JP6669259B2 - Warning control program, warning control method, and information processing device - Google Patents

Description

  The present invention relates to a warning control program, a warning control method, and an information processing device.

  In recent years, it has been practiced to collect operation information from a vehicle equipped with an operation recorder (hereinafter, also referred to as a digital tachograph) having a communication function and analyze the operation information. It has also been proposed to analyze operation information to extract high-risk points where the number of accidents is large, and issue a warning to the driver when a vehicle approaches the high-risk point.

JP 2011-109778 A

  However, for example, a driver who frequently travels at a high-risk point is always warned, which may distract the driver from the warning. For this reason, for example, even at a high-risk point on an unfamiliar road to which the driver has not traveled, the effect of the warning may be reduced without the driver minding the warning.

  In one aspect, the present invention is to provide a warning control program, a warning control method, and an information processing device that can reduce an accident risk at a high risk point.

  In one aspect, the warning control program causes a computer to execute a process of classifying the driver into an attribute based on a driving habit based on the driving history of the driver. The warning control program 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. Let the computer run.

  Accident risk at high risk points can be reduced.

FIG. 1 is a block diagram illustrating an example of a configuration of the warning control system according to the embodiment. FIG. 2 is a diagram illustrating an example of the 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 a 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.

  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 with reference to the drawings. Note that the disclosed technology is not limited by the present embodiment. Further, the following embodiments may be appropriately combined within a consistent range.

  FIG. 1 is a block diagram illustrating an example of a configuration of the warning control system according to the embodiment. The warning control system 1 illustrated in FIG. 1 includes a terminal device 10 and an information processing device 100. Although FIG. 1 illustrates a case where the system includes one terminal device 10 and the information processing device 100, the number of the terminal devices 10 and the information processing devices 100 is not limited. It may have a number of terminal devices 10 and information processing devices 100.

  The terminal device 10 and the information processing device 100 are communicably connected via a network N. As the network N, any type of communication network such as a LAN (Local Area Network) and a VPN (Virtual Private Network), such as the Internet, can be adopted regardless of whether it is wired or wireless.

  For example, the warning control system 1 collects operation information transmitted from the terminal device 10 mounted on the vehicle by the information processing device 100, and associates the operation information with the driver and the vehicle in a travel history database (hereinafter, a travel history DB). Is stored.) An example of the terminal device 10 is a digital tachograph (digital tachograph) having a communication function. That is, the terminal device 10 transmits, to the information processing device 100, operation information including the vehicle position information and the driver ID (IDentifier) at predetermined time intervals during the operation of the vehicle. In addition, the information processing apparatus 100 stores the operation information including the vehicle position information and the driver ID received from the terminal device 10 in the traveling history DB as the traveling 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 device 100 outputs a warning according to the attribute based on the classified attribute and the position information of the vehicle driven by the driver when the position of the vehicle approaches the high risk point. Thereby, the information processing apparatus 100 can reduce an accident risk at a high risk point.

  Next, the configuration of the terminal device 10 will be described. As shown 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, for example, 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 device 100 via the network N, and manages communication of information with the information processing device 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 Connected wirelessly or by wire. The communication unit 11 transmits the operation information including the vehicle position information and the driver ID input from the control unit 12 to the information processing device 100. Further, the communication unit 11 receives the warning information from the information processing device 100. The communication unit 11 outputs the received warning information to the control unit 12.

  The control unit 12 is realized by, for example, executing a program stored in an internal storage device using a RAM (Random Access Memory) as a work area by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Is done. Further, the control unit 12 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  The control unit 12 transmits operation information including a vehicle ID and a vehicle ID acquired by a satellite positioning system such as a GPS (Global Positioning System) and a driver ID, for example, via the network N every second. It is transmitted to the processing device 100. In addition, when the mobile phone line or the like is out of the service area, the control unit 12 may collectively transmit the operation information during the time when the communication is out of the service area.

  Further, when the vehicle approaches the high risk point, the control unit 12 receives warning information from the information processing device 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. 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 or the like 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 or the like 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 the 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.

  Next, the configuration of the information processing apparatus 100 will be described. As shown 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.

  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. When communicating with the terminal device 10 via a wireless base station such as a mobile phone line, the communication unit 110 is realized by, for example, an NIC (Network Interface Card) or the like. The communication unit 110 is a communication interface that is connected to the terminal device 10 wirelessly or via a wire 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 or the like 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 device 100. The operation unit 112 is realized by, for example, a keyboard, a mouse, or the like as an input device. The operation unit 112 outputs the 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, or 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 the operation information acquired from the terminal device 10, that is, the travel history. FIG. 2 is a diagram illustrating an example of the travel history database. As shown in FIG. 2, the travel history DB 121 stores “driver ID”, “vehicle ID”, “date and time”, “latitude”, “longitude”, “speed”, “G value (back and forth)”, “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 the 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 was 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 rear)”, “G value (horizontal)”, and “G value (up and down)” are information indicating the acceleration in each direction applied to the vehicle on which the terminal device 10 is mounted. That is, the traveling history stored in the traveling history DB 121 is information as to whether the driver has experienced traveling at a high-risk point with a vehicle and whether or not there is a habit of reducing the speed of the vehicle at the high-risk point. Is included.

  Returning to the description of FIG. 1, the driver attribute storage unit 122 stores, for each driver, attributes based on driving habits classified based on the driving history. FIG. 3 is a diagram illustrating an example of the driver attribute storage unit. As shown in FIG. 3, the driver attribute storage unit 122 has 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. The “attribute” is information indicating an attribute based on a driving habit of the driver, and may 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 a high-risk point without decelerating regardless of the driver's familiarity at the high-risk point. The familiarity level of the driver can be evaluated, for example, in five steps based on information indicating how many times the driver has traveled at the high risk point. The familiarity level of the driver is, for example, "1" when the number of runs is 0, "2" from 1 to less than 10 times, "3" from 10 to less than 20 times, "4" from 20 to less than 50 times, 50 or more times can be set to “5”.

  The second attribute is that at a high-risk point where the driver's proficiency level is equal to or higher than a predetermined value, deceleration is started before outputting a warning, but at a high-risk point where the proficiency level is lower than a predetermined value, the driver enters without deceleration. This attribute indicates the driver who has a habit of doing. Here, the predetermined value of the familiarity level of the driver can be, for example, “3”.

  The third attribute is an attribute indicating a driver who has actually started deceleration at least a predetermined number of times before outputting a warning at a high risk point where the driver's familiarity is less than a predetermined value. Here, the predetermined value of the familiarity level of the driver can be, for example, “3”, similarly to the second attribute. In addition, the predetermined number of times that the deceleration is started before the warning is output may be an arbitrary number, for example, five times.

  Returning to the description of FIG. 1, the high-risk point storage unit 123 stores the position information of the high-risk point where the number of accidents is large 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 a high risk point storage unit. As shown in FIG. 4, the high-risk point storage unit 123 has items such as “point ID”, “latitude”, “longitude”, “extra high risk”, and “degree of driver familiarity”. “Driver familiarity level” has 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 the high risk point. The “extra high risk” is information indicating that the location of the extra high risk is such that the number of sudden decelerations in the traveling history of each driver classified into the third attribute is equal to or more than a predetermined number. The predetermined number can be, for example, ten. The “extra high risk” is, for example, marked with a circle when the location is the extra high risk. The items of “point ID”, “latitude”, “longitude”, and “extra high risk” are, for example, input in advance by the administrator of the information processing apparatus 100 and stored in the high risk point storage unit 123. “Driver familiarity” is information indicating the familiarity of the driver at the high risk point. The familiarity level of the driver can be, for example, a five-level evaluation similar to that of the driver attribute storage unit 122.

  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 the familiarity level “1” and has never traveled. The driver with the driver ID “D002” has a familiarity level of “3” and indicates that the driver has traveled 10 to less than 20 times. The driver with the driver ID “D003” has a familiarity level of “4” and indicates that the driver has traveled 20 to less than 50 times. The driver with the driver ID “D003” has a familiarity level of “4” and indicates that the driver has traveled 20 to less than 50 times. The driver with the driver ID “D004” has the familiarity level “5”, and indicates that the driver has traveled 50 times or more.

  Returning to the description of FIG. 1, the control unit 130 is realized by, for example, a CPU or an MPU executing a program stored in an internal storage device using a RAM as a work area. Further, the control unit 130 may be realized by, for example, an integrated circuit such as an ASIC or an FPGA. The control unit 130 includes an acquisition unit 131, a classification unit 132, and a warning output unit 133, and implements 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 configuration performs information processing described later.

  Upon receiving the 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. Further, the acquisition unit 131 extracts the vehicle position information and the driver ID from the received operation information. That is, the acquisition unit 131 starts acquiring the vehicle position information and the driver ID. The acquisition unit 131 outputs the acquired position information of the vehicle and the driver ID to the warning output unit 133. For example, when the operation information is transmitted from the terminal device 10 at one-second intervals, the acquisition unit 131 outputs the vehicle position information and the driver ID extracted at one-second intervals to the warning output unit 133.

  The classification unit 132 acquires the traveling history of each driver from the traveling history DB 121. The classification unit 132 calculates the familiarity level of the driver for each high-risk point for each classification target driver based on the acquired traveling history. For example, as described above, the classifying unit 132 can evaluate the familiarity of the driver based on the number of times of traveling at each high-risk point, for example, in five levels. The classification unit 132 stores the calculated familiarity level of the driver in the high-risk point storage unit 123 in association with the point ID.

  Next, the classification unit 132 refers to the travel history DB 121 and the high-risk point storage unit 123, and classifies each driver into a first attribute, a second attribute, and a second attribute based on the driving habit of the driver to be classified at the high-risk point. Classify into any of the third attributes. The classification unit 132 stores the classified attributes in the driver attribute storage unit 122 in association with the driver ID.

  The classification unit 132 classifies, for example, a driver who has a habit of entering the high-risk point without decelerating into the high-risk point regardless of the familiarity level of the driver at the high-risk point. In addition, the classification unit 132 starts deceleration before outputting a warning at a high-risk point where the driver's proficiency level is equal to or higher than a predetermined value, but decelerates at a high-risk point where the proficiency level is lower than the predetermined value. The driver who has a habit of entering without entering is classified into the second attribute. Furthermore, the classification unit 132 classifies, for example, at a high-risk point where the familiarity of the driver is less than a predetermined value, a driver who has actually started deceleration before outputting a warning for a predetermined number of times or more, as a third attribute. . Note that the predetermined value can be, for example, “3”. The predetermined number of times can be, for example, five times.

  When the position information of the vehicle 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 based on the position information of the vehicle, the vehicle is approaching the high-risk point. Is determined. When the vehicle is not approaching the high risk point, the warning output unit 133 continuously monitors the position information of the vehicle. When the vehicle is approaching the high-risk point, the warning output unit 133 determines whether or not there is traveling experience at the approaching high-risk point based on the position information of the vehicle. Here, it is assumed that the driving experience is, for example, the driving experience when the driver's familiarity at the high risk point is “3” or more.

  If the driver has experience traveling at the approaching high-risk point, the warning output unit 133 refers to the driver attribute storage unit 122 based on the driver ID and determines whether the driver has the first attribute. 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 vehicle of the driver via the communication unit 110 and the network N. The warning output unit 133 does not output a warning when the driver does not have the first attribute.

  The warning output unit 133 determines whether or not the driver has the traveling experience at the approaching high-risk point when the driver does not have the traveling experience at the approaching high-risk point. Is determined. When the driver has the first attribute or the second attribute, the warning output unit 133 issues a warning to the terminal device 10 mounted on the vehicle of the driver via the communication unit 110 and the network N. Submit information. If the driver does not have the first attribute or the second attribute, the warning output unit 133 determines whether the approaching high-risk point is an extra high-risk point.

  If the approaching high-risk point is a special high-risk point, the warning output unit 133 issues a warning to the terminal device 10 mounted on the vehicle of the driver via the communication unit 110 and the network N. Submit 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 on which the terminal device 10 is mounted until the vehicle has finished driving.

  In addition, when the vehicle is approaching the high risk point, the warning output unit 133 outputs a warning regardless of the attribute of the driver when there is another vehicle near the high risk point, for example, when there is another vehicle on an intersecting road. That is, the warning information may be transmitted to the terminal device 10. The presence or absence of another vehicle can be determined, for example, by acquiring information detected by a vehicle sensor or the like provided at an intersection from a system that manages traffic information. The presence or absence of another vehicle may be detected using, for example, a millimeter wave radar mounted on the vehicle.

  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 coming out of the road 22 is likely to be hidden by a tree 24 in an accident, 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, which is a high-risk point, for example, when the vehicle is not decelerated beyond the warning point 25, the information processing apparatus 100 Send warning information to.

  For example, a driver having the first attribute or the second attribute having no traveling experience at the intersection 23 proceeds along the route 26, exceeds the warning point 25, and starts deceleration at the point 27. In this case, there is a possibility that the vehicle is not sufficiently decelerated when entering the intersection 23. For this reason, warning information is transmitted from the information processing apparatus 100 to the terminal device 10 at the point of the warning point 25 for a driver having the first attribute or the second attribute having no traveling experience at the intersection 23. .

  On the other hand, the driver having the second attribute or the third attribute who has experience traveling at the intersection 23 proceeds along the route 28 and starts decelerating at the point 29 before the warning point 25. In this case, the information processing apparatus 100 does not transmit the warning information to the terminal device 10 because it is determined that the driver is sufficiently decelerating when entering the intersection 23. Although the course 26 and the course 28 are described in parallel for the sake of explanation, it is assumed that the vehicle actually runs on the same lane.

  Next, the operation of the warning control system 1 according to the embodiment will be described. First, a classification process for classifying drivers based on a traveling history will be described. FIG. 6 is a flowchart illustrating an example of the classification process according to the embodiment.

  The classification unit 132 of the information processing device 100 acquires the traveling history of each driver from the traveling history DB 121 (Step S1). The classification unit 132 calculates the familiarity of the driver for each high-risk point for each classification target driver based on the acquired traveling history (step S2). The classification unit 132 stores the calculated familiarity level of the driver in the high-risk point storage unit 123 in association with the point ID.

  The classification unit 132 classifies each driver into attributes based on driving habits with reference to the travel history DB 121 and the high-risk point storage unit 123 (Step S3). The classification unit 132 stores the classified attributes 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.

  Next, a warning control process 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.

  The acquisition unit 131 of the information processing device 100 receives the operation information of the vehicle from the terminal device 10 and starts acquiring the position information of the vehicle and the driver ID (step S11). The acquisition unit 131 outputs the acquired position information of the vehicle and the driver ID to the warning output unit 133.

  When the position information of the vehicle and the driver ID are input from the acquisition unit 131, the warning output unit 133 determines whether or not the vehicle is approaching the high-risk point based on the position information of the vehicle (step S12). If the vehicle is not approaching the high risk point (step S12: No), the warning output unit 133 proceeds to step S18. If the vehicle is approaching the high-risk point (Yes at Step S12), the warning output unit 133 determines whether there is any traveling experience at the approaching high-risk point based on the position information of the vehicle. (Step S13).

  If there is a driving experience at the approaching high-risk point (Yes at Step S13), the warning output unit 133 determines whether the driver has the first attribute based on the driver ID (Step S14). ). When the driver has the first attribute (step S14: YES), the warning output unit 133 transmits warning information to the terminal device 10 mounted on the vehicle of the driver (step S15), Proceed to step S18. If the driver does not have the first attribute (step S14: No), the warning output unit 133 does not transmit the warning information and proceeds to step S18.

  If it is determined in the determination as to whether or not there is traveling experience at the approaching high-risk point (step S13: No), the warning output unit 133 determines that the driver has not traveled at the approaching high-risk point. 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 (step S16: YES), the warning output unit 133 transmits warning information to the terminal device 10 mounted on the vehicle of the driver. (Step S15), the process proceeds to step S18.

  If the driver does not have the first attribute or the second attribute (step S16: No), the warning output unit 133 determines whether the approaching high-risk point is an extra-high-risk point (step S17). ). When the approaching high-risk point is the 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 the driving has been completed based on the vehicle position information (step S18). If the operation is not to be ended (step S18: No), the warning output unit 133 returns to step S12. If the operation has ended (step S18: YES), the warning output unit 133 ends the warning control process. Thereby, the information processing apparatus 100 can perform more effective risk notification according to the attributes of the driver, so that the risk of an accident at a high risk point can be reduced.

  As described above, the information processing apparatus 100 classifies the driver into attributes based on driving habits based on the driving history of the driver. In addition, based on the classified attributes and the position information of the vehicle driven by the driver, the information processing device 100 outputs a warning corresponding to the attribute when the position of the vehicle approaches the high risk point. As a result, the risk of an accident at a high risk point can be reduced.

  If the attribute is the first 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, Output a warning at the risk point. As a result, it is possible to reduce the risk of an accident at a high risk point for a driver who has a habit of entering a high risk point without decelerating.

  In the information processing apparatus 100, the attribute starts deceleration before outputting a warning at a high-risk point where the driver's familiarity is equal to or more than a predetermined value, but at a high-risk point where the familiarity is less than the predetermined value, It may be a second attribute indicating a driver who has a habit of entering without deceleration. 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 more than a predetermined value, and outputs a warning 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.

  In the information processing apparatus 100, the attribute is a third attribute indicating a driver who has actually started deceleration at least a predetermined number of times 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 an extra high risk that the number of sudden decelerations in the driving history of the other drivers classified as the third attribute is equal to or more than a predetermined number. Outputs a warning at a point and does not output a warning at other high-risk points. As a result, the risk of an accident at a high risk point for a prudent driver can be reduced.

  In addition, when there is another vehicle near the high risk point, the information processing apparatus 100 outputs a warning regardless of the attribute. As a result, the risk of encounter collisions can be reduced.

  Further, in the information processing apparatus 100, the traveling history includes information as to whether the driver has experienced traveling at a high-risk point by a vehicle and whether or not the driver has a habit of reducing the speed of the vehicle at the high-risk point. Including. As a result, it is possible to output a warning according to the driving habit of the driver based on the traveling history.

  In the above embodiment, the classification process and the warning control process are performed in the information processing apparatus 100, but 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 classifies and warns a driver of a vehicle in which the terminal device 10 is mounted. May be performed.

  Further, in the above embodiment, the terminal device 10 that has received the warning information gives a warning by screen display or voice, but the present invention is not limited to this. For example, the reason for the warning may be reported to the driver together with the warning.

  Further, in the above embodiment, the intersection as shown in FIG. 5 is given as the high risk point, but the present invention is not limited to this. For example, a high-risk point may be a high-risk point on a mountain pass or the like with poor visibility, or may be a high-risk point.

  In addition, each component of each unit 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 the one shown in the figure, and all or a part thereof is functionally or physically distributed / integrated in arbitrary units according to various loads and usage conditions. Can be configured. For example, 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 simultaneously or may be performed in a different order, as long as the process contents are not contradictory.

  Further, various processing functions performed by each device may be entirely or arbitrarily executed on a CPU (or a microcomputer such as an MPU or an MCU (Micro Controller Unit)). The various processing functions may be entirely or arbitrarily executed on a program analyzed and executed by a CPU (or a microcomputer such as an MPU or an MCU) or on hardware by wired logic. It goes without saying that it is good.

  The various processes described in the above embodiments can be realized by executing a prepared program on a computer. Therefore, in the following, an example of a computer that executes a program having the same function as the above-described embodiment will be described. FIG. 8 is a diagram illustrating an example of a computer that executes a warning control program.

  As shown in FIG. 8, the computer 200 includes a CPU 201 for executing various arithmetic processing, an input device 202 for receiving data input, and a monitor 203. Also, the computer 200 includes a medium reading device 204 for reading a program or the like from a storage medium, an interface device 205 for connecting to various devices, and a communication device 206 for connecting to another information processing device or the like by wire or wirelessly. Having. Further, the computer 200 has a RAM 207 for temporarily storing various information, and a hard disk device 208. Each of the devices 201 to 208 is connected to a bus 209.

  The hard disk device 208 stores a warning control program having functions similar to those of 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 stores a travel history DB 121, a driver attribute storage unit 122, a high-risk point storage unit 123, and various data for implementing a warning control program. The input device 202 has, for example, functions similar to those of the operation unit 112 illustrated in FIG. 1 and accepts input of various 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, for example, functions similar to those of the communication unit 110 illustrated in FIG. 1 and is connected to the terminal device 10 and exchanges various information with the terminal device 10.

  The CPU 201 performs various processes by reading out each program stored in the hard disk device 208, developing the program in the RAM 207, and executing the program. 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.

  Note that the above warning control program does not necessarily need to be stored in the hard disk device 208. For example, the computer 200 may read out 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 or a DVD disk, a USB (Universal Serial Bus) memory, a semiconductor memory such as a flash memory, a hard disk drive, or the like. 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 out and execute the warning control program therefrom.

Reference Signs List 1 warning control system 10 terminal device 11 communication unit 12 control unit 13 display unit 14 operation unit 100 information processing device 110 communication unit 111 display unit 112 operation unit 120 storage unit 121 running 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)

On the computer,
Based on the position information of the vehicles, and outputting a warning when the position of the vehicle approaches a high-risk sites,
In the outputting process, based on a traveling history of a driver who drives the vehicle, when the tendency of the driver to start deceleration before outputting the warning is higher than a predetermined reference, a process of suppressing the output. ,
The warning control program for causing runs. Processing of the output, based on the travel history, regardless of the shakedown of the driver in the high-risk point, it tends to enter without reduction in the high-risk point is at high the drivers than the predetermined reference in some cases, it outputs the warning in the high-risk sites,
The warning control program according to claim 1, wherein: The output process starts deceleration before outputting the warning at the high risk point where the proficiency level of the driver is equal to or more than a predetermined value based on the traveling history, but the proficiency level is lower than the predetermined value. in the high-risk point is, if a tendency to enter without deceleration is the drivers higher than a predetermined criterion, outputting the warning in the high-risk point the shakedown degree is the predetermined value or more Without 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: The output processing is based on the driving history, and the driver has a track record of starting deceleration at least at a predetermined number of times at the high risk point where the driver's familiarity is less than a predetermined value before outputting the warning. If it is over, the number of rapid deceleration in the travel history of the other of said driver outputs the warning in particularly high risk point has occurred more than a predetermined number, the not particularly high risk locations in high-risk point is Do not output the warning,
The warning control program according to claim 1, wherein: Processing of the output, when there are other vehicles in the vicinity of the high risk point, and outputs the warning regardless tendency of the driver,
The warning control program according to claim 1, wherein: The driving history, the driver whether there is experience in traveling the high risk locations in the vehicle, and a high information indicating whether the reference trend predetermined decelerating the speed of the vehicle in the high-risk point Including,
The warning control program according to claim 1, wherein: Computer
Based on the position information of the vehicles, and outputting a warning when the position of the vehicle approaches a high-risk sites,
In the outputting process, based on a traveling history of a driver who drives the vehicle, when the tendency of the driver to start deceleration before outputting the warning is higher than a predetermined reference, a process of suppressing the output. ,
Warning control method characterized by run. Based on the position information of the vehicles, and the warning output unit for outputting a warning when the position of the vehicle approaches a high-risk sites,
A suppression unit that suppresses the output when the tendency of the driver to start deceleration before the output of the warning is higher than a predetermined criterion, based on a travel history of the driver driving the vehicle;
An information processing apparatus comprising:

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