JP6201603B2 - Information management program, information management method, and information processing apparatus - Google Patents

Description

  The present invention relates to an information management program, an information management method, and an information processing apparatus.

Conventionally, the operation status of a running vehicle, such as acceleration / deceleration such as vehicle travel distance, travel speed, sudden start, sudden acceleration, and sudden deceleration, is associated with position information obtained by the GPS (Global Positioning System) function. A vehicle-mounted operation recording device that records information is known. The operation status recorded by the operation recording device is, for example, an information processing device such as a PC (Personal Computer) or a server such as a management center that manages the operation of the vehicle via a portable recording medium or the communication function of the operation recording device. To be collected. The operation statuses collected from a plurality of vehicles are registered in an information processing apparatus such as a management center that manages the operation of the vehicles.

  In the information processing device, for example, a dangerous state such as a sudden brake in the travel route has occurred from the map information stored and held in advance and the operation status data recorded in association with the position information of the traveling vehicle. Identify the point of occurrence. The identified occurrence point of the dangerous state is totaled in association with map information including a travel route, for example, according to the occurrence frequency, and is registered as a dangerous state frequent occurrence zone. The information related to the registered dangerous state frequent occurrence zone is presented, for example, to a vehicle equipped with an operation recording device or the like via an information processing device. In the driving vehicle of the vehicle that has received the presentation, for example, a dangerous state such as sudden braking can be recognized before the traveling vehicle passes through the registered dangerous state frequent occurrence zone. The safety when passing through the zone can be increased.

  In addition, the following patent documents exist as prior art documents in which technologies related to the technologies described in this specification are described.

JP 2003-123185 A JP 2002-222491 A

  The above-described detection of a dangerous state such as a sudden brake on the travel route is performed based on data on different operation statuses collected from a plurality of vehicles.

  By the way, for example, a plurality of vehicles may be involved in an event in which one sudden braking occurs, such as the occurrence of multiple braking. If the sudden braking information for each of a plurality of vehicles related to one sudden braking event is counted as the number of occurrences, the number of occurrences for the identified occurrence point of the sudden brake or the like is superimposed. As a result, in the processing of the dangerous state frequent occurrence zone, although it is one sudden braking occurrence event, the occurrence frequency becomes high and there is a possibility that it is erroneously recognized as the dangerous state frequent occurrence zone.

  In one aspect, an object of the present invention is to provide a technique for improving detection accuracy of a dangerous point on a route.

The above technique can be exemplified by the configuration of the following information management program. In other words, the information management program used for counting the number of occurrences of the dangerous state for the vehicle, the first time when the dangerous state occurs in the first vehicle, the first occurrence location, Extracting the second time and the second place where the dangerous state occurred in the second vehicle, the extracted first time and the second time are within a predetermined time width, and When it is detected that the occurrence location of 1 and the second occurrence location are within a predetermined distance range, the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle are integrated to 1 Cause the process to count as one dangerous state occurs.

  According to the information management program, it is possible to provide a technique for improving the detection accuracy of a dangerous point on a route.

It is a figure which illustrates the information processing system of this embodiment. It is a figure explaining the generation | occurrence | production state of the multiple brake which a some vehicle concerns with respect to the event which one sudden brake generate | occur | produces. It is a figure which illustrates the hardware constitutions of the information processing apparatus of this embodiment. It is a figure which shows the example of a display of the dangerous state frequent occurrence zone information produced | generated with the information processing apparatus of this embodiment. It is a figure which illustrates a dangerous state frequent occurrence zone table. It is a flowchart which illustrates the dangerous state frequent occurrence point analysis process of this embodiment. It is a figure explaining the notification example of the information of the dangerous state frequent occurrence zone of this embodiment. It is a figure explaining the notification example of the information of the dangerous state frequent occurrence zone of this embodiment.

  Hereinafter, an information processing system according to an embodiment will be described with reference to the drawings. The configuration of the following embodiment is an exemplification, and is not limited to the configuration of the information processing system.

Hereinafter, an information processing system according to an embodiment will be described with reference to FIGS. 1 to 8.
<Example>
〔System configuration〕
FIG. 1 illustrates an information processing system according to this embodiment. The information processing system 1 illustrated in FIG. 1 has, for example, a function such as an operation management support system that collects operation statuses of a plurality of vehicles and presents an occurrence point where a dangerous state such as sudden braking occurs as a dangerous state frequent occurrence zone. Have. The operation status includes, for example, information indicating the vehicle state during travel such as the travel distance, travel speed, sudden start, sudden acceleration, sudden deceleration, etc. of the vehicle. The operation status is recorded in association with, for example, position information of a running vehicle acquired by a GPS (Global Positioning System) function or the like.

In the information processing system 1 illustrated in FIG. 1, for example, the information processing apparatus 10 records the operation status of a running vehicle recorded by an operation recording apparatus mounted on the vehicle, on a portable recording medium or an operation recording apparatus. Collect via communication function. Then, the information processing apparatus 10 identifies the occurrence point where a dangerous state such as a sudden brake on the travel route has occurred, based on the map information and the like that are stored and held in advance and the data of the operation status. The identified occurrence point of the dangerous state is registered as a dangerous state frequent occurrence zone in association with, for example, map information including a travel route according to the occurrence frequency. The information related to the registered dangerous state frequent occurrence zone is presented, for example, to the management device 13 for managing the operation of the transportation company and the operation recording device 12 mounted on the vehicle via the information processing system 1. Information relating to the dangerous state frequent occurrence zone presented to the management device 13 and the operation recording device 12 via the information processing system 1 is an operation manager such as a transportation company, a driver of a vehicle on which the operation recording device 12 is mounted, etc. Will be notified.

  In the calculation of the occurrence frequency of a dangerous state, the information processing apparatus 10 according to the present embodiment specifies a dangerous state such as a sudden brake involving a plurality of vehicles, for example, for an event in which one sudden brake occurs. Then, the information processing apparatus 10 according to the present embodiment calculates the number of occurrences of sudden braking involving a plurality of vehicles counted in a superimposed manner from the number of occurrences of sudden braking counted for an event in which one sudden braking occurs. Exclude the frequency of occurrence. The information processing apparatus 10 according to the present embodiment improves the detection accuracy of a dangerous point on a route by specifying a dangerous state frequent occurrence zone from the occurrence frequency calculated excluding the number of occurrences of sudden braking involving a plurality of vehicles. be able to.

  FIG. 2 illustrates a diagram for explaining the occurrence state of multiple brakes involving a plurality of vehicles with respect to an event in which one sudden brake occurs, which is a target in the information processing system 1 of the present embodiment. In the explanatory diagram illustrated in FIG. 2, the occurrence point of multiple brakes is an intersection P where a path A extending in the vertical direction in the figure and a path B extending in the horizontal direction in the figure intersect. The relationship between the road width of the route A and the road width of the route B is a relationship of the road width of the route A <the road width of the route B, and the vehicle traveling on the route A slowly travels with respect to the vehicle traveling on the route B. Safety confirmation is imposed by such means.

  In the explanatory diagram illustrated in FIG. 2, a rectangular area E1 surrounded by a thick line is an area divided by the mesh ID on the map data including the occurrence point of multiple brakes. As the rectangular area E1, for example, an area divided by a tertiary mesh code (about 1 km × 1 km) which is a reference area mesh can be exemplified. Further, the rectangular area E1 may be an area divided by a 1/2 mesh code, a 1/4 mesh code, a 1/8 mesh code, or the like obtained by further subdividing the tertiary mesh.

  In the intersection P illustrated in FIG. 2, for example, in a vehicle that travels in the right direction along the route B from the front of the intersection P, the building C is shielded against the vehicle that travels in the downward direction on the route A from before the intersection P. As a result, the outlook is poor. In addition, for example, in a vehicle that travels downward along the route A from before the intersection P, similarly, the building C becomes a shielding object against the vehicle that travels right along the route B from before the intersection P. It becomes defective. For example, the traveling vehicle of the route A checks the safety by advancing the vehicle to a position immediately before the road width of the route B in order to check the vehicle of the route B. On the other hand, for example, a vehicle traveling along the route B appears from the route A shielded by the building C. Therefore, the vehicle is stopped during operation such as sudden braking or sudden steering, or the traveling direction is changed and the traveling direction is changed. Attempt to avoid a collision with the vehicle from A. For this reason, in the vehicle D1 traveling on the route B illustrated in FIG. 2, for example, in order to avoid a collision with a vehicle appearing from the route A shielded by the building C, dangerous situations such as sudden braking and sudden steering occur. .

  In the explanatory diagram of FIG. 2, a sudden brake or the like that has occurred in the vehicle D <b> 1 traveling in the right direction ahead of the route B is an event that causes one sudden brake that is the target in the information processing system 1 of the present embodiment. is there. Then, in the vehicles D2 and D3 following the vehicle D1, a sudden brake operation or the like caused by a sudden brake operation or the like of the vehicle D1 can occur. In the explanatory diagram of FIG. 2, for example, when a sudden braking operation or the like occurs in the vehicles D2 and D3 following the vehicle D1, the number of occurrences of the dangerous state for the intersection P including the sudden braking operation of the vehicle D1 is “3 times”. "And superimposed.

  In the information processing system 1 of the present embodiment, for example, in the explanatory diagram of FIG. 2, the sudden braking operation or the like that has occurred in the vehicle D1 is counted as the number of occurrences of the dangerous state with respect to the intersection P. Thus, the dangerous state of the vehicles D2 and D3 generated is not counted. For this reason, the frequency | count of occurrence of the dangerous state with respect to the intersection P counted by the information processing system 1 of this embodiment will be "1 time."

For example, the information processing apparatus 10 of the information processing system 1 according to the present embodiment, when counting sudden brakes, determines an event of one sudden brake from a total number of sudden brakes counted according to a predetermined condition. Specify the number of occurrences of other superimposed sudden braking that is the cause. For example, the information processing apparatus 10 according to the present embodiment is generated on the basis of a determination condition that an occurrence event of one sudden brake is within a predetermined range and within a predetermined time difference with respect to one sudden brake occurrence event A process of specifying the number of occurrences of sudden braking superimposed on a point is performed.

  In addition, as a determination condition of the specific processing of the number of occurrences of sudden braking superimposed on the occurrence point, within a predetermined range can be set according to, for example, a traffic regulation speed associated with road data included in map information Also good. For example, as the predetermined range, the stop distance until the vehicle that is traveling at the traffic regulation speed is stopped can be exemplified.

Here, the stop distance can be calculated as the addition of the free running distance with respect to the free running time until the braking action is taken after the danger is detected and the braking distance until the vehicle stops due to the braking action. For example, since the average idling time of a normal person at a vehicle speed of 50 km / h is 0.75 seconds, the idling distance is about 10.4 m. Further, for example, the braking distance is (vehicle speed before braking (km / h) ² / (25
4 × the friction coefficient with the road surface)), and the friction coefficient on the dry road surface is about 0.7, so the braking distance at a vehicle speed of 50 km / h is about 14.1 m. Therefore, the stop distance at a vehicle speed of 50 km / h is about 24.5 m.

  In the explanatory diagram of FIG. 2, the predetermined range is an area circle in which the stop distance described above is the radius value r1. For this reason, for example, for the vehicle D1, the vehicle D2 in the area circle having the stop distance as the radius value r1 is included in a predetermined range as a determination condition. Similarly, for the vehicle D2, the vehicles D1 and D3 within the area circle are included in a predetermined range as a determination condition. In the explanatory diagram of FIG. 2, an area circle having a radius value r1 is used as the predetermined range. However, for example, a rectangular area having a distance r1 may be set to the front, rear, left, and right with the vehicle as the center. The predetermined range may be set for each vehicle. For example, the predetermined range for the vehicle D1 may be the radius value r1, the predetermined range for the vehicle D2 may be the radius value r2, and the predetermined range for the vehicle D3 may be the radius value r3. A predetermined range can be set according to the type of vehicle traveling along the route.

  Further, as a determination condition for the process of specifying the number of occurrences of sudden braking superimposed on the occurrence point, within a predetermined time difference can be set, for example, according to the road traffic regulation speed associated with the road data included in the map information It is good. For example, as the predetermined time, similarly to the above-described stop distance, a stop time until the vehicle that is traveling at the road traffic regulation speed is stopped can be exemplified.

The stop time can be calculated, for example, as an addition of an idle running time until danger is detected and a braking action is taken and a braking time until the vehicle stops due to the braking action. For example, the average idling time of a normal person at a vehicle speed of 50 km / h is 0.75 seconds. The braking time can be calculated as (vehicle speed (second speed) / (gravity acceleration (9.8) × (friction coefficient with the road surface)). If the friction coefficient on the dry road surface is about 0.7, the vehicle speed is 50 km. The braking time at / h is about 2.02 seconds and the stopping distance is about 2.78 seconds, and the predetermined time difference may be set for each vehicle, for example. A predetermined time difference can be set according to the above.

  In the information processing apparatus 10 of the information processing system 1 of the present embodiment, the occurrence of multiple brakes or the like is determined on the condition that the occurrence of a dangerous state involving a plurality of vehicles is within a predetermined range and within a time difference. . As a result, in the information processing system 1 according to the present embodiment, even when a plurality of vehicles are involved in an event in which one sudden braking occurs, the occurrence of sudden braking involving a plurality of vehicles counted in a superimposed manner The number of times can be removed, and the detection accuracy of the dangerous point can be improved.

Returning to FIG. 1, the information processing system 1 includes an information processing device 10, a storage device 11, an operation recording device 12, and a management device 13 connected to the network N. The information processing apparatus 10 is connected to the storage device 11. The operation recording device 12 and the management device 13 are connected to the information processing device 10 via the network N. The network N includes, for example, a public network such as the Internet, a wireless network such as a mobile phone network, and a network such as a LAN (Local Area Network). For example, a plurality of operation recording devices 12 and a management device 13 can be connected to the network N. Further, the network N is connected to an information processing device that distributes traffic information including weather conditions, accident information, traffic regulation information, etc., such as a traffic information communication system (VICS: Vehicle Information and Communication System). Also good.

In the information processing system 1 illustrated in FIG. 1, the information processing apparatus 10 is a computer such as a personal computer (PC) or server provided in an operation management support system or the like, for example. The information processing apparatus 10 includes, for example, an operation recording apparatus 12 connected via the network N so that the operation status of the traveling vehicle includes time information, an identification number for identifying the vehicle, position information acquired by GPS, etc. Are registered in association with each other. The operation status includes information such as acceleration / deceleration such as travel distance, travel speed, sudden start, sudden acceleration, and sudden deceleration. The time information includes information such as the Western calendar, lunar calendar, date calendar, hour, minute, and second. In the information processing apparatus 10, the operation status acquired from the management apparatus 13 connected via the network N via a portable recording medium is registered. The operation status registered through the operation recording device 12 and the management device 13 is stored, for example, in the operation information DB 113 of the storage device 11.

  The storage device 11 is a storage device that includes a storage medium that stores various programs and various data. The storage device 11 is also called an external storage device. Examples of the storage device 11 include a solid state drive device and a hard disk drive device. The storage device 11 may include a portable recording medium such as a CD (Compact Disc) drive device, a DVD (Digital Versatile Disc) drive device, and a BD (Blu-ray Disc) drive device. Note that the information processing device 10 and the storage device 11 may constitute, for example, a part of a cloud that is a group of computers on a network.

  The storage device 11 includes a map information DB 111, a traffic information DB 112, an operation information DB 113, a frequent occurrence point information DB 114, and the like as storage destinations of data that the information processing device 10 refers to or manages.

The map information DB 111 stores map information used for specifying the occurrence point of the dangerous state. The map information includes major facility names, road data (route and distance of each road, road width, traffic regulation speed, etc.), intersection identification information, place name data, POI (Point Of Interest) such as map data, etc. . In the traffic information DB 112, for example, traffic information distributed from a traffic information communication system such as VICS is stored.

  The operation information DB 113 stores, for example, the operation status for each vehicle acquired from the operation recording device 12 and the management device 13 connected via the network N. In the frequent occurrence point information DB 114, for example, information on dangerous state frequent occurrence zones identified by the information processing apparatus 10 of the present embodiment is stored in association with map information or the like.

  The operation recording device 12 is a device that can be mounted on the vehicle such as a digital tachograph, a drive recorder, or an event recorder that records the operation status of a running vehicle. The operation recording device 12 has, for example, a GPS function and a connection function to the network N. In addition, the operation recording device 12 has a function of receiving notification of dangerous state frequent occurrence zone information specified by the information processing device 10 and presenting it to a driver or the like.

The operation recording device 12 may be, for example, a navigation device having a GPS function and an information processing device having a communication function such as a PC, a tablet PC, a PDA (Personal Digital Assistant), a smartphone, and a mobile phone. Further, for example, an information processing device having a GPS function may be linked to a device that records the operation status and have a GPS function and a function of connecting to the network N.

  The management device 13 is, for example, a computer such as a PC or a server that performs operation management provided in a delivery center or the like of a carrier. For example, the management device 13 outputs the operation status recorded in the portable recording device to the information processing device 10 connected via the network N. Further, the management apparatus 13 receives presentation of dangerous state frequent occurrence zone information specified by the information processing apparatus 10 via the network N. The manager of operation management, for example, can give safety guidance to the driver or the like based on the presented dangerous state frequent occurrence zone information.

  FIG. 3 illustrates a hardware configuration of the information processing apparatus 90. The information processing apparatus 90 illustrated in FIG. 3 has a so-called general computer configuration. The information processing apparatus 10, the operation recording apparatus 12, and the management apparatus 13 illustrated in FIG. 1 are realized by, for example, the information processing apparatus 90 illustrated in FIG.

The information processing apparatus 90 includes a CPU (Central Processing Unit) 91, a main storage unit 92, an auxiliary storage unit 93, an input unit 94, an output unit 95, and a communication unit 9 that are connected to each other via a connection bus B1.
6. The main storage unit 92 and the auxiliary storage unit 93 are recording media that can be read by the information processing apparatus 90.

  In the information processing apparatus 90, the CPU 91 expands the program stored in the auxiliary storage unit 93 so as to be executable in the work area of the main storage unit 92, and controls peripheral devices through the execution of the program. Thereby, the information processing apparatus 90 can implement a function that matches a predetermined purpose.

  In the information processing apparatus 90 illustrated in FIG. 3, the CPU 91 is a central processing unit that controls the entire information processing apparatus 90. The CPU 91 performs processing according to a program stored in the auxiliary storage unit 93. The main storage unit 92 is a storage medium in which the CPU 91 caches programs and data and develops a work area. The main storage unit 92 includes, for example, a RAM (Random Access Memory) and a ROM (Read Only Memory).

  The auxiliary storage unit 93 stores various programs and various data in a recording medium in a readable and writable manner. The auxiliary storage unit 93 stores an operating system (OS), various programs, various tables, and the like. The OS includes a communication interface program that exchanges data with an external device or the like connected via the communication unit 96. Examples of the external device include an information processing device such as another server, an external storage device, and a device having a communication function on a connected network.

The auxiliary storage unit 93 is, for example, an EPROM (Erasable Programmable ROM), a solid state drive device, a hard disk drive (HDD, Hard Disk Drive) device, or the like. As the auxiliary storage unit 93, for example, a CD drive device, a DVD drive device, a BD drive device, or the like can be presented. Examples of the recording medium include a silicon disk including a nonvolatile semiconductor memory (flash memory), a hard disk, a CD, a DVD, a BD, a USB (Universal Serial Bus) memory, and a memory card.

  The input unit 94 receives an operation instruction or the like from a user or the like. The input unit 94 is an input device such as an input button, a keyboard, a pointing device, a wireless remote controller, a microphone, and a camera. The input unit 94 includes various sensors such as a speed sensor and a G sensor for acquiring the operation status, a GPS receiver, and the like. Information input from the input unit 94 is notified to the CPU 91 via the connection bus B1.

The output unit 95 outputs data processed by the CPU 91 and data stored in the main storage unit 92. The output unit 95 is an output device such as a CRT (Cathode Ray Tube) display, an LCD (Liquid Crystal Display), a PDP (Plasma Display Panel), an EL (Electroluminescence) panel, an organic EL panel, a printer, and a speaker. The communication unit 96 is an interface with the network N, for example.

  In the operation recording device 12, for example, the CPU 91 reads out and executes the OS, various programs, and various data stored in the auxiliary storage unit 93 into the main storage unit 92, thereby recording the operation state in association with the position information. be able to. Further, for example, the operation recording device 12 can output the recorded operation status to the network N periodically connected in association with identification information for identifying the vehicle. As a result, the operation recording device 12 can register the operation status of the running vehicle with respect to the information processing device 10 connected via the network N. Moreover, the user of the operation recording device 12 can receive presentation of dangerous state frequent occurrence zone information specified by the information processing device 10, for example. The presented dangerous state frequent occurrence zone information or the like is displayed on an output device such as an EL panel, for example, and is notified via an output device such as a speaker.

  For example, the management device 13 implements a browser function by causing the CPU 91 to read the OS, various programs, and various data stored in the auxiliary storage unit 93 into the main storage unit 92 and execute them. As a result, the user of the management apparatus 13 can register the operation status recorded on the portable recording medium for the information processing apparatus 10 connected via the network N. Moreover, the user of the management apparatus 13 can receive presentation of dangerous state frequent occurrence zone information etc. which were specified by the information processing apparatus 10, for example. The presented dangerous state frequent occurrence zone information is displayed, for example, on an output device such as an EL panel, and is output to an output device such as a printer, and can be used for safety guidance for a driver or the like.

  In the information processing apparatus 10, for example, the CPU 91 reads out the OS, various programs, and various data stored in the auxiliary storage unit 93 to the main storage unit 92 and executes them. Thereby, for example, the information processing apparatus 10 realizes functions as the operation information reception unit 110, the dangerous state frequent occurrence point analysis unit 120, the frequent occurrence point information transmission unit 130, and the dangerous state frequent occurrence point map display unit 140 illustrated in FIG. To do.

  Note that any one of the functional units may be included in another information processing apparatus. For example, the information processing device including the operation information receiving unit 110 and the information processing device including the dangerous state frequent occurrence point analysis unit 120 are connected via the network N or the like. The information processing device including the frequent occurrence point information transmission unit 130 and the information processing device including the dangerous state frequent occurrence point map display unit 140 may be connected via the network N or the like to function as the information processing device 10. . The information processing apparatus 10 can reduce the processing load by distributing functional units to a plurality of information processing apparatuses and realizing each functional unit in parallel.

[Function configuration]
In the information processing system 1 illustrated in FIG. 1, the information processing apparatus 10 includes functional units such as an operation information reception unit 110, a dangerous state frequent occurrence point analysis unit 120, a frequent occurrence point information transmission unit 130, and a dangerous state frequent occurrence point map display unit 140. Have

  The operation information receiving unit 110 periodically acquires information related to the operation status recorded during traveling from the operation recording device 12 connected via the network N. Here, “periodically” can be exemplified by time intervals in seconds, minutes, and hours, for example. Further, for example, it may be acquired for each latitude / longitude according to a distance interval in km units or the like and a mesh of map data.

  The information related to the operation status includes, for example, operation data such as vehicle travel distance, travel speed, sudden start, sudden acceleration, sudden deceleration, etc., identification information of the vehicle on which the operation recording device 12 is mounted, Location information such as the latitude and longitude of the vehicle, time information, and the like are included. In addition, when the operation recording device 12 and the vehicle on which the operation recording device 12 is mounted are associated, for example, identification information for identifying the operation recording device 12 may be acquired instead of the vehicle identification information. Good.

  In addition, the operation recording device 110 acquires, for example, information related to the operation status of a running vehicle recorded on a portable recording medium from the management device 12 connected via the network N. In the portable recording medium, information related to the operation status of the running vehicle recorded by the operation recording device 12 is stored in chronological order. The operation information receiving unit 110 stores the information related to the acquired operation status in, for example, the operation information DB 113 of the recording device 12.

  The dangerous state frequent occurrence point analysis unit 120 refers to the map information DB 111 and the operation information DB 113, and identifies a point where a dangerous state such as sudden braking has occurred. A dangerous state such as sudden braking can be identified from operation data such as sudden deceleration. Further, a dangerous state such as sudden braking may be specified on the condition that the change in traveling speed over time exceeds a predetermined threshold. For example, as described in FIG. 2, the stop time when the vehicle speed is 50 km / h is about 2.78 seconds. Therefore, for example, a dangerous state such as a sudden brake can be specified with 50 / 2.78 = 17.98> 17 kmh / sec as a threshold value.

  The dangerous state frequent occurrence point analysis unit 120 calculates the occurrence frequency of the dangerous state with respect to the identified occurrence point of the dangerous state. The dangerous state frequent occurrence point analysis unit 120 specifies the number of occurrences of sudden braking that has occurred in a plurality of vehicles in relation to an event that causes one sudden braking, such as multiple braking, in calculating the occurrence frequency of the dangerous state. Dangerous state frequent occurrence point analysis unit 120 specifies the number of occurrences of sudden braking that has occurred in a plurality of vehicles, with a condition that is within a predetermined range and within a time difference for an occurrence event of a dangerous state involving a plurality of vehicles To do. The dangerous state frequent occurrence point analysis unit 120 calculates a sudden state of a plurality of vehicles that have occurred in response to an event in which one sudden brake is identified based on the number of sudden brakes counted in the calculation of the occurrence frequency of the dangerous state. The frequency of occurrence is calculated excluding the number of occurrences of braking. The calculated occurrence frequency is stored in the frequent occurrence point information DB 114 of the storage device 12 in association with map information (for example, mesh ID or the like) including the occurrence point of the dangerous state, for example.

  The dangerous state frequent occurrence point analysis unit 120 uses, for example, traffic information distributed from a traffic information communication system or the like stored in the traffic information DB 112 as a determination condition for specifying the number of occurrences of sudden braking that has occurred in a plurality of vehicles. You may refer to it. For example, when setting the determination condition based on the traffic regulation speed associated with the road data, the determination condition according to the traffic situation of the occurrence point of the dangerous state is obtained by referring to the traffic information stored in the traffic information DB 112. Can be set.

  The frequent occurrence point information transmission unit 130 notifies the operation recording device 12 and the like connected via the network N of the information on the dangerous state frequent occurrence zones such as sudden braking stored in the frequent occurrence point information DB 114. For example, the frequent occurrence point information transmission unit 130 indicates that the target vehicle has entered the dangerous state frequent occurrence zone based on the latitude and longitude of the running vehicle and the latitude and longitude of the map information associated with the frequent danger state zone. judge. Then, the frequent occurrence point information transmission unit 130, for example, receives message information such as a warning message to call attention to a driver or the like corresponding to the dangerous state frequent occurrence zone when the target vehicle has entered the dangerous state frequent occurrence zone. Notice. For example, the message information notified to the operation recording device 12 is displayed on an output device such as an EL panel of the operation storage device 12, and is notified to a driver or the like as audio information through a speaker.

  In addition, for example, the operation recording device 12 holds map information, is equipped with the above-described function of determining the position information of the host vehicle as application software, and information on a dangerous state frequent occurrence zone notified from the frequent occurrence spot information transmission unit 130 and Message information may be processed. For example, the operation recording device 12 determines that the vehicle has entered the dangerous state frequent occurrence zone from the latitude / longitude of the map information associated with the notified dangerous state frequent occurrence zone and the latitude / longitude of the traveling vehicle. Then, message information display / audio reproduction corresponding to the dangerous state frequent occurrence zone may be performed upon entering the dangerous state frequent occurrence zone.

  The dangerous state frequent occurrence point map display unit 140 generates information of dangerous state frequent occurrence zones such as sudden braking stored in the frequent occurrence point information DB 114 as image information associated with the map information. FIG. 4 shows a display example of the image information generated by the dangerous state frequent occurrence point map display unit 140. In the display example of FIG. 4, the region F1 is map data including, for example, a dangerous state frequent occurrence zone. The region F2 is a dangerous state frequent occurrence zone such as sudden braking specified by the dangerous state frequent occurrence point analysis unit 120. In the area F3, “the number of sudden braking”, “traffic amount”, and “occurrence rate” associated with “point No.” that is identification information for identifying a high-risk state zone are displayed.

  In the display example of FIG. 4, “Point No” in the region F <b> 3 is identification information that uniquely identifies a dangerous state frequent occurrence zone. The “number of sudden braking” is the number of occurrences of sudden braking counted from the data of operation status collected from a plurality of vehicles. The “traffic volume” is the total number of vehicles that have passed through the dangerous state frequent occurrence zone. The “occurrence rate” is an occurrence frequency calculated from the number of occurrences of sudden braking counted with respect to the total number of vehicles passing through the dangerous state frequent occurrence zone.

As illustrated in FIG. 4, the dangerous state frequent occurrence point map display unit 140 generates image information by associating traffic information and map information for calculating the region and occurrence frequency of the dangerous state frequent occurrence zone. For example, the image information is generated in a bitmap (BMP) format. The image information generated by the dangerous state frequent occurrence point map display unit 140 is converted into, for example, a JPEG (Joint Photographic Experts Group) format that can be displayed by the management device 13 or the like, and the management device 13 or the like connected via the network N. Will be notified.

[Table structure]
FIG. 5 illustrates an example of a table of dangerous state frequent occurrence zones stored in the frequent occurrence point information DB 114. The table illustrated in FIG. 5 includes “point No.”, “start point latitude”, “start point longitude”, “end point latitude”, “end point longitude”, “sudden brake count”, “multiple brake count”, “multiple brake occurrence rate”. ”,“ Traffic volume ”,“ occurrence rate ”, and“ rank ”columns. In the “Point No” column, identification information for uniquely identifying a dangerous state frequent occurrence zone is stored. In each of the columns “start latitude”, “start longitude”, “end latitude”, and “end longitude”, latitude / longitude information of map data of a rectangular area including a dangerous state frequent occurrence zone is stored. The “number of sudden braking” column stores the number of occurrences of sudden braking collected from the operation statuses of a plurality of vehicles in the dangerous state frequent occurrence zone. The “multiple braking times” column stores the number of times of sudden braking of a plurality of vehicles that occurred in response to an event in which one sudden braking occurs. The “multiple brake occurrence rate” column stores the ratio of the number of multiple brakes to the number of sudden brakes. The “traffic amount” column stores the total number of vehicles that have passed through the dangerous state frequent occurrence zone. The “occurrence rate” column stores the frequency of occurrence of sudden braking with respect to a dangerous state frequent occurrence zone. The frequency of occurrence of sudden braking is calculated by subtracting the number of occurrences of sudden braking of multiple vehicles from the number of occurrences of sudden braking from the number of occurrences of sudden braking with respect to the total number of vehicles that have passed through the dangerous state frequent occurrence zone. The ratio of the number of times is stored. The “rank” column stores the ranks assigned according to the relative magnitude relationship of the occurrence rates.

In the example of FIG. 5, the latitude / longitude of the rectangular area of the map data including each dangerous state frequent occurrence zone is divided at intervals of 10 seconds. In the “occurrence rate” column, a count value obtained by subtracting the count value stored in the “multiple brake count” column from the count value stored in the “rapid brake count” column is stored in the “traffic amount” column. Stores the ratio divided by the total number of vehicles.

  As an example, in the case of “001” in the “Point No” column, “93” is stored in the “Sudden brake count” column, “13” is stored in the “Multiple brake count” column, and “Traffic amount” is stored. In the column, “4000” is stored. In the “occurrence rate” column, “0.020” calculated by ((“93” − “13”) / (4000)) is stored as the occurrence rate. Similarly, “0.050” is stored as the occurrence rate in the case of “002” in the “Point No” column, and “0.025” is stored in the case of “003” in the “Point No” column.

  In the example of FIG. 5, each point is ranked according to the relative magnitude relationship of the occurrence rate. Therefore, in the “rank” column corresponding to each point, for example, “002”, “003”, Numbers indicating the order are stored in the order of “001”.

  In the example of FIG. 5, count values “13”, “0”, and “6” are stored in the “multiple brake count” column corresponding to each point in order of the point numbers. The “multiple brake occurrence rate” column at each point stores the ratio of the count value stored in the “multiple brake count” column to the count value stored in the “rapid brake count” column.

  As an example, in the case of “001” in the “Point No” column, “13.978” calculated by (“13” / “93”) is stored in the “Multiple brake occurrence rate” column. Similarly, “0” is stored as the multiple brake occurrence rate in the case of “002” and “10.714” in the case of “003”.

  In the example of FIG. 5, for example, it is possible to register a plurality of high-order points having a relatively high sudden brake occurrence rate as dangerous state frequent occurrence zones. Further, for example, a point where multiple brakes by a plurality of vehicles such as “001” and “003” in the “Point No” column may be registered as a dangerous state frequent occurrence zone. This is because multiple brake occurrence points of a plurality of vehicles tend to have a high risk of accidents involving the vehicles. In addition, depending on the magnitude relationship of the count value obtained by subtracting the count value stored in the “Multiple Brake Count” column from the count value stored in the “Sudden Brake Count” column, a plurality of higher-order points are registered as dangerous state frequent occurrence zones. Also good. It is possible to register a dangerous state frequent occurrence zone by the number of times of sudden braking excluding the number of times of superimposing multiple braking times.

  Further, in the example of FIG. 5, the multiple brake occurrence rate of “001” ranked “3” ranked by the sudden brake occurrence rate is “003” ranked “2” ranked by the sudden brake occurrence rate. It is higher than the multiple brake occurrence rate. For example, when the sudden brake occurrence rate at each point is included in a predetermined range, the ranking may be performed on the condition that the multiple brake occurrence rate is high.

  As illustrated in FIG. 5, in the information processing system 1 according to the present embodiment, the occurrence of sudden braking of a plurality of vehicles that has occurred in response to an event in which one sudden braking occurs from the total number of sudden braking occurrences for a specific point The frequency of occurrence can be calculated by reducing the number of times. For this reason, in the information processing system 1 of the present embodiment, it is possible to increase the detection accuracy of a dangerous state frequent occurrence zone where a dangerous state such as a sudden brake occurs.

  Further, in the information processing system 1 of the present embodiment, it is possible to specify the number of occurrences of sudden braking of a plurality of vehicles that has occurred in response to an event in which one sudden braking occurs. For this reason, the occurrence point of multiple brakes, which tend to have a high risk of accidents involving vehicles, can be registered as a dangerous state frequent occurrence zone.

  Further, in the information processing system 1 of the present embodiment, it is possible to calculate the ratio at which multiple brakes are generated with respect to the number of sudden brakes generated at a specific point. For this reason, for example, when ranking is performed according to the sudden braking rate, if the sudden braking rate calculated for each point is within a predetermined range, the ranking is based on the condition that the multiple braking rate is high. It can be performed. It is possible to register high-risk areas by ranking considering the risk of accidents occurring between vehicles.

[Processing flow]
Hereinafter, with reference to FIG. 6, the dangerous state frequent occurrence point analysis process in the information processing apparatus 10 of the present embodiment will be described. FIG. 6 is an example of a flowchart of the dangerous state frequent occurrence point analysis process. The process illustrated in FIG. 6 is mainly executed by the dangerous state frequent occurrence point analysis unit 120. In the dangerous state frequent occurrence point analysis process illustrated in FIG. 6, a sudden braking operation that has occurred in a running vehicle will be described as a dangerous state.

  In the flowchart illustrated in FIG. 6, the start of the dangerous state frequent occurrence point analysis process can be exemplified, for example, at the time of registration of operation status information collected via the network N. The information processing apparatus 10 collects operation status information from the operation recording device 12 and the management device 13 connected via the network N, and stores the information in the operation information DB 113 of the recording device 12, for example. Note that the collection of operation status information has been described in the information processing system 1 illustrated in FIG.

  For example, the information processing apparatus 10 refers to the operation information DB 113 and searches for the vehicle in which the rapid deceleration has occurred from the stored operation data, and identifies the vehicle identification information and position information associated with the vehicle in which the rapid deceleration has occurred. The time information is extracted (S1). Various pieces of information associated with the extracted vehicle that has undergone sudden deceleration are temporarily stored in a predetermined area of the main storage unit 92 of the information processing apparatus 10, for example.

  For example, the information processing apparatus 10 refers to the map information DB 111 and searches the stored map data for a point corresponding to the position information of the vehicle where the rapid deceleration has occurred, which is extracted in the process of S1. Map data (area) in a predetermined range including “S” is acquired (S2). Here, the predetermined range is, for example, a rectangular area on map data in which latitude and longitude are divided at intervals of 10 seconds as illustrated in FIG. Note that the size of the predetermined range can be selected according to the geographic information of the point where the sudden deceleration has occurred. For example, an identification number such as a mesh ID is assigned to the area acquired in the process of S2. The information processing apparatus 10 temporarily stores the acquired area identification number, the start point latitude / longitude, and the end point latitude / longitude, for example, in a predetermined area of the main storage unit 92 of the information processing apparatus 10. Further, the information processing apparatus 10 stores the identification number of the area acquired in the process of S <b> 2, the start point latitude / longitude and the end point latitude / longitude, for example, in the frequent occurrence point information DB 114 of the storage device 12. For example, the identification number of the acquired area is stored in the “Point No” column, and the start latitude / longitude and the end latitude / longitude that divide the area are “start latitude”, “start longitude”, “end latitude”, respectively. Stored in the “Ending Longitude” column.

  Next, the information processing apparatus 10 includes the position information of the sudden brake that has occurred in the area from the vehicle position information extracted in the process of S1 and the start point latitude / longitude and end point latitude / longitude acquired in the process of S2. The specified number of vehicles is counted as the number of sudden braking (S3). In addition, the various information of the specified vehicle is temporarily memorize | stored in the predetermined area | region of the main memory part 92 of the information processing apparatus 10, for example. The counted number of sudden braking is stored in, for example, the “number of sudden braking” column in the corresponding area of the frequent occurrence point information DB 114.

  Next, the information processing apparatus 10 identifies a vehicle having multiple brakes caused by an event in which one sudden brake has occurred with respect to the vehicle identified by the process of S3 by the processes of S4-S9. Note that the number of multiple brakes generated is counted as the number of multiple brakes generated.

  The information processing apparatus 10 selects one vehicle from the vehicles specified in the process of S3 (S4). Then, the information processing apparatus 10 performs multi-brake determination processing on other vehicles other than the selected vehicle, and identifies the multi-brake vehicle generated due to the sudden braking of the selected vehicle (S5-S8). ). In the multiple brake determination process, for example, it is determined whether or not the relationship between the relative position and the generation time of the selected vehicle and the other vehicle at the point where the sudden braking occurs is within a predetermined range. The predetermined range relationship of the multiple brake determination process has been described with reference to FIG.

  Note that the information processing apparatus 10 executes a determination process of multiple brakes of another vehicle with respect to the vehicle selected in S4 in the processing of S5-S8. Here, the other vehicles corresponding to the vehicle selected in S4 are a plurality of vehicles other than the vehicle selected in the process of S4 among the plurality of vehicles specified in the process of S3. In other words, the information processing apparatus 10 sequentially targets other vehicles other than the vehicle selected in the process of S4 from the plurality of vehicles specified in the process of S3, and selects the target other vehicle in the process of S4. It is determined that the positional relationship and the time relationship with the vehicle that has been met satisfy a predetermined condition. The information processing apparatus 10 has detected that a dangerous state due to an event common to both has occurred when the positional relationship and time relationship between the vehicle selected in the process of S4 and the other target vehicle satisfy a predetermined condition Is identified.

  In the process of S5, the information processing apparatus 10 uses, for example, a vehicle other than the vehicle selected in the process of S4 as a target vehicle, and the sudden braking position of the target vehicle with respect to the sudden braking position of the selected vehicle is predetermined. It is determined whether it is within the range. For example, if the sudden braking position of the target vehicle with respect to the selected vehicle is within a predetermined range (S5, Yes), the information processing apparatus 10 proceeds to the process of S6. On the other hand, for example, when the generation position of the sudden brake of the target vehicle with respect to the selected vehicle is not within a predetermined range (S5, No), the information processing apparatus 10 proceeds to the process of S9.

  In the process of S6, for example, the information processing apparatus 10 determines that the occurrence time of the sudden brake of the target vehicle that satisfies the determination condition of S5 is within a predetermined range with respect to the occurrence time of the sudden brake of the vehicle selected in the process of S4. It is determined whether or not. For example, when the occurrence time of sudden braking of the target vehicle with respect to the selected vehicle is within a predetermined range (S6, Yes), the information processing apparatus 10 proceeds to the process of S7. On the other hand, for example, when the occurrence time of sudden braking of the target vehicle with respect to the selected vehicle is not within a predetermined range (S6, No), the information processing apparatus 10 proceeds to the process of S9.

  In the process of S7, the information processing apparatus 10 determines whether the target vehicle that satisfies the determination condition in the processes of S5-S6 is a vehicle that has already been determined to have generated multiple brakes. The process of S7 can be determined, for example, by the match between the identification information of the target vehicle that satisfies the determination conditions in the processes of S5-S6 and the identification information of the vehicle that has already been determined that multiple braking has occurred.

  For example, when the target vehicle that satisfies the determination condition in the processing of S5 to S6 is a vehicle that has already been determined that multiple braking has occurred (S7, Yes), the information processing apparatus 10 proceeds to the processing of S9. . On the other hand, for example, when the target vehicle that satisfies the determination condition in the processing of S5 to S6 is not a vehicle that has already been determined that multiple braking has occurred (S7, No), the information processing apparatus 10 proceeds to the processing of S8. To do.

In the process of S8, the information processing apparatus 10 identifies a vehicle that satisfies the determination conditions of S5-S7 as a vehicle that generates multiple brakes for the vehicle selected in the process of S4. The identified vehicle is temporarily stored in a predetermined area of the main storage unit 92 of the information processing apparatus 10, for example. Note that the information processing apparatus 10 may store the vehicle identification number that satisfies the determination conditions of S5 to S7 in association with the vehicle identification number selected in the process of S4.

  In the process of S9, the information processing apparatus 10 determines whether a vehicle other than the vehicle selected in S4 remains in the vehicle specified in the process of S3. When there are vehicles other than the vehicle selected in S4 among the vehicles specified in the process of S3 (S9, Yes), the information processing apparatus 10 excludes the already selected vehicles. The processes of S4-S9 are repeated for the vehicle. On the other hand, the information processing apparatus 10 proceeds to the process of S10 when the vehicle to be selected is not left among the vehicles specified in the process of S3 (S9, No).

  In the process of S10, the information processing apparatus 10 counts the number of vehicles specified in the process of S8. For example, the counted number of vehicles is temporarily stored in a predetermined area of the main storage unit 92 of the information processing apparatus 10. Further, the information processing apparatus 10 stores, for example, the counted number of vehicles in the frequent occurrence point information DB 114 of the storage device 12. The counted number of vehicles is stored, for example, in the “Multiple Brake Count” column of the corresponding area of the frequent occurrence point information DB 114.

  Next, for example, the information processing apparatus 10 refers to the operation information DB 113, extracts the vehicle in which the position information included in the latitude / longitude range of the area specified in the process of S2 is recorded, and counts the number of vehicles. (S11). In counting the number of vehicles, the information processing apparatus 10 counts a vehicle in which position information of the target vehicle is detected continuously at predetermined time intervals within the latitude / longitude range of the area. Here, the predetermined time interval is, for example, a time interval for acquiring information related to the operation status from the operation recording device 12 connected via the network N.

  The information processing apparatus 10 temporarily stores, for example, the number of vehicles counted in the process of S11 in a predetermined area of the main storage unit 92 and stores it in the frequent occurrence point information DB 114 of the storage device 12. The counted number of vehicles is stored, for example, in the “traffic amount” column of the corresponding area of the frequent occurrence point information DB 114. In the process of S11, the information processing apparatus 10 may acquire the amount of traffic counted by fixed point observation with a camera or the like disclosed by a public institution connected via the network N, for example.

  In the process of S12, the information processing apparatus 10 calculates the rate of occurrence of a sudden brake from the amount of traffic acquired in the process of S11, the number of sudden brakes counted in the process of S3, and the number of multiple brakes counted in the process of S10. To do. The information processing apparatus 10 temporarily stores the calculated occurrence rate, for example, in a predetermined area of the main storage unit 92 and stores it in the frequent occurrence point information DB 114 of the storage device 12. The calculated occurrence rate is stored, for example, in the “occurrence rate” column of the corresponding area in the frequent occurrence point information DB 114. The calculation of the sudden braking occurrence rate has been described with reference to the table example of FIG.

  In the process of S13, the information processing apparatus 10 calculates the multiple brake occurrence rate from the number of sudden brakes counted in the process of S3 and the number of multiple brakes counted in the process of S10. The information processing apparatus 10 temporarily stores the calculated multiple brake occurrence rate, for example, in a predetermined area of the main storage unit 92 and stores it in the frequent occurrence point information DB 114 of the storage device 12. The calculated multiple brake occurrence rate is stored, for example, in the “multiple brake” column of the corresponding area of the frequent occurrence point information DB 114. The calculation of the multiple brake occurrence rate has been described with reference to the table example of FIG.

The information processing apparatus 10 repeatedly performs the processing of S3-S14 for all the areas extracted in the processing of S2 (S14, Yes), and the magnitude relationship of the sudden braking occurrence rate for each area stored in the frequent occurrence point information DB 114 (S14, No-S15). The ranking value ranked by the magnitude relationship of the sudden braking occurrence rate for each area is stored in the “ranking” column of the corresponding area in the frequent occurrence point information DB 114. Note that the ranking of the processing in S15 is performed, for example, based on the magnitude relationship of the count values obtained by subtracting the number of multiple brakes counted in the processing in S8 from the number of sudden brakings counted in the processing in S3. Also good. By removing the number of multiple braking times superimposed on the number of sudden brakings, it is possible to register a dangerous state frequent occurrence zone with a count value with improved detection accuracy of a dangerous state occurrence point.

Here, the process of S1 executed by the information processing apparatus 10 is based on the vehicle travel information, the first time and the first occurrence location where the dangerous state occurred in the first vehicle, and the dangerous in the second vehicle. It is an example of the process which extracts the 2nd time and 2nd generation | occurrence | production location where the state generate | occur | produced. Further, the CPU 91 and the like of the information processing apparatus 10 determines, based on the travel information of the vehicle, the first time when the dangerous state occurs in the first vehicle, the first occurrence location, and the first state where the dangerous state occurs in the second vehicle. The process of S1 is executed as an example of means for extracting the time 2 and the second occurrence location.

  The processing of S5-S10 executed by the information processing apparatus 10 is such that the extracted first time and the second time are within a predetermined time width, and the first occurrence location and the When it is detected that the second occurrence location is within a predetermined distance range, the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle are integrated into one It is an example of the process which counts as generation | occurrence | production of a dangerous state. Further, the CPU 91 or the like of the information processing apparatus 10 has the extracted first time and the second time within a predetermined time width, and the first occurrence location and the second occurrence location. Is detected within the predetermined distance range, the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle are integrated and counted as one occurrence of the dangerous state. The process of S5-S10 is performed as an example of the means to perform.

  As described above, the first vehicle corresponds to the vehicle selected in the process of S4, and the second vehicle is the process of S4 among the plurality of vehicles specified in the process of S3. This corresponds to a vehicle other than the vehicle selected in. By repeatedly executing the above-described processing on the first vehicle, with the other vehicle other than the first vehicle among the plurality of vehicles specified in the processing of S3 as the target vehicle (second vehicle), a plurality of A dangerous state caused by an event common to the vehicle is identified.

  Moreover, the process of S3 performed by the information processing apparatus 10 is an example of a process of counting the number of occurrences of the dangerous state for each vehicle. Further, the CPU 91 or the like of the information processing apparatus 10 executes the process of S3 as an example of means for counting the number of occurrences of the dangerous state for each vehicle.

  Further, the process of S10 executed by the information processing apparatus 10 is an example of a process of counting the number of occurrences of the integrated dangerous state. Further, the CPU 91 or the like of the information processing apparatus 10 executes the process of S10 as an example of a unit that counts the number of occurrences of the integrated dangerous state.

  Further, the process of S12 executed by the information processing apparatus 10 subtracts a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle to obtain a difference value. It is an example of the process which calculates | requires and calculates the occurrence rate of the dangerous state of the area | region where the generation | occurrence | production location of the integrated dangerous state is included based on the said difference value. Further, the CPU 91 or the like of the information processing apparatus 10 obtains a difference value by subtracting a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle. Based on the value, the process of S12 is executed as an example of means for calculating the occurrence rate of the dangerous state in the region including the integrated location of the dangerous state.

Further, the processing of S13 executed by the information processing apparatus 10 is performed by dividing the count value obtained by counting the number of occurrences of the integrated dangerous state by the count value obtained by counting the number of occurrences of the dangerous state for each vehicle. It is an example of a process for calculating the occurrence rate of a dangerous state with respect to an occurrence event of a dangerous state. Further, the CPU 91 or the like of the information processing apparatus 10 divides the count value obtained by counting the number of occurrences of the integrated dangerous state by the count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and The process of S13 is executed as an example of a means for calculating the occurrence rate of the dangerous state for the occurrence event.

[Notification example]
FIG. 7 illustrates an example of notification of information on a dangerous state frequent occurrence zone such as a sudden brake stored in the frequent occurrence point information DB 114. As illustrated in FIG. 7, in the information processing system 1 of the present embodiment, a vehicle traveling in the area range G1 enters the dangerous state frequent occurrence zone G2 with respect to the operation recording device 12 or the like connected via the network N. Can be warned.

  In the information processing apparatus 10 of the information processing system 1 of the present embodiment, for example, from the latitude / longitude of the vehicle traveling in the region range G1 and the latitude / longitude of the map information associated with the dangerous state frequent occurrence zone G2, Is determined to have entered the dangerous state frequent occurrence zone G2. And the information processing apparatus 10 notifies the message information which can alert | report a driver | operator etc. with the form of a warning sound or a warning message with respect to the operation recording apparatus 12 mounted in the vehicle, for example.

  For example, in the operation recording apparatus 12 that has received notification of message information, a warning message is displayed via an output device such as an EL panel of the output unit 96. In the operation recording device 12 that has received the notification of the message information, for example, a reproduced warning message is issued by voice information via the speaker of the output unit 96.

  Furthermore, in the information processing system 1 of this embodiment, as illustrated in FIG. 8, it can be notified as message information that multiple brakes occur in a dangerous state frequent occurrence zone such as sudden braking.

  FIG. 8 is an example for explaining message information notified when multiple brakes occur in a dangerous state frequent occurrence zone such as sudden braking. In the explanatory diagram illustrated in FIG. 8, the occurrence point of the multiple brakes, as in the explanatory diagram of FIG. 2, intersects the route A extending in the vertical direction in the drawing and the route B extending in the horizontal direction in the drawing. Intersection P. For example, in a vehicle that travels in the right direction on the route B from before the intersection P, the line of sight is poor because the building C becomes a shield against the vehicle that travels in the downward direction on the route A from before the intersection P. In addition, for example, in a vehicle that travels downward along the route A from before the intersection P, similarly, the building C becomes a shielding object against the vehicle that travels right along the route B from before the intersection P. It becomes defective. Note that the relationship between the road width of the route A and the road width of the route B is a relationship of the road width of the route A <the road width of the route B. A vehicle traveling on the route A is compared with a vehicle traveling on the route B. Safety confirmation is required by slowing down.

  In the explanatory diagram illustrated in FIG. 8, for example, a warning message that warns that multiple brakes such as “Beware of the preceding vehicle” are generated for the vehicles D1, D2, and D3 traveling on the route B, for example. Etc. can be notified. In addition, a warning message or the like is issued to the vehicle D4 traveling on the route A intersecting with the route B, for example, urging self-control of an operation action that becomes an event of multiple brakes such as “Be careful about jumping to the intersection”. be able to.

  Further, in the explanatory diagram illustrated in FIG. 8, for example, in the case where multiple brakes are generated at the junction point with the route C that joins the route B, the vehicle D5 that travels on the route B is noted “ A warning message such as “Please” can be notified. Further, a warning message or the like that prompts self-control of an operation action that becomes an event of multiple brakes such as “Please be careful about jumping to the merging lane” can be notified to the vehicle D6 traveling on the route C.

<Computer-readable recording medium>
A program for causing a computer or other machine or device (hereinafter, a computer or the like) to realize any of the above functions can be recorded on a recording medium that can be read by the computer or the like. The function can be provided by causing a computer or the like to read and execute the program of the recording medium.

  Here, a computer-readable recording medium is a recording medium that stores information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer or the like. Say. Examples of such a recording medium that can be removed from a computer or the like include a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a Blu-ray disk, a DAT, an 8 mm tape, a flash memory, and the like. There are cards. Moreover, there are a hard disk, a ROM, and the like as a recording medium fixed to a computer or the like.

<Others>
The above embodiment further includes an aspect called the following supplementary note. The components included in the following supplementary notes can be combined with the constituents included in the other supplementary notes.
(Appendix 1)
In the program used to count the number of occurrences of dangerous situations for vehicles,
On the computer,
From the travel information of the vehicle, the first time and the first place where the dangerous state occurred in the first vehicle, and the second time and the second place where the dangerous state occurred in the second vehicle are obtained. Extract and
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. Then, the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle are integrated and counted as the occurrence of one dangerous state.
An information management program for executing processing.
(Appendix 2)
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A difference value is obtained by subtracting a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and based on the difference value, Calculate the rate of occurrence of dangerous conditions in the area containing the occurrence location,
The information management program according to appendix 1 for further executing processing.
(Appendix 3)
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A count value obtained by counting the number of occurrences of the integrated dangerous state is divided by a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and a risk state occurrence rate for the integrated dangerous state occurrence event is calculated. ,
The information management program according to appendix 1 for further executing processing.
(Appendix 4)
In the management method used for counting the number of occurrences of dangerous situations for vehicles,
Computer
From the travel information of the vehicle, the first time and the first place where the dangerous state occurred in the first vehicle, and the second time and the second place where the dangerous state occurred in the second vehicle are obtained. Extract and
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. Then, the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle are integrated and counted as the occurrence of one dangerous state.
An information management method for executing processing.
(Appendix 5)
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A difference value is obtained by subtracting a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and based on the difference value, Calculate the rate of occurrence of dangerous conditions in the area containing the occurrence location,
The information management method according to appendix 4, wherein the processing is further executed.
(Appendix 6)
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A count value obtained by counting the number of occurrences of the integrated dangerous state is divided by a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and a risk state occurrence rate for the integrated dangerous state occurrence event is calculated. ,
The information management method according to appendix 4, wherein the processing is further executed.
(Appendix 7)
From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Means for extracting;
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. Then, the means for integrating the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle to count as occurrence of one dangerous state,
An information processing apparatus comprising:
(Appendix 8)
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A difference value is obtained by subtracting a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and based on the difference value, Means for calculating the rate of occurrence of dangerous conditions in the area containing the occurrence location;
The information processing apparatus according to appendix 7, further comprising:
(Appendix 9)
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A count value obtained by counting the number of occurrences of the integrated dangerous state is divided by a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and a risk state occurrence rate for the integrated dangerous state occurrence event is calculated. Means,
The information processing apparatus according to appendix 7, further comprising:

DESCRIPTION OF SYMBOLS 1 Information processing system 10, 90 Information processing apparatus 11 Storage apparatus 12 Operation recording apparatus 13 Management apparatus 91 CPU
92 Main storage unit 93 Auxiliary storage unit 94 Communication unit 95 Input unit 96 Output unit 110 Operation information receiving unit 111 Map information DB
112 Traffic Information DB
113 Operation information DB
114 frequent occurrence point information DB
120 Hazardous State Frequent Spot Analysis Unit 130 Frequent Spot Information Transmitter 140 Hazardous State Frequent Spot Map Display Unit

Claims (9)

In the program used to count the number of occurrences of dangerous situations for vehicles,
On the computer,
From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Extract and
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. then, counted as the occurrence of the first of said and generation of hazardous condition, wherein by integrating the occurrence of hazardous conditions one hazardous condition of the second vehicle of the vehicle,
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A difference value is obtained by subtracting a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and based on the difference value, Calculate the rate of occurrence of dangerous conditions in the area containing the occurrence location,
An information management program for executing processing. In the information management method used for counting the number of occurrences of dangerous states for vehicles,
Computer
From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Extract and
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. then, counted as the occurrence of the first of said and generation of hazardous condition, wherein by integrating the occurrence of hazardous conditions one hazardous condition of the second vehicle of the vehicle,
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
Occurrence of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle
Subtracting the count value obtained by counting the number of times to obtain a difference value, and calculating the occurrence rate of the dangerous state in the region including the integrated place of occurrence of the dangerous state based on the difference value,
An information management method for executing processing. From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Means for extracting;
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. Then, the means for integrating the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle to count as occurrence of one dangerous state,
Means for counting the number of occurrences of the dangerous state by vehicle;
Means for counting the number of occurrences of the integrated dangerous state;
A difference value is obtained by subtracting a count value obtained by counting the number of occurrences of the integrated dangerous state from a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and based on the difference value, Means for calculating the rate of occurrence of dangerous conditions in the area containing the occurrence location;
An information processing apparatus comprising: In the program used to count the number of occurrences of dangerous situations for vehicles,
On the computer,
From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Extract and
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. then, counted as the occurrence of the first of said and generation of hazardous condition, wherein by integrating the occurrence of hazardous conditions one hazardous condition of the second vehicle of the vehicle,
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A count value obtained by counting the number of occurrences of the integrated dangerous state is divided by a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and a risk state occurrence rate for the integrated dangerous state occurrence event is calculated. ,
An information management program for executing processing. In the information management method used for counting the number of occurrences of dangerous states for vehicles,
Computer
From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Extract and
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. then, counted as the occurrence of the first of said and generation of hazardous condition, wherein by integrating the occurrence of hazardous conditions one hazardous condition of the second vehicle of the vehicle,
Count the number of occurrences of the dangerous state by vehicle,
Count the number of occurrences of the integrated dangerous state,
A count value obtained by counting the number of occurrences of the integrated dangerous state is divided by a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and a risk state occurrence rate for the integrated dangerous state occurrence event is calculated. ,
An information management method for executing processing. From the travel information of the vehicle, a first time and a first place where the dangerous state occurs in the first vehicle, a second time and a second place where the dangerous state occurs in the second vehicle, and Means for extracting;
Detecting that the extracted first time and second time are within a predetermined time width, and that the first occurrence location and the second occurrence location are within a predetermined distance range. Then, the means for integrating the occurrence of the dangerous state of the first vehicle and the occurrence of the dangerous state of the second vehicle to count as occurrence of one dangerous state,
Means for counting the number of occurrences of the dangerous state by vehicle;
Means for counting the number of occurrences of the integrated dangerous state;
A count value obtained by counting the number of occurrences of the integrated dangerous state is divided by a count value obtained by counting the number of occurrences of the dangerous state for each vehicle, and a risk state occurrence rate for the integrated dangerous state occurrence event is calculated. Means,
An information processing apparatus comprising: The number of occurrences of a dangerous state in which the time when the dangerous state occurs in a specific area is within a predetermined time width and the place where the dangerous state occurs is within a predetermined distance range among the traveling information of a plurality of vehicles Count
Using the value obtained by subtracting the counted number of occurrences from the total number of occurrences of the dangerous state in the specific area of the traveling information of the plurality of vehicles, and the number of vehicles that have passed the specific area, An information management program that causes a computer to execute a process that calculates the incidence rate. The number of occurrences of a dangerous state in which the time when the dangerous state occurs in a specific area is within a predetermined time width and the place where the dangerous state occurs is within a predetermined distance range among the traveling information of a plurality of vehicles Count
Using the value obtained by subtracting the counted number of occurrences from the total number of occurrences of the dangerous state in the specific area of the traveling information of the plurality of vehicles, and the number of vehicles that have passed the specific area, An information management method in which a computer executes processing to calculate the incidence rate. The number of occurrences of a dangerous state in which the time when the dangerous state occurs in a specific area is within a predetermined time width and the place where the dangerous state occurs is within a predetermined distance range among the traveling information of a plurality of vehicles Means for counting
Using the value obtained by subtracting the counted number of occurrences from the total number of occurrences of the dangerous state in the specific area of the traveling information of the plurality of vehicles, and the number of vehicles that have passed the specific area, An information processing apparatus comprising means for calculating an occurrence rate.

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