Traffic Safety Support System

Abstract

To provide a traffic safety assistance system with which it is possible to heighten the degree of reliability of traffic participants on risk display.SOLUTION: The traffic safety assistance system comprises a sever device that predicts the future behavior of a plurality of traffic participants, and a notification device that performs notification to the plurality of traffic participants on the basis of the prediction result of the server device. The server device identifies a risk action which is the action of a second traffic participant causing a risk to occur between the first traffic participant and the second traffic participant, calculates a risk probability which is the probability of the second traffic participant taking a risk action, and transmits information regarding the risk action and the risk probability to the first traffic participant. The notification device includes a display device 24 provided to the first traffic participant. The display device 24 displays, together with an image 83 indicating the position of the second traffic participant, a risk action image 84 indicating the content of the risk action and a risk probability image 85 indicating the risk probability.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present invention relates to a traffic safety support system. [Background technology]

[0002] In recent years, efforts to provide vulnerable transport participants with access to sustainable transport systems have been gaining momentum. To achieve this, research and development into preventive safety technologies that can further improve transport safety and convenience has been attracting attention.

[0003] For example, Patent Document 1 discloses a vehicle display system that calculates a risk potential (degree of risk) at a position away from a traffic participant (own vehicle) and adjusts the height of the wall surface of a wall image according to the calculated risk potential. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2015-210644 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, simply adjusting the height of the wall surface of the wall image according to the risk potential as described above may not allow other traffic participants to easily understand what action of one traffic participant may cause a risk. Also, simply adjusting the height of the wall surface of the wall image according to the risk potential may lead to traffic participants distrusting the risk display when no risk occurs despite the wall image being displayed.

[0006] In view of the above background, the present invention aims to provide a traffic safety support system that can allow other traffic participants to easily understand what actions of one traffic participant may cause a risk and can increase the traffic participants' trust in the risk display, and ultimately contribute to the development of a sustainable transportation system. [Means for solving the problem]

[0007] In order to solve the above problem, one aspect of the present invention is a traffic safety support system (1) including an acquisition device (12-15) that acquires information about a plurality of traffic participants (2-5) present in a target traffic area (A), a server device (18) that predicts future behavior of the plurality of traffic participants based on the information about the plurality of traffic participants acquired by the acquisition device, and a notification device (12-15) that notifies the plurality of traffic participants based on the prediction result of the server device, wherein the plurality of traffic participants include a first traffic participant (71) and a second traffic participant (73), and the server device is configured to obtain a traffic safety support system (1) including a traffic safety support system (1) having a plurality of traffic participants (2-5) present in a target traffic area (A), a server device (18) that predicts future behavior of the plurality of traffic participants based on the information about the plurality of traffic participants acquired by the acquisition device, and a notification device (12-15) that notifies the plurality of traffic participants based on the prediction result of the server device, The notification device identifies a risk behavior, which is the behavior of the second traffic participant that creates a risk between the second traffic participant and the first traffic participant, calculates a risk probability, which is the probability that the second traffic participant will take the risk behavior, and transmits information regarding the risk behavior and the risk probability to the first traffic participant, and the notification device includes a display device (24) provided in the first traffic participant, and the display device displays a risk behavior image (84) showing the content of the risk behavior and a risk probability image (85) showing the risk probability together with an image (83) showing the position of the second traffic participant in a surrounding area image (80) showing the surrounding area of ​​the first traffic participant.

[0008] According to this embodiment, a risky behavior image showing the content of the risky behavior of the second traffic participant (behavior that generates a risk between the first traffic participant and the second traffic participant) is displayed in the surrounding area image. Therefore, the first traffic participant or its driver (hereinafter simply referred to as the "first traffic participant") can easily understand what behavior of the second traffic participant generates a risk. This can encourage the first traffic participant to take a behavior to avoid the risk.

[0009] Furthermore, a risk probability image showing a risk probability (probability that the second traffic participant will take a risky behavior) is displayed on the surrounding area image. Therefore, even if no risk occurs despite the risk behavior image being displayed, the first traffic participant can feel a sense of satisfaction according to the risk probability. This can increase the first traffic participant's trust in the risk display, which in turn can contribute to the development of a sustainable transportation system.

[0010] In the above aspect, the server device may calculate a risk level, which is the importance of the risky behavior, and transmit information regarding the risk level to the first traffic participant, and the display device may further display a risk level image (86) indicating the risk level in the surrounding area image.

[0011] According to this embodiment, the first traffic participant can grasp not only the content and probability of the risky behavior of the second traffic participant, but also the importance of the risky behavior of the second traffic participant based on the surrounding area image, thereby improving the usefulness of the risk display.

[0012] In the above aspect, the server device may calculate the time or distance until the first traffic participant and the second traffic participant come into contact, and calculate the risk level by multiplying the time or distance until the first traffic participant and the second traffic participant come into contact by the risk probability.

[0013] According to this embodiment, the risk level can be appropriately calculated based on the risk probability.

[0014] In the above aspect, the display device may display the risk degree image on the opposite side of the risk probability image with the risky behavior image in between.

[0015] According to this embodiment, the first traffic participant can easily distinguish between the risk probability indicated by the risk probability image and the risk degree indicated by the risk degree image.

[0016] In the above aspect, the risk probability image may indicate the risk probability by a percentage, and the risk degree image may indicate the risk degree by a bar-shaped gauge image (87).

[0017] According to this embodiment, the first traffic participant can more easily distinguish between the risk probability indicated by the risk probability image and the risk degree indicated by the risk degree image.

[0018] In the above aspect, the display device may display the risky behavior image and the risk probability image in the surrounding area image only when the risk probability is equal to or greater than a predetermined threshold.

[0019] According to this embodiment, it is possible to suppress the first traffic participant from feeling annoyed by the risky behavior image and the risk probability image being constantly displayed.

[0020] In the above aspect, the display device may display, as the risky behavior image, an image indicating a direction of the risky behavior.

[0021] According to this aspect, the risky behavior image can clearly show the content of the risky behavior.

[0022] In the above aspect, the second traffic participant is a vehicle, the acquisition device includes an on-board sensor (32) that detects the state of the driver of the vehicle, and the server device may calculate the risk probability based on the detection result of the on-board sensor.

[0023] According to this aspect, the risk probability can be appropriately calculated based on the state of the driver of the vehicle.

[0024] In the above aspect, the first traffic participant is a first vehicle and the second traffic participant is a second vehicle, and the server device may identify a lane change of the second vehicle into the lane (L1) in which the first vehicle is traveling as the risk behavior.

[0025] According to this embodiment, it is possible to appropriately notify the driver of the first vehicle of a risk caused by a lane change by the second vehicle. Effect of the Invention

[0026] According to the above aspects, it is possible to provide a traffic safety support system that can easily allow other traffic participants to understand what actions of one traffic participant may cause a risk, and that can increase the traffic participants' trust in the risk display. [Brief description of the drawings]

[0027] [Figure 1] FIG. 2 is a schematic plan view showing a target traffic area according to an embodiment of the present invention; [Diagram 2] A functional configuration diagram showing a traffic safety support system according to an embodiment of the present invention. [Diagram 3] FIG. 1 is a plan view showing a main part of a target traffic area according to an embodiment of the present invention. [Figure 4] 1 is a flowchart showing information transmission control according to an embodiment of the present invention. [Diagram 5] FIG. 1 is an explanatory diagram showing a surrounding area image according to an embodiment of the present invention; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0028] Hereinafter, a traffic safety support system 1 according to one embodiment of the present invention will be described with reference to the drawings.

[0029] <Traffic Safety Support System 1> Fig. 1 is a schematic plan view showing an example of a traffic area (hereinafter referred to as "target traffic area A") to which a traffic safety support system 1 according to one embodiment of the present invention is applied. In the target traffic area A, there are a plurality of automobiles 2 (e.g., four-wheeled automobiles), a plurality of motorcycles 3, a plurality of bicycles 4, and a plurality of pedestrians 5 as a plurality of traffic participants. In the target traffic area A, there are a plurality of roadways 6, a plurality of sidewalks 7, a plurality of crosswalks 8, a plurality of traffic lights 9, etc. as a plurality of infrastructure facilities. Note that the plurality of sidewalks 7, the plurality of crosswalks 8, and the plurality of traffic lights 9 are not shown except in Fig. 1.

[0030] 2, the traffic safety support system 1 includes a plurality of automobile device groups 12 (an example of an acquisition device and a notification device), a plurality of two-wheeled vehicle device groups 13 (an example of an acquisition device and a notification device), a plurality of bicycle terminals 14 (an example of an acquisition device and a notification device), a plurality of pedestrian terminals 15 (an example of an acquisition device and a notification device), a plurality of infrastructure cameras 16, a traffic light control device 17, and a server device 18. Note that in FIG. 2, only one of each of the plurality of automobile device groups 12, the plurality of two-wheeled vehicle device groups 13, the plurality of bicycle terminals 14, the plurality of pedestrian terminals 15, and the plurality of infrastructure cameras 16 is shown. Below, the components of the traffic safety support system 1 will be explained in order.

[0031] <Automotive equipment group 12> Each automobile device group 12 is provided in a corresponding automobile 2 and moves together with the corresponding automobile 2. Each automobile device group 12 has an on-board actuator 21, an on-board sensor 22, an on-board navigation device 23 (on-board NAVI), an on-board HMI 24, an on-board control device 25, an on-board communication device 26, and an on-board terminal 27. The components of each automobile device group 12 other than the on-board terminal 27 form part of the corresponding automobile 2.

[0032] The on-vehicle actuator 21 includes a drive device that applies a driving force to the automobile 2, a brake device that applies a braking force to the automobile 2, and a steering device that steers the wheels of the automobile 2. The drive device is configured by an internal combustion engine and / or an electric motor.

[0033] The on-board sensor 22 detects various conditions related to the automobile 2. The on-board sensor 22 includes an external sensor that detects the external state of the automobile 2, a vehicle sensor that detects the state of the automobile 2, and a driver sensor that detects the state of the driver of the automobile 2. The external sensor includes an external camera that captures images of targets (division lines, obstacles, other vehicles, etc.) around the automobile 2, a radar that detects the positions of targets around the automobile 2 using radio waves such as millimeter waves, and a LiDAR that detects the positions of targets around the automobile 2 using light such as infrared rays. The vehicle sensor includes a vehicle speed sensor that detects the speed of the automobile 2. The driver sensor includes a driver camera that captures images of the driver, and a biosensor that detects the bioinformation of the driver (pulse, respiration, skin potential, etc.).

[0034] The in-vehicle navigation device 23 is a device that provides route guidance to the destination of the automobile 2. The in-vehicle navigation device 23 stores map information. The in-vehicle navigation device 23 identifies the current position of the automobile 2 based on the GNSS signal received from an artificial satellite.

[0035] The in-vehicle HMI 24 notifies the driver of the automobile 2. For example, the in-vehicle HMI 24 includes a touch panel and an audio output device. The touch panel displays various screens to the driver. The audio output device outputs audio guidance, warning sounds, and the like to the driver.

[0036] The on-vehicle control device 25 is an electronic control unit (ECU) consisting of one or more computers configured to execute various processes. The on-vehicle control device 25 includes an arithmetic processing device (a processor such as a CPU or MPU) and a storage device (a memory such as a ROM or RAM). The on-vehicle control device 25 is connected to each component of the automobile 2 and controls each component of the automobile 2. The on-vehicle control device 25 controls the traveling of the automobile 2 by controlling the on-vehicle actuator 21. The on-vehicle control device 25 recognizes targets existing around the automobile 2 based on the detection results of the external sensors of the on-vehicle sensor 22.

[0037] The on-vehicle communication device 26 is connected to the server device 18 via a wireless communication network. The on-vehicle communication device 26 transmits to the server device 18 various states related to the automobile 2 detected by the on-vehicle sensor 22 and the current position of the automobile 2 identified by the on-vehicle navigation device 23. The on-vehicle communication device 26 receives traffic safety support information (described in detail later) from the server device 18.

[0038] The in-vehicle terminal 27 is a portable terminal carried by the driver of the automobile 2. The in-vehicle terminal 27 is an electronic control unit (ECU) consisting of one or more computers configured to execute various processes. The in-vehicle terminal 27 includes an arithmetic processing unit (processor such as CPU or MPU) and a storage device (memory such as ROM or RAM). For example, the in-vehicle terminal 27 is configured by a wearable device or a smartphone. The in-vehicle terminal 27 is connected to the server device 18 via a wireless communication network.

[0039] <Motorcycle equipment group 13> Each motorcycle equipment group 13 is provided on a corresponding motorcycle 3 and moves together with the corresponding motorcycle 3. With reference to Fig. 2, each motorcycle equipment group 13 has an on-vehicle actuator 31, an on-vehicle sensor 32, an on-vehicle navigation device 33 (on-vehicle NAVI), an on-vehicle HMI 34, an on-vehicle control device 35, an on-vehicle communication device 36, and an on-vehicle terminal 37. The components of each motorcycle equipment group 13 other than the on-vehicle terminal 37 form part of the corresponding motorcycle 3. The components of each motorcycle equipment group 13 are similar to the components of each automobile equipment group 12, and therefore description thereof will be omitted.

[0040] <Bicycle Terminal 14> Each bicycle terminal 14 is a portable terminal carried by the rider of the corresponding bicycle 4, and moves together with the corresponding bicycle 4. For example, each bicycle terminal 14 is configured by a wearable device or a smartphone.

[0041] Each bicycle terminal 14 has a terminal sensor 41, a terminal navigation device 42 (terminal NAVI), a terminal HMI 43, a terminal control device 44, and a terminal communication device 45.

[0042] The terminal sensor 41 is built into each bicycle terminal 14 and detects the state of the bicycle 4. The terminal sensor 41 includes an acceleration sensor 41A that detects the acceleration of the bicycle 4, and a gyro sensor 41B that detects the angular velocity of the bicycle 4.

[0043] The terminal navigation device 42 stores map information. The terminal navigation device 42 identifies the current position of the bicycle 4 based on GNSS signals received from artificial satellites.

[0044] The terminal HMI 43 notifies the rider of the bicycle 4. For example, the terminal HMI 43 includes a touch panel and an audio output device. The touch panel displays various screens to the rider. The audio output device outputs audio guidance, warning sounds, and the like to the rider.

[0045] The terminal control device 44 is an electronic control unit (ECU) consisting of one or more computers configured to execute various processes. The terminal control device 44 includes an arithmetic processing device (a processor such as a CPU or an MPU) and a storage device (a memory such as a ROM or a RAM).

[0046] The terminal communication device 45 is connected to the server device 18 via a wireless communication network. The terminal communication device 45 transmits to the server device 18 the state of the bicycle 4 detected by the terminal sensor 41 and the current position of the bicycle 4 identified by the terminal navigation device 42. The terminal communication device 45 receives traffic safety support information (described in detail later) from the server device 18.

[0047] <Pedestrian terminal 15> Each pedestrian terminal 15 is a portable terminal carried by the corresponding pedestrian 5, and moves together with the corresponding pedestrian 5. For example, each pedestrian terminal 15 is configured by a wearable device or a smartphone.

[0048] Each pedestrian terminal 15 has a terminal sensor 51, a terminal navigation device 52 (terminal NAVI), a terminal HMI 53, a terminal control device 54, and a terminal communication device 55. The terminal sensor 51 includes an acceleration sensor 51A that detects the acceleration of the pedestrian 5, and a gyro sensor 51B that detects the angular velocity of the pedestrian 5. The components of each pedestrian terminal 15 are similar to the components of each bicycle terminal 14, so a description thereof will be omitted.

[0049] <Infrastructure Camera 16> Each infrastructure camera 16 is installed in a target traffic area A. Each infrastructure camera 16 captures images of multiple traffic participants and multiple infrastructure facilities within the target traffic area A. Each infrastructure camera 16 is connected to a server device 18 via a wireless communication network. Each infrastructure camera 16 transmits the captured images of the traffic participants and infrastructure facilities to the server device 18.

[0050] <Signal control device 17> The signal control device 17 controls each traffic light 9 installed in the target traffic area A. The signal control device 17 acquires information about each traffic light 9 installed in the target traffic area A. The signal control device 17 is connected to a server device 18 via a wireless communication network. The signal control device 17 transmits the acquired information about each traffic light 9 to the server device 18.

[0051] <Server device 18> The server device 18 is an electronic control unit (ECU) consisting of one or more computers configured to execute various processes. The server device 18 includes an arithmetic processing device (a processor such as a CPU or an MPU) and a storage device (a memory such as a ROM or a RAM). The server device 18 is configured by a virtual server built on the cloud. In another embodiment, the server device 18 may be configured by a physical server installed in a company that operates the traffic safety support system 1.

[0052] The server device 18 includes a database unit 61 , a behavior prediction unit 62 , a risk determination unit 63 , a support information generation unit 64 , and a support information transmission unit 65 .

[0053] The database unit 61 stores map information (hereinafter referred to as "area map information") of the target traffic area A. The area map information includes information on each roadway 6 in the target traffic area A (e.g., information on the width and number of lanes of each roadway 6), information on each sidewalk 7 in the target traffic area A (e.g., information on the width of each sidewalk 7), information on each crosswalk 8 in the target traffic area A (e.g., information on the position of each crosswalk 8), and the like.

[0054] The behavior prediction unit 62 recognizes the state of the target traffic area A (including the state of traffic participants present in the target traffic area A) based on information transmitted from the on-board communication device 26 of each automobile device group 12, the on-board communication device 36 of each two-wheeled vehicle device group 13, the terminal communication device 45 of each bicycle terminal 14, the terminal communication device 55 of each pedestrian terminal 15, each infrastructure camera 16, and the signal control device 17, and the area map information stored in the database unit 61. The behavior prediction unit 62 predicts the future behavior (for example, future trajectories) of the multiple traffic participants based on the state of the target traffic area A. More specifically, the behavior prediction unit 62 predicts the future behavior of the multiple traffic participants by constructing a virtual space corresponding to the target traffic area A based on the state of the target traffic area A and performing a simulation in this virtual space.

[0055] The risk determination unit 63 determines whether or not a risk (e.g., possibility of contact) will occur between the multiple traffic participants based on the future behaviors of the multiple traffic participants predicted by the behavior prediction unit 62. For example, when the future trajectory of one traffic participant overlaps with the future trajectory of another traffic participant, the risk determination unit 63 determines that a risk will occur between these traffic participants.

[0056] The support information generating unit 64 generates traffic safety support information (hereinafter abbreviated as "support information") based on the judgment result of the risk judging unit 63. The support information is information for notifying traffic participants who may be parties to risk (hereinafter referred to as "risk parties") of the existence of a risk. The support information includes information on the risk parties (e.g., information on the location of the risk parties) and information on the content of the risk (e.g., information on the location where the risk occurs).

[0057] The support information transmission unit 65 transmits the support information generated by the support information generation unit 64 to the risk parties. For example, when one automobile 2 in the target traffic area A is included in the risk parties, the support information transmission unit 65 transmits the support information to the in-vehicle communication device 26 provided in the one automobile 2. In response to this, the in-vehicle HMI 24 provided in the one automobile 2 notifies the driver of the one automobile 2 of the support information.

[0058] <Functions of Traffic Safety Support System 1> As described above, each of the automobile device groups 12 (particularly, the on-board sensor 22 and the on-board navigation device 23), each of the two-wheeled vehicle device groups 13 (particularly, the on-board sensor 32 and the on-board navigation device 33), each of the bicycle terminals 14 (particularly, the terminal sensor 41 and the terminal navigation device 42), and each of the pedestrian terminals 15 (particularly, the terminal sensor 51 and the terminal navigation device 52) acquires information about multiple traffic participants present in the target traffic area A. The server device 18 predicts the future behavior of the multiple traffic participants based on the information about the multiple traffic participants acquired by these devices. Each of the automobile device groups 12 (particularly, the on-board HMI 24), each of the two-wheeled vehicle device groups 13 (particularly, the on-board HMI 34), each of the bicycle terminals 14 (particularly, the terminal HMI 43), and each of the pedestrian terminals 15 (particularly, the terminal HMI 53) notifies the multiple traffic participants based on the prediction results of the server device 18. In this way, the traffic safety support system 1 supports safe traffic for multiple traffic participants.

[0059] In addition, when the traffic participant is a vehicle (e.g., an automobile 2, a motorcycle 3, or a bicycle 4), the notification to the traffic participant refers to a notification to a passenger of the traffic participant (e.g., a driver). In contrast, when the traffic participant is a human (e.g., a pedestrian 5), the notification to the traffic participant refers to a notification to the traffic participant himself / herself.

[0060] <Transportation participants> 3, the multiple automobiles 2 present in the target traffic area A include a first automobile 71 (an example of a first traffic participant and a first vehicle). The first automobile 71 is traveling in a first lane L1. An arrow X in FIG. 3 indicates the future trajectory of the first automobile 71.

[0061] The multiple automobiles 2 present in the target traffic area A include a second automobile 72. The second automobile 72 is traveling ahead of the first automobile 71 in a second lane L2 adjacent to the first lane L1.

[0062] The multiple motorcycles 3 present in the target traffic area A include a motorcycle 73 (an example of a second traffic participant and a second vehicle). The motorcycle 73 is traveling in the second lane L2, ahead of the first automobile 71 and behind the second automobile 72. An arrow Y in Fig. 3 indicates the future trajectory of the motorcycle 73.

[0063] Hereinafter, the second automobile 72 and the motorcycle 73 will be collectively referred to as "surrounding vehicles 72, 73."

[0064] <Information transmission control> Next, the information transmission control executed by the server device 18 will be described with reference to Fig. 4. The information transmission control is a control for transmitting the above-mentioned assistance information to the first vehicle 71.

[0065] When information transmission control is started, the server device 18 identifies the positions of the first automobile 71 and the surrounding vehicles 72, 73 based on the position information of the first automobile 71 and the surrounding vehicles 72, 73 transmitted from the first automobile 71 and the surrounding vehicles 72, 73 (step ST1).

[0066] Next, the server device 18 identifies risk behavior of the motorcycle 73 based on the positions of the first automobile 71 and the surrounding vehicles 72, 73 identified in step ST1 (step ST2). The risk behavior is a behavior of the motorcycle 73 that generates a risk between the first automobile 71 and the motorcycle 73. In this embodiment, the server device 18 identifies lane changing of the motorcycle 73 into the first lane L1 as the risk behavior.

[0067] Next, the server device 18 calculates a risk probability for the risk behavior identified in step ST2 (step ST3). The risk probability is the probability that the motorcycle 73 will take the risk behavior. In this embodiment, the risk probability is the probability that the motorcycle 73 will change lanes to the first lane L1. For example, the server device 18 receives from the motorcycle 73 the state of the driver of the motorcycle 73 (the driver's pulse, breathing, skin potential, etc.) detected by the on-board sensor 32 of the motorcycle 73. The server device 18 may determine the psychological state of the driver of the motorcycle 73 (for example, whether the driver of the motorcycle 73 is feeling impatient) based on the received state of the driver of the motorcycle 73, and calculate the risk probability based on the determination result.

[0068] Next, the server device 18 calculates a risk level for the risky behavior identified in step ST2 (step ST4). The risk level is the importance of the risky behavior. In this embodiment, the risk level is the importance of the lane change of the motorcycle 73 to the first lane L1. For example, the server device 18 calculates the time or distance until the first automobile 71 and the motorcycle 73 come into contact based on the vehicle speeds of the first automobile 71 and the motorcycle 73 received from the first automobile 71 and the motorcycle 73 and the positions of the first automobile 71 and the motorcycle 73 identified in step ST1. The server device 18 calculates the risk level by multiplying the time or distance until the first automobile 71 and the motorcycle 73 come into contact by the risk probability calculated in step ST3.

[0069] Next, the server device 18 transmits support information to the first automobile 71 (step ST5). The support information transmitted to the first automobile 71 includes information on the positions of the surrounding vehicles 72, 73, information on the risky behavior, information on the risk probability, and information on the risk level.

[0070] <Surrounding area image 80> 5, the in-vehicle HMI 24 (an example of a display device) provided in the first automobile 71 is configured to be capable of displaying a surrounding area image 80. The surrounding area image 80 is an image showing the surrounding area of ​​the first automobile 71. The surrounding area image 80 may be generated by the in-vehicle control device 25 of the first automobile 71, or may be generated by the server device 18 and transmitted from the server device 18 to the first automobile 71.

[0071] The surrounding area image 80 is a bird's-eye view image (three-dimensional image) looking down on the first automobile 71 and its surrounding area from above and behind the first automobile 71 to below and in front of the first automobile 71. In other embodiments, the surrounding area image 80 may be a bird's-eye view image (two-dimensional image) looking down on the first automobile 71 and its surrounding area from directly above.

[0072] A first automobile image 81, a second automobile image 82, and a motorcycle image 83 are displayed in the surrounding area image 80. The first automobile image 81, the second automobile image 82, and the motorcycle image 83 indicate the positions of the first automobile 71, the second automobile 72, and the motorcycle 73, respectively. For example, the in-vehicle HMI 24 may determine the positions of the first automobile image 81, the second automobile image 82, and the motorcycle image 83 based on the current position of the first automobile 71 identified by the in-vehicle navigation device 23 of the first automobile 71 and information on the positions of the surrounding vehicles 72, 73 included in the support information.

[0073] A risky behavior image 84 is displayed to the side of the motorcycle image 83 in the surrounding area image 80. The risky behavior image 84 indicates the content of the risky behavior. In this embodiment, the risky behavior image 84 indicates the lane changing direction of the motorcycle 73 with an arrow. The in-vehicle HMI 24 may change the size of the risky behavior image 84 depending on the magnitude of the risk probability included in the support information.

[0074] A risk probability image 85 is displayed above the risk behavior image 84 on the surrounding area image 80. The risk probability image 85 indicates the risk probability as a percentage. The in-vehicle HMI 24 may change the numerical value of the risk probability image 85 based on the information on the risk probability included in the support information. In another embodiment, the risk probability image 85 may be displayed below the risk behavior image 84.

[0075] A risk level image 86 is displayed in the surrounding area image 80 so as to overlap with the first automobile image 81. The risk level image 86 is displayed on the opposite side of the risk probability image 85 with the risky behavior image 84 in between. The risk level image 86 indicates the risk level with an extendable bar-shaped gauge image 87. The in-vehicle HMI 24 may determine the length of the gauge image 87 based on information relating to the risk level included in the support information.

[0076] Only when the risk probability is equal to or greater than a predetermined first threshold, the in-vehicle HMI 24 displays a risk behavior image 84 and a risk probability image 85 in the surrounding area image 80. Only when the risk degree is equal to or greater than a predetermined second threshold, the in-vehicle HMI 24 displays a risk degree image 86 in the surrounding area image 80.

[0077] The in-vehicle HMI 24 may switch the display timing and / or display intensity (e.g., size) of the risk behavior image 84, the risk probability image 85, and the risk degree image 86 (hereinafter referred to as "risk-related images 84-86") based on the characteristics of the driver of the first vehicle 71. For example, when the age of the driver of the first vehicle 71 is equal to or greater than a reference age (i.e., when the driver of the first vehicle 71 is elderly), the in-vehicle HMI 24 may advance the display timing of the risk-related images 84-86 or increase the display intensity of the risk-related images 84-86 compared to when the age of the driver of the first vehicle 71 is less than the reference age. In addition, when the driver of the first vehicle 71 has a degree of concentration on driving less than a reference value, the in-vehicle HMI 24 may advance the display timing of the risk-related images 84-86 or increase the display intensity of the risk-related images 84-86 compared to when the driver of the first vehicle 71 has a degree of concentration on driving equal to or greater than the reference value.

[0078] <Effects> As described above, the surrounding area image 80 displays the risky behavior image 84 indicating the details of the risky behavior of the motorcycle 73. Therefore, the driver of the first vehicle 71 can easily understand what kind of behavior of the motorcycle 73 causes a risk. This makes it possible to urge the driver of the first vehicle 71 to take action to avoid the risk (for example, slowing down the first vehicle 71).

[0079] Furthermore, a risk probability image 85 indicating the risk probability is displayed in the surrounding area image 80. Therefore, even if no risk occurs despite the display of the risky behavior image 84, the driver of the first vehicle 71 can obtain a sense of satisfaction according to the risk probability. Therefore, the reliability of the driver of the first vehicle 71 with respect to the risk display can be increased. In particular, if the driver of the first vehicle 71 uses the traffic safety support system 1 for a long period of time and the probability that a second traffic participant such as the motorcycle 73 will take a risky behavior in the actual space matches the risk probability, the reliability of the driver of the first vehicle 71 with respect to the risk display can be further increased.

[0080] <Modification> In the above embodiment, the in-vehicle HMI 24 displays the risky behavior image 84 and the risk probability image 85 in the surrounding area image 80 only when the risk probability is equal to or greater than the first threshold. In other embodiments, the in-vehicle HMI 24 may always display the risky behavior image 84 and the risk probability image 85 in the surrounding area image 80, regardless of the magnitude of the risk probability. This makes it possible to urge the driver of the first vehicle 71 to take action to avoid risk, even when the risk probability is low.

[0081] In the above embodiment, the server device 18 calculates the risk probability based on the state of the driver of the motorcycle 73. In another embodiment, the server device 18 may calculate the risk probability based on the vehicle speeds of the motorcycle 73 and the second automobile 72 received from the motorcycle 73 and the second automobile 72. For example, when the vehicle speed of the motorcycle 73 is higher than the vehicle speed of the second automobile 72, the server device 18 may calculate the risk probability to be higher than when the vehicle speed of the motorcycle 73 is equal to or lower than the vehicle speed of the second automobile 72.

[0082] In the above embodiment, the in-vehicle HMI 24 displays both the risk probability image 85 and the risk degree image 86 in the surrounding area image 80. In other embodiments, the in-vehicle HMI 24 may display only the risk probability image 85 in the surrounding area image 80.

[0083] In the above embodiment, the automobile 2 (first automobile 71) is an example of the first traffic participant. In other embodiments, a traffic participant other than the automobile 2 (e.g., the motorcycle 3, the bicycle 4, or the pedestrian 5) may be an example of the first traffic participant.

[0084] In the above embodiment, the motorcycle 3 (the motorcycle 73) is an example of the second traffic participant. In other embodiments, a traffic participant other than the motorcycle 3 (for example, the car 2, the bicycle 4, or the pedestrian 5) may be an example of the second traffic participant.

[0085] In the above embodiment, the automobile 2, the motorcycle 3, the bicycle 4, and the pedestrian 5 are examples of the traffic participants. In other embodiments, a moving object other than the automobile 2, the motorcycle 3, the bicycle 4, and the pedestrian 5 (e.g., a Segway, a ship, an airplane, etc.) may be an example of the traffic participant.

[0086] Although the specific embodiment has been described above, the present invention is not limited to the above embodiment and its modified examples, and can be modified in a wide range of ways. [Explanation of symbols]

[0087] 1: Traffic safety support system 2: Automobile (an example of a transportation participant) 3: Motorcycles (an example of a traffic participant) 4: Bicycle (an example of a traffic participant) 5: Pedestrian (an example of a traffic participant) 12: Automobile device group (examples of acquisition devices and notification devices) 13: Motorcycle device group (an example of an acquisition device and a notification device) 14: Bicycle terminal (an example of an acquisition device and a notification device) 15: Pedestrian terminal (an example of an acquisition device and a notification device) 18: Server device 24: In-vehicle HMI (an example of a display device) 32: Vehicle sensors 71: First automobile (an example of a first traffic participant and a first vehicle) 73: Motorcycle (an example of a second traffic participant and a second vehicle) 80: Surrounding area image 83: Motorcycle image (an example of an image showing the position of a second traffic participant) 84: Risky behavior images 85: Risk Probability Image 86: Risk Level Image 87: Gauge image A: Target traffic area L1: First lane (an example of the lane in which the first vehicle is traveling)

Claims

1. An acquisition device for acquiring information on a plurality of traffic participants present in a target traffic area; A server device that predicts future behaviors of the plurality of traffic participants based on information about the plurality of traffic participants acquired by the acquisition device; A traffic safety support system including: a notification device that notifies the plurality of traffic participants based on a prediction result of the server device, the plurality of traffic participants includes a first traffic participant and a second traffic participant; The server device includes: identifying a risk behavior, the behavior of the second traffic participant creating a risk between the first traffic participant and the second traffic participant; Calculating a risk probability, which is the probability that the second traffic participant will take the risky behavior; Sending information about the risk behavior and the risk probability to the first traffic participant; The notification device includes a display device provided in the first traffic participant; the display device displays a surrounding area image showing the surrounding area of ​​the first traffic participant, together with an image showing the position of the second traffic participant, a risk behavior image showing the content of the risk behavior, and a risk probability image showing the risk probability; The server device includes: Calculating a risk level, which is the importance of the risky behavior; Sending information about the risk level to the first traffic participant; The display device is a traffic safety support system that further displays a risk level image indicating the risk level in addition to the surrounding area image.

2. The server device includes: Calculating a time or a distance until the first traffic participant and the second traffic participant come into contact with each other; The traffic safety support system according to claim 1 , wherein the risk level is calculated by multiplying a time or distance until the first traffic participant and the second traffic participant come into contact with each other by the risk probability.

3. The traffic safety support system according to claim 1 , wherein the display device displays the risk degree image on the opposite side of the risk probability image with the risky behavior image in between.

4. the risk probability image indicates the risk probability as a percentage; The traffic safety support system according to claim 3 , wherein the risk level image indicates the risk level by a bar-shaped gauge image.

5. A traffic safety support system as described in any one of claims 1 to 4, wherein the display device displays the risky behavior image and the risk probability image in the surrounding area image only when the risk probability is equal to or greater than a predetermined threshold.

6. 5. The traffic safety support system according to claim 1, wherein the display device displays, as the risky behavior image, an image indicating a direction of the risky behavior.

7. the second traffic participant is a vehicle; The acquisition device includes an on-board sensor that detects a state of a driver of the vehicle, 5. The traffic safety support system according to claim 1, wherein the server device calculates the risk probability based on the detection result of the vehicle-mounted sensor.

8. the first traffic participant is a first vehicle; the second traffic participant is a second vehicle; The traffic safety support system according to any one of claims 1 to 4, wherein the server device identifies a lane change of the second vehicle into a lane in which the first vehicle is traveling as the risky behavior.

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