WO2018025386A1 - Programme et procédé de commande d'avertissement et dispositif de traitement d'informations - Google Patents

Programme et procédé de commande d'avertissement et dispositif de traitement d'informations Download PDF

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Publication number
WO2018025386A1
WO2018025386A1 PCT/JP2016/073008 JP2016073008W WO2018025386A1 WO 2018025386 A1 WO2018025386 A1 WO 2018025386A1 JP 2016073008 W JP2016073008 W JP 2016073008W WO 2018025386 A1 WO2018025386 A1 WO 2018025386A1
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WO
WIPO (PCT)
Prior art keywords
driver
warning
attribute
risk point
high risk
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PCT/JP2016/073008
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English (en)
Japanese (ja)
Inventor
耕世 高野
Original Assignee
富士通株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 富士通株式会社 filed Critical 富士通株式会社
Priority to PCT/JP2016/073008 priority Critical patent/WO2018025386A1/fr
Priority to JP2018531698A priority patent/JP6669259B2/ja
Publication of WO2018025386A1 publication Critical patent/WO2018025386A1/fr

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • 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
    • G08G1/16—Anti-collision systems

Definitions

  • the present invention relates to a warning control program, a warning control method, and an information processing apparatus.
  • operation information is collected from a vehicle equipped with an operation recorder having a communication function (hereinafter also referred to as a digital tachograph) and analyzed. It is also proposed to extract high-risk points where the number of accidents is large by analyzing the operation information, and to issue a warning to the driver when the vehicle approaches the high-risk point.
  • a communication function hereinafter also referred to as a digital tachograph
  • the present invention provides a warning control program, a warning control method, and an information processing apparatus that can reduce the risk of an accident at a high risk point.
  • the warning control program causes the computer to execute processing for classifying the driver into attributes based on driving habits based on the driving history of the driver.
  • the warning control program performs a process of outputting a warning according to the attribute when the position of the vehicle approaches a high risk point based on the classified attribute and the position information of the vehicle driven by the driver. Let the computer run.
  • FIG. 1 is a block diagram illustrating an example of the configuration of the warning control system according to the embodiment.
  • FIG. 2 is a diagram illustrating an example of a travel history database.
  • FIG. 3 is a diagram illustrating an example of the driver attribute storage unit.
  • FIG. 4 is a diagram illustrating an example of the high risk point storage unit.
  • FIG. 5 is a diagram illustrating an example of a high risk point.
  • FIG. 6 is a flowchart illustrating an example of the classification process according to the embodiment.
  • FIG. 7 is a flowchart illustrating an example of the warning control process according to the embodiment.
  • FIG. 8 is a diagram illustrating an example of a computer that executes a warning control program.
  • FIG. 1 is a block diagram illustrating an example of a configuration of a warning control system according to an embodiment.
  • a warning control system 1 illustrated in FIG. 1 includes a terminal device 10 and an information processing device 100.
  • FIG. 1 shows a case where the system has one terminal device 10 and information processing device 100, the number of terminal devices 10 and information processing devices 100 is not limited, and the warning control system 1 You may have the terminal device 10 and the information processing apparatus 100 of a number.
  • the terminal device 10 and the information processing device 100 are connected to each other via a network N so that they can communicate with each other.
  • a network N any type of communication network such as the Internet, LAN (Local Area Network), and VPN (Virtual Private Network) can be adopted regardless of wired or wireless.
  • the warning control system 1 collects, for example, operation information transmitted from the terminal device 10 mounted on the vehicle by the information processing apparatus 100, associates the operation information with the driver and the vehicle, and travel history database (hereinafter referred to as travel history DB).
  • travel history database hereinafter referred to as travel history DB.
  • An example of the terminal device 10 is a digital tachograph (digital tachograph) having a communication function. That is, for example, the terminal device 10 transmits operation information including vehicle position information and a driver ID (IDentifier) to the information processing device 100 at predetermined time intervals during operation of the vehicle. Further, the information processing apparatus 100 stores operation information including the vehicle position information and the driver ID received from the terminal device 10 in the travel history DB as a travel history.
  • the information processing apparatus 100 refers to the travel history DB and classifies the driver into attributes based on driving habits based on the travel history of the driver.
  • the information processing apparatus 100 outputs a warning corresponding to the attribute when the position of the vehicle approaches a high risk point based on the classified attribute and the position information of the vehicle driven by the driver. Thereby, the information processing apparatus 100 can reduce the accident risk at the high risk point.
  • the terminal device 10 includes a communication unit 11, a control unit 12, a display unit 13, and an operation unit 14.
  • the terminal device 10 may include functional units such as various input devices and audio output devices in addition to the functional units illustrated in FIG.
  • the communication unit 11 is realized by, for example, a third generation mobile communication system, a mobile phone line such as LTE (Long Term Evolution), and a communication module such as a wireless LAN.
  • the communication unit 11 is a communication interface that is wirelessly connected to the information processing apparatus 100 via the network N and manages information communication with the information processing apparatus 100.
  • the terminal device 10 and the information processing device 100 are connected to the information processing device 100 via a wireless base station such as a mobile phone line
  • the connection between the wireless base station and the information processing device 100 is as follows. Connected wirelessly or wired.
  • the communication unit 11 transmits operation information including the vehicle position information and the driver ID input from the control unit 12 to the information processing apparatus 100. Further, the communication unit 11 receives warning information from the information processing apparatus 100.
  • the communication unit 11 outputs the received warning information to the control unit 12.
  • the control unit 12 is realized, for example, by executing a program stored in an internal storage device by using a RAM (Random Access Memory) as a work area by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. Is done.
  • the control unit 12 may be realized by an integrated circuit such as ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).
  • control unit 12 provides operation information including vehicle position information, speed, and the like acquired by a satellite positioning system such as GPS (Global Positioning System) and a driver ID via the network N, for example, every second. It transmits to the processing apparatus 100.
  • a satellite positioning system such as GPS (Global Positioning System)
  • driver ID a driver ID
  • the control unit 12 may collectively transmit operation information for a time that has been out of service area after the communication is connected.
  • the control unit 12 receives warning information from the information processing apparatus 100 via the network N and the communication unit 11.
  • the control unit 12 displays the warning information on the display unit 13. Further, the control unit 12 outputs a warning sound to a speaker (not shown).
  • the display unit 13 is a display device for displaying various information.
  • the display unit 13 is realized by, for example, a liquid crystal display as a display device.
  • the display unit 13 displays various screens such as a display screen input from the control unit 12.
  • the operation unit 14 is an input device that receives various operations from a driver who is a user of the terminal device 10.
  • the operation unit 14 is realized by, for example, a touch panel as an input device.
  • the input device of the operation unit 14 may be integrated with a liquid crystal display which is an example of the display device of the display unit 13.
  • the operation unit 14 outputs an operation input by the driver to the control unit 12 as operation information.
  • the operation unit 14 may be realized by another input device such as a switch or a remote controller.
  • the information processing apparatus 100 includes a communication unit 110, a display unit 111, an operation unit 112, a storage unit 120, and a control unit 130.
  • the information processing apparatus 100 may include functional units such as various input devices and audio output devices in addition to the functional units illustrated in FIG.
  • the communication unit 110 is realized by, for example, a third generation mobile communication system, a mobile phone line such as LTE, and a communication module such as a wireless LAN.
  • the communication unit 110 is realized by, for example, a NIC (Network Interface Card) when communicating with the terminal device 10 via a wireless base station such as a mobile phone line.
  • the communication unit 110 is a communication interface that is wirelessly or wiredly connected to the terminal device 10 via the network N and manages information communication with the terminal device 10.
  • the communication unit 110 receives operation information from the terminal device 10.
  • the communication unit 110 outputs the received operation information to the control unit 130. Further, the communication unit 110 transmits the warning information input from the control unit 130 to the terminal device 10.
  • the display unit 111 is a display device for displaying various information.
  • the display unit 111 is realized by, for example, a liquid crystal display as a display device.
  • the display unit 111 displays various screens such as a display screen input from the control unit 130.
  • the operation unit 112 is an input device that receives various operations from the administrator of the information processing apparatus 100.
  • the operation unit 112 is realized by, for example, a keyboard or a mouse as an input device.
  • the operation unit 112 outputs an operation input by the administrator to the control unit 130 as operation information.
  • the operation unit 112 may be realized by a touch panel or the like as an input device, and the display device of the display unit 111 and the input device of the operation unit 112 may be integrated.
  • the storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk.
  • the storage unit 120 includes a travel history DB 121, a driver attribute storage unit 122, and a high risk point storage unit 123.
  • the storage unit 120 stores information used for processing in the control unit 130.
  • the travel history DB 121 is a database that stores operation information acquired from the terminal device 10, that is, a travel history.
  • FIG. 2 is a diagram illustrating an example of a travel history database.
  • the travel history DB 121 includes “driver ID”, “vehicle ID”, “date and time”, “latitude”, “longitude”, “speed”, “G value (front and back)”, “G value ( Horizontal) ”and“ G value (up and down) ”.
  • the travel history DB 121 stores one record for each piece of operation information. For example, in the case of operation information every second, the travel history DB 121 stores operation information every second as one record.
  • “Driver ID” is an identifier for identifying a driver.
  • Vehicle ID is an identifier for identifying a vehicle.
  • “Date and time” is information indicating the date and time when the operation information is acquired by the terminal device 10.
  • “Latitude” and “longitude” are information indicating the position of the vehicle on which the terminal device 10 is mounted.
  • “Speed” is information indicating the speed of the vehicle on which the terminal device 10 is mounted.
  • “G value (front and back)”, “G value (horizontal)”, and “G value (up and down)” are information indicating acceleration in each direction applied to the vehicle on which the terminal device 10 is mounted. That is, the travel history stored in the travel history DB 121 is information on whether or not the driver has traveled with a vehicle at a high risk point and whether or not there is a habit of decelerating the vehicle speed at the high risk point. Is included.
  • the driver attribute storage unit 122 stores attributes based on driving habits classified based on the driving history for each driver.
  • FIG. 3 is a diagram illustrating an example of the driver attribute storage unit. As illustrated in FIG. 3, the driver attribute storage unit 122 includes items such as “driver ID” and “attribute”. The driver attribute storage unit 122 stores one record for each driver.
  • “Driver ID” is an identifier for identifying a driver.
  • “Attribute” is information indicating an attribute based on the driving habits of the driver, and can be, for example, three of a first attribute, a second attribute, and a third attribute.
  • the first attribute is an attribute indicating a driver who has a habit of entering the high-risk point without decelerating regardless of the familiarity of the driver at the high-risk point.
  • the driver's familiarity can be evaluated, for example, in five stages based on information indicating how many times the high-risk point has been traveled.
  • the driver's familiarity is, for example, “1” for the number of running times of 0, “2” for 1 to less than 10 times, “3” for 10 to less than 20 times, “4” for 20 to less than 50 times, 50 times or more can be set to “5”.
  • the second attribute is that at high risk points where the driver's familiarity is greater than or equal to a predetermined value, deceleration starts before warning output, but at high risk points where the familiarity is less than the predetermined value, the vehicle enters without deceleration.
  • This attribute indicates a driver who has a habit of doing.
  • the predetermined value of the driver's familiarity may be, for example, “3”.
  • the third attribute is an attribute indicating a driver who has a track record of starting deceleration before a warning is output a predetermined number of times or more at a high risk point where the driver's familiarity is less than a predetermined value.
  • the predetermined value of the driver's familiarity can be set to “3”, for example, similarly to the second attribute.
  • the predetermined number of times of starting deceleration before outputting the warning can be an arbitrary number, for example, five times.
  • the high risk point storage unit 123 stores the positional information of the high risk point having a large number of accidents and the familiarity of each driver at the high risk point in association with each other.
  • FIG. 4 is a diagram illustrating an example of the high risk point storage unit. As illustrated in FIG. 4, the high risk point storage unit 123 includes items such as “point ID”, “latitude”, “longitude”, “extra high risk”, and “driver's familiarity”. The “driver's familiarity” includes each driver ID as an item.
  • “Point ID” is an identifier for identifying a high risk point.
  • “Latitude” and “longitude” are information indicating the position of a high-risk point.
  • “Extra high risk” is information indicating that the number of sudden decelerations is greater than or equal to a predetermined number in the driving history of each driver classified as the third attribute. Note that the predetermined number of cases can be, for example, ten.
  • “Extra high risk” is, for example, circled when it is a special high risk point.
  • the items “point ID”, “latitude”, “longitude”, and “special high risk” are input in advance by the administrator of the information processing apparatus 100 and stored in the high risk point storage unit 123, for example.
  • “Driver's familiarity” is information indicating the familiarity at the high-risk point for each driver. The driver's familiarity can use, for example, the same five-level evaluation as that of the driver attribute storage unit 122.
  • the high-risk point with the point ID “P001” indicates that the driver with the driver ID “D001” has a familiarity level “1” and has never traveled.
  • a driver with a driver ID “D002” has a familiarity level “3”, indicating that he has traveled 10 to less than 20 times.
  • a driver with a driver ID “D003” has a familiarity level “4”, indicating that he has traveled 20 to less than 50 times.
  • a driver with a driver ID “D003” has a familiarity level “4”, indicating that he has traveled 20 to less than 50 times.
  • the driver with driver ID “D004” has a familiarity level of “5”, indicating that he has traveled 50 times or more.
  • control unit 130 is realized by, for example, a CPU or MPU executing a program stored in an internal storage device using the RAM as a work area.
  • the control unit 130 may be realized by an integrated circuit such as ASIC or FPGA, for example.
  • the control unit 130 includes an acquisition unit 131, a classification unit 132, and a warning output unit 133, and realizes or executes functions and operations of information processing described below.
  • the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 1, and may be another configuration as long as the information processing described below is performed.
  • the acquisition unit 131 When the acquisition unit 131 receives operation information from the terminal device 10 via the network N and the communication unit 110, the acquisition unit 131 stores the received operation information in the travel history DB 121.
  • the acquisition unit 131 extracts vehicle position information and a driver ID from the received operation information. That is, the acquisition unit 131 starts acquiring vehicle position information and a driver ID.
  • the acquisition unit 131 outputs the acquired vehicle position information and driver ID to the warning output unit 133. For example, when operation information is sent from the terminal device 10 at intervals of 1 second, the acquisition unit 131 outputs the vehicle position information and driver ID extracted at intervals of 1 second to the warning output unit 133.
  • the classification unit 132 acquires the travel history of each driver from the travel history DB 121.
  • the classification unit 132 calculates a driver's familiarity for each high-risk point for each driver to be classified based on the acquired travel history. For example, as described above, the classification unit 132 can evaluate the driver's familiarity based on the number of times of traveling at each high-risk point, for example, in five stages.
  • the classification unit 132 stores the calculated familiarity of the driver in the high risk point storage unit 123 in association with the point ID.
  • the classification unit 132 refers to the travel history DB 121 and the high-risk point storage unit 123, and sets each driver to the first attribute, the second attribute, and the driving habits at the high-risk point of the driver to be classified. Classify into any of the third attributes.
  • the classification unit 132 stores the classified attribute in the driver attribute storage unit 122 in association with the driver ID.
  • the classification unit 132 classifies, for example, a driver having a habit of entering the high risk point without decelerating as the first attribute regardless of the driver's familiarity at the high risk point. For example, the classification unit 132 starts deceleration before warning output at a high-risk point where the driver's familiarity is a predetermined value or more, but decelerates at a high-risk point where the familiarity is less than the predetermined value. A driver who has a habit of entering without classifying is classified into the second attribute.
  • the classification unit 132 classifies, for example, a driver who has a track record of starting deceleration before outputting a warning more than a predetermined number of times as a third attribute at a high risk point where the driver's familiarity is less than a predetermined value.
  • the predetermined value may be “3”, for example.
  • the predetermined number of times can be set to 5 times, for example.
  • the warning output unit 133 refers to the high risk point storage unit 123, and the vehicle is approaching the high risk point based on the vehicle position information. It is determined whether or not.
  • the warning output unit 133 continuously monitors the vehicle position information when the vehicle is not approaching the high risk point.
  • the warning output unit 133 determines whether there is traveling experience at the high-risk point that is approaching based on the position information of the vehicle.
  • the traveling experience has traveling experience when, for example, the driver's familiarity at the high risk point is “3” or more.
  • the warning output unit 133 refers to the driver attribute storage unit 122 based on the driver ID and determines whether or not the driver is the first attribute when there is traveling experience at a high risk point that is approaching.
  • the warning output unit 133 outputs a warning when the driver has the first attribute. That is, the warning output unit 133 transmits the warning information to the terminal device 10 mounted on the driver's vehicle via the communication unit 110 and the network N.
  • the warning output unit 133 does not output a warning when the driver is not the first attribute.
  • the warning output unit 133 determines whether or not there is traveling experience at a high-risk point that is approaching, determines whether the driver has the first attribute or the second attribute when there is no traveling experience at the high-risk point that is approaching. It is determined whether or not.
  • the warning output unit 133 gives a warning to the terminal device 10 mounted on the driver's vehicle via the communication unit 110 and the network N. Send information.
  • the warning output unit 133 determines whether or not the approaching high risk point is a special high risk point.
  • the warning output unit 133 warns the terminal device 10 mounted on the driver's vehicle via the communication unit 110 and the network N. Send information.
  • the warning output unit 133 does not output a warning when the approaching high risk point is not a special high risk point.
  • the warning output unit 133 monitors the position information of the vehicle until the vehicle on which the terminal device 10 is mounted finishes driving.
  • the warning output unit 133 outputs a warning regardless of the driver's attribute when the vehicle is approaching a high-risk point and there is another vehicle near the high-risk point, for example, an intersecting road. That is, the warning information may be transmitted to the terminal device 10.
  • the presence / absence of another vehicle can be determined, for example, by acquiring information detected by a vehicle detector provided at an intersection from a system that manages traffic information.
  • the presence or absence of other vehicles may be detected using, for example, a millimeter wave radar mounted on the vehicle.
  • FIG. 5 is a diagram illustrating an example of a high risk point.
  • an intersection 23 between the road 21 and the road 22 is an example of an intersection where a vehicle that comes out of the road 22 is likely to cause an accident in which the vehicle hidden behind the tree 24 is likely to occur, that is, an example of a high risk point.
  • the information processing apparatus 100 is connected to the terminal device 10 when the vehicle does not decelerate beyond the warning point 25, for example. Send warning information to.
  • warning information is transmitted from the information processing apparatus 100 to the terminal device 10 at the time of the warning point 25 for a driver having the first attribute or the second attribute who has no experience of traveling at the intersection 23. .
  • the driver having the second attribute or the third attribute who has traveled at the intersection 23 proceeds along the route 28 and starts decelerating at a point 29 before the warning point 25.
  • the information processing apparatus 100 does not transmit warning information to the terminal apparatus 10 because it is determined that the driver decelerates sufficiently when entering the intersection 23.
  • the course 26 and the course 28 are described in parallel for explanation, it is assumed that the vehicle is actually traveling in the same lane.
  • FIG. 6 is a flowchart illustrating an example of the classification process according to the embodiment.
  • the classification unit 132 of the information processing apparatus 100 acquires the travel history of each driver from the travel history DB 121 (step S1).
  • the classification unit 132 calculates the driver's familiarity for each high-risk point for each driver to be classified based on the acquired travel history (step S2).
  • the classification unit 132 stores the calculated familiarity of the driver in the high risk point storage unit 123 in association with the point ID.
  • the classification unit 132 refers to the travel history DB 121 and the high risk point storage unit 123 and classifies each driver into an attribute based on driving habits (step S3).
  • the classification unit 132 stores the classified attribute in the driver attribute storage unit 122 in association with the driver ID. Thereby, the information processing apparatus 100 can calculate the familiarity of each driver for each high-risk point, and classify each driver into attributes based on driving habits.
  • FIG. 7 is a flowchart illustrating an example of the warning control process according to the embodiment.
  • the acquisition unit 131 of the information processing apparatus 100 receives vehicle operation information from the terminal device 10 and starts acquiring position information and a driver ID of the vehicle (step S11).
  • the acquisition unit 131 outputs the acquired vehicle position information and driver ID to the warning output unit 133.
  • the warning output unit 133 determines whether or not the vehicle is approaching a high risk point based on the vehicle position information (step) S12). When the vehicle is not approaching the high risk point (No at Step S12), the warning output unit 133 proceeds to Step S18. When the vehicle is approaching the high-risk point (step S12: Yes), the warning output unit 133 determines whether there is traveling experience at the approaching high-risk point based on the position information of the vehicle. (Step S13).
  • the warning output unit 133 determines whether or not the driver is the first attribute based on the driver ID when there is a traveling experience at the high-risk point that is approaching (step S13: Yes) (step S14). ). When the driver has the first attribute (step S14: affirmative), the warning output unit 133 transmits warning information to the terminal device 10 mounted on the driver's vehicle (step S15). Proceed to step S18. If the driver is not the first attribute (No at Step S14), the warning output unit 133 does not transmit the warning information and proceeds to Step S18.
  • the warning output unit 133 determines whether or not there is a traveling experience at a high-risk point that is approaching, and if there is no traveling experience at a high-risk point that is approaching (No at step S13), the driver outputs the first It is determined whether the attribute is the attribute or the second attribute (step S16). If the driver has the first attribute or the second attribute (Yes at Step S16), the warning output unit 133 transmits warning information to the terminal device 10 mounted on the driver's vehicle. (Step S15), the process proceeds to Step S18.
  • the warning output unit 133 determines whether or not the approaching high risk point is a special high risk point (Step S17). ). When the approaching high-risk point is a special high-risk point (Yes at step S17), the warning output unit 133 transmits warning information to the terminal device 10 mounted on the driver's vehicle. (Step S15), the process proceeds to Step S18. If the approaching high risk point is not the special high risk point (No at Step S17), the warning output unit 133 does not transmit the warning information and proceeds to Step S18.
  • the warning output unit 133 determines whether or not the driving is finished based on the vehicle position information (step S18).
  • the warning output part 133 returns to step S12, when not driving
  • the information processing apparatus 100 classifies the driver into attributes based on driving habits based on the driving history of the driver. Further, the information processing apparatus 100 outputs a warning corresponding to the attribute when the position of the vehicle approaches a high risk point based on the classified attribute and the position information of the vehicle driven by the driver. As a result, the risk of accidents at high risk points can be reduced.
  • the attribute is the first attribute indicating the driver who has a habit of entering the high risk point without decelerating regardless of the driver's familiarity at the high risk point.
  • Output warnings at risk points As a result, the risk of an accident at a high risk point of a driver who has a habit of entering the high risk point without decelerating can be reduced.
  • the attribute starts deceleration before warning output at a high risk point where the driver's familiarity is a predetermined value or more, but at a high risk point where the familiarity is less than the predetermined value
  • the second attribute may indicate a driver who has a habit of entering without decelerating.
  • the information processing apparatus 100 does not output a warning at a high risk point where the familiarity is equal to or higher than a predetermined value, and warns at a high risk point where the familiarity is less than the predetermined value. Is output.
  • the attribute is a third attribute indicating a driver who has a history of starting deceleration before outputting a warning at a high risk point where the driver's familiarity is less than a predetermined value. It may be.
  • the attribute is the third attribute
  • the information processing apparatus 100 has a special high risk in which the number of sudden decelerations in the driving history of other drivers classified as the third attribute is greater than or equal to the predetermined number. Warnings are output at points, and warnings are not output at other high-risk points. As a result, it is possible to reduce the risk of accidents at high risk points of careful drivers.
  • the information processing apparatus 100 outputs a warning regardless of the attribute when there is another vehicle near the high risk point. As a result, the risk of encounter collision can be reduced.
  • the travel history includes information on whether or not the driver has traveled with a vehicle at a high risk point and whether or not there is a habit of decelerating the vehicle speed at the high risk point. Including. As a result, a warning corresponding to the driving habits of the driver can be output based on the driving history.
  • the information processing apparatus 100 performs the classification process and the warning control process.
  • the terminal device 10 is provided with a travel history DB 121, a driver attribute storage unit 122, and a high risk point storage unit 123, and the terminal device 10 performs classification processing and warning control processing for a driver of a vehicle on which the terminal device 10 is mounted. May be performed.
  • the terminal device 10 that has received the warning information has issued a warning by means of screen display or voice, but the present invention is not limited to this.
  • the reason for the warning may be notified to the driver together with the warning.
  • the intersection as shown in FIG. 5 is given as the high risk point, but it is not limited to this.
  • a road with a low prospect may be set as a high risk point
  • another point with a high risk of traffic accident may be set as a high risk point.
  • each component of each part illustrated does not necessarily need to be physically configured as illustrated.
  • the specific form of distribution / integration of each unit is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed / integrated in arbitrary units according to various loads or usage conditions. Can be configured.
  • the acquisition unit 131 and the warning output unit 133 may be integrated.
  • the illustrated processes are not limited to the above-described order, and may be performed at the same time as long as the process contents are not contradictory, or may be performed in a different order.
  • processing functions performed in each device may be executed entirely or arbitrarily on a CPU (or a microcomputer such as an MPU or MCU (Micro Controller Unit)).
  • various processing functions may be executed in whole or in any part on a program that is analyzed and executed by a CPU (or a microcomputer such as an MPU or MCU) or on hardware based on wired logic. Needless to say, it is good.
  • FIG. 8 is a diagram illustrating an example of a computer that executes a warning control program.
  • the computer 200 includes a CPU 201 that executes various arithmetic processes, an input device 202 that receives data input, and a monitor 203.
  • the computer 200 also includes a medium reading device 204 that reads a program and the like from a storage medium, an interface device 205 for connecting to various devices, and a communication device 206 for connecting to other information processing devices and the like by wire or wirelessly.
  • Have The computer 200 also includes a RAM 207 that temporarily stores various types of information and a hard disk device 208.
  • the devices 201 to 208 are connected to a bus 209.
  • the hard disk device 208 stores a warning control program having the same functions as the processing units of the acquisition unit 131, the classification unit 132, and the warning output unit 133 illustrated in FIG.
  • the hard disk device 208 also stores a travel history DB 121, a driver attribute storage unit 122, a high risk point storage unit 123, and various data for realizing a warning control program.
  • the input device 202 has a function similar to that of the operation unit 112 illustrated in FIG. 1, for example, and receives input of various types of information such as operation information from the administrator of the computer 200.
  • the monitor 203 displays various screens such as a display screen for the administrator of the computer 200, for example.
  • the interface device 205 is connected to, for example, a printing device.
  • the communication device 206 has the same function as the communication unit 110 illustrated in FIG. 1, is connected to the terminal device 10, and exchanges various information with the terminal device 10.
  • the CPU 201 reads out each program stored in the hard disk device 208, develops it in the RAM 207, and executes it to perform various processes. Further, these programs can cause the computer 200 to function as the acquisition unit 131, the classification unit 132, and the warning output unit 133 illustrated in FIG.
  • the above warning control program is not necessarily stored in the hard disk device 208.
  • the computer 200 may read and execute a program stored in a storage medium readable by the computer 200.
  • the storage medium readable by the computer 200 corresponds to, for example, a portable recording medium such as a CD-ROM, a DVD disk, a USB (Universal Serial Bus) memory, a semiconductor memory such as a flash memory, and a hard disk drive.
  • the warning control program may be stored in a device connected to a public line, the Internet, a LAN, or the like, and the computer 200 may read and execute the warning control program therefrom.

Abstract

L'invention concerne un programme et un procédé de commande d'avertissement, ainsi qu'un dispositif de traitement d'informations, permettant de réduire le risque d'accident sur un site à haut risque. Le programme de commande d'avertissement amène un ordinateur (200) à exécuter : un processus de classification des conducteurs selon des attributs basés sur les habitudes de conduite à partir des historiques de déplacement des conducteurs ; et sur la base d'un attribut par rapport auquel un conducteur est classé et d'informations de position relatives à un véhicule conduit par le conducteur, un processus d'émission d'un avertissement correspondant à l'attribut lorsque la position du véhicule se rapproche d'un site à haut risque.
PCT/JP2016/073008 2016-08-04 2016-08-04 Programme et procédé de commande d'avertissement et dispositif de traitement d'informations WO2018025386A1 (fr)

Priority Applications (2)

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PCT/JP2016/073008 WO2018025386A1 (fr) 2016-08-04 2016-08-04 Programme et procédé de commande d'avertissement et dispositif de traitement d'informations
JP2018531698A JP6669259B2 (ja) 2016-08-04 2016-08-04 警告制御プログラム、警告制御方法および情報処理装置

Applications Claiming Priority (1)

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PCT/JP2016/073008 WO2018025386A1 (fr) 2016-08-04 2016-08-04 Programme et procédé de commande d'avertissement et dispositif de traitement d'informations

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WO2018025386A1 true WO2018025386A1 (fr) 2018-02-08

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114582132A (zh) * 2022-05-05 2022-06-03 四川九通智路科技有限公司 一种基于机器视觉的车辆碰撞检测预警系统及方法

Citations (3)

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Publication number Priority date Publication date Assignee Title
JP2005056372A (ja) * 2003-03-26 2005-03-03 Fujitsu Ten Ltd 車両制御装置、車両制御方法および車両制御プログラム
JP2007323598A (ja) * 2006-06-05 2007-12-13 Denso Corp 車両用運転支援システム
JP2008276327A (ja) * 2007-04-25 2008-11-13 Denso Corp 車両用警報装置

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005056372A (ja) * 2003-03-26 2005-03-03 Fujitsu Ten Ltd 車両制御装置、車両制御方法および車両制御プログラム
JP2007323598A (ja) * 2006-06-05 2007-12-13 Denso Corp 車両用運転支援システム
JP2008276327A (ja) * 2007-04-25 2008-11-13 Denso Corp 車両用警報装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114582132A (zh) * 2022-05-05 2022-06-03 四川九通智路科技有限公司 一种基于机器视觉的车辆碰撞检测预警系统及方法

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JP6669259B2 (ja) 2020-03-18

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