WO2018025386A1 - Warning control program, warning control method, and information processing device - Google Patents

Warning control program, warning control method, and information processing device 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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French (fr)
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/en
Priority to JP2018531698A priority patent/JP6669259B2/en
Publication of WO2018025386A1 publication Critical patent/WO2018025386A1/en

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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

Provided are a warning control program, a warning control method, and an information processing device by which the risk of accidents can be reduced at a high-risk location. The warning control program causes a computer (200) to execute a process for classifying drivers into driving habit-based attributes on the basis of traveling histories of the drivers. The warning control program causes the computer to execute a process for outputting, on the basis of an attribute to which a driver is classified and of positional information about a vehicle which the driver drives, a warning corresponding to the attribute when the position of the vehicle approaches a high-risk location.

Description

警告制御プログラム、警告制御方法および情報処理装置Warning control program, warning control method, and information processing apparatus
　本発明は、警告制御プログラム、警告制御方法および情報処理装置に関する。 The present invention relates to a warning control program, a warning control method, and an information processing apparatus.
　近年、通信機能を有する運行記録計（以下、デジタルタコグラフともいう。）を搭載した車両から運行情報を収集し、運行情報を分析することが行われている。また、運行情報を分析することで、事故の発生件数が多い高リスク地点を抽出し、車両が高リスク地点に差し掛かると、ドライバーに対して警告を発することが提案されている。 In recent years, 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.
特開２０１１－１０７９７８号公報JP 2011-107978 A
　しかしながら、例えば、高リスク地点をよく走行するドライバーは、いつも警告が発せられるので、警告に対する注意が散漫になる場合がある。このため、例えば、走行したことのない不慣れな道路における高リスク地点であっても、ドライバーが警告を気にせず、警告の効果が低下する場合がある。 However, for example, a driver who often travels at a high-risk point is always warned, so attention to the warning may be distracted. For this reason, for example, even if it is a high-risk point on an unfamiliar road that has never traveled, the driver may not care about the warning, and the effect of the warning may be reduced.
　一つの側面では、本発明は、高リスク地点での事故リスクを低減できる警告制御プログラム、警告制御方法および情報処理装置を提供することにある。 In one aspect, 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.
　一つの態様では、警告制御プログラムは、ドライバーの走行履歴に基づいて、前記ドライバーを運転習慣に基づく属性に分類する処理をコンピュータに実行させる。警告制御プログラムは、分類した前記属性と、前記ドライバーが運転する車両の位置情報とに基づいて、前記車両の位置が高リスク地点に接近する場合に、前記属性に応じた警告を出力する処理をコンピュータに実行させる。 In one aspect, 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.
　高リスク地点での事故リスクを低減できる。 ∙ Accident risk at high risk points can be reduced.
図１は、実施例の警告制御システムの構成の一例を示すブロック図である。FIG. 1 is a block diagram illustrating an example of the configuration of the warning control system according to the embodiment. 図２は、走行履歴データベースの一例を示す図である。FIG. 2 is a diagram illustrating an example of a travel history database. 図３は、ドライバー属性記憶部の一例を示す図である。FIG. 3 is a diagram illustrating an example of the driver attribute storage unit. 図４は、高リスク地点記憶部の一例を示す図である。FIG. 4 is a diagram illustrating an example of the high risk point storage unit. 図５は、高リスク地点の一例を示す図である。FIG. 5 is a diagram illustrating an example of a high risk point. 図６は、実施例の分類処理の一例を示すフローチャートである。FIG. 6 is a flowchart illustrating an example of the classification process according to the embodiment. 図７は、実施例の警告制御処理の一例を示すフローチャートである。FIG. 7 is a flowchart illustrating an example of the warning control process according to the embodiment. 図８は、警告制御プログラムを実行するコンピュータの一例を示す図である。FIG. 8 is a diagram illustrating an example of a computer that executes a warning control program.
　以下、図面に基づいて、本願の開示する警告制御プログラム、警告制御方法および情報処理装置の実施例を詳細に説明する。なお、本実施例により、開示技術が限定されるものではない。また、以下の実施例は、矛盾しない範囲で適宜組みあわせてもよい。 Hereinafter, embodiments of a warning control program, a warning control method, and an information processing apparatus disclosed in the present application will be described in detail based on the drawings. The disclosed technology is not limited by the present embodiment. Further, the following embodiments may be appropriately combined within a consistent range.
　図１は、実施例の警告制御システムの構成の一例を示すブロック図である。図１に示す警告制御システム１は、端末装置１０と、情報処理装置１００とを有する。なお、図１には、システムが１つの端末装置１０および情報処理装置１００を有する場合を示したが、端末装置１０および情報処理装置１００の数は限定されず、警告制御システム１は、任意の数の端末装置１０および情報処理装置１００を有してもよい。 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. Although 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.
　端末装置１０および情報処理装置１００の間は、ネットワークＮを介して相互に通信可能に接続される。かかるネットワークＮには、有線または無線を問わず、インターネットを始め、ＬＡＮ（Local　Area　Network）やＶＰＮ（Virtual　Private　Network）などの任意の種類の通信網を採用できる。 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. As such 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.
　警告制御システム１は、例えば、車両に搭載される端末装置１０から送信される運行情報を情報処理装置１００で収集し、運行情報をドライバーおよび車両と対応付けて走行履歴データベース（以下、走行履歴ＤＢという。）に記憶する。なお、端末装置１０の一例としては、通信機能を有するデジタルタコグラフ（デジタコ）が挙げられる。すなわち、端末装置１０は、例えば、車両の運行中に所定の時間間隔で、車両の位置情報とドライバーＩＤ（IDentifier）とを含む運行情報を、情報処理装置１００に対して送信する。また、情報処理装置１００は、端末装置１０から受信した車両の位置情報とドライバーＩＤとを含む運行情報を、走行履歴として走行履歴ＤＢに記憶する。 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). To remember.) 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.
　情報処理装置１００は、走行履歴ＤＢを参照し、ドライバーの走行履歴に基づいて、ドライバーを運転習慣に基づく属性に分類する。情報処理装置１００は、分類した属性と、ドライバーが運転する車両の位置情報とに基づいて、車両の位置が高リスク地点に接近する場合に、属性に応じた警告を出力する。これにより、情報処理装置１００は、高リスク地点での事故リスクを低減できる。 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.
　次に、端末装置１０の構成について説明する。図１に示すように、端末装置１０は、通信部１１と、制御部１２と、表示部１３と、操作部１４とを有する。なお、端末装置１０は、図１に示す機能部以外にも、例えば各種の入力デバイスや音声出力デバイス等の機能部を有することとしてもかまわない。 Next, the configuration of the terminal device 10 will be described. As illustrated in FIG. 1, 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.
　通信部１１は、例えば、第３世代移動通信システム、ＬＴＥ（Long　Term　Evolution）等の携帯電話回線および無線ＬＡＮ等の通信モジュール等によって実現される。通信部１１は、ネットワークＮを介して情報処理装置１００と無線で接続され、情報処理装置１００との間で情報の通信を司る通信インタフェースである。なお、端末装置１０と情報処理装置１００との間は、携帯電話回線等の無線基地局を介して情報処理装置１００と接続される場合、無線基地局と情報処理装置１００との間については、無線または有線で接続される。通信部１１は、制御部１２から入力された車両の位置情報とドライバーＩＤとを含む運行情報を情報処理装置１００に送信する。また、通信部１１は、情報処理装置１００から警告情報を受信する。通信部１１は、受信した警告情報を制御部１２に出力する。 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. When 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.
　制御部１２は、例えば、ＣＰＵ（Central　Processing　Unit）やＭＰＵ（Micro　Processing　Unit）等によって、内部の記憶装置に記憶されているプログラムがＲＡＭ（Random　Access　Memory）を作業領域として実行されることにより実現される。また、制御部１２は、例えば、ＡＳＩＣ（Application　Specific　Integrated　Circuit）やＦＰＧＡ（Field　Programmable　Gate　Array）等の集積回路により実現されるようにしてもよい。 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).
　制御部１２は、例えば、ＧＰＳ（Global　Positioning　System）等の衛星測位システムによって取得した車両の位置情報や速度等とドライバーＩＤとを含む運行情報を、例えば１秒ごとに、ネットワークＮを介して情報処理装置１００に送信する。なお、制御部１２は、携帯電話回線等が圏外である等の場合には、通信が接続されてから圏外であった時間の運行情報を纏めて送信してもよい。 For example, the 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. In addition, when the mobile phone line or the like is out of the service area, the control unit 12 may collectively transmit operation information for a time that has been out of service area after the communication is connected.
　また、制御部１２は、車両が高リスク地点に接近すると、ネットワークＮおよび通信部１１を介して、情報処理装置１００から警告情報を受信する。制御部１２は、警告情報を受信すると、警告情報を表示部１３に表示する。また、制御部１２は、警告の音声を図示しないスピーカに出力する。 Also, when the vehicle approaches a high risk point, the control unit 12 receives warning information from the information processing apparatus 100 via the network N and the communication unit 11. When receiving the warning information, 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).
　表示部１３は、各種情報を表示するための表示デバイスである。表示部１３は、例えば、表示デバイスとして液晶ディスプレイ等によって実現される。表示部１３は、制御部１２から入力された表示画面等の各種画面を表示する。 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.
　操作部１４は、端末装置１０のユーザであるドライバーから各種操作を受け付ける入力デバイスである。操作部１４は、例えば、入力デバイスとして、タッチパネル等によって実現される。この場合、操作部１４の入力デバイスは、表示部１３の表示デバイスの一例である液晶ディスプレイと一体化されるようにしてもよい。操作部１４は、ドライバーによって入力された操作を操作情報として制御部１２に出力する。なお、操作部１４は、スイッチやリモートコントローラ等の他の入力デバイスによって実現されるようにしてもよい。 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. In this case, 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. Note that the operation unit 14 may be realized by another input device such as a switch or a remote controller.
　続いて、情報処理装置１００の構成について説明する。図１に示すように、情報処理装置１００は、通信部１１０と、表示部１１１と、操作部１１２と、記憶部１２０と、制御部１３０とを有する。なお、情報処理装置１００は、図１に示す機能部以外にも、例えば各種の入力デバイスや音声出力デバイス等の機能部を有することとしてもかまわない。 Subsequently, the configuration of the information processing apparatus 100 will be described. As illustrated in FIG. 1, 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. Note that 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.
　通信部１１０は、例えば、第３世代移動通信システム、ＬＴＥ等の携帯電話回線および無線ＬＡＮ等の通信モジュール等によって実現される。また、通信部１１０は、携帯電話回線等の無線基地局を介して端末装置１０と通信する場合には、例えば、ＮＩＣ（Network　Interface　Card）等によって実現される。通信部１１０は、ネットワークＮを介して端末装置１０と無線または有線で接続され、端末装置１０との間で情報の通信を司る通信インタフェースである。通信部１１０は、端末装置１０から運行情報を受信する。通信部１１０は、受信した運行情報を制御部１３０に出力する。また、通信部１１０は、制御部１３０から入力された警告情報を端末装置１０に送信する。 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.
　表示部１１１は、各種情報を表示するための表示デバイスである。表示部１１１は、例えば、表示デバイスとして液晶ディスプレイ等によって実現される。表示部１１１は、制御部１３０から入力された表示画面等の各種画面を表示する。 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.
　操作部１１２は、情報処理装置１００の管理者から各種操作を受け付ける入力デバイスである。操作部１１２は、例えば、入力デバイスとして、キーボードやマウス等によって実現される。操作部１１２は、管理者によって入力された操作を操作情報として制御部１３０に出力する。なお、操作部１１２は、入力デバイスとして、タッチパネル等によって実現されるようにしてもよく、表示部１１１の表示デバイスと、操作部１１２の入力デバイスとは、一体化されるようにしてもよい。 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. Note that 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.
　記憶部１２０は、例えば、ＲＡＭ、フラッシュメモリ（Flash　Memory）等の半導体メモリ素子、ハードディスクや光ディスク等の記憶装置によって実現される。記憶部１２０は、走行履歴ＤＢ１２１と、ドライバー属性記憶部１２２と、高リスク地点記憶部１２３とを有する。また、記憶部１２０は、制御部１３０での処理に用いる情報を記憶する。 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. In addition, the storage unit 120 stores information used for processing in the control unit 130.
　走行履歴ＤＢ１２１は、端末装置１０から取得した運行情報、すなわち走行履歴を記憶するデータベースである。図２は、走行履歴データベースの一例を示す図である。図２に示すように、走行履歴ＤＢ１２１は、「ドライバーＩＤ」、「車両ＩＤ」、「日時」、「緯度」、「経度」、「速度」、「Ｇ値（前後）」、「Ｇ値（横）」、「Ｇ値（上下）」といった項目を有する。走行履歴ＤＢ１２１は、１つの運行情報ごとに１レコードとして記憶する。走行履歴ＤＢ１２１は、例えば、１秒ごとの運行情報の場合には、１秒ごとの運行情報を１レコードとして記憶する。 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. As shown in FIG. 2, 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.
　「ドライバーＩＤ」は、ドライバーを識別する識別子である。「車両ＩＤ」は、車両を識別する識別子である。「日時」は、端末装置１０によって運行情報が取得された日時を示す情報である。「緯度」および「経度」は、端末装置１０が搭載される車両の位置を示す情報である。「速度」は、端末装置１０が搭載される車両の速度を示す情報である。「Ｇ値（前後）」、「Ｇ値（横）」および「Ｇ値（上下）」は、端末装置１０が搭載される車両にかかる、それぞれの方向の加速度を示す情報である。すなわち、走行履歴ＤＢ１２１に記憶される走行履歴は、ドライバーが高リスク地点を車両で走行した経験があるか否か、および、高リスク地点において車両の速度を減速する習慣があるか否かの情報を含むものである。 “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.
　図１の説明に戻って、ドライバー属性記憶部１２２は、各ドライバーについて、走行履歴に基づいて分類した運転習慣に基づく属性を記憶する。図３は、ドライバー属性記憶部の一例を示す図である。図３に示すように、ドライバー属性記憶部１２２は、「ドライバーＩＤ」、「属性」といった項目を有する。ドライバー属性記憶部１２２は、ドライバーごとに１レコードとして記憶する。 Returning to the description of FIG. 1, 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.
　「ドライバーＩＤ」は、ドライバーを識別する識別子である。「属性」は、ドライバーの運転習慣に基づく属性を示す情報であり、例えば、第１の属性、第２の属性および第３の属性の３つとすることができる。第１の属性は、高リスク地点におけるドライバーの慣熟度に関わらず、高リスク地点に減速せずに進入する習慣があるドライバーを示す属性である。なお、ドライバーの慣熟度は、例えば、当該高リスク地点を何回走行したかを示す情報に基づいて、例えば５段階で評価することができる。ドライバーの慣熟度は、例えば、走行回数０回を「１」、１回から１０回未満を「２」、１０回から２０回未満を「３」、２０回から５０回未満を「４」、５０回以上を「５」とすることができる。 “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”.
　第２の属性は、ドライバーの慣熟度が所定値以上である高リスク地点では、警告の出力前に減速を開始するが、慣熟度が所定値未満である高リスク地点では、減速せずに進入する習慣があるドライバーを示す属性である。ここで、ドライバーの慣熟度の所定値は、例えば、「３」とすることができる。 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. Here, the predetermined value of the driver's familiarity may be, for example, “3”.
　第３の属性は、ドライバーの慣熟度が所定値未満である高リスク地点において、所定の回数以上、警告の出力前に減速を開始した実績があるドライバーを示す属性である。ここで、ドライバーの慣熟度の所定値は、第２の属性と同様に、例えば、「３」とすることができる。また、警告の出力前に減速を開始した所定の回数は、任意の回数とすることができ、例えば、５回とすることができる。 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. Here, the predetermined value of the driver's familiarity can be set to “3”, for example, similarly to the second attribute. Further, the predetermined number of times of starting deceleration before outputting the warning can be an arbitrary number, for example, five times.
　図１の説明に戻って、高リスク地点記憶部１２３は、事故の発生件数が多い高リスク地点の位置情報と、当該高リスク地点における各ドライバーの慣熟度とを対応付けて記憶する。図４は、高リスク地点記憶部の一例を示す図である。図４に示すように、高リスク地点記憶部１２３は、「地点ＩＤ」、「緯度」、「経度」、「特別高リスク」、「ドライバーの慣熟度」といった項目を有する。また、「ドライバーの慣熟度」は、各ドライバーＩＤを項目として有する。 Returning to the description of FIG. 1, 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.
　「地点ＩＤ」は、高リスク地点を識別する識別子である。「緯度」および「経度」は、高リスク地点の位置を示す情報である。「特別高リスク」は、第３の属性に分類される各ドライバーの走行履歴で急減速の件数が所定の件数以上発生している特別高リスク地点であることを示す情報である。なお、所定の件数は、例えば１０件とすることができる。「特別高リスク」は、例えば、特別高リスク地点である場合には丸印が付けられる。なお、「地点ＩＤ」、「緯度」、「経度」および「特別高リスク」の各項目は、例えば、予め情報処理装置１００の管理者によって入力され、高リスク地点記憶部１２３に記憶される。「ドライバーの慣熟度」は、ドライバーごとの当該高リスク地点における慣熟度を示す情報である。なお、ドライバーの慣熟度は、例えば、ドライバー属性記憶部１２２と同様の５段階評価を用いることができる。 “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. Note that 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.
　図４の１行目の例では、地点ＩＤ「Ｐ００１」の高リスク地点は、ドライバーＩＤ「Ｄ００１」のドライバーは、慣熟度「１」であり、一度も走行したことがないことを示す。また、ドライバーＩＤ「Ｄ００２」のドライバーは、慣熟度「３」であり、１０回から２０回未満走行したことがあることを示す。ドライバーＩＤ「Ｄ００３」のドライバーは、慣熟度「４」であり、２０回から５０回未満走行したことがあることを示す。ドライバーＩＤ「Ｄ００３」のドライバーは、慣熟度「４」であり、２０回から５０回未満走行したことがあることを示す。ドライバーＩＤ「Ｄ００４」のドライバーは、慣熟度「５」であり、５０回以上走行したことがあることを示す。 In the example of the first line in FIG. 4, 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.
　図１の説明に戻って、制御部１３０は、例えば、ＣＰＵやＭＰＵ等によって、内部の記憶装置に記憶されているプログラムがＲＡＭを作業領域として実行されることにより実現される。また、制御部１３０は、例えば、ＡＳＩＣやＦＰＧＡ等の集積回路により実現されるようにしてもよい。制御部１３０は、取得部１３１と、分類部１３２と、警告出力部１３３とを有し、以下に説明する情報処理の機能や作用を実現または実行する。なお、制御部１３０の内部構成は、図１に示した構成に限られず、後述する情報処理を行う構成であれば他の構成であってもよい。 Returning to the description of FIG. 1, the 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. Note that 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.
　取得部１３１は、ネットワークＮおよび通信部１１０を介して、端末装置１０から運行情報を受信すると、受信した運行情報を走行履歴ＤＢ１２１に記憶する。また、取得部１３１は、受信した運行情報から車両の位置情報とドライバーＩＤとを抽出する。すなわち、取得部１３１は、車両の位置情報とドライバーＩＤとの取得を開始する。取得部１３１は、取得した車両の位置情報とドライバーＩＤとを警告出力部１３３に出力する。なお、取得部１３１は、例えば、端末装置１０から１秒間隔で運行情報が送られてくると、１秒間隔で抽出した車両の位置情報とドライバーＩＤとを警告出力部１３３に出力する。 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.
　分類部１３２は、走行履歴ＤＢ１２１から各ドライバーの走行履歴を取得する。分類部１３２は、取得した走行履歴に基づいて、分類対象の各ドライバーについて、高リスク地点ごとにドライバーの慣熟度を算出する。分類部１３２は、例えば、上述したように、ドライバーの慣熟度を各高リスク地点の走行回数に基づいて、例えば５段階で評価することができる。分類部１３２は、算出したドライバーの慣熟度を、地点ＩＤと対応付けて高リスク地点記憶部１２３に記憶する。 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.
　次に、分類部１３２は、走行履歴ＤＢ１２１および高リスク地点記憶部１２３を参照し、分類対象のドライバーの高リスク地点における運転習慣に基づいて、各ドライバーを第１の属性、第２の属性および第３の属性のうちのいずれかに分類する。分類部１３２は、分類した属性を、ドライバーＩＤと対応付けてドライバー属性記憶部１２２に記憶する。 Next, 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.
　分類部１３２は、例えば、高リスク地点におけるドライバーの慣熟度に関わらず、高リスク地点に減速せずに進入する習慣があるドライバーを第１の属性に分類する。また、分類部１３２は、例えば、ドライバーの慣熟度が所定値以上である高リスク地点では、警告の出力前に減速を開始するが、慣熟度が所定値未満である高リスク地点では、減速せずに進入する習慣があるドライバーを第２の属性に分類する。さらに、分類部１３２は、例えば、ドライバーの慣熟度が所定値未満である高リスク地点において、所定の回数以上、警告の出力前に減速を開始した実績があるドライバーを第３の属性に分類する。なお、所定値は、例えば「３」とすることができる。また、所定の回数は、例えば５回とすることができる。 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. Further, 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. Further, the predetermined number of times can be set to 5 times, for example.
　警告出力部１３３は、取得部１３１から車両の位置情報とドライバーＩＤとが入力されると、高リスク地点記憶部１２３を参照し、車両の位置情報に基づいて、車両が高リスク地点に接近中であるか否かを判定する。警告出力部１３３は、車両が高リスク地点に接近中でない場合には、引き続き車両の位置情報を監視する。警告出力部１３３は、車両が高リスク地点に接近中である場合には、車両の位置情報に基づいて、接近中の高リスク地点の走行経験があるか否かを判定する。ここで、走行経験は、例えば、当該高リスク地点におけるドライバーの慣熟度が「３」以上である場合に、走行経験があるものとする。 When the vehicle position information and the driver ID are input from the acquisition unit 131, 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. When the vehicle is 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. Here, it is assumed that the traveling experience has traveling experience when, for example, the driver's familiarity at the high risk point is “3” or more.
　警告出力部１３３は、接近中の高リスク地点の走行経験がある場合には、ドライバーＩＤに基づいてドライバー属性記憶部１２２を参照し、ドライバーが第１の属性であるか否かを判定する。警告出力部１３３は、ドライバーが第１の属性である場合には、警告を出力する。すなわち、警告出力部１３３は、通信部１１０およびネットワークＮを介して、当該ドライバーの車両に搭載されている端末装置１０に対して、警告情報を送信する。警告出力部１３３は、ドライバーが第１の属性でない場合には、警告を出力しない。 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.
　警告出力部１３３は、接近中の高リスク地点の走行経験があるか否かの判定において、接近中の高リスク地点の走行経験がない場合には、ドライバーが第１の属性または第２の属性であるか否かを判定する。警告出力部１３３は、ドライバーが第１の属性または第２の属性である場合には、通信部１１０およびネットワークＮを介して、当該ドライバーの車両に搭載されている端末装置１０に対して、警告情報を送信する。警告出力部１３３は、ドライバーが第１の属性または第２の属性でない場合には、接近中の高リスク地点が特別高リスク地点であるか否かを判定する。 When the warning output unit 133 determines whether or not there is traveling experience at a high-risk point that is approaching, the warning output unit 133 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. When the driver has the first attribute or the second attribute, 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. When the driver is not the first attribute or the second attribute, the warning output unit 133 determines whether or not the approaching high risk point is a special high risk point.
　警告出力部１３３は、接近中の高リスク地点が特別高リスク地点である場合には、通信部１１０およびネットワークＮを介して、当該ドライバーの車両に搭載されている端末装置１０に対して、警告情報を送信する。警告出力部１３３は、接近中の高リスク地点が特別高リスク地点でない場合には、警告を出力しない。なお、警告出力部１３３は、端末装置１０が搭載された車両が運転を終了するまで、車両の位置情報を監視する。 When 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.
　また、警告出力部１３３は、車両が高リスク地点に接近中であるとき、当該高リスク地点の近傍、例えば、交差する道路に他の車両がいる場合に、ドライバーの属性に関わらず警告を出力、つまり、警告情報を端末装置１０に送信するようにしてもよい。なお、他の車両の有無は、例えば、交差点に設けられた車両感知器等によって検知された情報を、交通情報を管理するシステム等から取得することで判定できる。また、他の車両の有無は、例えば、車両に搭載したミリ波レーダー等を用いて検知するようにしてもよい。 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.
　ここで、図５を用いて高リスク地点について説明する。図５は、高リスク地点の一例を示す図である。図５に示すように、道路２１と道路２２との交差点２３は、道路２２から出てくる車両が樹木２４の影に隠れてしまう事故が起こりやすい交差点、つまり高リスク地点の一例である。図５の例では、高リスク地点である交差点２３に対して、図５中右側から車両が進んでくると、例えば警告地点２５を超えて減速されない場合に、情報処理装置１００は、端末装置１０に対して警告情報を送信する。 Here, the high risk point will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of a high risk point. As shown in FIG. 5, 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. In the example of FIG. 5, when the vehicle travels from the right side in FIG. 5 to the intersection 23 that is 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.
　例えば、第１の属性、または、交差点２３の走行経験がない第２の属性のドライバーは、進路２６に従って進み、警告地点２５を超えて、地点２７で減速を開始する。この場合、交差点２３に進入する際に、十分に減速されていない可能性がある。このため、第１の属性、または、交差点２３の走行経験がない第２の属性のドライバーに対しては、警告地点２５の時点で情報処理装置１００から端末装置１０に対して警告情報を送信する。 For example, a driver having the first attribute or the second attribute who has no experience of traveling at the intersection 23 proceeds according to the course 26, exceeds the warning point 25, and starts decelerating at the point 27. In this case, when entering the intersection 23, there is a possibility that the vehicle has not been sufficiently decelerated. For this reason, 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. .
　これに対し、交差点２３の走行経験がある第２の属性、または、第３の属性のドライバーは、進路２８に従って進み、警告地点２５の手前の地点２９で減速を開始する。この場合、交差点２３に進入する際に、十分に減速するドライバーであると判定するので、情報処理装置１００は、端末装置１０に対して警告情報を送信しない。なお、進路２６と進路２８とは、説明のために並行して記載しているが、実際には、同一の車線を車両が走行しているものとする。 On the other hand, 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. In this case, 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. In addition, although 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.
　次に、実施例の警告制御システム１の動作について説明する。まず、走行履歴に基づいてドライバーを分類する分類処理について説明する。図６は、実施例の分類処理の一例を示すフローチャートである。 Next, the operation of the warning control system 1 of the embodiment will be described. First, a classification process for classifying drivers based on the travel history will be described. FIG. 6 is a flowchart illustrating an example of the classification process according to the embodiment.
　情報処理装置１００の分類部１３２は、走行履歴ＤＢ１２１から各ドライバーの走行履歴を取得する（ステップＳ１）。分類部１３２は、取得した走行履歴に基づいて、分類対象の各ドライバーについて、高リスク地点ごとにドライバーの慣熟度を算出する（ステップＳ２）。分類部１３２は、算出したドライバーの慣熟度を、地点ＩＤと対応付けて高リスク地点記憶部１２３に記憶する。 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.
　分類部１３２は、走行履歴ＤＢ１２１および高リスク地点記憶部１２３を参照し、各ドライバーを運転習慣に基づく属性に分類する（ステップＳ３）。分類部１３２は、分類した属性を、ドライバーＩＤと対応付けてドライバー属性記憶部１２２に記憶する。これにより、情報処理装置１００は、高リスク地点ごとの各ドライバーの慣熟度を算出し、各ドライバーを運転習慣に基づく属性に分類できる。 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.
　次に、車両の位置情報に基づいて警告を出力する警告制御処理について説明する。図７は、実施例の警告制御処理の一例を示すフローチャートである。 Next, warning control processing for outputting a warning based on vehicle position information will be described. FIG. 7 is a flowchart illustrating an example of the warning control process according to the embodiment.
　情報処理装置１００の取得部１３１は、端末装置１０から車両の運行情報を受信し、当該車両の位置情報とドライバーＩＤとの取得を開始する（ステップＳ１１）。取得部１３１は、取得した車両の位置情報とドライバーＩＤとを警告出力部１３３に出力する。 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.
　警告出力部１３３は、取得部１３１から車両の位置情報とドライバーＩＤとが入力されると、車両の位置情報に基づいて、車両が高リスク地点に接近中であるか否かを判定する（ステップＳ１２）。警告出力部１３３は、車両が高リスク地点に接近中でない場合には（ステップＳ１２：否定）、ステップＳ１８に進む。警告出力部１３３は、車両が高リスク地点に接近中である場合には（ステップＳ１２：肯定）、車両の位置情報に基づいて、接近中の高リスク地点の走行経験があるか否かを判定する（ステップＳ１３）。 When the vehicle position information and the driver ID are input from the acquisition unit 131, 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).
　警告出力部１３３は、接近中の高リスク地点の走行経験がある場合には（ステップＳ１３：肯定）、ドライバーＩＤに基づいて、ドライバーが第１の属性であるか否かを判定する（ステップＳ１４）。警告出力部１３３は、ドライバーが第１の属性である場合には（ステップＳ１４：肯定）、当該ドライバーの車両に搭載されている端末装置１０に対して、警告情報を送信し（ステップＳ１５）、ステップＳ１８に進む。警告出力部１３３は、ドライバーが第１の属性でない場合には（ステップＳ１４：否定）、警告情報を送信せず、ステップＳ１８に進む。 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.
　警告出力部１３３は、接近中の高リスク地点の走行経験があるか否かの判定において、接近中の高リスク地点の走行経験がない場合には（ステップＳ１３：否定）、ドライバーが第１の属性または第２の属性であるか否かを判定する（ステップＳ１６）。警告出力部１３３は、ドライバーが第１の属性または第２の属性である場合には（ステップＳ１６：肯定）、当該ドライバーの車両に搭載されている端末装置１０に対して、警告情報を送信し（ステップＳ１５）、ステップＳ１８に進む。 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.
　警告出力部１３３は、ドライバーが第１の属性または第２の属性でない場合には（ステップＳ１６：否定）、接近中の高リスク地点が特別高リスク地点であるか否かを判定する（ステップＳ１７）。警告出力部１３３は、接近中の高リスク地点が特別高リスク地点である場合には（ステップＳ１７：肯定）、当該ドライバーの車両に搭載されている端末装置１０に対して、警告情報を送信し（ステップＳ１５）、ステップＳ１８に進む。警告出力部１３３は、接近中の高リスク地点が特別高リスク地点でない場合には（ステップＳ１７：否定）、警告情報を送信せず、ステップＳ１８に進む。 When the driver is not the first attribute or the second attribute (No at Step S16), 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.
　警告出力部１３３は、車両の位置情報に基づいて、運転終了か否かを判定する（ステップＳ１８）。警告出力部１３３は、運転終了でない場合には（ステップＳ１８：否定）、ステップＳ１２に戻る。警告出力部１３３は、運転終了である場合には（ステップＳ１８：肯定）、警告制御処理を終了する。これにより、情報処理装置１００は、ドライバーの属性に応じてより効果的なリスク告知ができるので、高リスク地点での事故リスクを低減できる。 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 | operation completion | finish (step S18: No). The warning output part 133 complete | finishes a warning control process, when it is driving | operation completion (step S18: Yes). Thereby, since the information processing apparatus 100 can perform more effective risk notification according to the attribute of the driver, it is possible to reduce the accident risk at the high risk point.
　このように、情報処理装置１００は、ドライバーの走行履歴に基づいて、ドライバーを運転習慣に基づく属性に分類する。また、情報処理装置１００は、分類した属性と、ドライバーが運転する車両の位置情報とに基づいて、車両の位置が高リスク地点に接近する場合に、属性に応じた警告を出力する。その結果、高リスク地点での事故リスクを低減できる。 In this way, 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.
　また、情報処理装置１００は、属性が、高リスク地点におけるドライバーの慣熟度に関わらず、高リスク地点に減速せずに進入する習慣があるドライバーを示す第１の属性である場合には、高リスク地点において警告を出力する。その結果、高リスク地点に減速せずに進入する習慣があるドライバーの高リスク地点での事故リスクを低減できる。 Further, when 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.
　また、情報処理装置１００では、属性が、ドライバーの慣熟度が所定値以上である高リスク地点では、警告の出力前に減速を開始するが、慣熟度が所定値未満である高リスク地点では、減速せずに進入する習慣があるドライバーを示す第２の属性である場合がある。情報処理装置１００は、属性が、第２の属性である場合には、慣熟度が所定値以上である高リスク地点において警告を出力せず、慣熟度が所定値未満である高リスク地点において警告を出力する。その結果、慣れない道路の高リスク地点に減速せずに進入する習慣があるドライバーの高リスク地点での事故リスクを低減できる。 Further, in the information processing apparatus 100, 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. When the attribute is the second attribute, 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. As a result, it is possible to reduce the risk of an accident at a high risk point of a driver who has a habit of entering a high risk point on an unfamiliar road without decelerating.
　また、情報処理装置１００では、属性が、ドライバーの慣熟度が所定値未満である高リスク地点において、所定の回数以上、警告の出力前に減速を開始した実績があるドライバーを示す第３の属性である場合がある。情報処理装置１００は、属性が、第３の属性である場合には、第３の属性に分類される他のドライバーの走行履歴で急減速の件数が所定の件数以上発生している特別高リスク地点において警告を出力し、他の高リスク地点では警告を出力しない。その結果、慎重なドライバーの高リスク地点での事故リスクを低減できる。 In the information processing apparatus 100, 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. When 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.
　また、情報処理装置１００は、高リスク地点の近傍に他の車両がいる場合に、属性に関わらず警告を出力する。その結果、出会い頭の衝突のリスクを低減できる。 Also, 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.
　また、情報処理装置１００では、走行履歴は、ドライバーが高リスク地点を車両で走行した経験があるか否か、および、高リスク地点において車両の速度を減速する習慣があるか否かの情報を含む。その結果、走行履歴に基づいて、ドライバーの運転習慣に応じた警告を出力できる。 In the information processing apparatus 100, 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.
　なお、上記実施例では、情報処理装置１００において分類処理および警告制御処理を行ったが、これに限定されない。例えば、端末装置１０に走行履歴ＤＢ１２１、ドライバー属性記憶部１２２および高リスク地点記憶部１２３を設け、端末装置１０で該端末装置１０が搭載されている車両のドライバーに対して分類処理および警告制御処理を行ってもよい。 In the above embodiment, the information processing apparatus 100 performs the classification process and the warning control process. However, the present invention is not limited to this. For example, 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.
　また、上記実施例では、警告情報を受信した端末装置１０は、画面表示や音声にて警告を行ったが、これに限定されない。例えば、警告と併せて、警告の理由をドライバーに報知するようにしてもよい。 In the above embodiment, 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. For example, the reason for the warning may be notified to the driver together with the warning.
　また、上記実施例では、高リスク地点として、図５に示すような交差点を挙げたが、これに限定されない。例えば、見通しの悪い峠道等を高リスク地点としてもよいし、他の交通事故のリスクの高い地点を高リスク地点としてもよい。 In the above embodiment, the intersection as shown in FIG. 5 is given as the high risk point, but it is not limited to this. For example, a road with a low prospect may be set as a high risk point, and another point with a high risk of traffic accident may be set as a high risk point.
　また、図示した各部の各構成要素は、必ずしも物理的に図示の如く構成されていることを要しない。すなわち、各部の分散・統合の具体的形態は図示のものに限られず、その全部または一部を、各種の負荷や使用状況等に応じて、任意の単位で機能的または物理的に分散・統合して構成することができる。例えば、取得部１３１と警告出力部１３３とを統合してもよい。また、図示した各処理は、上記の順番に限定されるものではなく、処理内容を矛盾させない範囲において、同時に実施してもよく、順序を入れ替えて実施してもよい。 In addition, each component of each part illustrated does not necessarily need to be physically configured as illustrated. In other words, 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. For example, the acquisition unit 131 and the warning output unit 133 may be integrated. In addition, 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.
　さらに、各装置で行われる各種処理機能は、ＣＰＵ（又はＭＰＵ、ＭＣＵ（Micro　Controller　Unit）等のマイクロ・コンピュータ）上で、その全部または任意の一部を実行するようにしてもよい。また、各種処理機能は、ＣＰＵ（またはＭＰＵ、ＭＣＵ等のマイクロ・コンピュータ）で解析実行されるプログラム上、またはワイヤードロジックによるハードウェア上で、その全部または任意の一部を実行するようにしてもよいことは言うまでもない。 Furthermore, various 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)). In addition, 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.
　ところで、上記の実施例で説明した各種の処理は、予め用意されたプログラムをコンピュータで実行することで実現できる。そこで、以下では、上記の実施例と同様の機能を有するプログラムを実行するコンピュータの一例を説明する。図８は、警告制御プログラムを実行するコンピュータの一例を示す図である。 Incidentally, the various processes described in the above embodiments can be realized by executing a program prepared in advance on a computer. Therefore, in the following, an example of a computer that executes a program having the same function as in the above embodiment will be described. FIG. 8 is a diagram illustrating an example of a computer that executes a warning control program.
　図８に示すように、コンピュータ２００は、各種演算処理を実行するＣＰＵ２０１と、データ入力を受け付ける入力装置２０２と、モニタ２０３とを有する。また、コンピュータ２００は、記憶媒体からプログラム等を読み取る媒体読取装置２０４と、各種装置と接続するためのインタフェース装置２０５と、他の情報処理装置等と有線または無線により接続するための通信装置２０６とを有する。また、コンピュータ２００は、各種情報を一時記憶するＲＡＭ２０７と、ハードディスク装置２０８とを有する。また、各装置２０１～２０８は、バス２０９に接続される。 As illustrated in FIG. 8, 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.
　ハードディスク装置２０８には、図１に示した取得部１３１、分類部１３２および警告出力部１３３の各処理部と同様の機能を有する警告制御プログラムが記憶される。また、ハードディスク装置２０８には、走行履歴ＤＢ１２１、ドライバー属性記憶部１２２、高リスク地点記憶部１２３、および、警告制御プログラムを実現するための各種データが記憶される。入力装置２０２は、例えば、図１に示した操作部１１２と同様の機能を有し、コンピュータ２００の管理者から操作情報等の各種情報の入力を受け付ける。モニタ２０３は、例えば、コンピュータ２００の管理者に対して表示画面等の各種画面を表示する。インタフェース装置２０５は、例えば印刷装置等が接続される。通信装置２０６は、例えば、図１に示した通信部１１０と同様の機能を有し端末装置１０と接続され、端末装置１０と各種情報をやりとりする。 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. For example, 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.
　ＣＰＵ２０１は、ハードディスク装置２０８に記憶された各プログラムを読み出して、ＲＡＭ２０７に展開して実行することで、各種の処理を行う。また、これらのプログラムは、コンピュータ２００を図１に示した取得部１３１、分類部１３２および警告出力部１３３として機能させることができる。 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.
　なお、上記の警告制御プログラムは、必ずしもハードディスク装置２０８に記憶されている必要はない。例えば、コンピュータ２００が読み取り可能な記憶媒体に記憶されたプログラムを、コンピュータ２００が読み出して実行するようにしてもよい。コンピュータ２００が読み取り可能な記憶媒体は、例えば、ＣＤ－ＲＯＭやＤＶＤディスク、ＵＳＢ（Universal　Serial　Bus）メモリ等の可搬型記録媒体、フラッシュメモリ等の半導体メモリ、ハードディスクドライブ等が対応する。また、公衆回線、インターネット、ＬＡＮ等に接続された装置にこの警告制御プログラムを記憶させておき、コンピュータ２００がこれらから警告制御プログラムを読み出して実行するようにしてもよい。 Note that the above warning control program is not necessarily stored in the hard disk device 208. For example, 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. Alternatively, 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.
　１　警告制御システム
　１０　端末装置
　１１　通信部
　１２　制御部
　１３　表示部
　１４　操作部
　１００　情報処理装置
　１１０　通信部
　１１１　表示部
　１１２　操作部
　１２０　記憶部
　１２１　走行履歴ＤＢ
　１２２　ドライバー属性記憶部
　１２３　高リスク地点記憶部
　１３０　制御部
　１３１　取得部
　１３２　分類部
　１３３　警告出力部
　Ｎ　ネットワーク DESCRIPTION OF SYMBOLS 1 Warning control system 10 Terminal device 11 Communication part 12 Control part 13 Display part 14 Operation part 100 Information processing apparatus 110 Communication part 111 Display part 112 Operation part 120 Storage part 121 Traveling history DB
122 Driver attribute storage unit 123 High risk point storage unit 130 Control unit 131 Acquisition unit 132 Classification unit 133 Warning output unit N Network

Claims (8)

  1. 　ドライバーの走行履歴に基づいて、前記ドライバーを運転習慣に基づく属性に分類し、
    　分類した前記属性と、前記ドライバーが運転する車両の位置情報とに基づいて、前記車両の位置が高リスク地点に接近する場合に、前記属性に応じた警告を出力する、
    　処理をコンピュータに実行させることを特徴とする警告制御プログラム。     Based on the driving history of the driver, classify the driver into attributes based on driving habits,
    Based on the classified attribute and the position information of the vehicle driven by the driver, when the position of the vehicle approaches a high risk point, a warning corresponding to the attribute is output.
    A warning control program for causing a computer to execute processing.
  2. 　前記出力する処理は、前記属性が、前記高リスク地点における前記ドライバーの慣熟度に関わらず、前記高リスク地点に減速せずに進入する習慣がある前記ドライバーを示す第１の属性である場合には、高リスク地点において前記警告を出力する、
    　ことを特徴とする請求項１に記載の警告制御プログラム。     The output process is performed when the attribute is a first attribute indicating the driver who has a habit of entering the high risk point without decelerating regardless of the skill level of the driver at the high risk point. Outputs the warning at high risk points,
    The warning control program according to claim 1, wherein:
  3. 　前記出力する処理は、前記属性が、前記ドライバーの慣熟度が所定値以上である前記高リスク地点では、前記警告の出力前に減速を開始するが、前記慣熟度が前記所定値未満である前記高リスク地点では、減速せずに進入する習慣がある前記ドライバーを示す第２の属性である場合には、前記慣熟度が前記所定値以上である前記高リスク地点において前記警告を出力せず、前記慣熟度が前記所定値未満である前記高リスク地点において前記警告を出力する、
    　ことを特徴とする請求項１に記載の警告制御プログラム。     In the output process, the attribute starts deceleration before outputting the warning at the high risk point where the driver's familiarity is a predetermined value or more, but the familiarity is less than the predetermined value. In the high risk point, if it is the second attribute indicating the driver who has a habit of entering without decelerating, the warning is not output at the high risk point where the familiarity is equal to or greater than the predetermined value, Outputting the warning at the high risk point where the familiarity is less than the predetermined value;
    The warning control program according to claim 1, wherein:
  4. 　前記出力する処理は、前記属性が、前記ドライバーの慣熟度が所定値未満である前記高リスク地点において、所定の回数以上、前記警告の出力前に減速を開始した実績がある前記ドライバーを示す第３の属性である場合には、前記第３の属性に分類される他のドライバーの走行履歴で急減速の件数が所定の件数以上発生している特別高リスク地点において前記警告を出力し、他の高リスク地点では前記警告を出力しない、
    　ことを特徴とする請求項１に記載の警告制御プログラム。     In the output process, the attribute indicates the driver having a track record of starting deceleration before the warning is output at a predetermined number of times or more at the high risk point where the driver's familiarity is less than a predetermined value. If the attribute is 3, the warning is output at a special high-risk point where the number of sudden decelerations exceeds the predetermined number in the driving history of other drivers classified as the third attribute. The warning is not output at high risk points.
    The warning control program according to claim 1, wherein:
  5. 　前記出力する処理は、前記高リスク地点の近傍に他の車両がいる場合に、前記属性に関わらず警告を出力する、
    　ことを特徴とする請求項１に記載の警告制御プログラム。     The output process outputs a warning regardless of the attribute when there is another vehicle in the vicinity of the high risk point.
    The warning control program according to claim 1, wherein:
  6. 　前記走行履歴は、前記ドライバーが高リスク地点を車両で走行した経験があるか否か、および、高リスク地点において車両の速度を減速する習慣があるか否かの情報を含む、
    　ことを特徴とする請求項１に記載の警告制御プログラム。     The travel history includes information whether the driver has experienced driving a high-risk point with a vehicle, and whether there is a habit of decelerating the vehicle speed at the high-risk point,
    The warning control program according to claim 1, wherein:
  7. 　ドライバーの走行履歴に基づいて、前記ドライバーを運転習慣に基づく属性に分類し、
    　分類した前記属性と、前記ドライバーが運転する車両の位置情報とに基づいて、前記車両の位置が高リスク地点に接近する場合に、前記属性に応じた警告を出力する、
    　処理をコンピュータが実行することを特徴とする警告制御方法。     Based on the driving history of the driver, classify the driver into attributes based on driving habits,
    Based on the classified attribute and the position information of the vehicle driven by the driver, when the position of the vehicle approaches a high risk point, a warning corresponding to the attribute is output.
    A warning control method characterized in that a computer executes a process.
  8. 　ドライバーの走行履歴に基づいて、前記ドライバーを運転習慣に基づく属性に分類する分類部と、
    　分類した前記属性と、前記ドライバーが運転する車両の位置情報とに基づいて、前記車両の位置が高リスク地点に接近する場合に、前記属性に応じた警告を出力する警告出力部と、
    　を有することを特徴とする情報処理装置。     A classification unit that classifies the driver into attributes based on driving habits based on the driving history of the driver;
    A warning output unit that outputs 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;
    An information processing apparatus comprising:
PCT/JP2016/073008 2016-08-04 2016-08-04 Warning control program, warning control method, and information processing device WO2018025386A1 (en)

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