WO2021024495A1 - During-driving incident notification system, method, and program - Google Patents

During-driving incident notification system, method, and program Download PDF

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Publication number
WO2021024495A1
WO2021024495A1 PCT/JP2019/031527 JP2019031527W WO2021024495A1 WO 2021024495 A1 WO2021024495 A1 WO 2021024495A1 JP 2019031527 W JP2019031527 W JP 2019031527W WO 2021024495 A1 WO2021024495 A1 WO 2021024495A1
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WIPO (PCT)
Prior art keywords
incident
information
driver
behavior
vehicle
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PCT/JP2019/031527
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French (fr)
Japanese (ja)
Inventor
佐藤　公則
秀明 南雲
圭 石山
憲之 根本
将仁 谷口
Original Assignee
株式会社日立物流
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Application filed by 株式会社日立物流 filed Critical 株式会社日立物流
Priority to JP2021537552A priority Critical patent/JP7369775B2/en
Priority to PCT/JP2019/031527 priority patent/WO2021024495A1/en
Publication of WO2021024495A1 publication Critical patent/WO2021024495A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/40—
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
    • G08G1/13—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station the indicator being in the form of a map
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems

Definitions

  • the present invention relates to a driving incident notification system, method and program for notifying an administrator of an incident considering the physical condition of a driver while driving.
  • the present invention is related to IoT (Internet of Things), and the technical field corresponds to G06Q or the like in the IPC classification.
  • Patent Document 1 cannot notify the administrator of an incident in consideration of the physical condition of the driver while driving.
  • an object of the present invention is to provide a driving incident notification system, method and program for notifying an administrator of an incident considering the physical condition of a driver while driving.
  • the first acquisition means for acquiring the biological information of the driver during driving, the first detection means for analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition are When a predetermined condition is satisfied, the first determination means for determining the first incident, the second acquisition means for acquiring the operation information of the driver, and the acquired operation information are analyzed to operate the driver.
  • the second detecting means for detecting the above, the second determining means for determining the second incident when the detected operation satisfies a predetermined condition, and the behavior information of the vehicle driven by the driver are acquired.
  • the third acquisition means and the third detection means that analyzes the acquired behavior information of the vehicle to detect the behavior of the vehicle and the detected behavior are collated with the road sign information to comply with the law.
  • a serious incident occurs when the combination of the third determination means for determining the third incident, the first incident, the second incident and / or the third incident, if not present, satisfies a predetermined condition.
  • an in-driving incident notification system (the system may be a single computer) including a determination means for determining that the event has occurred and a notification means for notifying the administrator of related information regarding the occurrence of the serious incident. ..
  • the step of acquiring the biological information of the driver during driving, the step of analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition satisfy predetermined conditions.
  • a step of determining the first incident, a step of acquiring the operation information of the driver, a step of analyzing the acquired operation information to detect the operation of the driver, and the detected step When the operation satisfies a predetermined condition, the step of determining the second incident, the step of acquiring the behavior information of the vehicle being driven by the driver, and the analysis of the acquired behavior information of the vehicle are performed.
  • a step of determining that a serious incident has occurred and a step of notifying the administrator of relevant information regarding the occurrence of the serious incident when the combination of and / or the third incident meets a predetermined condition. Provide a driving incident notification method.
  • a step of acquiring the biological information of the driver while driving, a step of analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition are predetermined.
  • the step of detecting the behavior of the vehicle the step of collating the detected behavior with the road sign information, and determining the third incident when the vehicle does not comply with the law, the first incident, and the like.
  • the step of determining that a serious incident has occurred and the relevant information regarding the occurrence of the serious incident are notified to the administrator.
  • the biological information of the driver during driving is acquired, the biological information is analyzed, the physical condition is detected, and when the detected physical condition satisfies a predetermined condition, it is determined as the first incident and the driver
  • the motion information is acquired, the motion information is analyzed, the motion is detected, and when the detected motion satisfies a predetermined condition, it is determined as a second incident, the vehicle behavior information is acquired, and the behavior information is analyzed. , If the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident is determined.
  • the present invention acquires the biological information of the driver during driving, analyzes the biological information, detects the physical condition, and if the detected physical condition satisfies a predetermined condition, determines that it is the first incident and operates the driver.
  • Information is acquired, motion information is analyzed, motion is detected, and when the detected motion satisfies a predetermined condition, it is determined as a second incident, vehicle behavior information is acquired, and the behavior information is analyzed. If the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident is predetermined. If the above conditions are met, it is determined that a serious incident has occurred, and the administrator is notified of the relevant information of the serious incident.
  • FIG. 1 is a conceptual diagram showing an outline of the in-operation incident notification system according to the present embodiment.
  • the server 50 the terminal 20 mounted on the vehicle 10
  • the terminal of the administrator 90 preferably a mobile terminal such as a smartphone or tablet
  • the vehicle 10 is equipped with a driver biometric information sensing unit 40, a vehicle information sensing unit 42, and a driver motion sensing unit 44, and the information detected by these is transmitted to the terminal 20 by short-range wireless communication, and the terminal 20 Sends the received information to the server 50 via the communication unit and the network.
  • the driver biometric information sensing unit 40 includes, for example, a handle cover type electrocardiograph 22 and a seat cover type electrocardiograph 24, whereby an electrocardiographic waveform which is biometric information of the driver 12 can be obtained. Further, the driver biological information sensing 40 may acquire biological information such as pulse wave, electroencephalogram, blood pressure, and body temperature in addition to the electrocardiographic waveform.
  • the acquired biometric information of the driver during driving is transmitted to the server 50 via the terminal 20, for example (step S1).
  • the server 50 analyzes the acquired biological information to detect the physical condition of the driver 12 (for example, fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, allergic symptom, etc.), and the detected physical condition is determined. When a predetermined condition is satisfied (for example, it is better not to drive because the degree of fatigue is high), it is determined as the first incident.
  • the driver motion sensing unit 44 includes, for example, IoT (Internet of Things) drive recorders 30A and 30B including a camera for the outside of the vehicle and a camera for the inside of the vehicle, and an image of the camera for the vehicle interior, which is operation information of the driver 12, can be obtained. Further, the driver motion sensing unit 44 may acquire motion information of the driver 12 from a handle sensor, a motion sensor, or the like (not shown) in addition to the image for the inside of the vehicle. The acquired operation information of the driver 12 may be transmitted to the server 50 via the communication unit of the IoT drive recorders 30A and 30B, or may be transmitted to the server 50 via the terminal 20 (step S2). ).
  • IoT Internet of Things
  • the server 50 analyzes the acquired operation information, detects the operation of the driver 12, and when the detected operation satisfies a predetermined condition (for example, inattentive driving or driving while operating a mobile terminal). Is off for 2 seconds or more, sleepy movement, etc.), it is judged as a second incident.
  • a predetermined condition for example, inattentive driving or driving while operating a mobile terminal. Is off for 2 seconds or more, sleepy movement, etc.), it is judged as a second incident.
  • the IoT drive recorders 30A and 30B are also used for vehicle behavior detection as will be described later, and also perform constant recording and video cutting.
  • the vehicle behavior sensing unit 42 includes, for example, an outward drive recorder 26, a danger notification button 28, and the IoT drive recorders 30A and 30B, which perform inter-vehicle distance, lane departure, pressing date and time, constant recording, video cutting, and the like.
  • the behavior information of the vehicle 10 (for example, speed, acceleration, brake, position information, etc.) is acquired (step S3).
  • the acquired behavior information of the vehicle 10 may be transmitted to the server 50 via the terminal 20, or may be transmitted directly from the sensors to the server 50 when the sensors have a communication function. Good.
  • the server 50 analyzes the acquired behavior information, detects the behavior of the vehicle 10, and collates the detected behavior with the road sign information (for example, image analysis of the external cameras of the IoT drive recorders 30A and 30B). If the road sign is specified by the camera, the road sign is specified from the map information, etc.) and the law is not complied with, it is judged as the third incident.
  • the road sign information for example, image analysis of the external cameras of the IoT drive recorders 30A and 30B.
  • the server 50 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident meets a predetermined condition, and the related information regarding the occurrence of the serious incident.
  • the administrator 90 is notified (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (moving image or still image), etc.) (step S4).
  • the notification to the administrator 90 is preferably a notification to a mobile terminal such as a smartphone or tablet.
  • the administrator 90 can quickly obtain the incident occurrence information of the driver 12 and take the next action.
  • the notification to the PC of the administrator 90 may also be performed.
  • the server 50 analyzes the vehicle behavior information acquired in step S3, detects a dangerous driving degree (for example, sudden start, sudden braking, sudden steering, etc.), and determines the detected dangerous driving degree. If the condition of the above is satisfied, it may be determined as the fourth incident. In this case, when the combination of the first incident, the second incident and / or the third incident, and the fourth incident meets the predetermined conditions, it is determined that the incident is a serious incident, and a serious incident has occurred. Notify administrator 90 of relevant information regarding.
  • a dangerous driving degree for example, sudden start, sudden braking, sudden steering, etc.
  • the server 50 may learn the individual difference of the driver 12 and optimize a predetermined condition for determining each incident for each driver 12, and may optimize the predetermined conditions according to the physical condition of the driver 12 before departure. Predetermined conditions may be optimized.
  • the server 50 described above may be a single computer, for example, a terminal. Further, the functional configuration described later may be a computer system (cloud) executed by different computers. Further, in the present embodiment, although many processes are executed on the server 50, information acquisition, analysis / detection, and incident determination may be performed on the edge (sensors, etc.) side. By performing a lot of processing on the edge side, the amount of data transmitted to the server 50 can be reduced.
  • the vehicle 10 obtains the driver biometric information sensing unit 40 for obtaining the biometric information of the driver 12, the vehicle information sensing unit 42 for obtaining the behavior information of the vehicle 10 being driven by the driver 12, and the operation information of the driver 12. It is provided with a driver motion sensing unit 44 for obtaining.
  • the driver biometric information sensing unit 40 includes a steering wheel type electrocardiograph 22 and a seat cover type electrocardiograph 24.
  • the vehicle behavior sensing unit 42 includes a vehicle outward drive recorder 26, a danger notification button 28, and the like.
  • the danger notification button 28 is a button that can be pressed when an incident occurs that the driver 12 notices inside or outside the vehicle regardless of various sensing devices, and is for obtaining incident occurrence information at the discretion of the driver 12. For example, when there is an interruption in front of the driving vehicle, when there is a falling object or a scattered object, or when there is an event that may lead to a danger that cannot be detected by the in-vehicle device, the driver 12 himself determines and presses the button. When the danger notification button 28 is pressed, the time and position are recorded as incident occurrence information, and for example, an image (moving image or still image) captured by the drive recorder is cut out and transmitted to the server 50.
  • the IoT drive recorders 30A and 30B also sense the behavior of the vehicle 10 together with these.
  • the driver motion sensing unit 44 includes IoT drive recorders 30A and 30B provided with a camera for the outside of the vehicle and a camera for the inside of the vehicle.
  • the communication unit 46 transmits information obtained by various sensors and an image (moving image or still image) captured by the drive recorder to the server 50 and provides the information via the network. Of course, other information may be provided as needed.
  • the server 50 includes a processor 52, a memory 54, a storage 56, and a communication unit 68, which are connected by a bus (not shown).
  • the processor 52 is configured by, for example, a CPU (Central Processing Unit), and performs various processes by reading and executing various programs stored in the memory 54.
  • the memory 54 stores a program to be executed by the processor 52, and is composed of, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, various means shown in FIG. 4 are stored.
  • the storage 56 includes acquired information 58, first incident determination condition 50, second incident determination condition 62, road sign information 63, fourth incident determination condition 64, serious incident determination condition 65, incident-related information 66, map information 67, and the like. It stores a control program (not shown).
  • the acquired information 58 includes, for example, biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 while driving, operation information of the driver 12 (vehicle inward camera image, handle sensor information, motion sensor information, etc.). ) And the behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 driven by the driver 12.
  • biological information electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.
  • operation information of the driver 12 vehicle inward camera image, handle sensor information, motion sensor information, etc.
  • behavior information speed, acceleration, brake, position information, etc.
  • the first incident determination condition 60 is a determination standard for analyzing the acquired biological information to detect the physical condition of the driver 12 and determining whether or not the detected physical condition corresponds to the first incident. For example, if the driver 12 has a high degree of fatigue, there is a standard that it is better not to drive.
  • the second incident determination condition 62 is a determination criterion for analyzing the acquired operation information of the driver 12 to detect the operation of the driver 12 and determining whether or not the detected operation corresponds to the second incident. is there. For example, if the line of sight is off for 2 seconds or more during inattentive driving or driving while using a mobile terminal, or if the driver behaves in a sleepy manner, a standard is set to correspond to the second incident.
  • the road sign information 63 analyzes the acquired behavior information of the driver 12 to detect the behavior of the vehicle 10, and determines whether or not the detected behavior corresponds to the third incident depending on whether or not the detected behavior complies with the law. It is a standard to do. For example, it is determined whether or not the behavior of the vehicle 10 complies with the law by specifying the road sign from the image analysis of the vehicle outward camera, specifying the road sign from the map information, and the like.
  • the fourth incident determination condition 64 is a determination criterion for analyzing the acquired behavior information of the vehicle 10 to detect the dangerous driving degree and determining whether or not the dangerous driving degree corresponds to the fourth incident. .. For example, it can be determined by using a reference in which the behavior information of the vehicle 10 and the driving content are associated with each other. Specifically, the behavior information is analyzed and the vehicle collides with the vehicle in front when traveling at the same vehicle speed. If there is a high possibility that an accident will occur if you continue driving, such as when the occurrence of G is extremely large in any of the top, bottom, left, right, front and back, or if it is judged to be in a dangerous state If this is the case, there is a standard that it corresponds to the fourth incident.
  • the serious incident determination condition 65 is a criterion for determining whether or not the combination of the first incident and the second incident and / or the third incident corresponds to a serious incident. Further, when the determination of the fourth incident is performed, in order to determine whether or not the combination of the first incident, the second incident and / or the third incident, and the fourth incident corresponds to a serious incident. Is the standard of.
  • Incident-related information 67 is related information regarding the occurrence of a serious incident (for example, occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (moving image or still image), etc.).
  • Map information 67 is information used when the terminal of the administrator 90 is shown with a map related information regarding the occurrence of a serious incident. Further, as described above, the map information 67 may be used to specify the road sign information 63. In addition, when information on traffic is added, such as a place where an accident or traffic jam is likely to occur, it can also be used when selecting an operation route.
  • the communication unit 68 receives and acquires the information obtained by the various sensors of the vehicle 10 and the image (moving image or still image) captured by the drive recorder via the network. Of course, other information may be acquired as needed.
  • the server 50 includes the first acquisition means 70, the first detection means 71, the first determination means 72, the second acquisition means 73, the second detection means 74, the second determination means 76, and the third acquisition means. 77, a third detection means 78, a third determination means 80, a fourth detection means 81, a fourth determination means 82, a determination means 84, a notification means 86, and a learning means 88 are provided.
  • the first acquisition means 70 acquires biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 while driving.
  • biological information electronic information
  • the biometric information obtained by the driver biometric information sensing unit 40 of the vehicle 10 is transmitted to the server 50 via the terminal 20, and the server 50 acquires the biometric information by receiving the transmitted information.
  • the acquired biometric information is stored in the acquired information 58 of the storage 56.
  • the first detection means 71 analyzes the biological information acquired by the first acquisition means 70 and detects the physical condition of the driver 12 (fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, allergy determination, etc.). To do.
  • the first determination means 72 determines that the physical condition detected by the first detection means 71 is a first incident when a predetermined condition (high degree of fatigue and better not to drive, etc.) is satisfied. The determination of whether or not it is the first incident is performed depending on whether or not the first incident determination condition 60 is satisfied.
  • the second acquisition means 73 acquires the operation information of the driver 12 (image of the inward camera, handle sensor information, motion sensor information, etc.). For example, the operation information of the driver 12 obtained by the driver operation sensing unit 44 of the vehicle 10 is transmitted to the server 50 directly by the IoT drive recorders 30A and 30B or via the terminal 20, and the server 50 transmits the transmitted information. The operation information of the driver 12 is acquired by receiving. The acquired operation information is stored in the acquired information 58 of the storage 56.
  • the second detection means 74 analyzes the operation information acquired by the second acquisition means 73 and detects the operation of the driver 12.
  • the second determination means 76 seems to be sleepy when the operation detected by the second detection means 74 satisfies a predetermined condition (when the line of sight is off for 2 seconds or more during inattentive driving / driving while operating the mobile terminal). It is determined to be a second incident when an operation is performed. Whether or not it is a second incident is determined based on whether or not the second incident determination condition 62 is satisfied.
  • the third acquisition means 77 acquires behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 being driven by the driver 12.
  • the behavior information of the vehicle 10 obtained by the vehicle behavior sensing unit 42 of the vehicle 10 is transmitted to the server 50 via the terminal 20.
  • the behavior information of the vehicle 10 may be transmitted directly from the edge side to the server 50.
  • the server 50 acquires the behavior information of the vehicle 10 by receiving the transmitted information.
  • the acquired behavior information is stored in the acquired information of the storage 56.
  • the third detection means 78 analyzes the behavior information acquired by the third acquisition means 77 to detect the behavior of the vehicle 10.
  • the third determination means 80 collates the behavior detected by the third detection means 78 with the road sign information 63 (identification of the road sign by image analysis of the vehicle outward camera, identification of the road sign from the map information, etc.) and complies with the law. If this is not the case, it is determined to be a third incident.
  • the fourth detection means 81 analyzes the behavior information of the vehicle 10 acquired by the third acquisition means 77 to detect the degree of dangerous driving (sudden start, sudden braking, sudden steering, etc.).
  • the fourth determination means 82 determines the fourth incident when the degree of dangerous driving detected by the fourth detection means 81 satisfies a predetermined condition. The determination as to whether or not it is the fourth incident is performed depending on whether or not the fourth incident determination condition 64 is satisfied.
  • the determination means 84 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident satisfies a predetermined condition. Whether or not it is a serious incident is determined based on whether or not the serious incident determination condition 65 is satisfied. When the fourth incident is determined, the combination of the first incident, the second incident and / or the third incident, and the fourth incident satisfies a predetermined condition (serious incident determination condition 65). In addition, it is judged as a serious incident.
  • the notification means 86 notifies the administrator 90 of related information (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.) regarding the occurrence of a serious incident. is there.
  • the incident-related information 66 is transmitted to the administrator terminal 92 via the communication unit 68 and displayed on the display unit 94 of the administrator terminal 92 to give a notification.
  • the means of notification is not limited to this.
  • the learning means 88 learns the individual difference of the driver 12, and among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) for each driver. One or more of the conditions) are optimized. By reflecting the individual differences of the drivers 12 in the incident determination conditions, more accurate incident determination can be performed. Further, the learning means 88 is among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) according to the physical condition of the driver 12 before departure. One or more of the conditions) may be optimized. By reflecting the physical condition of the driver 12 before departure in the incident determination condition, it is possible to make a more accurate determination of the incident by taking into account the physical condition of the driver 12 on the day.
  • the administrator terminal 92 is preferably a mobile terminal such as a smartphone or tablet. This is to make it easier for the administrator 90 to quickly obtain the incident occurrence information of the driver 12 and take the next action.
  • the administrator terminal 92 includes a display unit 94, an input unit 96, and a communication unit 98.
  • the display unit 94 and the input unit 96 are, for example, a touch panel, but the present invention is not limited thereto.
  • the communication unit 98 receives the incident-related information 66 from the server 50 via the network. Of course, other information may be received, or information may be provided (transmitted) to the server 50. It should be noted that the administrator terminal 92 does not prevent the use of a PC or the like in combination with the above-mentioned mobile terminal such as a smartphone or tablet.
  • the first acquisition means 70 of the server 50 acquires the biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 during driving (step S10).
  • the biometric information obtained by the driver biometric information sensing unit 40 of the vehicle 10 is transmitted to the server 50 via the terminal 20, and the server 50 receives the transmitted information to acquire the biometric information.
  • the acquired biometric information is stored in the acquired information 58 of the storage 56.
  • the first detection means 71 of the server 50 analyzes the biological information acquired by the first acquisition means 70, and the physical condition of the driver 12 (fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, etc. (Allergy determination, etc.) is detected (step S12).
  • the first determination means 72 of the server 50 determines that the physical condition detected by the first detection means 71 is the first incident when the predetermined condition is satisfied (the degree of fatigue is high and it is better not to drive). (Step S14). The determination of whether or not it is the first incident is performed depending on whether or not the first incident determination condition 60 is satisfied.
  • the second acquisition means 73 acquires the operation information of the driver 12 (image of the inward camera, handle sensor information, motion sensor information, etc.) (step S20). ).
  • the operation information of the driver 12 obtained by the driver operation sensing unit 44 of the vehicle 10 is transmitted to the server 50 directly by the IoT drive recorders 30A and 30B or via the terminal 20, and the information transmitted by the server 50.
  • the operation information of the driver 12 is acquired by receiving.
  • the acquired operation information is stored in the acquired information 58 of the storage 56.
  • the second detection means 74 of the server 50 analyzes the operation information acquired by the second acquisition means 73 and detects the operation of the driver 12 (step S22).
  • the second determination means 76 fell asleep when the operation detected by the second detection means 74 satisfied a predetermined condition (distracted driving, driving while operating the mobile terminal and deviating from the line of sight for 2 seconds or more). When such an operation is performed), it is determined as a second incident (step S24). Whether or not it is a second incident is determined based on whether or not the second incident determination condition 62 is satisfied.
  • the third acquisition means 77 of the server 50 provides behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 driven by the driver 12.
  • the behavior information of the vehicle 10 obtained by the vehicle behavior sensing unit 42 of the vehicle 10 is transmitted to the server 50 via the terminal 20.
  • the behavior information of the vehicle 10 may be transmitted directly from the edge side to the server 50.
  • the server 50 acquires the behavior information of the vehicle 10 by receiving the transmitted information.
  • the acquired behavior information is stored in the acquired information 58 of the storage 56.
  • the third detection means 78 of the server 50 analyzes the behavior information acquired by the third acquisition means 77 and detects the behavior of the vehicle 10 (step S32).
  • the third determination means 80 of the server 50 collates the behavior detected by the third detection means 78 with the road sign information 63 (road sign identification by image analysis of the vehicle outward camera, road sign from map information). (Specification, etc.), if it does not comply with the law, it is determined as a third incident (step S34).
  • the determination means 84 of the server 50 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident satisfies a predetermined condition (step S40). ). Whether or not it is a serious incident is determined based on whether or not the serious incident determination condition 65 is satisfied.
  • the notification means 86 of the server 50 provides the administrator 90 with related information (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.) regarding the occurrence of a serious incident.
  • related information occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.
  • the incident-related information 66 is transmitted to the administrator terminal 92 via the communication unit 68 and displayed on the display unit 94 of the administrator terminal 92 to give a notification.
  • the means of notification is not limited to this.
  • FIG. 7 shows a display example of serious incident-related information displayed on the administrator terminal 92.
  • the display unit 94 of the administrator terminal 92 As shown in FIG. 7, on the display unit 94 of the administrator terminal 92, as "serious event notification", “vehicle number: a 111”, “employee number: BB123456", “occurrence event: forward collision warning", " The map 101 is displayed together with the text information such as "occurrence time: 2019/04/19 13:27:30".
  • the icon 102 is shown at the point where the serious event occurred.
  • a screen for playing a moving image is displayed below the map 101.
  • the image 106 shown on the right side of FIG. 6 is shown, the outside image 106A is shown in the upper row, and the outside image 106A is shown in the lower row.
  • the inside image 106B is shown in 106B, and the state outside the car and the state inside the car (the state of the driver) can be confirmed. Note that these images may be still images or moving images.
  • the terminal of the administrator 90 is notified, which helps to perform appropriate follow-up and prevent an accident. ..
  • the administrator 90 can quickly obtain the incident occurrence information of the driver 12 and take the next action.
  • the fourth server 50 when the occurrence of the fourth incident is taken into consideration in the determination of the serious incident, the fourth server 50 is performed in parallel with steps S10 to 14, steps S20 to 24, and steps S30 to 34 described above.
  • the detection means 81 analyzes the behavior information of the vehicle 10 acquired by the third acquisition means 77 to detect the degree of dangerous driving (sudden start, sudden braking, sudden steering, etc.).
  • the fourth determination means 82 of the server 50 determines that it is a fourth incident when the dangerous driving degree detected by the fourth detection means 81 satisfies a predetermined condition. The determination as to whether or not it is the fourth incident is performed depending on whether or not the fourth incident determination condition 64 is satisfied.
  • the determination means of the server 50 is that the combination of the first incident, the second incident and / or the third incident, and the fourth incident is a predetermined condition (serious incident determination).
  • the condition 65) is satisfied, it is determined as a serious incident.
  • the individual difference of the driver 12 is learned by the learning means 88, and predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, seriousness) are learned for each driver.
  • predetermined conditions first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, seriousness
  • One or more of the incident determination conditions 65 may be optimized. By reflecting the individual differences of the drivers 12 in the incident determination conditions, more accurate incident determination can be performed.
  • the learning means 88 is among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) according to the physical condition of the driver 12 before departure.
  • One or more of the conditions may be optimized. By reflecting the physical condition of the driver 12 before departure in the incident determination condition, it is possible to make a more accurate determination of the incident by taking into account the physical condition of the driver 12 on the day.
  • the server 50 may be a single computer, for example, a terminal.
  • the above-mentioned functional configuration may be a computer system (cloud) executed by different computers.
  • information acquisition, analysis / detection, and incident determination may be performed on the edge (sensors, etc.) side. By performing a lot of processing on the edge side, the amount of data transmitted to the server 50 can be reduced.
  • the present invention may be provided as a program executed by the server 50.
  • the program may be provided as recorded on a computer-readable recording medium or may be downloaded over a network.
  • the present invention may also be provided as an invention of the method.
  • the biometric information of the driver during driving is acquired, the biometric information is analyzed, the physical condition is detected, and if the detected physical condition satisfies a predetermined condition, it is determined as the first incident and the driver.
  • the motion information of the vehicle is acquired, the motion information is analyzed, the motion is detected, and the detected motion satisfies a predetermined condition, it is determined as a second incident, the vehicle behavior information is acquired, and the behavior information is analyzed.
  • the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident.

Abstract

[Problem] The present invention notifies an administrator of incidents in consideration of the physical condition of a driver during driving. [Solution] Biological information pertaining to the driver during driving is acquired (step S1). The biological information is analyzed, a physical condition is detected, a first incident is assessed to have occurred if the detected physical condition satisfies prescribed conditions, and operation information pertaining to the driver is acquired (step S2). The operation information is analyzed, an operation is detected, a second incident is assessed to have occurred if the detected operation satisfies prescribed conditions, and behavior information pertaining to a vehicle is acquired (step S3). The behavior information is analyzed, behavior is detected, the detected behavior is collated with road sign information, and a third incident is assessed to have occurred if the behavior found not to be in legal compliance. If the combination of these incidents satisfies prescribed conditions, it is determined that a serious incident has occurred, and the administrator is notified of information related to the serious incident.

Description

運転中インシデント通知システム、方法及びプログラムIncident notification system, method and program while driving
　本発明は、運転中のドライバーの体調を考慮したインシデントを管理者に通知する運転中インシデント通知システム、方法及びプログラムに関する。本発明は、ＩｏＴ（Internet of Things）に関連し、技術分野はＩＰＣ分類においてＧ０６Ｑ等に該当する。 The present invention relates to a driving incident notification system, method and program for notifying an administrator of an incident considering the physical condition of a driver while driving. The present invention is related to IoT (Internet of Things), and the technical field corresponds to G06Q or the like in the IPC classification.
　近年、事故を未然に防ぐためのＩＴ技術が注目されている。例えば、遭遇する蓋然性の高いインシデントが発生した地点に対する注意を喚起するために、運転者の生体情報から、運転者のインシデントの遭遇の有無を判定し、インシデントに遭遇している場合、現在位置がインシデント地点として１回カウントして、現在位置が所定距離以内に接近中の地点がインシデント地点として登録されているカウントが所定値以上の場合に、地図上の、存在したインシデントデータのインシデント地点に対応する位置に注意マークを表示する技術が提供されている。 In recent years, IT technology for preventing accidents has been attracting attention. For example, in order to call attention to the point where an incident with a high probability of being encountered has occurred, it is determined from the driver's biometric information whether or not the driver has encountered an incident, and if an incident has been encountered, the current position is It is counted once as an incident point, and when the count that the current position is approaching within a predetermined distance is registered as an incident point is equal to or more than the predetermined value, it corresponds to the incident point of the existing incident data on the map. A technique for displaying a caution mark at a position where a driver is required is provided.
特開２０１７－０３７３５９号公報Japanese Unexamined Patent Publication No. 2017-0373559
　事故を未然に防ぐためには、運転中のドライバーの体調を考慮したインシデントを管理者に通知することが重要である。しかしながら、特許文献１の技術では、運転中のドライバーの体調を考慮したインシデントを管理者に通知することができない。 In order to prevent accidents, it is important to notify the administrator of an incident that takes into consideration the physical condition of the driver while driving. However, the technique of Patent Document 1 cannot notify the administrator of an incident in consideration of the physical condition of the driver while driving.
　本発明は、以上の課題に鑑み、運転中のドライバーの体調を考慮したインシデントを管理者に通知する運転中インシデント通知システム、方法及びプログラムを提供することを目的とする。 In view of the above problems, an object of the present invention is to provide a driving incident notification system, method and program for notifying an administrator of an incident considering the physical condition of a driver while driving.
　本発明は、運転中のドライバーの生体情報を取得する第１取得手段と、前記取得された生体情報を解析して、前記ドライバーの体調を検出する第１検出手段と、前記検出された体調が所定の条件を満たした場合に、第１インシデントと判定する第１判定手段と、前記ドライバーの動作情報を取得する第２取得手段と、前記取得された動作情報を解析して、前記ドライバーの動作を検出する第２検出手段と、前記検出された動作が所定の条件を満たした場合に、第２インシデントと判定する第２判定手段と、前記ドライバーが運転している車両の挙動情報を取得する第３取得手段と、前記取得された車両の挙動情報を解析して、前記車両の挙動を検出する第３検出手段と、前記検出された挙動を道路標識情報と照合して、法令遵守していない場合に、第３インシデントと判定する第３判定手段と、前記第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定する決定手段と、前記重大インシデントが発生したことに関する関連情報を管理者に通知する通知手段と、を備える運転中インシデント通知システム（システムは単体のコンピュータであってもよい）を提供する。 In the present invention, the first acquisition means for acquiring the biological information of the driver during driving, the first detection means for analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition are When a predetermined condition is satisfied, the first determination means for determining the first incident, the second acquisition means for acquiring the operation information of the driver, and the acquired operation information are analyzed to operate the driver. The second detecting means for detecting the above, the second determining means for determining the second incident when the detected operation satisfies a predetermined condition, and the behavior information of the vehicle driven by the driver are acquired. The third acquisition means and the third detection means that analyzes the acquired behavior information of the vehicle to detect the behavior of the vehicle and the detected behavior are collated with the road sign information to comply with the law. A serious incident occurs when the combination of the third determination means for determining the third incident, the first incident, the second incident and / or the third incident, if not present, satisfies a predetermined condition. Provided is an in-driving incident notification system (the system may be a single computer) including a determination means for determining that the event has occurred and a notification means for notifying the administrator of related information regarding the occurrence of the serious incident. ..
　また、本発明は、運転中のドライバーの生体情報を取得するステップと、前記取得された生体情報を解析して、前記ドライバーの体調を検出するステップと、前記検出された体調が所定の条件を満たした場合に、第１インシデントと判定するステップと、前記ドライバーの動作情報を取得するステップと、前記取得された動作情報を解析して、前記ドライバーの動作を検出するステップと、前記検出された動作が所定の条件を満たした場合に、第２インシデントと判定するステップと、前記ドライバーが運転している車両の挙動情報を取得するステップと、前記取得された車両の挙動情報を解析して、前記車両の挙動を検出するステップと、前記検出された挙動を道路標識情報と照合して、法令遵守していない場合に、第３インシデントと判定するステップと、前記第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定するステップと、前記重大インシデントが発生したことに関する関連情報を管理者に通知するステップと、を備える運転中インシデント通知方法を提供する。 Further, in the present invention, the step of acquiring the biological information of the driver during driving, the step of analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition satisfy predetermined conditions. When the conditions are satisfied, a step of determining the first incident, a step of acquiring the operation information of the driver, a step of analyzing the acquired operation information to detect the operation of the driver, and the detected step. When the operation satisfies a predetermined condition, the step of determining the second incident, the step of acquiring the behavior information of the vehicle being driven by the driver, and the analysis of the acquired behavior information of the vehicle are performed. The step of detecting the behavior of the vehicle, the step of collating the detected behavior with the road sign information and determining the third incident when the vehicle does not comply with the law, the first incident, and the second incident. A step of determining that a serious incident has occurred and a step of notifying the administrator of relevant information regarding the occurrence of the serious incident when the combination of and / or the third incident meets a predetermined condition. Provide a driving incident notification method.
　更に、本発明は、コンピュータに、運転中のドライバーの生体情報を取得するステップと、前記取得された生体情報を解析して、前記ドライバーの体調を検出するステップと、前記検出された体調が所定の条件を満たした場合に、第１インシデントと判定するステップと、前記ドライバーの動作情報を取得するステップと、前記取得された動作情報を解析して、前記ドライバーの動作を検出するステップと、前記検出された動作が所定の条件を満たした場合に、第２インシデントと判定するステップと、前記ドライバーが運転している車両の挙動情報を取得するステップと、前記取得された車両の挙動情報を解析して、前記車両の挙動を検出するステップと、前記検出された挙動を道路標識情報と照合して、法令遵守していない場合に、第３インシデントと判定するステップと、前記第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定するステップと、前記重大インシデントが発生したことに関する関連情報を管理者に通知するステップと、を実行させるための運転中インシデント通知プログラムを提供する。 Further, in the present invention, a step of acquiring the biological information of the driver while driving, a step of analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition are predetermined. A step of determining the first incident, a step of acquiring the operation information of the driver, a step of analyzing the acquired operation information to detect the operation of the driver, and the step of detecting the operation of the driver when the above conditions are satisfied. When the detected motion satisfies a predetermined condition, the step of determining the second incident, the step of acquiring the behavior information of the vehicle being driven by the driver, and the analysis of the acquired behavior information of the vehicle. Then, the step of detecting the behavior of the vehicle, the step of collating the detected behavior with the road sign information, and determining the third incident when the vehicle does not comply with the law, the first incident, and the like. When the combination of the second incident and / or the third incident meets the predetermined conditions, the step of determining that a serious incident has occurred and the relevant information regarding the occurrence of the serious incident are notified to the administrator. Provides a driving incident notification program to perform and to execute.
　本発明によれば、運転中のドライバーの生体情報を取得し、生体情報を解析し、体調を検出し、検出された体調が所定の条件を満たしたら、第１インシデントと判定して、ドライバーの動作情報を取得し、動作情報を解析し、動作を検出し、検出された動作が所定の条件を満たしたら、第２インシデントと判定して、車両の挙動情報を取得し、挙動情報を解析し、挙動を検出し、検出された挙動を道路標識情報と照合して法令遵守していなかったら、第３インシデントと判定して、第１インシデントと、第２インシデントおよび／または第３インシデントの組み合わせが所定の条件を満たしたら、重大インシデントが発生したと決定して、重大インシデントの関連情報を管理者に通知することとした。このため、運転中のドライバーの体調を考慮したインシデントを管理者に通知することができる。そして、管理者がフォローすべき危険な状況（重大インシデント）が検知された際に、管理者のもつ端末へ通知することで、管理者９０が適切なフォローを行って事故を未然に防ぐのに役立つ。 According to the present invention, the biological information of the driver during driving is acquired, the biological information is analyzed, the physical condition is detected, and when the detected physical condition satisfies a predetermined condition, it is determined as the first incident and the driver The motion information is acquired, the motion information is analyzed, the motion is detected, and when the detected motion satisfies a predetermined condition, it is determined as a second incident, the vehicle behavior information is acquired, and the behavior information is analyzed. , If the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident is determined. When the prescribed conditions were met, it was decided that a serious incident had occurred, and the administrator was notified of the relevant information on the serious incident. Therefore, it is possible to notify the administrator of an incident considering the physical condition of the driver while driving. Then, when a dangerous situation (serious incident) that the administrator should follow is detected, by notifying the terminal of the administrator, the administrator 90 can perform appropriate follow-up and prevent an accident. Useful.
本発明の一実施形態の運転中インシデント通知システムを用いた全体構成を示す概念図である。It is a conceptual diagram which shows the whole structure using the in-operation incident notification system of one Embodiment of this invention. 前記実施形態の車両の構成を示すブロック図である。It is a block diagram which shows the structure of the vehicle of the said embodiment. 前記実施形態のサーバのハードウェア構成を示すブロック図である。It is a block diagram which shows the hardware configuration of the server of the said embodiment. 前記実施形態のサーバの機能構成を示すブロック図である。It is a block diagram which shows the functional structure of the server of the said embodiment. 前記実施形態の管理者端末の構成を示すブロック図である。It is a block diagram which shows the structure of the manager terminal of the said embodiment. 前記実施形態の運転中インシデント通知処理の一例を示すフローチャートである。It is a flowchart which shows an example of the incident notification processing during operation of the said embodiment. 管理者端末に表示される重大インシデント関連情報の表示例を示す図である。It is a figure which shows the display example of the serious incident-related information displayed on the administrator terminal.
　本発明は、運転中のドライバーの生体情報を取得し、生体情報を解析し、体調を検出して、検出された体調が所定の条件を満たしたら、第１インシデントと判定して、ドライバーの動作情報を取得し、動作情報を解析し、動作を検出し、検出された動作が所定の条件を満たしたら、第２インシデントと判定して、車両の挙動情報を取得し、挙動情報を解析し、挙動を検出し、検出された挙動を道路標識情報と照合して法令遵守していなかったら、第３インシデントと判定して、第１インシデントと、第２インシデントおよび／または第３インシデントの組み合わせが所定の条件を満たしたら、重大インシデントが発生したと決定して、重大インシデントの関連情報を管理者に通知するものである。 The present invention acquires the biological information of the driver during driving, analyzes the biological information, detects the physical condition, and if the detected physical condition satisfies a predetermined condition, determines that it is the first incident and operates the driver. Information is acquired, motion information is analyzed, motion is detected, and when the detected motion satisfies a predetermined condition, it is determined as a second incident, vehicle behavior information is acquired, and the behavior information is analyzed. If the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident is predetermined. If the above conditions are met, it is determined that a serious incident has occurred, and the administrator is notified of the relevant information of the serious incident.
　＜全体構成＞・・・図１は、本実施形態に係る運転中インシデント通知システムの概要を示す概念図である。運転中インシデント通知システム１００（以下「システム」とする）１００は、サーバ５０と、車両１０に搭載された端末２０と、管理者９０の端末（スマートフォンやタブレットなどの携帯端末が好ましい）とがインターネットを含むネットワークを介して相互にデータ通信可能となっている。車両１０には、ドライバー生体情報センシング部４０、車両情報センシング部４２、ドライバー動作センシング部４４が搭載されており、これらによって検知された情報が、近距離無線通信によって端末２０に送信され、端末２０は、受信した情報を、通信部およびネットワークを介してサーバ５０に送信する。 <Overall configuration> ... FIG. 1 is a conceptual diagram showing an outline of the in-operation incident notification system according to the present embodiment. In the driving incident notification system 100 (hereinafter referred to as "system") 100, the server 50, the terminal 20 mounted on the vehicle 10, and the terminal of the administrator 90 (preferably a mobile terminal such as a smartphone or tablet) are connected to the Internet. It is possible to communicate data with each other via a network including. The vehicle 10 is equipped with a driver biometric information sensing unit 40, a vehicle information sensing unit 42, and a driver motion sensing unit 44, and the information detected by these is transmitted to the terminal 20 by short-range wireless communication, and the terminal 20 Sends the received information to the server 50 via the communication unit and the network.
　ドライバー生体情報センシング部４０は、例えば、ハンドルカバー型心電計２２や、シートカバー型心電計２４が含まれ、これらによってドライバー１２の生体情報である心電波形が得られる。また、ドライバー生体情報センシング４０は、心電波形のほかに、脈波、脳波、血圧、体温などの生体情報を取得してもよい。取得された運転中のドライバーの生体情報は、例えば、前記端末２０を介してサーバ５０に送信される（ステップＳ１）。サーバ５０では、取得された生体情報を解析して、ドライバー１２の体調（例えば、疲労度、眠気、痴呆、抑鬱、集中力、急変可能性、アレルギー症状など）を検出し、検出された体調が所定の条件を満たした場合（例えば、疲労度が高いので運転しないほうがよいなど）に、第１インシデントと判定する。 The driver biometric information sensing unit 40 includes, for example, a handle cover type electrocardiograph 22 and a seat cover type electrocardiograph 24, whereby an electrocardiographic waveform which is biometric information of the driver 12 can be obtained. Further, the driver biological information sensing 40 may acquire biological information such as pulse wave, electroencephalogram, blood pressure, and body temperature in addition to the electrocardiographic waveform. The acquired biometric information of the driver during driving is transmitted to the server 50 via the terminal 20, for example (step S1). The server 50 analyzes the acquired biological information to detect the physical condition of the driver 12 (for example, fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, allergic symptom, etc.), and the detected physical condition is determined. When a predetermined condition is satisfied (for example, it is better not to drive because the degree of fatigue is high), it is determined as the first incident.
　ドライバー動作センシング部４４は、例えば、車外向けカメラや車内向けカメラを含むＩｏＴ（Internet of Things）ドライブレコーダ３０Ａ、３０Ｂを含み、ドライバー１２の動作情報である車内向けカメラの画像が得られる。また、ドライバー動作センシング部４４は、車内向け画像のほかに、図示しないハンドルセンサ、モーションセンサなどからドライバー１２の動作情報を取得してもよい。取得されたドライバー１２の動作情報は、例えば、ＩｏＴドライブレコーダ３０Ａ、３０Ｂの通信部を介してサーバ５０に送信されてもよいし、端末２０を介してサーバ５０に送信されてもよい（ステップＳ２）。サーバ５０では、取得された動作情報を解析して、ドライバー１２の動作を検出し、検出された動作が所定の条件を満たした場合（例えば、脇見運転・携帯端末を操作しながらの運転で目線が２秒以上外れた、眠そうな動作など）、第２インシデントと判定する。なお、ＩｏＴドライブレコーダ３０Ａ、３０Ｂは、後述するように車両挙動検知にも使用され、また、常時録画や動画切出し等も行う。 The driver motion sensing unit 44 includes, for example, IoT (Internet of Things) drive recorders 30A and 30B including a camera for the outside of the vehicle and a camera for the inside of the vehicle, and an image of the camera for the vehicle interior, which is operation information of the driver 12, can be obtained. Further, the driver motion sensing unit 44 may acquire motion information of the driver 12 from a handle sensor, a motion sensor, or the like (not shown) in addition to the image for the inside of the vehicle. The acquired operation information of the driver 12 may be transmitted to the server 50 via the communication unit of the IoT drive recorders 30A and 30B, or may be transmitted to the server 50 via the terminal 20 (step S2). ). The server 50 analyzes the acquired operation information, detects the operation of the driver 12, and when the detected operation satisfies a predetermined condition (for example, inattentive driving or driving while operating a mobile terminal). Is off for 2 seconds or more, sleepy movement, etc.), it is judged as a second incident. The IoT drive recorders 30A and 30B are also used for vehicle behavior detection as will be described later, and also perform constant recording and video cutting.
　車両挙動センシング部４２は、例えば、車外向きドライブレコーダ２６、危険通知ボタン２８や、前記ＩｏＴドライブレコーダ３０Ａ、３０Ｂを含み、これらによって車間距離、車線逸脱、押下日時、常時録画、動画切出しなどを行うとともに、車両１０の挙動情報（例えば、速度、加速度、ブレーキ、位置情報など）を取得する（ステップＳ３）。取得した車両１０の挙動情報は、例えば、端末２０を介してサーバ５０に送信されてもよいし、センサ類に通信機能が備わっている場合には、センサ類から直接サーバ５０に送信してもよい。サーバ５０では、取得された挙動情報を解析して、車両１０の挙動を検出し、検出された挙動を道路標識情報と照合して（例えば、ＩｏＴドライブレコーダ３０Ａ、３０Ｂの車外向けカメラの画像解析による道路標識特定や、地図情報からの道路標識特定など）、法令遵守していない場合に、第３インシデントと判定する。 The vehicle behavior sensing unit 42 includes, for example, an outward drive recorder 26, a danger notification button 28, and the IoT drive recorders 30A and 30B, which perform inter-vehicle distance, lane departure, pressing date and time, constant recording, video cutting, and the like. At the same time, the behavior information of the vehicle 10 (for example, speed, acceleration, brake, position information, etc.) is acquired (step S3). The acquired behavior information of the vehicle 10 may be transmitted to the server 50 via the terminal 20, or may be transmitted directly from the sensors to the server 50 when the sensors have a communication function. Good. The server 50 analyzes the acquired behavior information, detects the behavior of the vehicle 10, and collates the detected behavior with the road sign information (for example, image analysis of the external cameras of the IoT drive recorders 30A and 30B). If the road sign is specified by the camera, the road sign is specified from the map information, etc.) and the law is not complied with, it is judged as the third incident.
　サーバ５０は、第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが所定の条件を満たした場合に、重大インシデントが発生したと決定し、重大インシデントが発生したことに関する関連情報（発生時刻、発生場所、発生ドライバー、発生車両、インシデント内容、ドライブレコーダ画像（動画または静止画）など）を管理者９０に通知する（ステップＳ４）。管理者９０への通知は、スマートフォンやタブレットなどの携帯端末への通知が好ましい。これにより、管理者９０がいち早くドライバー１２のインシデント発生情報を得て、次のアクションを取ることができる。なお、管理者９０のＰＣへの通知を併せて行ってもよい。 The server 50 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident meets a predetermined condition, and the related information regarding the occurrence of the serious incident. The administrator 90 is notified (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (moving image or still image), etc.) (step S4). The notification to the administrator 90 is preferably a notification to a mobile terminal such as a smartphone or tablet. As a result, the administrator 90 can quickly obtain the incident occurrence information of the driver 12 and take the next action. In addition, the notification to the PC of the administrator 90 may also be performed.
　また、サーバ５０は、前記ステップＳ３で取得された車両の挙動情報を解析して、危険運転度（例えば、急発進、急ブレーキ、急ハンドルなど）を検出し、検出された危険運転度が所定の条件を満たした場合、第４インシデントと判定してもよい。この場合、第１インデントと、第２インシデントおよび／または第３インシデントと、第４インシデントと、の組み合わせが所定の条件を満たした場合に、重大インシデントであると決定し、重大インシデントが発生したことに関する関連情報を管理者９０に通知する。 Further, the server 50 analyzes the vehicle behavior information acquired in step S3, detects a dangerous driving degree (for example, sudden start, sudden braking, sudden steering, etc.), and determines the detected dangerous driving degree. If the condition of the above is satisfied, it may be determined as the fourth incident. In this case, when the combination of the first incident, the second incident and / or the third incident, and the fourth incident meets the predetermined conditions, it is determined that the incident is a serious incident, and a serious incident has occurred. Notify administrator 90 of relevant information regarding.
　さらに、サーバ５０は、ドライバー１２の個体差を学習して、ドライバー１２毎に各インシデントを判定するための所定の条件を最適化してもよいし、出発前のドライバー１２の体調に応じて、前記所定の条件を最適化してもよい。 Further, the server 50 may learn the individual difference of the driver 12 and optimize a predetermined condition for determining each incident for each driver 12, and may optimize the predetermined conditions according to the physical condition of the driver 12 before departure. Predetermined conditions may be optimized.
　以上説明したサーバ５０は、単体のコンピュータであってもよく、例えば、端末であってもよい。また、後述する機能構成が、それぞれ異なるコンピュータで実行されるコンピュータシステム（クラウド）であってもよい。さらに、本実施形態では、多くの処理をサーバ５０で実行することとしたが、エッジ（センサ類など）側で情報の取得、解析・検出、インシデントの判定を行うようにしてもよい。エッジ側で多くの処理を行うことにより、サーバ５０へのデータ送信量を減らすことができる。 The server 50 described above may be a single computer, for example, a terminal. Further, the functional configuration described later may be a computer system (cloud) executed by different computers. Further, in the present embodiment, although many processes are executed on the server 50, information acquisition, analysis / detection, and incident determination may be performed on the edge (sensors, etc.) side. By performing a lot of processing on the edge side, the amount of data transmitted to the server 50 can be reduced.
　＜車両の構成＞・・・次に、図２を参照して、車両１０の構成を説明する。車両１０は、ドライバー１２の生体情報を得るためのドライバー生体情報センシング部４０と、ドライバー１２が運転している車両１０の挙動情報を得るための車両情報センシング部４２と、ドライバー１２の動作情報を得るためのドライバー動作センシング部４４とを備えている。ドライバー生体情報センシング部４０には、ハンドル型心電計２２やシートカバー型心電計２４などが含まれる。車両挙動センシング部４２には、車外向きドライブレコーダ２６や危険通知ボタン２８などが含まれる。危険通知ボタン２８は、各種センシング機器によらず、ドライバー１２が車内外で気づいたインシデント発生時に押下可能なボタンであって、ドライバー１２の判断によってインシデント発生情報を得るためのものである。例えば運転車両の前方で割り込みがあった場合や、落下物・飛散物があった場合など、車載装置では検知できない危険につながりそうな事象があったときにドライバー１２自身が判断して押下する。危険通知ボタン２８が押下されると、その時刻や位置がインシデント発生の情報として記録され、例えば、ドライブレコーダで撮像された画像（動画または静止画）が切り出されてサーバ５０に送信される。なお、ＩｏＴドライブレコーダ３０Ａ、３０Ｂも、これらとともに、車両１０の挙動をセンシングする。ドライバー動作センシング部４４には、車外向けカメラや車内向けカメラを備えたＩｏＴドライブレコーダ３０Ａ、３０Ｂなどが含まれる。通信部４６は、ネットワークを介して、各種センサで得られた情報やドライブレコーダで撮像された画像（動画または静止画）をサーバ５０に送信して提供するものである。むろん、必要に応じて、他の情報の提供などを行うようにしてもよい。 <Vehicle configuration> ... Next, the configuration of the vehicle 10 will be described with reference to FIG. The vehicle 10 obtains the driver biometric information sensing unit 40 for obtaining the biometric information of the driver 12, the vehicle information sensing unit 42 for obtaining the behavior information of the vehicle 10 being driven by the driver 12, and the operation information of the driver 12. It is provided with a driver motion sensing unit 44 for obtaining. The driver biometric information sensing unit 40 includes a steering wheel type electrocardiograph 22 and a seat cover type electrocardiograph 24. The vehicle behavior sensing unit 42 includes a vehicle outward drive recorder 26, a danger notification button 28, and the like. The danger notification button 28 is a button that can be pressed when an incident occurs that the driver 12 notices inside or outside the vehicle regardless of various sensing devices, and is for obtaining incident occurrence information at the discretion of the driver 12. For example, when there is an interruption in front of the driving vehicle, when there is a falling object or a scattered object, or when there is an event that may lead to a danger that cannot be detected by the in-vehicle device, the driver 12 himself determines and presses the button. When the danger notification button 28 is pressed, the time and position are recorded as incident occurrence information, and for example, an image (moving image or still image) captured by the drive recorder is cut out and transmitted to the server 50. The IoT drive recorders 30A and 30B also sense the behavior of the vehicle 10 together with these. The driver motion sensing unit 44 includes IoT drive recorders 30A and 30B provided with a camera for the outside of the vehicle and a camera for the inside of the vehicle. The communication unit 46 transmits information obtained by various sensors and an image (moving image or still image) captured by the drive recorder to the server 50 and provides the information via the network. Of course, other information may be provided as needed.
　＜サーバのハードウェア構成＞・・・次に、図３を参照して、サーバ５０の機能構成を説明する。サーバ５０は、プロセッサ５２、メモリ５４、ストレージ５６、通信部６８を備え、これらは図示しないバスにより接続されている。プロセッサ５２は、例えば、ＣＰＵ（Central Processing Unit）により構成され、メモリ５４に記憶された各種プログラムを読み出して実行することで、各種処理を行う。前記メモリ５４は、プロセッサ５２により実行させるプログラムを記憶するものであり、例えば、ＲＯＭ（Read Only Memory）やＲＡＭ（Random Access Memory）により構成される。例えば、図４に示す各種手段が記憶されている。ストレージ５６は、取得情報５８、第１インシデント判定条件５０、第２インシデント判定条件６２、道路標識情報６３、第４インシデント判定条件６４、重大インシデント判定条件６５、インシデント関連情報６６、地図情報６７や、図示しない制御プログラムなどを記憶するものである。 <Hardware configuration of server> ... Next, the functional configuration of the server 50 will be described with reference to FIG. The server 50 includes a processor 52, a memory 54, a storage 56, and a communication unit 68, which are connected by a bus (not shown). The processor 52 is configured by, for example, a CPU (Central Processing Unit), and performs various processes by reading and executing various programs stored in the memory 54. The memory 54 stores a program to be executed by the processor 52, and is composed of, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, various means shown in FIG. 4 are stored. The storage 56 includes acquired information 58, first incident determination condition 50, second incident determination condition 62, road sign information 63, fourth incident determination condition 64, serious incident determination condition 65, incident-related information 66, map information 67, and the like. It stores a control program (not shown).
　取得情報５８は、例えば、運転中のドライバー１２の生体情報（心電、脈波、脳波、血圧、体温など）や、ドライバー１２の動作情報（車内向カメラ画像、ハンドルセンサ情報、モーションセンサ情報など）や、ドライバー１２が運転している車両１０の挙動情報（速度、加速度、ブレーキ、位置情報など）である。むろん、ここにあげた情報に限られるものではない。 The acquired information 58 includes, for example, biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 while driving, operation information of the driver 12 (vehicle inward camera image, handle sensor information, motion sensor information, etc.). ) And the behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 driven by the driver 12. Of course, it is not limited to the information given here.
　第１インシデント判定条件６０は、取得された生体情報を解析してドライバー１２の体調を検出し、検出された体調が、第１インシデントに該当するか否かを判定するための判定基準である。例えば、ドライバー１２の疲労度が高い場合には、運転しないほうがよいといった基準が設けられている。 The first incident determination condition 60 is a determination standard for analyzing the acquired biological information to detect the physical condition of the driver 12 and determining whether or not the detected physical condition corresponds to the first incident. For example, if the driver 12 has a high degree of fatigue, there is a standard that it is better not to drive.
　第２インシデント判定条件６２は、取得されたドライバー１２の動作情報を解析してドライバー１２の動作を検出し、検出された動作が第２インシデントに該当するか否かを判定するための判定基準である。例えば、脇見運転・携帯端末を使用しながらの運転で目線が２秒以上外れた場合や、眠たそうな動作をした場合には、第２インシデントに該当するといった基準が設けられている。 The second incident determination condition 62 is a determination criterion for analyzing the acquired operation information of the driver 12 to detect the operation of the driver 12 and determining whether or not the detected operation corresponds to the second incident. is there. For example, if the line of sight is off for 2 seconds or more during inattentive driving or driving while using a mobile terminal, or if the driver behaves in a sleepy manner, a standard is set to correspond to the second incident.
　道路標識情報６３は、取得されたドライバー１２の挙動情報を解析して車両１０の挙動を検出し、検出された挙動が法令遵守しているか否かにより第３インシデントに該当するか否かを判定するための基準である。例えば、車外向カメラの画像解析による道路標識特定や、地図情報からの道路標識特定などにより、車両１０の挙動が法令遵守しているか否かを判定する。 The road sign information 63 analyzes the acquired behavior information of the driver 12 to detect the behavior of the vehicle 10, and determines whether or not the detected behavior corresponds to the third incident depending on whether or not the detected behavior complies with the law. It is a standard to do. For example, it is determined whether or not the behavior of the vehicle 10 complies with the law by specifying the road sign from the image analysis of the vehicle outward camera, specifying the road sign from the map information, and the like.
　第４インシデント判定条件６４は、取得された車両１０の挙動情報を解析して、危険運転度を検出し、危険運転度が第４インシデントに該当するか否かを判定するための判定基準である。例えば、車両１０の挙動情報と運転内容とが関連付けられた基準を用いて判定することができ、具体的には、挙動情報を解析して、同一の車速で走行した場合に前方車両に衝突する可能性が高い場合や、上下・左右・前後のいずれかでGの発生が極めて大きい場合など、そのまま走行を継続したときに事故が発生する可能性が高い場合、或いは、危険状態にあると判断される場合には、第４インシデントに該当する、といった基準が設けられている。 The fourth incident determination condition 64 is a determination criterion for analyzing the acquired behavior information of the vehicle 10 to detect the dangerous driving degree and determining whether or not the dangerous driving degree corresponds to the fourth incident. .. For example, it can be determined by using a reference in which the behavior information of the vehicle 10 and the driving content are associated with each other. Specifically, the behavior information is analyzed and the vehicle collides with the vehicle in front when traveling at the same vehicle speed. If there is a high possibility that an accident will occur if you continue driving, such as when the occurrence of G is extremely large in any of the top, bottom, left, right, front and back, or if it is judged to be in a dangerous state If this is the case, there is a standard that it corresponds to the fourth incident.
　重大インシデント判定条件６５は、第１インシデントと、第２インシデントおよび／または第３インシデントとの組み合わせが、重大インシデントに該当するか否かを判定するための判定基準である。また、第４インシデントの判定を行った場合には、第１インシデントと、第２インシデントおよび／または第３インシデントと、第４インシデントとの組み合わせが、重大インシデントに該当するか否かを判定するための基準である。 The serious incident determination condition 65 is a criterion for determining whether or not the combination of the first incident and the second incident and / or the third incident corresponds to a serious incident. Further, when the determination of the fourth incident is performed, in order to determine whether or not the combination of the first incident, the second incident and / or the third incident, and the fourth incident corresponds to a serious incident. Is the standard of.
　インシデント関連情報６７は、重大インシデントが発生したことに関する関連情報（例えば、発生時刻、発生場所、発生ドライバー、発生車両、インシデント内容、ドライブレコーダ画像（動画または静止画）など）である。 Incident-related information 67 is related information regarding the occurrence of a serious incident (for example, occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (moving image or still image), etc.).
　地図情報６７は、管理者９０の端末に、重大インシデントが発生したことに関する関連情報を地図を用いて示すときに用いられる情報である。また上述したように、道路標識情報６３を特定するためにも、地図情報６７を用いてもよい。また、事故や渋滞が生じやすい場所など、交通に関する情報が付加されたものを用いた場合には、運行ルートを選択する際にも用いることができる。 Map information 67 is information used when the terminal of the administrator 90 is shown with a map related information regarding the occurrence of a serious incident. Further, as described above, the map information 67 may be used to specify the road sign information 63. In addition, when information on traffic is added, such as a place where an accident or traffic jam is likely to occur, it can also be used when selecting an operation route.
　次に、通信部６８は、ネットワークを介して、車両１０の各種センサで得られた情報やドライブレコーダで撮像された画像（動画または静止画）を受信して取得するものである。むろん、必要に応じて、他の情報の取得を行うようにしてもよい。 Next, the communication unit 68 receives and acquires the information obtained by the various sensors of the vehicle 10 and the image (moving image or still image) captured by the drive recorder via the network. Of course, other information may be acquired as needed.
　＜サーバの機能構成＞・・・次に、図４を参照して、サーバ５０の機能構成を説明する。サーバ５０は、第１取得手段７０と、第１検出手段７１と、第１判定手段７２と、第２取得手段７３と、第２検出手段７４と、第２判定手段７６と、第３取得手段７７と、第３検出手段７８と、第３判定手段８０と、第４検出手段８１と、第４判定手段８２と、決定手段８４と、通知手段８６と、学習手段８８を備えている。 <Functional configuration of server> ... Next, the functional configuration of the server 50 will be described with reference to FIG. The server 50 includes the first acquisition means 70, the first detection means 71, the first determination means 72, the second acquisition means 73, the second detection means 74, the second determination means 76, and the third acquisition means. 77, a third detection means 78, a third determination means 80, a fourth detection means 81, a fourth determination means 82, a determination means 84, a notification means 86, and a learning means 88 are provided.
　第１取得手段７０は、運転中のドライバー１２の生体情報（心電、脈波、脳波、血圧、体温など）を取得するものである。例えば、車両１０のドライバー生体情報センシング部４０で得られた生体情報が、端末２０を介してサーバ５０に送信され、サーバ５０は送信された情報を受信することで生体情報を取得する。取得した生体情報は、ストレージ５６の取得情報５８に記憶される。 The first acquisition means 70 acquires biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 while driving. For example, the biometric information obtained by the driver biometric information sensing unit 40 of the vehicle 10 is transmitted to the server 50 via the terminal 20, and the server 50 acquires the biometric information by receiving the transmitted information. The acquired biometric information is stored in the acquired information 58 of the storage 56.
　第１検出手段７１は、第１取得手段７０によって取得された生体情報を解析して、ドライバー１２の体調（疲労度、眠気、痴呆、抑鬱、集中力、急変可能性、アレルギー判定など）を検出するものである。 The first detection means 71 analyzes the biological information acquired by the first acquisition means 70 and detects the physical condition of the driver 12 (fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, allergy determination, etc.). To do.
　第１判定手段７２は、第１検出手段７１によって検出された体調が所定の条件（疲労度が高く運転しないほうがよいなど）を満たした場合に、第１インシデントと判定するものである。第１インシデントか否かの判定は、第１インシデント判定条件６０を満たすか否かにより行う。 The first determination means 72 determines that the physical condition detected by the first detection means 71 is a first incident when a predetermined condition (high degree of fatigue and better not to drive, etc.) is satisfied. The determination of whether or not it is the first incident is performed depending on whether or not the first incident determination condition 60 is satisfied.
　第２取得手段７３は、ドライバー１２の動作情報（車内向カメラの画像、ハンドルセンサ情報、モーションセンサ情報など）を取得するものである。例えば、車両１０のドライバー動作センシング部４４で得られたドライバー１２の動作情報が、ＩｏＴドライブレコーダ３０Ａ、３０Ｂによって直接、あるいは、端末２０を介してサーバ５０に送信され、サーバ５０は送信された情報を受信することでドライバー１２の動作情報を取得する。取得した動作情報は、ストレージ５６の取得情報５８に記憶される。 The second acquisition means 73 acquires the operation information of the driver 12 (image of the inward camera, handle sensor information, motion sensor information, etc.). For example, the operation information of the driver 12 obtained by the driver operation sensing unit 44 of the vehicle 10 is transmitted to the server 50 directly by the IoT drive recorders 30A and 30B or via the terminal 20, and the server 50 transmits the transmitted information. The operation information of the driver 12 is acquired by receiving. The acquired operation information is stored in the acquired information 58 of the storage 56.
　第２検出手段７４は、第２取得手段７３によって取得された動作情報を解析して、ドライバー１２の動作を検出するものである。 The second detection means 74 analyzes the operation information acquired by the second acquisition means 73 and detects the operation of the driver 12.
　第２判定手段７６は、第２検出手段７４によって検出された動作が所定の条件を満たした場合（脇見運転・携帯端末を操作しながらの運転で目線が２秒以上外れた場合、眠たそうな動作をした場合など）に、第２インシデントと判定するものである。第２インシデントか否かの判定は、第２インシデント判定条件６２を満たすか否かにより行う。 The second determination means 76 seems to be sleepy when the operation detected by the second detection means 74 satisfies a predetermined condition (when the line of sight is off for 2 seconds or more during inattentive driving / driving while operating the mobile terminal). It is determined to be a second incident when an operation is performed. Whether or not it is a second incident is determined based on whether or not the second incident determination condition 62 is satisfied.
　第３取得手段７７は、ドライバー１２が運転している車両１０の挙動情報（速度、加速度、ブレーキ、位置情報など）を取得するものである。例えば、車両１０の車両挙動センシング部４２で得られた車両１０の挙動情報が、端末２０を介してサーバ５０に送信される。あるいは、センサ類に通信機能が備わっている場合には、エッジ側から直接サーバ５０に車両１０の挙動情報を送信してもよい。サーバ５０は、送信された情報を受信することで、車両１０の挙動情報を取得する。取得した挙動情報は、ストレージ５６の取得情報に記憶される。 The third acquisition means 77 acquires behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 being driven by the driver 12. For example, the behavior information of the vehicle 10 obtained by the vehicle behavior sensing unit 42 of the vehicle 10 is transmitted to the server 50 via the terminal 20. Alternatively, when the sensors are provided with a communication function, the behavior information of the vehicle 10 may be transmitted directly from the edge side to the server 50. The server 50 acquires the behavior information of the vehicle 10 by receiving the transmitted information. The acquired behavior information is stored in the acquired information of the storage 56.
　第３検出手段７８は、第３取得手段７７によって取得された挙動情報を解析して、車両１０の挙動を検出するものである。 The third detection means 78 analyzes the behavior information acquired by the third acquisition means 77 to detect the behavior of the vehicle 10.
　第３判定手段８０は、第３検出手段７８によって検出された挙動を道路標識情報６３と照合して（車外向カメラの画像解析による道路標識特定、地図情報からの道路標識特定など）、法令遵守していない場合に、第３インシデントと判定するものである。 The third determination means 80 collates the behavior detected by the third detection means 78 with the road sign information 63 (identification of the road sign by image analysis of the vehicle outward camera, identification of the road sign from the map information, etc.) and complies with the law. If this is not the case, it is determined to be a third incident.
　第４検出手段８１は、第３取得手段７７によって取得された車両１０の挙動情報を解析して、危険運転度（急発進、急ブレーキ、急ハンドルなど）を検出するものである。 The fourth detection means 81 analyzes the behavior information of the vehicle 10 acquired by the third acquisition means 77 to detect the degree of dangerous driving (sudden start, sudden braking, sudden steering, etc.).
　第４判定手段８２は、第４検出手段８１によって検出された危険運転度が所定の条件を満たした場合に、第４インシデントと判定するものである。第４インシデントか否かの判定は、第４インシデント判定条件６４を満たすか否かにより行う。 The fourth determination means 82 determines the fourth incident when the degree of dangerous driving detected by the fourth detection means 81 satisfies a predetermined condition. The determination as to whether or not it is the fourth incident is performed depending on whether or not the fourth incident determination condition 64 is satisfied.
　決定手段８４は、第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが所定の条件を満たした場合に、重大インシデントが発生したと決定するものである。重大インシデントか否かの判定は、重大インシデント判定条件６５を満たすか否かにより行う。また、第４インシデントが判定された場合には、第１インシデントと、第２インシデントおよび／または第３インシデントと、第４インシデントとの組み合わせが所定の条件（重大インシデント判定条件６５）を満たした場合に、重大インシデントと判定する。 The determination means 84 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident satisfies a predetermined condition. Whether or not it is a serious incident is determined based on whether or not the serious incident determination condition 65 is satisfied. When the fourth incident is determined, the combination of the first incident, the second incident and / or the third incident, and the fourth incident satisfies a predetermined condition (serious incident determination condition 65). In addition, it is judged as a serious incident.
　通知手段８６は、重大インシデントが発生したことに関する関連情報（発生時刻、発生場所、発生ドライバー、発生車両、インシデント内容、ドライブレコーダ画像（動画または静止画）など）を管理者９０に通知するものである。例えば、インシデント関連情報６６を、通信部６８を介して管理者端末９２に送信し、管理者端末９２の表示部９４に表示させることで通知を行う。なお、通知の手段は、これに限らない。 The notification means 86 notifies the administrator 90 of related information (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.) regarding the occurrence of a serious incident. is there. For example, the incident-related information 66 is transmitted to the administrator terminal 92 via the communication unit 68 and displayed on the display unit 94 of the administrator terminal 92 to give a notification. The means of notification is not limited to this.
　学習手段８８は、ドライバー１２の個体差を学習して、ドライバー毎に所定の条件（第１インシデント判定条件６０、第２インシデント判定条件６２、第４インシデント判定条件６４、重大インシデント判定条件６５のうちの一つ以上の条件）を最適化するものである。ドライバー１２の個体差をインシデント判定条件に反映させることで、より正確なインシデントの判定を行うことができる。また、学習手段８８は、出発前のドライバー１２の体調に応じて、所定の条件（第１インシデント判定条件６０、第２インシデント判定条件６２、第４インシデント判定条件６４、重大インシデント判定条件６５のうちの一つ以上の条件）を最適化してもよい。出発前のドライバー１２の体調をインシデント判定条件に反映させることで、ドライバー１２の当日の体調を加味して、より正確なインシデントの判定を行うことができる。 The learning means 88 learns the individual difference of the driver 12, and among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) for each driver. One or more of the conditions) are optimized. By reflecting the individual differences of the drivers 12 in the incident determination conditions, more accurate incident determination can be performed. Further, the learning means 88 is among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) according to the physical condition of the driver 12 before departure. One or more of the conditions) may be optimized. By reflecting the physical condition of the driver 12 before departure in the incident determination condition, it is possible to make a more accurate determination of the incident by taking into account the physical condition of the driver 12 on the day.
　＜管理者端末の構成＞・・・次に、図５を参照して、管理者９０の管理者端末９２の構成を説明する。管理者端末９２は、例えば、スマートフォンやタブレットなどの携帯端末が望ましい。これは、管理者９０がいち早くドライバー１２のインシデント発生情報を得て、次のアクションを取りやすくするためである。管理者端末９２は、表示部９４、入力部９６、通信部９８を備えている。表示部９４および入力部９６は、例えば、タッチパネルであるが、これに限定されない。通信部９８は、ネットワークを介してサーバ５０からインシデント関連情報６６を受信するものである。むろん、他の情報の受信を行ってもよいし、サーバ５０へ情報の提供（送信）を行ってもよい。なお、管理者端末９２として、上述したスマートフォンやタブレットなどの携帯端末と併せてＰＣなどを使用することを妨げるものではない。 <Configuration of administrator terminal> ... Next, the configuration of the administrator terminal 92 of the administrator 90 will be described with reference to FIG. The administrator terminal 92 is preferably a mobile terminal such as a smartphone or tablet. This is to make it easier for the administrator 90 to quickly obtain the incident occurrence information of the driver 12 and take the next action. The administrator terminal 92 includes a display unit 94, an input unit 96, and a communication unit 98. The display unit 94 and the input unit 96 are, for example, a touch panel, but the present invention is not limited thereto. The communication unit 98 receives the incident-related information 66 from the server 50 via the network. Of course, other information may be received, or information may be provided (transmitted) to the server 50. It should be noted that the administrator terminal 92 does not prevent the use of a PC or the like in combination with the above-mentioned mobile terminal such as a smartphone or tablet.
　＜運転中インシデント通知処理＞・・・次に、本システム１００による運転中インシデント通知処理の一例について、図６を参照して説明する。まず、サーバ５０の第１取得手段７０は、運転中のドライバー１２の生体情報（心電、脈波、脳波、血圧、体温など）を取得する（ステップＳ１０）。例えば、車両１０のドライバー生体情報センシング部４０で得られた生体情報が、端末２０を介してサーバ５０に送信され、サーバ５０が送信された情報を受信することで生体情報を取得する。取得した生体情報は、ストレージ５６の取得情報５８に記憶される。 <Driving Incident Notification Processing> ... Next, an example of driving incident notification processing by the system 100 will be described with reference to FIG. First, the first acquisition means 70 of the server 50 acquires the biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 during driving (step S10). For example, the biometric information obtained by the driver biometric information sensing unit 40 of the vehicle 10 is transmitted to the server 50 via the terminal 20, and the server 50 receives the transmitted information to acquire the biometric information. The acquired biometric information is stored in the acquired information 58 of the storage 56.
　次に、サーバ５０の第１検出手段７１は、第１取得手段７０によって取得された生体情報を解析して、ドライバー１２の体調（疲労度、眠気、痴呆、抑鬱、集中力、急変可能性、アレルギー判定など）を検出する（ステップＳ１２）。 Next, the first detection means 71 of the server 50 analyzes the biological information acquired by the first acquisition means 70, and the physical condition of the driver 12 (fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, etc. (Allergy determination, etc.) is detected (step S12).
　次に、サーバ５０の第１判定手段７２は、第１検出手段７１によって検出された体調が所定の条件を満たした場合（疲労度が高く運転しないほうがよいなど）に、第１インシデントと判定する（ステップＳ１４）。第１インシデントか否かの判定は、第１インシデント判定条件６０を満たすか否かにより行う。 Next, the first determination means 72 of the server 50 determines that the physical condition detected by the first detection means 71 is the first incident when the predetermined condition is satisfied (the degree of fatigue is high and it is better not to drive). (Step S14). The determination of whether or not it is the first incident is performed depending on whether or not the first incident determination condition 60 is satisfied.
　一方、サーバ５０では、前記ステップＳ１０～１２と平行して、第２取得手段７３が、ドライバー１２の動作情報（車内向カメラの画像、ハンドルセンサ情報、モーションセンサ情報など）を取得する（ステップＳ２０）。例えば、車両１０のドライバー動作センシング部４４で得られたドライバー１２の動作情報が、ＩｏＴドライブレコーダ３０Ａ、３０Ｂによって直接、あるいは、端末２０を介してサーバ５０に送信され、サーバ５０が送信された情報を受信することでドライバー１２の動作情報を取得する。取得した動作情報は、ストレージ５６の取得情報５８に記憶される。 On the other hand, in the server 50, in parallel with the steps S10 to 12, the second acquisition means 73 acquires the operation information of the driver 12 (image of the inward camera, handle sensor information, motion sensor information, etc.) (step S20). ). For example, the operation information of the driver 12 obtained by the driver operation sensing unit 44 of the vehicle 10 is transmitted to the server 50 directly by the IoT drive recorders 30A and 30B or via the terminal 20, and the information transmitted by the server 50. The operation information of the driver 12 is acquired by receiving. The acquired operation information is stored in the acquired information 58 of the storage 56.
　次に、サーバ５０の第２検出手段７４は、第２取得手段７３によって取得された動作情報を解析して、ドライバー１２の動作を検出する（ステップＳ２２）。 Next, the second detection means 74 of the server 50 analyzes the operation information acquired by the second acquisition means 73 and detects the operation of the driver 12 (step S22).
　次に、第２判定手段７６は、第２検出手段７４によって検出された動作が所定の条件を満たした場合（脇見運転・携帯端末を操作しながら運転で目線が２秒以上外れた場合、眠たそうな動作）をした場合など）に、第２インシデントと判定する（ステップＳ２４）。第２インシデントか否かの判定は、第２インシデント判定条件６２を満たすか否かにより行う。 Next, the second determination means 76 fell asleep when the operation detected by the second detection means 74 satisfied a predetermined condition (distracted driving, driving while operating the mobile terminal and deviating from the line of sight for 2 seconds or more). When such an operation is performed), it is determined as a second incident (step S24). Whether or not it is a second incident is determined based on whether or not the second incident determination condition 62 is satisfied.
　更に、前記ステップＳ１０～１４、ステップＳ２０～２４と平行して、サーバ５０の第３取得手段７７は、ドライバー１２が運転している車両１０の挙動情報（速度、加速度、ブレーキ、位置情報など）を取得する（ステップＳ３０）。例えば、車両１０の車両挙動センシング部４２で得られた車両１０の挙動情報が、端末２０を介してサーバ５０に送信される。あるいは、センサ類に通信機能が備わっている場合には、エッジ側から直接サーバ５０に車両１０の挙動情報を送信してもよい。サーバ５０は、送信された情報を受信することで、車両１０の挙動情報を取得する。取得した挙動情報は、ストレージ５６の取得情報５８に記憶される。 Further, in parallel with steps S10 to 14 and steps S20 to 24, the third acquisition means 77 of the server 50 provides behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 driven by the driver 12. (Step S30). For example, the behavior information of the vehicle 10 obtained by the vehicle behavior sensing unit 42 of the vehicle 10 is transmitted to the server 50 via the terminal 20. Alternatively, when the sensors are provided with a communication function, the behavior information of the vehicle 10 may be transmitted directly from the edge side to the server 50. The server 50 acquires the behavior information of the vehicle 10 by receiving the transmitted information. The acquired behavior information is stored in the acquired information 58 of the storage 56.
　次に、サーバ５０の第３検出手段７８は、第３取得手段７７によって取得された挙動情報を解析して、車両１０の挙動を検出する（ステップＳ３２）。 Next, the third detection means 78 of the server 50 analyzes the behavior information acquired by the third acquisition means 77 and detects the behavior of the vehicle 10 (step S32).
　次に、サーバ５０の第３判定手段８０は、第３検出手段７８によって検出された挙動を道路標識情報６３と照合して（車外向カメラの画像解析による道路標識特定、地図情報からの道路標識特定など）、法令遵守していない場合に、第３インシデントと判定する（ステップＳ３４）。 Next, the third determination means 80 of the server 50 collates the behavior detected by the third detection means 78 with the road sign information 63 (road sign identification by image analysis of the vehicle outward camera, road sign from map information). (Specification, etc.), if it does not comply with the law, it is determined as a third incident (step S34).
　次に、サーバ５０の決定手段８４は、第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが所定の条件を満たした場合に、重大インシデントが発生したと決定する（ステップＳ４０）。重大インシデントか否かの判定は、重大インシデント判定条件６５を満たすか否かにより行う。 Next, the determination means 84 of the server 50 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident satisfies a predetermined condition (step S40). ). Whether or not it is a serious incident is determined based on whether or not the serious incident determination condition 65 is satisfied.
　そして、サーバ５０の通知手段８６は、重大インシデントが発生したことに関する関連情報（発生時刻、発生場所、発生ドライバー、発生車両、インシデント内容、ドライブレコーダ画像（動画または静止画）など）を管理者９０に通知する（ステップＳ４２）。例えば、インシデント関連情報６６を、通信部６８を介して管理者端末９２に送信し、管理者端末９２の表示部９４に表示させることで通知を行う。なお、通知の手段は、これに限らない。 Then, the notification means 86 of the server 50 provides the administrator 90 with related information (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.) regarding the occurrence of a serious incident. (Step S42). For example, the incident-related information 66 is transmitted to the administrator terminal 92 via the communication unit 68 and displayed on the display unit 94 of the administrator terminal 92 to give a notification. The means of notification is not limited to this.
　図７には、管理者端末９２に表示される重大インシデント関連情報の表示例が示されている。図７に示すように、管理者端末９２の表示部９４には、「重大イベント通知」として、「車番：あ１１１」、「社員ナンバー：ＢＢ１２３４５６」、「発生イベント：前方衝突警報」、「発生時刻：２０１９／０４／１９　１３：２７：３０」といった文字情報とともに、地図１０１が表示されている。 FIG. 7 shows a display example of serious incident-related information displayed on the administrator terminal 92. As shown in FIG. 7, on the display unit 94 of the administrator terminal 92, as "serious event notification", "vehicle number: a 111", "employee number: BB123456", "occurrence event: forward collision warning", " The map 101 is displayed together with the text information such as "occurrence time: 2019/04/19 13:27:30".
　地図１０１には、重大イベントが生じた地点にアイコン１０２が示されている。また、地図１０１の下方には、動画を再生するための画面が表示されており、再生ボタン１０４をタップすると、図６の右側に示す画像１０６が示され、上段には車外画像１０６Ａが、下段には１０６Ｂに車内画像１０６Ｂが示され、車外の様子と車内の様子（ドライバーの様子）を確認できる。なお、これらの画像は、静止画であってもよいし動画であってもよい。これにより、管理者９０がフォローすべき危険な状況（重大インシデント）が検知された際に、管理者９０のもつ端末へ通知することで、適切なフォローを行って事故を未然に防ぐのに役立つ。とくに、管理者端末９２を、スマートフォンやタブレットなどの携帯端末とすることで、管理者９０がいち早くドライバー１２のインシデント発生情報を得て、次のアクションを取ることが可能となる。 On the map 101, the icon 102 is shown at the point where the serious event occurred. A screen for playing a moving image is displayed below the map 101. When the play button 104 is tapped, the image 106 shown on the right side of FIG. 6 is shown, the outside image 106A is shown in the upper row, and the outside image 106A is shown in the lower row. The inside image 106B is shown in 106B, and the state outside the car and the state inside the car (the state of the driver) can be confirmed. Note that these images may be still images or moving images. As a result, when a dangerous situation (serious incident) that the administrator 90 should follow is detected, the terminal of the administrator 90 is notified, which helps to perform appropriate follow-up and prevent an accident. .. In particular, by using the administrator terminal 92 as a mobile terminal such as a smartphone or tablet, the administrator 90 can quickly obtain the incident occurrence information of the driver 12 and take the next action.
　なお、本実施形態において、第４インシデントの発生を重大インシデントの判定に加味する場合には、上述したステップＳ１０～１４、ステップＳ２０～２４、ステップＳ３０～３４と平行して、サーバ５０の第４検出手段８１は、第３取得手段７７によって取得された車両１０の挙動情報を解析して、危険運転度（急発進、急ブレーキ、急ハンドルなど）を検出する。 In the present embodiment, when the occurrence of the fourth incident is taken into consideration in the determination of the serious incident, the fourth server 50 is performed in parallel with steps S10 to 14, steps S20 to 24, and steps S30 to 34 described above. The detection means 81 analyzes the behavior information of the vehicle 10 acquired by the third acquisition means 77 to detect the degree of dangerous driving (sudden start, sudden braking, sudden steering, etc.).
　次に、サーバ５０の第４判定手段８２は、第４検出手段８１によって検出された危険運転度が所定の条件を満たした場合に、第４インシデントと判定する。第４インシデントか否かの判定は、第４インシデント判定条件６４を満たすか否かにより行う。 Next, the fourth determination means 82 of the server 50 determines that it is a fourth incident when the dangerous driving degree detected by the fourth detection means 81 satisfies a predetermined condition. The determination as to whether or not it is the fourth incident is performed depending on whether or not the fourth incident determination condition 64 is satisfied.
　そして、サーバ５０の決定手段は、第４インシデントが判定された場合には、第１インシデントと、第２インシデントおよび／または第３インシデントと、第４インシデントとの組み合わせが所定の条件（重大インシデント判定条件６５）を満たした場合に、重大インシデントと判定する。 Then, when the fourth incident is determined, the determination means of the server 50 is that the combination of the first incident, the second incident and / or the third incident, and the fourth incident is a predetermined condition (serious incident determination). When the condition 65) is satisfied, it is determined as a serious incident.
　また、本実施形態において、学習手段８８によってドライバー１２の個体差を学習して、ドライバー毎に所定の条件（第１インシデント判定条件６０、第２インシデント判定条件６２、第４インシデント判定条件６４、重大インシデント判定条件６５のうちの一つ以上の条件）を最適化してもよい。ドライバー１２の個体差をインシデント判定条件に反映させることで、より正確なインシデントの判定を行うことができる。 Further, in the present embodiment, the individual difference of the driver 12 is learned by the learning means 88, and predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, seriousness) are learned for each driver. One or more of the incident determination conditions 65) may be optimized. By reflecting the individual differences of the drivers 12 in the incident determination conditions, more accurate incident determination can be performed.
　また、学習手段８８は、出発前のドライバー１２の体調に応じて、所定の条件（第１インシデント判定条件６０、第２インシデント判定条件６２、第４インシデント判定条件６４、重大インシデント判定条件６５のうちの一つ以上の条件）を最適化してもよい。出発前のドライバー１２の体調をインシデント判定条件に反映させることで、ドライバー１２の当日の体調を加味して、より正確なインシデントの判定を行うことができる。 Further, the learning means 88 is among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) according to the physical condition of the driver 12 before departure. One or more of the conditions) may be optimized. By reflecting the physical condition of the driver 12 before departure in the incident determination condition, it is possible to make a more accurate determination of the incident by taking into account the physical condition of the driver 12 on the day.
　＜効果＞・・・以上説明した実施形態によれば、運転中のドライバーの生体情報を取得し、生体情報を解析し、体調を検出して、検出された体調が所定の条件を満たしたら、第１インシデントと判定して、ドライバーの動作情報を取得し、動作情報を解析し、動作を検出し、検出された動作が所定の条件を満たしたら、第２インシデントと判定して、車両の挙動情報を取得し、挙動情報を解析し、挙動を検出し、検出された挙動を道路標識情報と照合して法令遵守していなかったら、第３インシデントと判定して、第１インシデントと、第２インシデントおよび／または第３インシデントの組み合わせが所定の条件を満たしたら、重大インシデントが発生したと決定して、重大インシデントの関連情報を管理者に通知する。このため、運転中のドライバーの体調を考慮したインシデントを管理者に通知することができ、管理者９０がフォローすべき危険な状況（重大インシデント）が検知された際に、管理者９０のもつ端末へ通知することで、適切なフォローを行って事故を未然に防ぐのに役立つ。 <Effect> ... According to the embodiment described above, when the biological information of the driver during driving is acquired, the biological information is analyzed, the physical condition is detected, and the detected physical condition satisfies a predetermined condition, It is determined to be the first incident, the driver's motion information is acquired, the motion information is analyzed, the motion is detected, and when the detected motion satisfies a predetermined condition, it is determined to be the second incident and the behavior of the vehicle. If the information is acquired, the behavior information is analyzed, the behavior is detected, and the detected behavior is collated with the road sign information and the law is not complied with, it is judged as a third incident, and the first incident and the second incident. When the combination of the incident and / or the third incident meets the predetermined conditions, it is determined that a serious incident has occurred and the administrator is notified of the relevant information of the serious incident. Therefore, it is possible to notify the administrator of an incident considering the physical condition of the driver while driving, and when a dangerous situation (serious incident) that the administrator 90 should follow is detected, the terminal of the administrator 90 Notifying you will help you to follow up properly and prevent accidents.
　なお、上述した実施形態は一例であり、同様の効果を奏する範囲内で適宜変更が可能である。また、サーバ５０は、単体のコンピュータであってもよく、例えば、端末であってもよい。また、上述した機能構成が、それぞれ異なるコンピュータで実行されるコンピュータシステム（クラウド）であってもよい。さらに、本実施形態では、多くの処理をサーバ５０で実行することとしたが、エッジ（センサ類など）側で情報の取得、解析・検出、インシデントの判定を行うようにしてもよい。エッジ側で多くの処理を行うことにより、サーバ５０へのデータ送信量を減らすことができる。また、本発明は、サーバ５０で実行されるプログラムとして提供されてもよい。このプログラムは、コンピュータが読取可能な記録媒体に記録された状態で提供されていてもよいし、ネットワークを介してダウンロードしてもよい。また、本発明は、方法の発明として提供されてもよい。 Note that the above-described embodiment is an example, and can be appropriately changed within a range in which the same effect is obtained. Further, the server 50 may be a single computer, for example, a terminal. Further, the above-mentioned functional configuration may be a computer system (cloud) executed by different computers. Further, in the present embodiment, although many processes are executed on the server 50, information acquisition, analysis / detection, and incident determination may be performed on the edge (sensors, etc.) side. By performing a lot of processing on the edge side, the amount of data transmitted to the server 50 can be reduced. Further, the present invention may be provided as a program executed by the server 50. The program may be provided as recorded on a computer-readable recording medium or may be downloaded over a network. The present invention may also be provided as an invention of the method.
　本発明によれば、運転中のドライバーの生体情報を取得し、生体情報を解析し、体調を検出して、検出された体調が所定の条件を満たしたら、第１インシデントと判定して、ドライバーの動作情報を取得し、動作情報を解析し、動作を検出し、検出された動作が所定の条件を満たしたら、第２インシデントと判定して、車両の挙動情報を取得し、挙動情報を解析し、挙動を検出し、検出された挙動を道路標識情報と照合して法令遵守していなかったら、第３インシデントと判定して、第１インシデントと、第２インシデントおよび／または第３インシデントの組み合わせが所定の条件を満たしたら、重大インシデントが発生したと決定して、重大インシデントの関連情報を管理者に通知する。これにより、運転中のドライバーの体調を考慮したインシデントを管理者に通知することができるため、運転中インシデント通知システムとして好適である。 According to the present invention, the biometric information of the driver during driving is acquired, the biometric information is analyzed, the physical condition is detected, and if the detected physical condition satisfies a predetermined condition, it is determined as the first incident and the driver. When the motion information of the vehicle is acquired, the motion information is analyzed, the motion is detected, and the detected motion satisfies a predetermined condition, it is determined as a second incident, the vehicle behavior information is acquired, and the behavior information is analyzed. However, if the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident. If the prescribed conditions are met, it is determined that a serious incident has occurred, and the administrator is notified of the relevant information of the serious incident. This makes it possible to notify the administrator of an incident considering the physical condition of the driver while driving, which is suitable as an incident notification system during driving.
　１０：車両
　１２：ドライバー
　２０：端末
　２２：ハンドルカバー型心電計
　２４：シートカバー型心電計
　２６：車外向きドライブレコーダ
　２８：危険通知ボタン
　３０Ａ、３０Ｂ：ＩｏＴドライブレコーダ
　４０：ドライバー生体情報センシング部
　４２：車両情報センシング部
　４４：ドライバー動作センシング部
　４６：通信部
　５０：サーバ
　５２：プロセッサ
　５４：メモリ
　５６：ストレージ
　５８：取得情報
　６０：第１インシデント判定条件
　６２：第２インシデント判定条件
　６３：道路標識情報
　６４：第４インシデント判定条件
　６５：重大インシデント判定条件
　６６：インシデント関連情報
　６７：地図情報
　６８：通信部
　７０：第１取得手段
　７１：第１検出手段
　７２：第１判定手段
　７３：第２取得手段
　７４：第２検出手段
　７６：第２判定手段
　７７：第３取得手段
　７８：第３検出手段
　８０：第３判定手段
　８１：第４検出手段
　８２：第４判定手段
　８４：決定手段
　８６：通知手段
　８８：学習手段
　９０：管理者
　９２：管理者端末
　９４：表示部
　９６：入力部
　９８：通信部
１００：運転中インシデント通知システム
１０１：地図
１０２：アイコン
１０４：再生ボタン
１０６：画像
１０６Ａ：車外画像
１０６Ｂ：車内画像
 
  10: Vehicle 12: Driver 20: Terminal 22: Handle cover type electrocardiograph 24: Seat cover type electrocardiograph 26: Vehicle outward drive recorder 28: Danger notification button 30A, 30B: IoT drive recorder 40: Driver biometric information sensing unit 42: Vehicle information sensing unit 44: Driver operation sensing unit 46: Communication unit 50: Server 52: Processor 54: Memory 56: Storage 58: Acquired information 60: First incident determination condition 62: Second incident determination condition 63: Road sign Information 64: Fourth incident judgment condition 65: Serious incident judgment condition 66: Incident-related information 67: Map information 68: Communication unit 70: First acquisition means 71: First detection means 72: First judgment means 73: Second acquisition Means 74: Second detection means 76: Second determination means 77: Third acquisition means 78: Third detection means 80: Third determination means 81: Fourth detection means 82: Fourth determination means 84: Determination means 86: Notification Means 88: Learning means 90: Administrator 92: Administrator terminal 94: Display unit 96: Input unit 98: Communication unit 100: Driving incident notification system 101: Map 102: Icon 104: Play button 106: Image 106A: Outside vehicle image 106B: Inside image

Claims (6)

  1. 　運転中のドライバーの生体情報を取得する第１取得手段と、
    　前記取得された生体情報を解析して、前記ドライバーの体調を検出する第１検出手段と、
    　前記検出された体調が所定の条件を満たした場合に、第１インシデントと判定する第１判定手段と、
    　前記ドライバーの動作情報を取得する第２取得手段と、
    　前記取得された動作情報を解析して、前記ドライバーの動作を検出する第２検出手段と、
    　前記検出された動作が所定の条件を満たした場合に、第２インシデントと判定する第２判定手段と、
    　前記ドライバーが運転している車両の挙動情報を取得する第３取得手段と、
    　前記取得された車両の挙動情報を解析して、前記車両の挙動を検出する第３検出手段と、
    　前記検出された挙動を道路標識情報と照合して、法令遵守していない場合に、第３インシデントと判定する第３判定手段と、
    　前記第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定する決定手段と、
    　前記重大インシデントが発生したことに関する関連情報を管理者に通知する通知手段と、
    を備える運転中インシデント通知システム。     The first acquisition means for acquiring the biological information of the driver while driving,
    A first detection means for analyzing the acquired biological information to detect the physical condition of the driver,
    When the detected physical condition satisfies a predetermined condition, the first determination means for determining the first incident and the first determination means.
    A second acquisition means for acquiring the operation information of the driver, and
    A second detection means that analyzes the acquired operation information and detects the operation of the driver.
    A second determination means for determining a second incident when the detected operation satisfies a predetermined condition,
    A third acquisition means for acquiring the behavior information of the vehicle driven by the driver, and
    A third detection means that analyzes the acquired behavior information of the vehicle and detects the behavior of the vehicle.
    A third determination means that collates the detected behavior with the road sign information and determines that it is a third incident when it does not comply with the law.
    A means for determining that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident meets a predetermined condition.
    Notification means for notifying administrators of relevant information regarding the occurrence of the serious incident,
    An incident notification system while driving.
  2. 　前記取得された車両の挙動情報を解析して、危険運転度を検出する第４検出手段と、
    　前記危険運転度が所定の条件を満たした場合に、第４インシデントと判定する第４判定手段と、を備え、
    　前記決定手段は、前記第１インシデントと、第２インシデントおよび／または第３インシデントと、第４インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定する請求項１記載の運転中インシデント通知システム。     A fourth detecting means for detecting the degree of dangerous driving by analyzing the acquired behavior information of the vehicle,
    A fourth determination means for determining a fourth incident when the dangerous driving degree satisfies a predetermined condition is provided.
    A claim that the determination means determines that a serious incident has occurred when the combination of the first incident, the second incident and / or the third incident, and the fourth incident satisfies a predetermined condition. 1 The driving incident notification system described.
  3. 　前記ドライバーの個体差を学習して、ドライバー毎に前記所定の条件を最適化する学習手段と、
    を備える請求項１又は２記載の運転中インシデント通知システム。     A learning means that learns the individual differences of the drivers and optimizes the predetermined conditions for each driver.
    The in-service incident notification system according to claim 1 or 2.
  4. 　出発前の前記ドライバーの体調に応じて、前記所定の条件を最適化する学習手段と、
    を備える請求項１又は２記載の運転中インシデント通知システム。     A learning means that optimizes the predetermined conditions according to the physical condition of the driver before departure, and
    The in-service incident notification system according to claim 1 or 2.
  5. 　運転中のドライバーの生体情報を取得するステップと、
    　前記取得された生体情報を解析して、前記ドライバーの体調を検出するステップと、
    　前記検出された体調が所定の条件を満たした場合に、第１インシデントと判定するステップと、
    　前記ドライバーの動作情報を取得するステップと、
    　前記取得された動作情報を解析して、前記ドライバーの動作を検出するステップと、
    　前記検出された動作が所定の条件を満たした場合に、第２インシデントと判定するステップと、
    　前記ドライバーが運転している車両の挙動情報を取得するステップと、
    　前記取得された車両の挙動情報を解析して、前記車両の挙動を検出するステップと、
    　前記検出された挙動を道路標識情報と照合して、法令遵守していない場合に、第３インシデントと判定するステップと、
    　前記第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定するステップと、
    　前記重大インシデントが発生したことに関する関連情報を管理者に通知するステップと、
    を備える運転中インシデント通知方法。     Steps to acquire biometric information of the driver while driving,
    A step of analyzing the acquired biological information to detect the physical condition of the driver, and
    A step of determining a first incident when the detected physical condition satisfies a predetermined condition, and
    The step of acquiring the operation information of the driver and
    A step of analyzing the acquired operation information to detect the operation of the driver, and
    A step of determining a second incident when the detected operation satisfies a predetermined condition, and
    The step of acquiring the behavior information of the vehicle driven by the driver, and
    A step of analyzing the acquired behavior information of the vehicle to detect the behavior of the vehicle, and
    The step of collating the detected behavior with the road sign information and determining that it is a third incident when it does not comply with the law,
    A step of determining that a serious incident has occurred when the combination of the first incident, the second incident and / or the third incident meets a predetermined condition, and
    Steps to notify administrators of relevant information regarding the occurrence of the critical incident,
    A driving incident notification method.
  6. 　コンピュータに、
    　運転中のドライバーの生体情報を取得するステップと、
    　前記取得された生体情報を解析して、前記ドライバーの体調を検出するステップと、
    　前記検出された体調が所定の条件を満たした場合に、第１インシデントと判定するステップと、
    　前記ドライバーの動作情報を取得するステップと、
    　前記取得された動作情報を解析して、前記ドライバーの動作を検出するステップと、
    　前記検出された動作が所定の条件を満たした場合に、第２インシデントと判定するステップと、
    　前記ドライバーが運転している車両の挙動情報を取得するステップと、
    　前記取得された車両の挙動情報を解析して、前記車両の挙動を検出するステップと、
    　前記検出された挙動を道路標識情報と照合して、法令遵守していない場合に、第３インシデントと判定するステップと、
    　前記第１インシデントと、第２インシデントおよび／または第３インシデントと、の組み合わせが、所定の条件を満たした場合に、重大インシデントが発生したと決定するステップと、
    　前記重大インシデントが発生したことに関する関連情報を管理者に通知するステップと、
    を実行させるための運転中インシデント通知プログラム。
     
          On the computer
    Steps to acquire biometric information of the driver while driving,
    A step of analyzing the acquired biological information to detect the physical condition of the driver, and
    A step of determining a first incident when the detected physical condition satisfies a predetermined condition, and
    The step of acquiring the operation information of the driver and
    A step of analyzing the acquired operation information to detect the operation of the driver, and
    A step of determining a second incident when the detected operation satisfies a predetermined condition, and
    The step of acquiring the behavior information of the vehicle driven by the driver, and
    A step of analyzing the acquired behavior information of the vehicle to detect the behavior of the vehicle, and
    The step of collating the detected behavior with the road sign information and determining that it is a third incident when it does not comply with the law,
    A step of determining that a serious incident has occurred when the combination of the first incident, the second incident and / or the third incident meets a predetermined condition, and
    Steps to notify administrators of relevant information regarding the occurrence of the critical incident,
    Incident notification program while driving to run.
PCT/JP2019/031527 2019-08-08 2019-08-08 During-driving incident notification system, method, and program WO2021024495A1 (en)

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