、
     前記出力機能は、前記判定機能により前記推奨速度が適切であると判定されたことを受けて、前記推奨速度を前記実行部に出力する機能を含む、コンピュータプログラム。
    The computer installed in the target vehicle,
    A recommended speed calculation function for calculating a recommended speed based on the distance between the target vehicle and an intersection located on the travel route of the target vehicle, and signal information regarding the state of the traffic light placed at the intersection;
    a traffic information generation function for generating traffic information representing traffic conditions on a road from the position of the target vehicle to the intersection;
    a judgment function for judging whether the recommended speed is appropriate based on the traffic information;
    A computer program for realizing an output function that outputs the recommended speed to the execution unit of the automatic driving function,
    The computer program according to claim 1, wherein the output function includes a function of outputting the recommended speed to the execution unit when the determination function determines that the recommended speed is appropriate.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007264905A (en) * 2006-03-28 2007-10-11 Casio Comput Co Ltd Information transmission system, guidance apparatus, guidance method and guidance program
JP2008242843A (en) * 2007-03-27 2008-10-09 Denso Corp Driving support device
JP2009146288A (en) * 2007-12-17 2009-07-02 Toyota Motor Corp Travel supporting device for vehicle
JP2011227761A (en) * 2010-04-21 2011-11-10 Denso Corp Driver support device and driver support system
JP2014215743A (en) * 2013-04-24 2014-11-17 本田技研工業株式会社 Vehicular driving assist system
JP2020166398A (en) * 2019-03-28 2020-10-08 本田技研工業株式会社 Vehicle drive assist system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007264905A (en) * 2006-03-28 2007-10-11 Casio Comput Co Ltd Information transmission system, guidance apparatus, guidance method and guidance program
JP2008242843A (en) * 2007-03-27 2008-10-09 Denso Corp Driving support device
JP2009146288A (en) * 2007-12-17 2009-07-02 Toyota Motor Corp Travel supporting device for vehicle
JP2011227761A (en) * 2010-04-21 2011-11-10 Denso Corp Driver support device and driver support system
JP2014215743A (en) * 2013-04-24 2014-11-17 本田技研工業株式会社 Vehicular driving assist system
JP2020166398A (en) * 2019-03-28 2020-10-08 本田技研工業株式会社 Vehicle drive assist system

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