Danger determination device, risk determination method, and risk determination program

Abstract

A risk determination device is provided with: a history information acquisition unit that acquires history information indicating an action history of a driver in a vehicle; a determination unit that performs determination processing on the basis of the history information, the determination processing being processing for making a determination relating to the risk of driving of the vehicle by the driver; and a notification unit that, if it is determined in the determination process that the driver has been in the driving danger, performs danger notification processing that notifies a first notification target of danger information indicating the determination result.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to a dangerousness determination device, a dangerousness determination method, and a dangerousness determination program. This application claims priority based on Japanese Application No. 2023-119822 filed on July 24, 2023, and the entire content described in the Japanese application is hereby incorporated by reference. BACKGROUND

[0002] In the past, a technology of determining a state of a driver who is driving a vehicle has been developed. For example, a driver state determination device disclosed in Patent Literature 1 (Japanese Patent Application Publication No. 2002-8159) is such that the driver state determination device is provided with a body pressure sensor provided on a seat surface of a seat and an arithmetic device that calculates a center of gravity of a seat surface pressure applied to the seat surface by the driver from data output from the body pressure sensor and determines a driving state of the driver by comparing time series data of a change in the center of gravity with a characteristic pattern in the driving state of the driver stored in advance.

[0003] PRIOR ART DOCUMENTS

[0004] PATENT LITERATURE

[0005] Patent Literature 1: Japanese Patent Application Publication No. 2002-8159 SUMMARY

[0006] The dangerousness determination device of the present disclosure is provided with a history record information acquisition section that acquires history record information indicating an action history record of a driver in a vehicle, a determination section that performs a determination process based on the history record information, the determination process being a process of determining a dangerousness related to driving of the vehicle by the driver, and a notification section that performs a dangerousness notification process of notifying dangerousness information indicating a determination result to a first notification target in a case where it is determined in the determination process that the driving by the driver is dangerous.

[0007] An aspect of the present disclosure can be realized not only as a dangerousness determination device provided with such a characteristic process section, but also as a semiconductor integrated circuit that realizes a part or the entirety of a dangerousness determination device, or as a system including a dangerousness determination device. BRIEF DESCRIPTION OF DRAWINGS

[0008] Figure 1 FIG. 1 is a diagram illustrating an example of a structure of a dangerousness determination system according to an embodiment of the present disclosure.

[0009] Figure 2 FIG. 2 is a diagram illustrating an example of a structure of a dangerousness determination device according to an embodiment of the present disclosure.

[0010] Figure 3 FIG. 1 is a diagram illustrating an example of a history record table held by a dangerousness judging device according to an embodiment of the present disclosure.

[0011] Figure 4 FIG. 2 is a diagram illustrating an example of a facility table held by the dangerousness judging device according to the embodiment of the present disclosure.

[0012] Figure 5 FIG. 3 is a diagram illustrating an example of an updated pattern table held by the dangerousness judging device according to the embodiment of the present disclosure.

[0013] Figure 6 FIG. 4 is a diagram illustrating an example of a road table held by the dangerousness judging device according to the embodiment of the present disclosure.

[0014] Figure 7 FIG. 5 is a diagram illustrating an example of a dangerousness table generated by the dangerousness judging device according to the embodiment of the present disclosure.

[0015] Figure 8 FIG. 6 is a diagram illustrating an example of a service provision table held by the dangerousness judging device according to the embodiment of the present disclosure.

[0016] Figure 9 FIG. 7 is a diagram illustrating an example of a notification table held by the dangerousness judging device according to the embodiment of the present disclosure.

[0017] Figure 10 FIG. 8 is a flowchart illustrating a procedure of an action of the dangerousness judging device according to the embodiment of the present disclosure. DETAILED DESCRIPTION

[0018] [Technical Problem to be Solved by the Present Disclosure]

[0019] An object of the present disclosure is to provide a dangerousness judging device, a dangerousness judging method, and a dangerousness judging program that can judge dangerousness of driving of a driver.

[0020] [Effects of the Present Disclosure]

[0021] According to the present disclosure, it is possible to judge dangerousness of driving of a driver.

[0022] First, the contents of the embodiment of the present disclosure are listed to be described.

[0023] (1) A dangerousness determination device according to an embodiment of the present disclosure includes: a history record information acquisition section that acquires history record information indicating a history record of actions of a driver in a vehicle; a determination section that performs determination processing based on the history record information, the determination processing being processing that determines a dangerousness of driving of the vehicle by the driver; and a notification section that, in a case where the determination processing determines that the driving by the driver is dangerous, performs dangerousness notification processing that notifies a first notification target of dangerousness information indicating a determination result.

[0024] The dangerousness determination device determines a dangerousness of driving by a driver in a vehicle based on a history record of actions of the driver. According to the dangerousness determination device, for example, compared to a case where a dangerousness of driving is determined by a short-time inspection based on a driving skill inspection, a potential dangerousness can be easily found, and a dangerousness of driving can be more objectively determined based on a history record of actions. The dangerousness determination device, in a case where it is determined that the driving of the driver is dangerous, notifies a first notification target of a determination result. In the first notification target, it is possible to grasp that the driving by the driver has a potential dangerousness.

[0025] (2) In the above (1), the first notification target can be different from the driver.

[0026] According to this structure, it is possible for the first notification target, which is a third party, to grasp a potential dangerousness of driving by the driver.

[0027] (3) In the above (1) or (2), the dangerousness determination device can include a service information acquisition section that acquires service information indicating a service that can be provided in a case where the driver does not drive the vehicle, and the notification section can notify the second notification target, which is different from the driver, of the service information.

[0028] According to this structure, it is possible for the notification target of the service information to grasp that a substitute service based on a history record of driving by the driver is provided.

[0029] (4) In the above (3), the second notification target can be the same as the first notification target.

[0030] According to this structure, it is possible for the notification target to grasp a dangerousness of driving by the driver and to indicate that a provision of a substitute service is possible.

[0031] (5) In any one of the above (1) to (4), the history information can include a measured value of a required time in a case where the driver drives the vehicle from a first place to a second place, and the judging section can perform the judging process based on the measured value and an estimated value of a required time in a case where the vehicle travels from the first place to the second place.

[0032] According to this structure, in a case where the driver has driven toward a destination, for example, it is possible to judge that much required time has been spent due to a detour, and thus it is possible to notify of the existence of a risk that the driver easily gets lost.

[0033] (6) In any one of the above (1) to (5), the history information can include first position information indicating a history of a position of the vehicle in a case where the driver drives the vehicle during a first period, and second position information indicating a history of a position of the vehicle in a case where the driver drives the vehicle during a second period later than the first period, and the judging section can perform the judging process based on the first position information and the second position information.

[0034] According to this structure, for example, it is possible to judge that the driver has arrived at a place that is not normally visited, and thus the risk judging device can notify of the existence of a risk that the driver visits an unexpected place.

[0035] (7) In any one of the above (1) to (6), the history information can include a history of a position of a shift lever of the vehicle in a case where the vehicle is parked, and a history of a rotation speed of a prime mover mounted on the vehicle, and the judging section can perform the judging process based on the history of the position of the shift lever and the history of the rotation speed.

[0036] According to this structure, for example, it is possible to judge that the driver has erroneously performed an accelerator operation in a case where the vehicle is parked, and thus it is possible to notify of the existence of a risk that the driver erroneously performs an accelerator operation.

[0037] (8) In any one of the above (1) to (7), the history information can include a history of lighting of a danger warning lamp of the vehicle, and a history of operation of a turn signal lever of the vehicle, and the judging section can perform the judging process based on the history of lighting and the history of operation.

[0038] According to this structure, for example, it is possible to judge that the driver has erroneously performed an operation of a danger warning lamp and a turn signal, and thus it is possible to notify of the existence of a risk that the driver erroneously performs an operation of the vehicle in a case where the vehicle travels or is parked.

[0039] (9) In any one of (1) to (8) described above, the history information can include a history of lighting of a warning light of the vehicle and a history of speed of the vehicle in the vehicle traveling, and the judging section can perform the judging process based on the history of lighting and the history of speed.

[0040] According to this structure, it is possible to judge that the driver has erroneously performed operation of the warning light in the vehicle traveling, for example, and thus it is possible to notify the existence of the risk of erroneous operation of the vehicle by the driver in the vehicle traveling.

[0041] (10) In any one of (1) to (9) described above, the risk judging device can further include a correspondence information acquisition section that acquires correspondence information indicating a correspondence relationship between identification information of the driver and the first notification object, the history information acquisition section can acquire the history information and the identification information, and the notifying section can perform the risk notification process of notifying the risk to the first notification object corresponding to the identification information based on the correspondence information.

[0042] According to this structure, it is possible to easily determine the notification object of the risk information.

[0043] (11) A risk judging method according to an embodiment of the present disclosure is a risk judging method in a risk judging device, including the steps of: acquiring history information indicating a history of action of a driver in a vehicle; performing a judging process based on the history information, the judging process being a process of judging a risk of driving of the driver; and in a case where it is judged that the driving by the driver is dangerous in the step of performing the judging process, performing a risk notification process of notifying risk information indicating a result of the judging to a first notification object.

[0044] This risk judging method judges a risk of driving by a driver in a vehicle based on a history of action of the driver. According to this risk judging method, it is possible to easily find a latent risk, for example, as compared with a case where a risk of driving is judged by a short-time check such as a driving skill check. The risk judging method notifies a result of the judging to a first notification object in a case where it is judged that the driving of the driver is dangerous. In the first notification object, it is possible to grasp that the driving by the driver has a latent risk.

[0045] (12) In (11) described above, the first notification object can be different from the driver.

[0046] Thus, the first notification object as a third party can grasp the potential danger of the driving by the driver.

[0047] (13) The danger judgment program according to the embodiment of the present disclosure is a danger judgment program used in a danger judgment device, the danger judgment program causing a computer to function as: a history record information acquisition section that acquires history record information indicating an action history record of a driver in a vehicle; a judgment section that performs a judgment process based on the history record information, the judgment process being a process of making a judgment related to a danger of driving of the vehicle by the driver; and a notification section that, in a case where it is judged in the judgment process that the driving by the driver is dangerous, performs a danger notification process of notifying danger information indicating a judgment result to a first notification object.

[0048] The danger judgment program judges a danger of driving by a driver in a vehicle based on an action history record of the driver. For example, compared to a case where a danger of driving is judged by a short-time inspection such as a driving skill inspection, a potential danger can be easily found. The danger judgment program notifies a judgment result to a first notification object in a case where it is judged that the driving of the driver is dangerous. In the first notification object, it can be grasped that there is a potential danger of the driving by the driver.

[0049] (14) In the above (13), the first notification object can be different from the driver.

[0050] Thus, the first notification object as a third party can grasp the potential danger of the driving by the driver.

[0051] Hereinafter, the embodiment of the present disclosure will be described using the drawings. Note that the same reference signs are attached to the same or equivalent portions in the drawings, and the description thereof is not repeated. In addition, at least a part of the embodiment described below can be arbitrarily combined.

[0052] <Danger Judgment System>

[0053] Figure 1 is a drawing illustrating an example of a structure of a danger judgment system according to the embodiment of the present disclosure. Referring to Figure 1 , the danger judgment system 501 includes a danger judgment device 101 and one or more in-vehicle devices 201. The danger judgment device 101 and the in-vehicle device 201 can perform transmission and reception of information via an external network 151 such as the Internet, for example. The danger judgment device 101 is a server, for example.

[0054] The in-vehicle device 201 is mounted on the vehicle 1. The in-vehicle device 201 is connected to various sensors and in-vehicle equipment such as cameras in the in-vehicle network mounted on the vehicle 1, for example, via a CAN (Controller Area Network) bus.

[0055] The in-vehicle device 201 acquires vehicle information related to the vehicle 1 itself and transmits the acquired vehicle information to the danger judgment device 101. The vehicle information includes, for example, measurement information indicating measurement results of various sensors, image information indicating images captured by cameras, and position information indicating a position where the vehicle 1 is located.

[0056] More specifically, for example, the sensors detect information related to the vehicle 1. In the present embodiment, for example, the sensors are a vehicle speed sensor that detects a vehicle speed of the vehicle 1, a shift lever sensor that detects a position of a shift lever, a rotation speed sensor that detects a rotation speed of an engine mounted on the vehicle 1 (hereinafter, also referred to as "engine rotation speed"), a danger warning light sensor that detects an operation of a danger warning light by a driver, and a turn signal sensor that detects an operation of a turn signal by the driver, and the like. The engine is an example of a prime mover.

[0057] Each sensor, for example, periodically performs a measurement process that is a process of measuring and transmitting measurement information indicating a measurement result to the in-vehicle device 201.

[0058] The camera, for example, periodically performs a capturing process that is a process of capturing an image of a surrounding area of the vehicle 1 and transmitting image information indicating the captured image to the in-vehicle device 201. The camera, for example, performs the capturing process at the same timing as the measurement process by the sensor.

[0059] The in-vehicle device 201 saves the received measurement information and image information in the storage section when the measurement information is received from the sensor or the image information is received from the camera.

[0060] In addition, the in-vehicle device 201 performs a position acquisition process of acquiring position information. As an example, the position information is a coordinate (hereinafter, also referred to as "vehicle coordinate") indicated by a latitude and a longitude indicating a position of the vehicle 1.

[0061] More specifically, the in-vehicle device 201, for example, periodically calculates a vehicle coordinate based on a radio wave from a GPS (Global Positioning System) satellite and saves position information indicating the calculated vehicle coordinate in the storage section. The in-vehicle device 201, for example, performs the position acquisition process at the same timing as the measurement process by the sensor and the capturing process by the camera.

[0062] The in-vehicle device 201, upon receiving the measurement information, the image information, and the position information, saves, in the storage section, a time at which each information is received (hereinafter, also referred to as "acquisition time") in association with each information.

[0063] The storage section of the in-vehicle device 201 stores identification information for identifying the vehicle 1 (hereinafter, also referred to as "vehicle ID") and identification information for identifying the driver (hereinafter, also referred to as "driver ID").

[0064] The in-vehicle device 201, every certain time after the start of itself, transmits, to the risk judgment device 101, a vehicle information group accumulated in the storage section, including a plurality of vehicle information, a plurality of acquisition times corresponding to the plurality of vehicle information respectively, the vehicle ID, and the driver ID. For example, the in-vehicle device 201 transmits the vehicle information group to the risk judgment device 101 every one hour after the start of itself, for example, and deletes the vehicle information group accumulated in the storage section.

[0065] The risk judgment device 101, upon receiving the vehicle information group from the in-vehicle device 201, judges the risk of the driving of the driver with respect to the vehicle 1, based on the vehicle information included in the received vehicle information group. The risk judgment device 101 is used by, for example, an enterprise or an individual (hereinafter, collectively referred to as a user) that manages the operation of the vehicle 1.

[0066] <Risk Judgment Device>

[0067] Figure 2 is a diagram illustrating an example of the structure of the risk judgment device according to the embodiment of the present disclosure. As illustrated in Figure 2 , the risk judgment device 101 includes a history record information acquisition section 11, a processing section 12, and a storage section 13. The processing section 12 includes a judgment section 21, a generation section 22, a service information acquisition section 23, a notification section 24, and a notification information acquisition section 25. At least one of the history record information acquisition section 11 and the processing section 12 is implemented by, for example, a processing circuitry including one or a plurality of processors. The storage section 13 is, for example, a non-volatile memory included in the above-described processing circuitry.

[0068] (History Record Information Acquisition Section)

[0069] The history record information acquisition section 11 acquires history record information indicating an action history record of the driver in the vehicle 1, the vehicle ID, and the driver ID.

[0070] More specifically, for example, the history record information includes vehicle coordinates in the vehicle 1 traveling or parked, measurement results of various sensors indicating contents of operations by the driver, and information of an image captured by a camera. The history record information is, for example, time-series vehicle information acquired by the in-vehicle device 201 in the vehicle 1 traveling or parked.

[0071] The history record information acquisition section 11 acquires history record information included in the received vehicle information group when the vehicle information group is received from the in-vehicle device 201, and acquires a vehicle ID and a driver ID included in the vehicle information group.

[0072] For example, the storage section 13 stores a history record table Tb1 indicating a correspondence relation of a vehicle ID, an acquisition time, a driver ID, and history record information. In an initial state, the acquisition time, the driver ID, and the history record information corresponding to the vehicle ID are not stored in the history record table Tb1.

[0073] The history record information acquisition section 11 updates the history record table Tb1 every time the vehicle information group is received from the in-vehicle device 201.

[0074] More specifically, for example, the history record information acquisition section 11 reads out the history record table Tb1 in the storage section 13 when the vehicle information group is received from the in-vehicle device 201. Then, the history record information acquisition section 11 registers the acquired history record information, the vehicle ID, and the driver ID in the history record table Tb1 in correspondence with each acquisition time included in the received vehicle information group.

[0075] Figure 3 is a drawing illustrating an example of a history record table held by a dangerousness judgment device according to an embodiment of the present disclosure.

[0076] Referring to Figure 3 In the vehicle 1 of the vehicle ID "V1" driven by the driver of the driver ID "D1", the latitude of the vehicle coordinates at the acquisition time t1 is "L11", and the longitude is "L21". The vehicle speed at the acquisition time t1 is "50 km / h", the position of the shift lever is "D", the engine speed is "2000 rpm", the danger warning light is "off", and the turn signal is "off". The image captured at the acquisition time t1 is "G1".

[0077] In the vehicle 1 of the vehicle ID "V1" driven by the driver of the driver ID "D1", the latitude of the vehicle coordinates at the time t2 is "L12", and the longitude is "L22". The vehicle speed at the time t2 is "80 km / h", the position of the shift lever is "D", the engine speed is "4000 rpm", the hazard warning light is "off", and the turn signal is "off". The image captured at the time t2 is "G2".

[0078] In the vehicle 1 of the vehicle ID "V1" driven by the driver of the driver ID "D1", the latitude of the vehicle coordinates at the time t3 is "L13", and the longitude is "L23". The vehicle speed at the time t3 is "100 km / h", the position of the shift lever is "D", the engine speed is "8000 rpm", the hazard warning light is "on", and the turn signal is "on". The image captured at the time t3 is "G3".

[0079] The history record information acquisition section 11 outputs an update completion notification R1 to the determination section 21 and the generation section 22 at the time of updating the history record table Tb1, the update completion notification R1 indicating the flag information that the history record table Tb1 has been updated and the plurality of acquisition times included in the vehicle information group received from the in-vehicle device 201.

[0080] (Facility Table)

[0081] Figure 4 is a drawing illustrating an example of a facility table saved by the danger determination device according to the embodiment of the present disclosure.

[0082] With reference to Figure 2 and Figure 4 , the storage section 13 also stores a facility table Tb2. The facility table Tb2 indicates the correspondence relationship of the identification information (hereinafter, also referred to as "facility ID") for identifying a facility, the name of the facility, the attribute of the facility, the purpose of use of the facility, and the position coordinates of the facility. The facility table Tb2 is, for example, registered in the storage section 13 by the user in advance.

[0083] In the facility table Tb2, the name of the facility corresponding to the facility ID "001" is "GGG", the attribute of the facility is "commercial facility", the purpose of use is "shopping", and the latitude and the longitude of the position coordinates are "L71" and "L81", respectively. The name of the facility corresponding to the facility ID "002" is "HHH", the attribute of the facility is "hospital", the purpose of use is "medical treatment", and the latitude and the longitude of the position coordinates are "L72" and "L82", respectively. The name of the facility corresponding to the facility ID "003" is "JJJ", the attribute of the facility is "office building", the purpose of use is "work", and the latitude and the longitude of the position coordinates are "L73" and "L83", respectively.

[0084] (Generation section)

[0085] The generation section 22 updates the pattern table Tb3 indicating the action pattern related to the driving of the driver, based on the history record information acquired by the history record information acquisition section 11.

[0086] More specifically, for example, the pattern table Tb3 indicates the correspondence relationship of the driver ID, the purpose of driving the vehicle 1 (hereinafter, also referred to as "driving purpose"), the arrival place of the vehicle 1, and the arrival place coordinates indicating the position of the arrival place. The arrival place coordinates are indicated by, for example, latitude and longitude. In the initial state, the driving purpose, the arrival place, and the arrival place coordinates corresponding to the driver ID are not stored in the pattern table Tb3.

[0087] If the specified update timing, for example, the prescribed time of day comes, the generation section 22 performs the estimation processing of estimating the arrival place of the vehicle 1 for each driver ID using the history record table Tb1 in the storage section 13.

[0088] More specifically, for example, if the update timing comes, the generation section 22 reads out the history record table Tb1 in the storage section 13. Then, the generation section 22 confirms the plurality of acquisition times belonging to the period from 24 hours before the update timing to the update timing by referring to the history record table Tb1.

[0089] In a case where the difference between the certain acquisition time t1 and the acquisition time t2 among the confirmed plurality of acquisition times is greater than the prescribed threshold Th10, the generation section 22 estimates, in the estimation processing, the position information corresponding to the acquisition time t2, that is, the vehicle coordinates as the arrival place, the acquisition time t2 being a time later than the acquisition time t1 and continuous to the acquisition time t1.

[0090] If the arrival place of the vehicle 1 is estimated, the generation section 22 reads out the facility table Tb2 in the storage section 13. Then, the generation section 22 determines the attribute and the use purpose of the facility corresponding to the position coordinates identical to the vehicle coordinates at the acquisition time t2 indicated by the history record table Tb1, as the attribute and the driving purpose of the arrival place, by referring to the facility table Tb2.

[0091] If the attribute and the driving purpose of the arrival place are determined, the generation section 22 reads out the pattern table Tb3 in the storage section 13. Then, the generation section 22 registers the determined attribute and the driving purpose of the arrival place, and the arrival place coordinates indicating the vehicle coordinates of the estimated arrival place in the pattern table Tb3 in correspondence with the driver ID.

[0092] Figure 5 is a drawing illustrating an example of the updated pattern table stored by the risk judgment device according to the embodiment of the present disclosure.

[0093] Referring to Figure 5 In the updated pattern table Tb3, the driver of the driver ID "D1" drives the vehicle 1 to the arrival place "commercial facility" of the latitude "L71" and the longitude "L81" for "shopping". In addition, the driver drives the vehicle 1 to the arrival place "hospital" of the latitude "L72" and the longitude "L82" for "medical treatment". In addition, the driver drives the vehicle 1 to the arrival place "office building" of the latitude "L73" and the longitude "L83" for "work".

[0094] (Judgment section)

[0095] The judgment section 21 performs a judgment process based on the history record information acquired by the history record information acquisition section 11, the judgment process being a process of making a judgment related to the danger, i.e., the potential risk, of the driving of the vehicle 1 by the driver.

[0096] More specifically, for example, the judgment section 21 judges, in the judgment process, the category of the danger that occurs due to the driving by the subject driver and the acquisition time (hereinafter, also referred to as "occurrence time tr") at which the danger occurs, every time the update completion notification R1 from the history record information acquisition section 11 is received.

[0097] (Overtaking)

[0098] For example, the judgment section 21 judges, in the judgment process, the danger of the overtaking in the driving.

[0099] More specifically, for example, the storage section 13 stores a road table Tb4 that indicates the correspondence relationship of the identification information (hereinafter, also referred to as "road ID") for identifying the road, i.e., the road section, on which the vehicle 1 travels, the road coordinates indicating the position of the road, the speed limit, the category of the road, the name of the road, and the azimuth angle of the road. The road coordinates are constituted by a plurality of coordinates, for example, which are indicated by the latitude and the longitude. The road table Tb4 is registered in the storage section 13 by the user in advance, for example.

[0100] Figure 6 is a view that shows an example of a road table stored by the danger judgment device according to the embodiment of the present disclosure.

[0101] Referring to Figure 6 In the road table Tb4, the road coordinates corresponding to the road ID "W1" are the coordinates of "L31, L41" to "L35 to L45", the speed limit is "30 km / h", the category is "general road", the name is "ABC", and the azimuth angle is "120 degrees". The road coordinates corresponding to the road ID "W2" are the coordinates of "L36, L46" to "L39, L49", the speed limit is "60 km / h", the category is "general road", the name is "DEF", and the azimuth angle is "120 degrees".

[0102] The determination section 21 reads out the history table Tb1 and the road table Tb4 from the storage section 13 upon receiving the update completion notification R1 from the history information acquisition section 11. Then, the determination section 21 determines a plurality of position information, i.e., a plurality of vehicle coordinates, corresponding to a plurality of acquisition times indicated by the update completion notification R1, by referring to the history table Tb1.

[0103] Upon determining the plurality of vehicle coordinates, the determination section 21 confirms a speed limit corresponding to a road coordinate including a coordinate closest to each of the determined vehicle coordinates, by referring to the road table Tb4.

[0104] Upon confirming the speed limit for each of the determined vehicle coordinates, the determination section 21 confirms whether a vehicle speed at the acquisition time corresponding to the position information is greater than the speed limit in the determination processing. In a case where the vehicle speed is greater than the determined speed limit, the determination section 21 determines that there is a risk of speeding, and judges the acquisition time as the occurrence time tr. In a case where the vehicle speed is equal to or less than the determined speed limit, the determination section 21 determines that there is no risk of speeding.

[0105] <Speed instability>

[0106] Referring back to Figure 2 and Figure 3 , for example, the determination section 21 determines, in the determination processing, a risk of a phenomenon in which the vehicle speed becomes unstable during driving (hereinafter, also referred to as "speed instability").

[0107] More specifically, for example, the determination section 21 reads out the history table Tb1 upon receiving the update completion notification R1 from the history information acquisition section 11. Then, the determination section 21 determines a plurality of vehicle speeds corresponding to a plurality of acquisition times indicated by the update completion notification R1, by referring to the history table Tb1.

[0108] Upon determining the plurality of vehicle speeds, the determination section 21 calculates an acceleration B1 of the vehicle 1 at an acquisition time t1 based on a vehicle speed at the acquisition time t1 and a vehicle speed at an acquisition time t2, which is an earlier time than the acquisition time t1 and continuous with the acquisition time t1, of the plurality of acquisition times indicated by the update completion notification R1.

[0109] In addition, for example, the determination section 21 calculates an acceleration B2 of the vehicle 1 at the acquisition time t2 based on the vehicle speed at the acquisition time t2 and a vehicle speed at an acquisition time t3, which is an earlier time than the acquisition time t2 and continuous with the acquisition time t2.

[0110] Then, the determination section 21 confirms in the determination processing whether the sign of the acceleration B2 is different from the sign of the acceleration B l.

[0111] In a case where the sign of the acceleration B2 is different from the sign of the acceleration B l, the determination section 21 determines that there is a risk of the vehicle speed being unstable, and determines the corresponding acquisition time, for example, the acquisition time tl, as the occurrence time tr. In a case where the sign of the acceleration B2 is the same as the sign of the acceleration B l, the determination section 21 determines that there is no risk of the vehicle speed being unstable.

[0112] <Reverse>

[0113] Referring again to Figure 2 , Figure 3 and Figure 6 , for example, the determination section 21 determines in the determination processing the risk of the vehicle 1 reversing.

[0114] More specifically, for example, the determination section 21 reads out the history table Tb l in the storage section 13 upon receiving the update completion notification Rl from the history information acquisition section 11. Then, the determination section 21 determines a plurality of position information respectively corresponding to a plurality of acquisition times indicated by the update completion notification Rl by referring to the history table Tb l.

[0115] Upon determining the plurality of position information, the determination section 21 calculates a vehicle azimuth (hereinafter, also referred to as "vehicle azimuth") of the vehicle 1 at the acquisition time t4, which is one of the plurality of acquisition times indicated by the update completion notification Rl, based on the vehicle coordinates P4 corresponding to the acquisition time t4 and the vehicle coordinates P5 corresponding to another acquisition time t5 continuous to the acquisition time t4.

[0116] The determination section 21 reads out the road table Tb4 in the storage section 13 upon calculating the vehicle azimuth. Then, the determination section 21 confirms in the determination processing whether the absolute value of the difference between the determined azimuth of the road corresponding to the road coordinates including the coordinates closest to the vehicle coordinates P4 and the calculated vehicle azimuth is larger than a prescribed threshold Thl upon determining the azimuth of the road by referring to the road table Tb4.

[0117] In a case where the absolute value of the difference between the determined azimuth of the road and the calculated vehicle azimuth is larger than the threshold Thl, the determination section 21 determines that there is a risk of reversing, and determines the corresponding acquisition time, for example, the acquisition time t4, as the occurrence time tr. On the other hand, in a case where the absolute value is smaller than the threshold Thl, the determination section 21 determines that there is no risk of reversing.

[0118] <Deviation>

[0119] For example, the determination section 21 makes a determination related to the risk of the phenomenon in which the vehicle deviates from the road during driving (hereinafter, also referred to as "deviation") in the determination processing.

[0120] More specifically, for example, the determination section 21 reads out the history record table Tb1 and the road table Tb4 in the storage section 13 upon receiving the update completion notification R1 from the history record information acquisition section 11. Then, the determination section 21 determines a plurality of vehicle coordinates corresponding to the plurality of acquisition times indicated by the update completion notification R1 respectively by referring to the history record table Tb1.

[0121] Upon determining the plurality of vehicle coordinates, the determination section 21 determines a road coordinate group including the coordinate closest to the vehicle coordinate for each position information by referring to the road table Tb4. Then, the distance Y between the vehicle coordinate and each coordinate included in the determined road coordinate group is calculated.

[0122] The determination section 21 confirms whether at least any one of the plurality of calculated distances Y is larger than a prescribed threshold value Th2.

[0123] In a case where at least any one of the plurality of calculated distances Y is larger than the threshold value Th2, the determination section 21 determines that there is a risk of deviation, and determines the corresponding acquisition time as the occurrence time tr. On the other hand, in a case where all of the plurality of calculated distances Y are smaller than the threshold value Th2, the determination section 21 determines that there is no risk of deviation.

[0124] <Snaking driving>

[0125] For example, the determination section 21 makes a determination related to the risk of snaking driving in the determination processing. More specifically, for example, the determination section 21 reads out the history record table Tb1 in the storage section 13 upon receiving the update completion notification R1 from the history record information acquisition section 11. Then, the determination section 21 calculates the vehicle azimuth angle for each acquisition time by the same method as the above-described processing of calculating the vehicle azimuth angle after determining a plurality of position information corresponding to the plurality of acquisition times indicated by the update completion notification R1 respectively by referring to the history record table Tb1. The determination section 21 generates vehicle azimuth angle data indicating the time series change of the vehicle azimuth angle.

[0126] The determination section 21 confirms whether the positive and negative signs Fl of the vehicle azimuth angle at a certain acquisition time and the positive and negative signs F2 of the vehicle azimuth angle at another acquisition time continuous with the acquisition time are different in the generated time series of vehicle azimuth angle data.

[0127] In a case where the positive and negative signs Fl and F2 are different, the judging section 21 judges that there is a risk of snake driving, and judges the corresponding acquisition time as the occurrence time tr. On the other hand, in a case where the positive and negative signs Fl and F2 are the same, the judging section 21 judges that there is no risk of snake driving.

[0128] <Lost driving>

[0129] For example, the judging section 21 makes a judgment related to a risk of the driver getting lost in driving (hereinafter, also referred to as "lost driving") in the judgment processing.

[0130] More specifically, for example, the history record information acquisition section 11 calculates a measured value of a required time in a case where the driver drives the vehicle 1 from the first place Ql to the second place Q2, based on the vehicle information group from the in-vehicle device 201, in addition to the processing of updating the history record table Tb 1. Note that the notations of "first" and "second" do not mean a priority order.

[0131] More specifically, for example, the storage section 13 also stores a place list indicating coordinates of the first place Ql and coordinates of the second place Q2.

[0132] The history record information acquisition section 11, upon receiving the vehicle information group from the in-vehicle device 201, confirms whether or not the plurality of position information included in the vehicle information group includes position information Pl l indicating the same vehicle coordinates as the coordinates of the first place Ql indicated by the place list, and position information P12 indicating the same vehicle coordinates as the coordinates of the second place Q2 indicated by the place list.

[0133] In a case where the plurality of position information included in the vehicle information group from the in-vehicle device 201 includes the position information Pl l and P12, the history record information acquisition section 11 determines an acquisition time tll corresponding to the position information Pl l, and an acquisition time t12 corresponding to the position information P12.

[0134] Upon determining the acquisition times tll and t12, the history record information acquisition section 11 calculates a value obtained by subtracting the acquisition time tll from the acquisition time t12 as a measured value Nl of the required time. Then, the history record information acquisition section 11 includes the calculated measured value Nl in the update completion notification Rl and outputs it to the judging section 21.

[0135] The storage section 13 also stores a presumed value N2 of the required time in a case where the vehicle 1 travels from the first place Ql to the second place Q2.

[0136] For example, the determination section 21 performs a determination process related to the danger of the lost driving, based on the measured value Nl calculated by the history information acquisition section 11 and the estimated value N2 stored in the storage section 13.

[0137] Specifically, for example, the determination section 21 confirms whether or not the difference between the measured value Nl included in the update completion notification Rl and the estimated value N2 stored in the storage section 13 is larger than a prescribed threshold value Th3, upon receiving the update completion notification Rl from the history information acquisition section 11.

[0138] In a case where the difference between the measured value Nl and the estimated value N2 is larger than the threshold value Th3, the determination section 21 determines that there is a danger of the lost driving, and judges the corresponding acquisition time, for example, the acquisition time tll, as the occurrence time tr. On the other hand, in a case where the difference between the measured value Nl and the estimated value N2 is smaller than the threshold value Th3, the determination section 21 determines that there is no danger of the lost driving.

[0139] <Unnatural Driving>

[0140] For example, the determination section 21 performs a determination process related to the danger of the unnatural driving in the determination process.

[0141] More specifically, for example, the history information acquisition section 11 acquires history information including first position information and second position information, the first position information indicating a history of the position of the vehicle 1 in a case where the driver drove the vehicle 1 during a first period, and the second position information indicating a history of the position of the vehicle 1 in a case where the driver drove the vehicle 1 during a second period later than the first period. The history information acquisition section 11 updates the history table Tb l in the storage section 13 upon acquiring the history information.

[0142] For example, the determination section 21 performs a determination process related to the danger of the unnatural driving, based on the first position information and the second position information acquired by the history information acquisition section 11.

[0143] Specifically, for example, the determination section 21 estimates the arrival place of the vehicle 1 upon receiving the update completion notification Rl from the history information acquisition section 11, similarly to the estimation process by the generation section 22 described above.

[0144] Upon estimating the arrival place, the determination section 21 reads out the pattern table Tb3 in the storage section 13. Then, the determination section 21 confirms whether or not the estimated arrival place is registered in the pattern table Tb3 by referring to the pattern table Tb3.

[0145] In a case where the estimated arrival place is not registered in the pattern table Tb3, the judging section 21 judges that there is a risk of unnatural driving, and judges the corresponding acquisition time as the occurrence time tr. On the other hand, in a case where the estimated arrival place is registered in the pattern table Tb3, the judging section 21 judges that there is no risk of unnatural driving.

[0146] <Misoperation of accelerator>

[0147] Referring back to Figure 2 and Figure 3 , for example, the judging section 21 performs, in the judgment processing, a judgment relating to the risk of misoperation of the accelerator in the parking of the vehicle 1.

[0148] More specifically, for example, the history information acquiring section 11 acquires history information including a history of the position of the shift lever and a history of the engine speed in the parking of the vehicle 1. The history information acquiring section 11 updates the history table Tb1 in the storage section 13 when the history information is acquired.

[0149] For example, the judging section 21 performs, on the basis of the history of the position of the shift lever and the history of the engine speed included in the history information acquired by the history information acquiring section 11, the judgment processing relating to the risk of misoperation of the accelerator.

[0150] More specifically, for example, the judging section 21 confirms, in the judgment processing, whether the history of the position of the shift lever and the history of the engine speed included in the history information acquired by the history information acquiring section 11 satisfy a prescribed condition C1.

[0151] In the present embodiment, for example, the prescribed condition C1 is that, in the parking of the vehicle 1, the position of the shift lever is the neutral position N and the engine speed is 2000 rpm or more.

[0152] More specifically, for example, the judging section 21 reads out the history table Tb1 in the storage section 13 upon receiving the update completion notification R1 from the history information acquiring section 11. Then, the judging section 21 determines a plurality of measurement information corresponding to a plurality of acquisition times shown in the update completion notification R1 respectively by referring to the history table Tb1.

[0153] Then, the judging section 21 confirms, for each of the determined measurement information, whether the position of the shift lever and the engine speed satisfy the prescribed condition C1.

[0154] In a case where the position of the shift lever and the engine speed indicated by at least any one of the determined plurality of measurement information satisfy the prescribed condition C1, the determination section 21 determines that there is a risk of the accelerator being mistakenly depressed, and determines the corresponding acquisition time as the occurrence time tr. On the other hand, in a case where the position of the shift lever and the engine speed indicated by each of the determined measurement information do not satisfy the prescribed condition C1, the determination section 21 determines that there is no risk of the accelerator being mistakenly depressed.

[0155] <Misoperation>

[0156] For example, the determination section 21 performs determination related to misoperation of the hazard warning light and the turn signal by the driver in the determination processing.

[0157] More specifically, for example, the history record information acquisition section 11 acquires history record information including a lighting history record of the hazard warning light of the vehicle 1 and a motion history record of the turn signal lever of the vehicle 1. The history record information acquisition section 11 updates the history record table Tb1 in the storage section 13 when acquiring this history record information.

[0158] For example, the determination section 21 performs determination processing related to misoperation of the hazard warning light and the turn signal by the driver on the basis of the lighting history record of the hazard warning light and the operation history record of the turn signal lever included in the history record information acquired by the history record information acquisition section 11.

[0159] Specifically, for example, the determination section 21 confirms in the determination processing whether the lighting history record of the hazard warning light and the operation history record of the turn signal lever included in the history record information acquired by the history record information acquisition section 11 satisfy a prescribed condition C2.

[0160] In the present embodiment, for example, the prescribed condition C2 is that, at a certain acquisition time, the hazard warning light is lit and the turn signal is in motion.

[0161] Specifically, for example, the determination section 21 reads out the history record table Tb1 upon receiving the update completion notification R1 from the history record information acquisition section 11. Then, the determination section 21 determines a plurality of measurement information corresponding to a plurality of acquisition times indicated by the update completion notification R1 by referring to the history record table Tb1.

[0162] Then, the determination section 21 confirms whether the lighting history record of the hazard warning light and the motion history record of the turn signal satisfy the prescribed condition C2 for each of the determined measurement information.

[0163] In a case where the light-up history of the hazard warning lights and the operation history of the turn signal lights shown in at least any of the determined pieces of measurement information satisfy a prescribed condition C2, the determination section 21 determines that there is a risk of a misoperation, and determines the corresponding acquisition time as the occurrence time tr. On the other hand, in a case where the light-up history of the hazard warning lights and the operation history of the turn signal lights shown in each of the determined pieces of measurement information do not satisfy the prescribed condition C2, the determination section 21 determines that there is no risk of a misoperation.

[0164] In addition, for example, the determination section 21 performs determination relating to a misoperation of the hazard warning lights in the travel of the vehicle 1 in the determination processing.

[0165] More specifically, for example, the history information acquisition section 11 acquires history information including the light-up history of the hazard warning lights of the vehicle 1 in the travel of the vehicle 1 and the history of the speed of the vehicle 1. The history information acquisition section 11 updates the history table Tb1 in the storage section 13 when the history information is acquired.

[0166] For example, the determination section 21 performs determination processing relating to a misoperation of the hazard warning lights on the basis of the light-up history of the hazard warning lights and the history of the speed of the vehicle 1 included in the history information acquired by the history information acquisition section 11.

[0167] More specifically, for example, the determination section 21 confirms in the determination processing whether the light-up history of the hazard warning lights and the history of the vehicle speed included in the history information acquired by the history information acquisition section 11 satisfy a prescribed condition C3.

[0168] In the present embodiment, for example, the prescribed condition C3 is that the hazard warning lights are lit and the vehicle speed is equal to or higher than a prescribed threshold value Th4.

[0169] More specifically, for example, the determination section 21 reads out the history table Tb1 in the storage section 13 when the update completion notification R1 from the history information acquisition section 11 is received. Then, the determination section 21 determines a plurality of pieces of measurement information corresponding to a plurality of acquisition times shown in the update completion notification R1 by referring to the history table Tb1.

[0170] Then, the determination section 21 confirms whether the prescribed condition C3 is satisfied for each of the determined pieces of measurement information.

[0171] In a case where the light-on history of the hazard warning lamp and the vehicle speed indicated by at least any of the determined pieces of measurement information satisfy a prescribed condition C3, the determination section 21 determines that there is a risk of a misoperation, and determines the corresponding acquisition time as the occurrence time tr. On the other hand, in a case where the light-on history of the hazard warning lamp and the vehicle speed indicated by each of the determined pieces of measurement information do not satisfy the prescribed condition C3, the determination section 21 determines that there is no risk of a misoperation.

[0172] <Risk Table>

[0173] For example, the storage section 13 stores a risk table Tb5 that indicates the correspondence relationship of the vehicle ID, the driver ID, the occurrence time tr, the category of the risk, the position information, the speed information indicating the vehicle speed of the vehicle 1, and the image information. In an initial state, the driver ID, the occurrence time tr, the category of the risk, the position information, the speed information, and the image information corresponding to the vehicle ID are not registered in the risk table Tb5.

[0174] In a case where it is determined in the determination processing that the driver is dangerous in driving the vehicle 1, the determination section 21 updates the risk table Tb5.

[0175] More specifically, for example, in a case where it is determined in the determination processing that the driver is dangerous in driving the vehicle 1, the determination section 21 determines the vehicle ID, the driver ID, the position information, the speed information, and the image information corresponding to the occurrence time tr determined in the determination processing by referring to the history table Tb1 indicated by Figure 3

[0176] If the vehicle ID, the driver ID, the position information, the speed information, and the image information corresponding to the occurrence time tr are determined, the determination section 21 reads the risk table Tb5 in the storage section 13. Then, the determination section 21 registers the determined vehicle ID, driver ID, position information, speed information, and image information in the risk table Tb5 in correspondence with the category of the risk and the occurrence time tr determined in the determination processing.

[0177] Figure 7 is a drawing illustrating an example of a risk table generated by a risk determination device according to an embodiment of the present disclosure.

[0178] Referring to Figure 7 ​In the danger table Tb5, the driver with the driver ID "D1" who drives the vehicle 1 with the vehicle ID "V1" has the danger of "exceeding the speed limit" at the occurrence time "t3", the latitude and the longitude of the vehicle coordinate corresponding to the occurrence time "t3" are "L13" and "L23", the vehicle speed is "100 km / h", and the image information is "G3". In addition, the driver has the danger of "going against the traffic" at the occurrence time "t2", the latitude and the longitude of the vehicle coordinate corresponding to the occurrence time "t2" are "L12" and "L22", the vehicle speed is "80 km / h", and the image information is "G2".

[0179] The determination section 21 notifies the service information acquisition section 23 and the notification section 24 of the driver ID corresponding to the category of the danger determined in the determination process when the danger table Tb5 is updated.

[0180] (Service information acquisition section)

[0181] For example, the service information acquisition section 23 acquires service information indicating a service that can be provided in a case where the driver does not drive the vehicle 1.

[0182] Figure 8 FIG. 6 is a diagram showing an example of a service providing table held by the danger determination device according to the embodiment of the present disclosure.

[0183] Referring to Figure 2 and Figure 8 , the storage section 13 further stores a service providing table Tb6. The service providing table Tb6 indicates a correspondence relationship between identification information (hereinafter, also referred to as "provider ID") for identifying a service provider and service information. The service providing table Tb6 is, for example, registered in the storage section 13 by the user in advance.

[0184] In the service providing table Tb6, the service information corresponding to the provider ID "S1" includes the purpose of the service "shopping", the content of the service "door-to-door sales", the name of the person in charge "DDD", the site URL (Uniform Resource Locator) where the service is provided, and the range of the service "range Al". The service information corresponding to the provider ID "S2" includes the purpose of the service "shopping", the content of the service "clothes sales", the name of the person in charge "EEE", the site URL where the service is provided, and the range of the service "range A2". The service information corresponding to the provider ID "S3" includes the purpose of the service "medical treatment", the content of the service "network diagnosis", the name of the person in charge "FFF", the site URL where the service is provided, and the range of the service "range A3".

[0185] The service information acquisition section 23 reads out the mode table Tb3 and the service provision table Tb6 in the storage section 13 upon receiving the notification from the determination section 21. Then, the service information acquisition section 23 determines one or more driving purposes corresponding to the driver ID notified by the determination section 21 by referring to the mode table Tb3. Here, the service information acquisition section 23 determines one driving purpose.

[0186] Upon determining the driving purpose, the service information acquisition section 23 determines service information including the same purpose as the driving purpose by referring to the service provision table Tb6. Then, the service information acquisition section 23 outputs the determined service information to the notification section 24.

[0187] (Notification section)

[0188] For example, in a case where it is determined in the determination processing by the determination section 21 that the driver is dangerous in driving the vehicle 1, the notification section 24 performs a danger notification process of notifying the danger information indicating the determination result to a first notification object different from the driver, and performs a service notification process of notifying the service information acquired by the service information acquisition section 23 to a second notification object different from the driver. In the present embodiment, the first notification object and the second notification object are the same notification object U1.

[0189] More specifically, for example, the danger information includes flag information that issues a request to the notification object U1. The danger information is, for example, pre-registered in the storage section 13 by the user.

[0190] The notification section 24 acquires the danger information from the storage section 13 upon receiving the notification from the determination section 21 and receiving the service information from the service information acquisition section 23.

[0191] The storage section 13 also stores a notification table Tb7 indicating a correspondence relationship of the driver ID, information related to the notification object (hereinafter, also referred to as "notification object information"). The notification table Tb7 is, for example, pre-registered in the storage section 13 by the user. The notification table Tb7 is an example of the correspondence information.

[0192] Figure 9 is a drawing showing an example of a notification table held by the danger determination device related to the embodiment of the present disclosure.

[0193] Reference Figure 9In the notification table Tb7, the notification target information corresponding to the driver ID "D1" includes the attribute of the notification target "child", the name of the notification target "AAA", and the telephone number and the email address as the contact information. The notification target information corresponding to the driver ID "D2" includes the attribute of the notification target "city office staff", the name of the notification target "BBB", and the telephone number and the email address as the contact information. The notification target information corresponding to the driver ID "D3" includes the attribute of the notification target "doctor", the name of the notification target "CCC", and the telephone number and the email address as the contact information.

[0194] Referring again to Figure 2 For example, the notification information acquisition section 25 acquires the notification table Tb7. The notification section 24 performs the danger notification process and the service notification process on the notification target U1 corresponding to the driver ID acquired by the history record information acquisition section 11, on the basis of the notification table Tb7 acquired by the notification information acquisition section 25.

[0195] More specifically, for example, the notification section 24 notifies the driver ID notified by the judgment section 21 to the notification information acquisition section 25 when receiving the notification from the judgment section 21 and receiving the service information from the service information acquisition section 23.

[0196] The notification information acquisition section 25 reads out the notification table Tb7 when receiving the notification from the notification section 24. Then, the notification information acquisition section 25 outputs the determined notification target information to the notification section 24 after determining the notification target information corresponding to the driver ID indicated by the notification by referring to the notification table Tb7.

[0197] For example, the notification section 24 confirms the email address indicated by the contact information included in the notification target information when receiving the notification target information from the notification information acquisition section 25. The notification section 24 sends an email in the HTML (HyperText Markup Language) form including the generated danger information and the service information from the service information acquisition section 23, with the email address as the transmission destination.

[0198] [Action flow]

[0199] Figure 10 is a flowchart showing an action process of the danger judgment device involved in the embodiment of the present disclosure when performing the danger notification process. Figure 10 A process performed by the danger judgment device 101 when performing the danger notification process upon receiving the vehicle information group from one vehicle-mounted device is shown representatively.

[0200] Referring to Figure 10First, the danger judgment device 101 receives a vehicle information group from the in-vehicle device 201 (step S101).

[0201] Next, the danger judgment device 101 updates the history record table Tb1 in the storage section 13 using the received vehicle information group. For example, as described above, the danger judgment device 101 registers the acquired history record information, vehicle ID, and driver ID in the history record table Tb1 in correspondence with each acquisition time included in the received vehicle information group (step S102).

[0202] The danger judgment device 101 receives a new vehicle information group from the in-vehicle device 201 (step S101) and updates the history record table Tb1 using the vehicle information group (step S102) until the designated update timing comes (NO in step S103).

[0203] Next, if the update timing comes (YES in step S103), the danger judgment device 101 updates the pattern table Tb3 indicating the action pattern related to the driver's driving using the updated history record table Tb1. For example, as described above, the danger judgment device 101 estimates the arrival place of the vehicle 1 using the updated history record table Tb1 and determines the attribute of the arrival place and the driver's driving purpose using the facility table Tb2. Then, the danger judgment device 101 registers the determined attribute of the arrival place and the driver's driving purpose, and the arrival place coordinates indicating the position of the arrival place in the pattern table Tb3 in the storage section 13 in correspondence with the driver ID (step S104).

[0204] Next, the danger judgment device 101 performs a judgment process for each driver ID, the judgment process being a process of making a judgment related to the danger of the driver's driving of the vehicle 1 (step S105).

[0205] Next, in a case where it is judged in the judgment process that the driver's driving of the vehicle 1 is dangerous (YES in step S106), the danger judgment device 101 acquires service information that can be provided in a case where the driver does not drive the vehicle 1. For example, as described above, the danger judgment device 101 acquires the service information by referring to the pattern table Tb3 and the service provision table Tb6 in the storage section 13 (step S107).

[0206] Next, the danger judgment device 101 notifies the notification object U1 other than the driver of the danger information indicating the result of the judgment in the judgment processing and the acquired service information. For example, as described above, the danger judgment device 101 determines the contact method of the notification object U1 corresponding to the driver ID by referring to the notification table Tb7 in the storage section 13. Then, the danger judgment device 101 notifies the danger target information and the service information to the determined contact method (step S108).

[0207] On the other hand, in the judgment processing, in the case where the judgment of the danger of the driver's driving of the vehicle 1 is negative (NO in step S106), the danger judgment device 101 saves the new vehicle information group received from the in-vehicle device 201 in the storage section 13 (step S101).

[0208] Note that, the danger judgment device 101 can be a structure that performs the danger notification processing and the service notification processing for each driver ID in the case where the vehicle information group is received from a plurality of in-vehicle devices 201. Figure 10

[0209] In addition, in the danger judgment system 501 according to the embodiment of the present disclosure, the danger judgment device 101 can be a structure that notifies the notification object U1 of the danger information indicating the category of the danger judged in the judgment processing.

[0210] In addition, in the danger judgment system 501 according to the embodiment of the present disclosure, the danger judgment device 101 is a structure that performs the danger notification processing and the service notification processing in the case where the driver's driving of the vehicle 1 is judged to be dangerous in the judgment processing, but is not limited thereto. The danger judgment device 101 can be a structure that does not perform the service notification processing.

[0211] In addition, in the danger judgment system 501 according to the embodiment of the present disclosure, the danger judgment device 101 is a structure that notifies the danger information and the service information to the same notification object U1, but is not limited thereto. The danger judgment device 101 can be a structure that notifies the danger information and the service information to different notification objects. The notification object U1 can be the driver.

[0212] ​In addition, in the dangerousness determination system 501 according to the embodiment of the present disclosure, the dangerousness determination device 101 is configured to perform the dangerousness notification process and the service notification process when it is determined in the determination process that there is a dangerousness such as overspeeding, but is not limited thereto. It can be configured that the dangerousness determination device 101 calculates a probability that the driver performs driving accompanied by dangerousness such as overspeeding in the determination process, and performs the dangerousness notification process and the service notification process when the calculated probability is equal to or higher than a predetermined threshold.

[0213] In addition, in the dangerousness determination system 501 according to the embodiment of the present disclosure, the dangerousness determination device 101 is configured to determine dangerousness of overspeeding, unstable vehicle speed, reverse driving, deviation, snake driving, lost driving, unnatural driving, misfooting of an accelerator, and misoperation in the determination process, but is not limited thereto. It can be configured that the dangerousness determination device 101 determines a part of these dangerousness in the determination process. In addition, it can be configured that the dangerousness determination device 101 determines other dangerousness different from these dangerousness in the determination process.

[0214] In addition, in the dangerousness determination system 501 according to the embodiment of the present disclosure, the dangerousness determination device 101 is configured to perform the dangerousness notification process and the service notification process on the notification target U1 corresponding to the driver ID acquired from the in-vehicle device 201 on the basis of the notification table Tb7 in the storage section 13, but is not limited thereto. It can be configured that the dangerousness determination device 101 performs the dangerousness notification process and the service notification process on a predetermined notification target regardless of the driver ID.

[0215] In addition, it can be configured that a part or all of the functions of the dangerousness determination device 101 according to the embodiment of the present disclosure is provided by cloud computing. It can be configured that the dangerousness determination device 101 according to the embodiment of the present disclosure is a cloud server configured by a plurality of servers.

[0216] It should be understood that the above-described embodiments are illustrative in all aspects and are not restrictive. The scope of the present invention is not shown by the above description but by the claims, and is intended to include all modifications within the meaning and range equivalent to the claims.

[0217] Each processing (each function) of the above-described embodiments is realized by a processing circuitry (Circuitry) including one or a plurality of processors. The processing circuitry can also be configured by an integrated circuit in which one or a plurality of memories, various analog circuits, various digital circuits, and the like are combined in addition to the one or a plurality of processors. The one or a plurality of memories store programs (commands) that cause the one or a plurality of processors to execute each processing. The one or a plurality of processors can execute each processing in accordance with the programs read out from the one or a plurality of memories, or can execute each processing in accordance with a logic circuit designed to execute each processing in advance. The processor can be various processors suitable for the control of a computer, such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a DSP (Digital Signal Processor), an FPGA (Field Programmable Gate Array), and an ASIC (Application Specific Integrated Circuit). Note that a plurality of physically separate processors can also execute each processing in cooperation with each other. For example, the processors mounted in each of a plurality of physically separate computers can execute each processing in cooperation with each other via a network such as a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, and the like. The program can be installed in the memory from an external server device or the like via the network, or can be circulated in a state stored in a recording medium such as a CD-ROM (Compact Disc-Read Only Memory), a DVD-ROM (Digital Versatile Disk-Read Only Memory), and a semiconductor memory, and installed in the memory from the recording medium.

[0218] The above description includes the following features noted below.

[0219] [Note 1]

[0220] A dangerousness determination device includes: a history record information acquisition section that acquires history record information indicating a history record of an action of a driver in a vehicle; a determination section that performs a determination process based on the history record information, the determination process being a process of determining a dangerousness of driving of the driver with respect to the vehicle; and The notification section performs a dangerousness notification process of notifying a first notification object different from the driver of dangerousness information indicating a result of the judgment, in a case where the judgment process judges that the driving by the driver is dangerous, The dangerousness judgment device further includes: a service information acquisition section that acquires service information indicating a service based on the history record information, that is, the service that can be provided in a case where the driver does not drive the vehicle, The notification section performs the dangerousness notification process and notifies the second notification object different from the driver of the service information acquired by the service information acquisition section, in a case where the judgment process judges that the driving by the driver is dangerous, The service information acquisition section acquires the service information based on correspondence information indicating a correspondence relationship between a driving purpose of the driver and a destination of the vehicle.

[0221] [Postscript 2]

[0222] A dangerousness judgment device, includes a processing circuit, The processing circuit acquires history record information indicating an action history record of a driver in a vehicle, performs a judgment process based on the history record information, the judgment process being a process of judging a dangerousness of driving of the driver with respect to the vehicle, The notification section performs a dangerousness notification process of notifying a first notification object different from the driver of dangerousness information indicating a result of the judgment, in a case where the judgment process judges that the driving by the driver is dangerous,

[0223] Explanation of Reference Numerals

[0224] 1 Vehicle

[0225] 11 History record information acquisition section

[0226] 12 Processing section

[0227] 13 Storage section

[0228] 21 Judgment section

[0229] 22 Generation section

[0230] 23 Service information acquisition section

[0231] 24 Notification section

[0232] 25 Notification information acquisition section

[0233] 101 danger judgment device

[0234] 151 external network

[0235] 201 in-vehicle device

[0236] 501 danger judgment system

[0237] Tb1 history record table

[0238] Tb2 facility table

[0239] Tb3 mode table

[0240] Tb4 road table

[0241] Tb5 danger table

[0242] Tb6 service provision table

[0243] Tb7 notification table

Claims

1. A dangerousness determination device comprising: a history record information acquisition section that acquires history record information indicating a history record of an action of a driver in a vehicle; a determination section that performs determination processing based on the history record information, the determination processing being processing that performs determination related to dangerousness of driving of the vehicle by the driver; and a notification section that, in a case where it is determined in the determination processing that the driving by the driver is dangerous, performs dangerousness notification processing that notifies a first notification target of dangerousness information indicating a determination result.

2. The dangerousness determination device according to claim 1, wherein the first notification target is different from the driver.

3. The dangerousness determination device according to claim 1 or 2, wherein the dangerousness determination device comprises a service information acquisition section that acquires service information indicating a service that can be provided in a case where the driver does not drive the vehicle, and the notification section notifies the second notification target, which is different from the driver, of the service information.

4. The dangerousness determination device according to claim 3, wherein the second notification target is the same as the first notification target.

5. The dangerousness determination device according to any one of claims 1 to 4, wherein the history record information includes a measured value of a required time in a case where the driver drives the vehicle from a first place to a second place, and the determination section performs the determination processing based on the measured value and an estimated value of a required time in a case where the vehicle travels from the first place to the second place.

6. The dangerousness determination device according to any one of claims 1 to 5, wherein the history record information includes first position information indicating a history record of a position of the vehicle in a case where the driver drives the vehicle during a first period, and second position information indicating a history record of a position of the vehicle in a case where the driver drives the vehicle during a second period later than the first period, and the determination section performs the determination processing based on the first position information and the second position information.

7. The dangerousness determination device according to any one of claims 1 to 6, wherein the history record information includes a history record of a position of a shift lever of the vehicle in a case where the vehicle is parked, and a history record of a rotational speed of a prime mover mounted on the vehicle, and the determination section performs the determination processing based on the history record of the position of the shift lever and the history record of the rotational speed.

8. The dangerousness determination device according to any one of claims 1 to 7, wherein the history record information includes a history record of lighting of a danger warning lamp of the vehicle, and a history record of an operation of a steering lamp control lever of the vehicle, and the determination section performs the determination processing based on the history record of lighting and the history record of operation.

9. The dangerousness determination device according to any one of claims 1 to 8, wherein ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ The history record information includes a history record of a dangerous warning light of the vehicle, a history record of a speed of the vehicle, and a history record of an action of a driver of the vehicle, The judging section performs the judging process based on the history record and the history record of the speed.

10. The danger judging device according to any one of claims 1 to 9, wherein The danger judging device further includes a correspondence information acquiring section that acquires correspondence information indicating a correspondence relationship between the identification information of the driver and the first notification target, The history record information acquiring section acquires the history record information and the identification information, The notifying section performs the danger notifying process of notifying the danger to the first notification target corresponding to the identification information based on the correspondence information.

11. A danger judging method that is a danger judging method in a danger judging device, the danger judging method comprising the steps of: acquiring history record information indicating a history record of an action of a driver in a vehicle; performing a judging process based on the history record information, the judging process being a process of making a judgment related to a danger of driving of the vehicle by the driver; and when it is judged in the step of performing the judging process that the driving by the driver is dangerous, performing a danger notifying process of notifying danger information indicating a result of the judgment to a first notification target.

12. The danger judging method according to claim 11, wherein The first notification target is different from the driver.

13. A danger judging program that is a danger judging program used in a danger judging device, The danger judging program is used to cause a computer to function as: a history record information acquiring section that acquires history record information indicating a history record of an action of a driver in a vehicle; a judging section that performs a judging process based on the history record information, the judging process being a process of making a judgment related to a danger of driving of the vehicle by the driver; and a notifying section that, when it is judged in the judging process that the driving by the driver is dangerous, performs a danger notifying process of notifying danger information indicating a result of the judgment to a first notification target.

14. The danger judging program according to claim 13, wherein The first notification target is different from the driver. ​

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