JP2014186398A - Information providing method, output control method, information providing device, information providing program, on-vehicle device and output control program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To ensure appropriate alerting in consideration of traffic.SOLUTION: In an information providing method, a computer executes processing for calculating a rate of dangerous event occurrence at a certain spot on a road on the basis of the number of vehicles passing the certain spot and the number of vehicles performing sudden brake operation or sudden acceleration operation at the certain spot (S315). In the information providing method, the computer outputs information based on the rate of dangerous event occurrence (S321).

Description

  The present invention relates to an information providing method, an output control method, an information providing device, an information providing program, an in-vehicle device, and an output control program.

  2. Description of the Related Art Conventionally, in order to reduce vehicle accidents, there is a system that alerts a driver who drives a vehicle using information on a point where the vehicle is likely to cause an accident. For example, in such a conventional system, the server notifies the vehicle-mounted device mounted on the vehicle of information about a point where the vehicle is likely to cause an accident, and the vehicle-mounted device uses the information to identify a point where the accident is likely to occur. When the vehicle passes, an alarm is notified to the driver. An example of the on-vehicle device is a digital tachograph. In the conventional system, for example, the server generates a phenomenon in which the speed of the vehicle on which the vehicle-mounted device is mounted is decelerated by a predetermined speed or more based on the speed and position transmitted from the vehicle-mounted device, that is, so-called sudden braking. Detect the occurrence and identify the point where sudden braking occurred. In the conventional system, the server generates information about a point where the number of sudden braking occurrences is a predetermined value or more, and notifies the in-vehicle device of the generated information.

  As a related technique, there is a device that notifies the moving body of the degree of danger of the moving body on which the route guidance device is mounted. In such a device, when the number of sudden braking operations is extremely large, a predetermined value is lowered to make it easier for the driver to be notified of the danger. In addition, there is a technique for providing map data of points where the number of sudden braking occurrences exceeds a predetermined value to business establishments such as taxis and buses for alerting.

JP 2004-78320 A

  However, in the above-described conventional system, there is a problem that an in-vehicle device mounted on a vehicle traveling on a road with a small amount of traffic, that is, a road with a small number of passing vehicles, may not be able to alert. is there. For example, on a road with a small number of vehicles to pass, the number of vehicles to pass is small compared to a road with a large number of vehicles to pass, so the number of sudden braking tends to be small. Therefore, even on roads that require attention, such as roads with a high frequency of sudden braking with respect to the number of vehicles that pass, the in-vehicle device that is mounted on a vehicle that is traveling on a road with a small number of vehicles that pass Then, there is a tendency not to call attention. Therefore, the conventional system has a problem that it may not be possible to call attention on a road with a small amount of traffic.

  In one aspect, the objective is to optimize the alerting in consideration of traffic volume.

  In one aspect, the information providing method includes the occurrence of a dangerous event at a point based on the number of vehicles that have passed a certain point on the road and the number of vehicles that have suddenly operated or accelerated at a certain point. A process for calculating the rate is executed. In the information providing method, the computer outputs information based on the occurrence rate of dangerous events.

  It is possible to optimize the alerting in consideration of traffic volume.

FIG. 1 is a diagram illustrating an example of a configuration of a system having a server and a digital octopus as an example of an information providing apparatus according to the first embodiment. FIG. 2 is a diagram illustrating an example of the data structure of the digital tachometer data. FIG. 3 is a diagram illustrating an example of a functional configuration of each device of the digital octopus, the user terminal, and the server according to the first embodiment. FIG. 4 is a diagram illustrating an example of operation data. FIG. 5 is a diagram illustrating an example of a data structure of the sudden brake occurrence area. FIG. 6 is a diagram illustrating an example of a data structure of the sudden braking number table. FIG. 7 is a diagram illustrating an example of a data structure of the traffic amount table. FIG. 8 is a diagram illustrating an example of a data structure of the sudden brake occurrence rate table. FIG. 9 is a flowchart illustrating the procedure of the alarm output control process according to the first embodiment. FIG. 10 is a flowchart of the first information providing process according to the first embodiment. FIG. 11 is a flowchart illustrating the procedure of the second information providing process according to the first embodiment. FIG. 12 is a diagram for explaining an example of processing for outputting an alarm. FIG. 13 is a diagram illustrating an example of a map image. FIG. 14 is a diagram for explaining an example of processing for outputting an alarm. FIG. 15 is a diagram illustrating a computer that executes an information providing program. FIG. 16 is a diagram illustrating a computer that executes an output control program.

  Embodiments of an information providing method, an output control method, an information providing device, an information providing program, an in-vehicle device, and an output control program disclosed in the present application will be described below in detail with reference to the drawings. The embodiments do not limit the disclosed technology.

  An information providing apparatus according to the first embodiment will be described. FIG. 1 is a diagram illustrating an example of a configuration of a system having a server and a digital octopus as an example of an information providing apparatus according to the first embodiment. Here, “digital tachograph” is an abbreviation of “digital tachograph”.

[Example of system configuration]
As shown in FIG. 1, the system 1 includes a digital octopus 2 that is an in-vehicle device mounted on a vehicle 20, a user terminal 3, and a server 4. The digital octopus 2 can perform wireless communication with a base station 5 a provided in the network 5 and can communicate with the server 4 via the network 5. For example, the digital octopus 2 generates digital octopus data at a predetermined time (for example, 1 second) interval, and transmits the generated digital octopus data to the server 4. The digital tachometer data includes various information such as the position and speed of the vehicle.

  FIG. 2 is a diagram illustrating an example of the data structure of the digital tachometer data. The digital tachometer data 6 shown in the example of FIG. 2 includes items of “vehicle ID”, “date and time”, “position”, and “speed”. In the “vehicle ID” item, an ID (Identification) for identifying the vehicle 20 on which the digital octopus 2 that transmits the digital octopus data 6 is mounted is registered. In the “date and time” item, the date and time when the digital tachometer data 6 is generated are registered. In the “position” item, the latitude and longitude where the vehicle identified by the ID registered in the “vehicle ID” item is registered at the date and time registered in the “date and time” item. . In the “speed” item, the speed of the vehicle identified by the ID registered in the “vehicle ID” item at the date and time registered in the “date and time” item is registered. For example, the digital tachometer data 6 shown in the example of FIG. 2 indicates that the digital tachometer 2 mounted on the vehicle 20 identified by the ID “AA” was generated at 17:15:12 on August 15, 2012. In addition to this, the digital tachometer data 6 shown in the example of FIG. 2 indicates that the latitude at which the vehicle 20 identified by the ID “AA” is located is “035.39. 301 "indicating that the longitude is" 139.44437 ". Further, the digital tachometer data 6 shown in the example of FIG. 2 indicates that the speed of the vehicle 20 identified by the ID “AA” at 17:15:12 on August 15, 2012 is “53” km / h. Show.

  Further, the digital octopus 2 is connected to the server 100 via the network 5 in an area where the sudden brake occurrence rate, which will be described later, is higher, or an area where the sudden brake occurrence rate is a predetermined value α (for example, 0.4) or more. Receive information. Then, the digital octopus 2 uses the received information, and the vehicle 20 equipped with the digital octopus 2 travels in the top 100 areas where the sudden braking rate is higher or the area where the sudden braking rate is equal to or greater than the predetermined value α. It is determined whether the vehicle is a scheduled vehicle. If it is determined that the vehicle 20 equipped with the digital octopus 2 is a vehicle that is scheduled to travel in the top 100 areas where the sudden braking rate is higher or the area where the sudden braking rate is equal to or greater than the predetermined value α, 2 outputs an alarm.

  The user terminal 3 is various terminals operated by a user such as a PC (Personal Computer) or a tablet terminal. For example, the user terminal 3 includes an operation receiving unit such as a keyboard that receives a user operation, and a display unit that displays various images. When the operation reception unit receives an instruction to transmit a map image of a sudden braking frequent area described later from the user, the user terminal 3 transmits the instruction to the server 4 via the network 5. In addition, when the user terminal 3 receives a map image of a sudden braking frequent area described later transmitted from the server 4 via the network 5, the user terminal 3 displays the received sudden braking frequent map area image on the display unit.

  The server 4 accumulates the digitacho data transmitted from the digitacho 2, and uses the accumulated digitacho data to divide the number of sudden braking occurrences per unit time by the number of traveling units per unit time for each area, that is, Calculate the sudden braking rate per unit time. And the server 4 produces | generates the information of the area where the sudden brake occurrence rate is the top 100 areas, or the sudden brake occurrence rate is a predetermined value α (for example, 0.4) or more. Subsequently, the server 4 transmits the generated information to the digital octopus 2. Further, when the server 4 receives an instruction to transmit a map image of a sudden braking frequent area described later from the user terminal 3 via the network 5, the server 4 transmits the sudden braking frequent map area image to the user terminal 3. To do.

  As described above, in the system 1, a warning is given to the driver who drives the vehicle 20 that is scheduled to pass through the top 100 areas where the sudden braking occurrence rate is equal to or higher than the predetermined value α. . Therefore, according to the system 1, it is possible to optimize the alerting in consideration of the traffic volume.

  Further, in the system 1, information on the top 100 areas with the sudden braking occurrence rate or an area having a predetermined value α or more is transmitted to the digital octopus 2 and the user terminal 3. Therefore, according to the system 1, it is possible to transmit information that can optimize the alerting in consideration of the traffic volume to the digital octopus 2 and the user terminal 3.

  Next, an example of a functional configuration of each device of the digital octopus 2, the user terminal 3, and the server 4 will be described with reference to FIG. FIG. 3 is a diagram illustrating an example of a functional configuration of each device of the digital octopus, the user terminal, and the server according to the first embodiment.

  As shown in FIG. 3, the digital octopus 2 includes a first detection unit 2a, a second detection unit 2b, a generation unit 2c, a communication unit 2d, a prediction unit 2e, and an output unit 2f.

  The first detection unit 2a detects the speed of the vehicle 20 equipped with the digital octopus 2 from a detection result such as a speed sensor (not shown) at a predetermined time interval, for example, at an interval of 1 second.

  The second detection unit 2b uses the GPS (Global Positioning System) receiver (not shown) to receive the latitude and longitude position information where the vehicle 20 equipped with the digital octopus 2 is located based on GPS data from GPS satellites at predetermined time intervals. For example, detection is performed at intervals of 1 second.

  The generation unit 2c generates the digital tachometer data 6 as shown in the example of FIG. 2 at a predetermined time interval, for example, one second interval. For example, the generating unit 2c registers an ID for identifying the vehicle 20 on which the digital octopus 2 is mounted in the “vehicle ID” item, registers the current date and time in the “date and time” item, and The contents are registered in the following items, and the digital tachometer data 6 is generated at predetermined time intervals. That is, the generation unit 2c registers the latitude and longitude detected by the second detection unit 2b in the “position” item, and registers the speed detected by the first detection unit 2a in the “speed” item. Thus, the digital tachometer data 6 is generated at predetermined time intervals.

  The communication unit 2d performs wireless communication. For example, the communication unit 2 d performs wireless communication with the base station 5 a and transmits the digital tachometer data 6 to the server 4 via the base station 5 a and the network 5 every time the digital tachometer data 6 is generated by the generation unit 2 c. Further, the communication unit 2d receives information on the top 100 areas having a sudden brake occurrence rate, which will be described later, or areas where the sudden brake occurrence rate is equal to or greater than a predetermined value α from the server 4 via the network 5 and the base station 5a. Receive. Then, the communication unit 2d transmits the received information to the prediction unit 2e.

  The prediction unit 2e uses the speed detected by the first detection unit 2a and the history of the position detected by the second detection unit 2b to predict the traveling direction of the vehicle 20 on which the digital octopus 2 is mounted by a known technique. To do. And the prediction part 2e performs the following process using the information of a prediction result and the sudden brake frequent occurrence area transmitted from the communication part 2d. That is, the prediction unit 2e determines whether the vehicle 20 on which the digital octopus 2 is mounted is a vehicle that is scheduled to travel in the top 100 areas where the sudden braking occurrence rate is higher or the area where the sudden braking occurrence rate is equal to or greater than the predetermined value α. Determine whether or not. If it is determined that the vehicle 20 on which the digital octopus 2 is mounted is a vehicle that is scheduled to travel in the top 100 areas where the sudden braking rate is higher or the area where the sudden braking rate is equal to or greater than the predetermined value α. The unit 2e performs the following process. That is, the prediction unit 2e controls the output unit 2f so as to output an alarm.

  The output unit 2f outputs various types of information. For example, the output unit 2f is an alarm device that outputs an alarm sound, and outputs an alarm sound under the control of the prediction unit 2e.

  As shown in FIG. 3, the user terminal 3 includes an operation receiving unit 3a, a communication unit 3b, a display control unit 3c, and a display unit 3d. The operation reception unit 3a receives a user operation. For example, the operation reception unit 3a receives from the user an instruction to transmit a map image of an area where sudden braking frequently occurs (severe braking area). Then, the operation reception unit 3a transmits the received instruction to the communication unit 3b. The operation reception unit 3a is a device that receives operations such as a keyboard.

  The communication unit 3 b communicates with the server 4 via the network 5. For example, when the communication unit 3b receives an instruction to transmit a map image of the sudden braking frequent area transmitted from the operation reception unit 3a, the communication unit 3b transmits the received instruction to the server 4 via the network 5. Further, when the communication unit 3b receives the map image of the sudden brake frequent occurrence area transmitted from the server 4 via the network 5, the communication unit 3b transmits the received map image to the display control unit 3c.

  The display control unit 3c controls display on the display unit 3d. For example, when receiving the map image of the sudden braking frequent occurrence area from the communication unit 3b, the display control unit 3c controls the display unit 3d to display the received map image.

  The display unit 3d displays various information. For example, the display unit 3d displays a map image of the sudden braking frequent occurrence area under the control of the display control unit 3c. The display unit 3d is a display device such as a liquid crystal display.

  As illustrated in FIG. 3, the server 4 includes a communication unit 7, a storage unit 8, and a control unit 9.

  The communication unit 7 communicates with the communication unit 2d via the network 5 and the base station 5a. The communication unit 7 communicates with the communication unit 3 b via the network 5. For example, when the communication unit 7 receives the digital tacho data 6 transmitted by the communication unit 2 d via the base station 5 a and the network 5, the communication unit 7 transmits the received digital tacho data 6 to the control unit 9. In addition, when the communication unit 7 receives the information of the top 100 areas where the after-mentioned sudden braking occurrence rate transmitted from the control unit 9 or the sudden braking occurrence rate is equal to or greater than the predetermined value α, the received information Is transmitted to the digital octopus 2 through the network 5 and the base station 5a. In addition, when the communication unit 7 receives an instruction to transmit a map image of a sudden brake frequent occurrence area (described later) transmitted from the user terminal 3 via the network 5, the communication unit 7 transmits the received instruction to the control unit 9. In addition, when the communication unit 7 receives a map image of a sudden braking frequent occurrence area (described later) transmitted from the control unit 9, the communication unit 7 transmits the received map image to the user terminal 3 via the network 5.

  The storage unit 8 includes operation data 8a, a sudden brake occurrence area 8b, a sudden brake frequency table 8c, a traffic amount table 8d, and a sudden brake occurrence rate table 8e.

  The digital tachometer data 6 is accumulated in the operation data 8a. FIG. 4 is a diagram illustrating an example of operation data. The operation data 8a shown in the example of FIG. 4 shows a case where a plurality of digital tachometer data 6 is accumulated. As shown in the example of FIG. 4, the operation data 8 a stores the digital tachometer data 6 from a predetermined period, for example, two years before the current time to the current time. Here, in the operation data 8a, the digitacho data 6 transmitted from the digitacho 2 is registered and accumulated by a registration unit 9a described later.

  In the sudden brake occurrence area 8b, the latitude (start latitude) that is the start point of each area when the entire range on the map data is divided into areas of a predetermined range, the longitude (start longitude) that is the start point, and the latitude that is the end point The (end point latitude) and the end point longitude (end point longitude) are registered for each area. Here, as an example of the area of the predetermined range, an area of latitude 1 second × longitude 1 second or an area of latitude 3 seconds × longitude 3 seconds can be mentioned. FIG. 5 shows an example of the data structure of the sudden braking occurrence area. In the sudden brake occurrence area 8b shown in the example of FIG. 5, the start point latitude, start point longitude, end point latitude, and end point longitude of the area are registered for each record. As shown in the example of FIG. 5, the sudden brake occurrence area 8b includes items of “No”, “start latitude”, “start longitude”, “end latitude”, and “end longitude”. In the “No” item, a number for identifying an area is registered. In the item “latitude of starting point”, the latitude that is the starting point of the area identified by the number registered in the item of “No” is registered. In the item “starting longitude”, the longitude that is the starting point of the area identified by the number registered in the “No” item is registered. In the “end point latitude” item, the latitude that is the end point of the area identified by the number registered in the “No” item is registered. In the “end point longitude” item, the longitude that is the end point of the area identified by the number registered in the “No” item is registered. For example, in the first record of the sudden brake occurrence area 8b shown in the example of FIG. 5, the start point latitude of the area identified by the number “001” is “035.39.300” and the start point longitude is “139.44”. .435 ". In addition, in the first record of the sudden braking occurrence area 8b shown in the example of FIG. 5, the end point latitude of the area identified by the number “001” is “035.39.310” and the end point longitude is “ 139.44.445 ". The same applies to other records.

  The sudden brake frequency table 8c is a table in which the number of sudden brakes that have occurred is registered for each area. FIG. 6 is a diagram illustrating an example of a data structure of the sudden braking number table. The sudden brake frequency table 8c shown in the example of FIG. 6 includes items of “No” and “Rapid brake frequency”. In the “No” item, a number for identifying an area is registered in advance. The number of sudden brakes that occurred in the area identified by the number registered in the “No” item is registered in the “Abrupt Brake Count” item by the calculation unit 9b described later.

  The traffic amount table 8d is a table in which the number of vehicles passing through the area is registered for each area. FIG. 7 is a diagram illustrating an example of a data structure of the traffic amount table. The traffic volume table 8d illustrated in the example of FIG. 7 includes items “No” and “traffic volume”. In the “No” item, a number for identifying an area is registered in advance. In the “traffic amount” item, the number of vehicles that have passed through the area identified by the number registered in the “No” item is registered by the calculation unit 9b described later.

  The sudden brake occurrence rate table 8e is a value obtained by dividing the number of sudden brakes generated for each area by the number of vehicles that have passed, that is, a sudden brake indicating the rate of occurrence of sudden brakes per vehicle for each area. It is a table in which the occurrence rate is registered. Note that sudden braking occurs when the driver performs sudden braking operation on the vehicle. FIG. 8 is a diagram illustrating an example of a data structure of the sudden brake occurrence rate table. The sudden brake occurrence rate table 8e shown in the example of FIG. 8 includes “No”, “start point latitude”, “start point longitude”, “end point latitude”, “end point longitude”, “number of sudden brakes”, “traffic amount”, “ Each item has “occurrence rate” and “rank”. In the “No” item, a number for identifying an area is registered. In the item “latitude of starting point”, the latitude that is the starting point of the area identified by the number registered in the item of “No” is registered. In the item “starting longitude”, the longitude that is the starting point of the area identified by the number registered in the “No” item is registered. In the “end point latitude” item, the latitude that is the end point of the area identified by the number registered in the “No” item is registered. In the “end point longitude” item, the longitude that is the end point of the area identified by the number registered in the “No” item is registered. The number of sudden brakes that occurred in the area identified by the number registered in the “No” item is registered in the “Abrupt Brake Count” item by the calculation unit 9b described later. In the “traffic amount” item, the number of vehicles that have passed through the area identified by the number registered in the “No” item is registered by the calculation unit 9b described later. In the “occurrence rate” item, the sudden braking occurrence rate of the area identified by the number registered in the “No” item is registered by the calculation unit 9b described later. In the “rank” item, the rank of the occurrence rate registered in the “occurrence rate” item is registered. Here, the rank of the occurrence rate is such that the higher the occurrence rate, the higher the rank.

  Returning to the description of FIG. 3, the storage unit 8 is, for example, a semiconductor memory element such as a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 8 is not limited to the above-mentioned type of storage device, and may be a RAM (Random Access Memory) or a ROM (Read Only Memory).

  The control unit 9 has an internal memory for storing programs defining various processing procedures and control data, and executes various processes using these. As shown in FIG. 1, the control unit 9 includes a registration unit 9a, a calculation unit 9b, a generation unit 9c, a transmission control unit 9d, and a display control unit 9e.

  The registration unit 9a registers various data. For example, whenever the registration unit 9a receives the digital tachometer data 6 transmitted from the communication unit 7, the registration unit 9a registers the received digital tachometer data 6 in the operation data 8a as shown in the example of FIG.

  Returning to the description of FIG. 1, the calculation unit 9 b calculates various data. For example, the calculation unit 9b calculates the sudden braking occurrence rate in a certain area based on the number of vehicles that have passed through a certain area on the road and the number of vehicles that have performed a sudden braking operation in the certain area.

  One aspect of the calculation unit 9b will be described. First, the calculation unit 9b extracts the digital tachometer data 6 from one year before to the present time from all the digital tachometer data 6 of the operation data 8a. Then, the calculation unit 9b determines whether or not there is unselected digitacho data 6 in the extracted digitacho data 6.

  When there is unselected digitacho data 6, the calculation unit 9b selects one unselected digitacho data 6. Then, the calculation unit 9 b acquires the vehicle ID, date and time, position, and speed included in the selected digital tachometer data 6. For example, when the digital octopus data 6 registered in the first record is selected from the operation data 8a shown in the example of FIG. 4, the calculation unit 9b performs the following process. That is, the calculation unit 9b includes the ID “AA”, the date and time “August 15, 2012 17:15:12”, the position “latitude (035.339.301), and longitude (139.4.437). ) ”, And the speed“ 53 km / h ”is acquired. The speed acquired in this way may be denoted as S1.

  And the calculation part 9b specifies the number of the area containing the acquired position with reference to the sudden brake generation area 8b. For example, when the acquired position is “latitude (035.39.31), longitude (139.44437)”, the calculation unit 9b registers the contents of the sudden brake occurrence area 8b illustrated in the example of FIG. The following processing is performed with reference to FIG. That is, the calculation unit 9b specifies the number “001” of the area including the position “latitude (035.339.301), longitude (139.44437)”.

  Subsequently, the calculation unit 9b identifies the record registered in the item of the identified number “No” from the records of the traffic volume table 8d, and is registered in the “traffic volume” item of the identified record. The value of the number of vehicles is incremented by 1. For example, the specified number is “001” and the value of the number of vehicles registered in the “traffic amount” item of the record in which the number “001” is registered in the “No” item in the traffic amount table 8d is In the case of “3999”, the calculation unit 9b performs the following processing. That is, the value “3999” of the number of vehicles is incremented by 1, and the value of the number of vehicles is updated to “4000” as shown in the example of FIG.

  Then, the calculation unit 9b refers to the operation data 8a, and from the digital tachometer data 6 in which the acquired vehicle ID is registered in the item of “vehicle ID”, 1 second before the acquired date and time. The digital tachometer data 6 registered in the item of “date and time” of the date and time is specified. For example, when the acquired vehicle ID is “AA” and the acquired date and time are “August 15, 2012 17:15:12”, the calculation unit 9b calculates as follows: Perform proper processing. That is, the calculation unit 9b refers to the operation data 8a, and from the digital tachometer data 6 in which the vehicle ID “AA” is registered in the item “vehicle ID”, the date and time “August 15, 2012” “17:15:11” specifies the digital tachometer data 6 registered in the item “date and time”.

  Then, the calculation unit 9b acquires the speed included in the specified digital tachometer data 6. Note that the speed acquired in this way may be denoted as S2.

  Subsequently, the calculation unit 9b determines whether or not a value (S2-S1) obtained by subtracting the speed S1 from the speed S2 is a predetermined value, for example, 10 (km / h) or more. When (S2-S1) is equal to or greater than the predetermined value, the calculation unit 9b performs the following process. That is, the calculation unit 9b identifies the record registered in the item of the identified number “No” from the records of the sudden braking number table 8c, and is registered in the item “Number of sudden braking” of the identified record. The value of the number of sudden braking is incremented by 1. For example, the specified number is “001”, and the number of sudden brakes registered in the “sudden brake number” item of the record in which the number “001” is registered in the “No” item in the sudden brake number table 8c. When the value is “79”, the calculation unit 9b performs the following process. That is, the value “79” of the number of sudden braking is incremented by 1, and the value of the number of sudden braking is updated to “80” as shown in the example of FIG.

  Then, the calculation unit 9b performs the above-described process for determining again whether or not there is unselected digitacho data 6 in the extracted digitacho data 6. Even when (S2-S1) is not equal to or greater than the predetermined value, the calculation unit 9b performs the above-described process for determining again whether there is unselected digitacho data 6 in the extracted digitacho data 6. . When there is unselected digitacho data 6, the calculation unit 9b performs the above-described process of selecting one unselected digitacho data 6. And the calculation part 9b repeats the process mentioned above whenever it selects the non-selected digital tachometer data 6. As a result, the number of sudden brakes in each area from the current year to the present time and the number of vehicles that have passed are registered in the sudden brake number table 8c and the traffic amount table 8d, respectively.

  Here, the calculation unit 9b detects not only sudden braking, that is, a case where the deceleration amount per predetermined time is equal to or larger than a predetermined value, but also sudden acceleration, that is, a case where the acceleration amount per predetermined time is equal to or larger than the predetermined value. May be. In that case, the calculation part 9b should just determine whether the value (S1-S2) which subtracted speed S2 from speed S1 is more than predetermined value, for example, 10 (km / h). Then, a table for storing the number of sudden accelerations with the same configuration as the sudden braking number table 8c is prepared, and when the value obtained by subtracting the speed S2 from the speed S1 (S1-S2) is a predetermined value or more, the number of sudden accelerations The value registered in the item may be incremented by one. As a result, the number of sudden accelerations in each area from one year before the current time to the current time is registered in the table storing the number of sudden accelerations.

  On the other hand, when it is determined that there is no unselected digitacho data 6 in the extracted digitacho data 6, the calculation unit 9b performs the following process. In other words, the calculation unit 9b calculates the number of sudden brakings registered in the item of “sudden braking number” in the sudden braking number table 8c, and sets the item of “sudden braking number” in the corresponding record in the sudden braking rate table 8e. Register with. In addition, the calculation unit 9b calculates the number of all the vehicles that have been registered in the item “traffic amount” of the sudden braking frequency table 8c, and the “traffic amount” of the corresponding record in the sudden braking rate table 8e. Register the item. Note that when the number of sudden braking and the number of vehicles that have passed are registered, nothing is registered in the items “occurrence rate” and “order” of the sudden braking rate table 8e.

  Then, the calculating unit 9b determines whether or not there is an unselected record among all the records in the sudden brake occurrence rate table 8e. When there is an unselected record, the calculation unit 9b selects one unselected record. Then, the calculation unit 9b acquires the number of sudden brakes registered in the “number of sudden brakes” of the selected record and the number of vehicles that have been registered registered in the “traffic amount”. For example, when the first record of the sudden braking occurrence rate table 8e shown in the example of FIG. 8 is selected, the calculating unit 9b calculates the number of sudden brakings “80” and the number of vehicles passed “4000”. Is obtained.

  Then, the calculation unit 9b calculates an abrupt brake occurrence rate (the number of sudden brakes / the number of vehicles) obtained by dividing the obtained number of sudden brakes by the number of acquired vehicles. For example, when the number of sudden brakings “80” and the number of vehicles that have passed “4000” are acquired, the calculation unit 9b calculates the sudden braking occurrence rate “0.020 (80/4000)”. Then, the calculation unit 9b registers the calculated sudden brake occurrence rate in the item “occurrence rate” of the corresponding record. For example, when the sudden brake occurrence rate “0.020” is calculated, the calculation unit 9b, as shown in the example of FIG. 8, the “occurrence rate” of the first record of the sudden brake occurrence rate table 8e. In the item, “0.020” is registered. At the time when the sudden brake occurrence rate is registered, nothing is registered in the item “rank” of the sudden brake occurrence rate table 8e.

  Then, the calculation unit 9b selects one unselected record in the sudden brake occurrence rate table 8e one by one until there are no unselected records in all the records in the sudden brake occurrence rate table 8e. In addition, each time an unselected record is selected, the calculation unit 9b calculates the number of sudden brakes registered in the “sudden brake count” of the selected record and the number of vehicles passed in the “traffic amount”. The above-described processing for acquiring the above is performed. Then, the calculation unit 9b performs the above-described process of calculating the sudden brake occurrence rate by dividing the acquired number of sudden brakes by the number of acquired vehicles. Then, the calculation unit 9b performs the above-described process of registering the calculated sudden brake occurrence rate in the “occurrence rate” item of the corresponding record. By performing the processing as described above, the calculation unit 9b calculates the sudden brake occurrence rate of all records in the sudden brake occurrence rate table 8e, and registers the calculated sudden brake occurrence rate in the sudden brake occurrence rate table 8e.

  When it is determined that there is no unselected record among all the records in the sudden brake occurrence rate table 8e, the calculation unit 9b becomes higher as the occurrence rate registered in the “occurrence rate” item is larger. As described above, the rank is registered in the item “rank” of the sudden brake occurrence rate table 8e. For example, as shown in the example of FIG. 8, the rank is registered in the item “rank” of the sudden brake occurrence rate table 8e.

  Here, if the calculation unit 9b detects not only the sudden brake but also the sudden acceleration, the sudden acceleration occurrence rate may be calculated in the same manner as the sudden brake occurrence rate. That is, the calculation unit 9b calculates a sudden acceleration occurrence rate (the number of sudden accelerations / the number of vehicles) obtained by dividing the acquired number of sudden accelerations by the number of acquired vehicles. For the item “occurrence rate” of the record, the occurrence rate of sudden braking and the occurrence rate of sudden acceleration may be registered. Then, the calculating unit 9b may register a rank in the “rank” item separately from the rank of the sudden brake occurrence rate so that the higher the sudden acceleration occurrence rate, the higher the rank. Furthermore, sudden braking and rapid acceleration can be regarded as dangerous events. Therefore, calculate the occurrence rate of dangerous events by dividing the number of sudden braking occurrences and sudden acceleration occurrences by the number of vehicles, and calculate the occurrence rate of this dangerous event as the “occurrence rate” of the record. It is also possible to register for this item. In this case, the calculation unit 9b registers the rank in the “rank” item of the sudden brake occurrence rate table 8e so that the higher the occurrence rate of the dangerous event registered in the “occurrence rate” item, the higher the occurrence rate. To do.

  Returning to the description of FIG. 3, the generation unit 9 c generates information based on the sudden braking occurrence rate. One aspect of the generation unit 9c will be described. For example, when the rank is registered in the item “rank” of the brake occurrence rate table 8e by the calculation unit 9b, the generation unit 9c performs the following process. That is, the generation unit 9c extracts from the brake occurrence rate table 8e the records whose ranks registered in the “rank” item are 1st to 100th. Alternatively, the generation unit 9c can extract, from the brake occurrence rate table 8e, a record in which the sudden brake occurrence rate registered in the item “occurrence rate” is equal to or greater than the predetermined value α.

  As described above, if the rapid acceleration is to be recorded, the generation unit 9c determines the rapid acceleration occurrence rate or the dangerous event occurrence rate in the same manner as the extraction of the high-order record for the sudden brake occurrence rate. Records with ranks from 1st to 100th may be extracted. Alternatively, the generation unit 9c can extract, from the brake occurrence rate table 8e, a record in which the rapid acceleration occurrence rate registered in the item “occurrence rate” or the occurrence rate of the dangerous event is equal to or greater than a predetermined value α.

  And the production | generation part 9c produces | generates the information of the area (sudden braking frequent occurrence area) where sudden braking occurs frequently using the extracted record. For example, the generation unit 9c uses the extracted record as information on the sudden braking frequent occurrence area. In addition, the production | generation part 9c can also perform the next process using map data. For example, the generation unit 9c generates a map image of the area indicated by the extracted record and the surrounding area, and adds the area number, the number of sudden brakings, the number of vehicles, and the sudden braking occurrence rate to the generated map image. An image can also be generated as information on sudden braking frequent occurrence areas. Then, the generation unit 9c stores the generated information on the sudden braking frequent occurrence area in the storage unit 8.

  In addition, as described above, if the rapid acceleration is to be recorded, the generation unit 9c generates rapid acceleration in the same manner as when generating information on an area where sudden braking frequently occurs (sudden braking frequent occurrence area). Information about an area or an area where dangerous events frequently occur may be generated.

  The transmission control unit 9d outputs information based on the sudden brake occurrence rate. For example, when the information on the sudden braking frequent occurrence area is stored in the storage unit 8 by the generation unit 9c, the transmission control unit 9d acquires the sudden braking frequent occurrence area information from the storage unit 8. Then, the transmission control unit 9d transmits the information on the sudden brake frequent occurrence area to the communication unit 7 so as to transmit the information on the sudden brake frequent occurrence area to the digital octopus 2 via the network 5 and the base station 5a. As a result, information on the sudden braking frequent occurrence area is transmitted to the digital octopus 2.

  Also here, as described above, if the rapid acceleration is to be recorded, the transmission control unit 9d may perform the following processing. For example, the transmission control unit 9d frequently causes rapid acceleration in the communication unit 7 so as to transmit an area where sudden acceleration frequently occurs or an area where dangerous events frequently occur to the digital octopus 2 via the network 5 and the base station 5a. Information on an area or an area where dangerous events frequently occur may be transmitted.

  The display control unit 9 e controls the communication unit 7 so as to transmit the map data of the sudden braking frequent occurrence area to the user terminal 3 in response to an instruction from the user terminal 3. One aspect of the display control unit 9e will be described. For example, when an instruction to transmit a map image of a sudden brake frequent occurrence area is transmitted from the communication unit 7, the display control unit 9 e indicates that the information of the sudden brake frequent occurrence area stored in the storage unit 8 is a map image. Performs the following processing. That is, the display control unit 9 e controls the communication unit 7 so as to acquire the map image of the sudden brake frequent occurrence area stored in the storage unit 8 and transmit the map image of the sudden brake frequent occurrence area to the user terminal 3. Thereby, the map image of the sudden braking frequent occurrence area is transmitted to the digital octopus 2. On the other hand, when the information on the sudden brake frequent occurrence area stored in the storage unit 8 is not a map image but a record extracted from the brake occurrence rate table 8e, the display control unit 9e performs the following process. That is, the display control unit 9e acquires the information on the sudden braking frequent area stored in the storage unit 8, and generates a map image of the area indicated by the sudden braking frequent information and the surrounding area using the map data. . Then, the display control unit 9e generates a map image obtained by adding the area number, the number of sudden brakings, the number of vehicles, and the sudden braking rate to the generated map image as a map image of the sudden braking frequent occurrence area. Then, the display control unit 9e controls the communication unit 7 so as to transmit the generated map image of the sudden braking frequent occurrence area to the user terminal 3.

  In addition, when an instruction to transmit a map image of an area where rapid acceleration frequently occurs is transmitted from the communication unit 7, the display control unit 9e performs the same process as described above, and an area where rapid acceleration frequently occurs The map image may be generated. Then, the display control unit 9e may control the communication unit 7 so as to transmit the generated map image of the area where the rapid acceleration frequently occurs to the user terminal 3.

  In addition, when an instruction to transmit a map image of an area where danger events frequently occur is transmitted from the communication unit 7, the display control unit 9e performs the same process as described above, and the area where danger events frequently occur The map image may be generated. And the display control part 9e may control the communication part 7 to transmit the map image of the area where the generated dangerous event occurs frequently to the user terminal 3.

  The control unit 9 is a circuit such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a central processing unit (CPU), or a micro processing unit (MPU).

[Process flow]
Next, the processing flow of the digital octopus 2 according to the present embodiment will be described. In the following description, an example in which information related to sudden braking is handled will be described. However, in addition to information related to sudden braking, information related to sudden acceleration and information related to dangerous events may be handled as processing targets.

  FIG. 9 is a flowchart illustrating the procedure of the alarm output control process according to the first embodiment. The alarm output control process according to the first embodiment is executed by the digital octopus 2 at a predetermined time interval, for example, at an interval of 1 second.

  As shown in FIG. 9, the prediction unit 2e mounts the digital octopus 2 by a known technique using the speed detected by the first detection unit 2a and the history of the position detected by the second detection unit 2b. The traveling direction of the vehicle 20 is predicted (S101). Then, the prediction unit 2e uses the prediction result and the information on the sudden braking frequent occurrence area transmitted from the communication unit 2d, so that the vehicle 20 equipped with the digital octopus 2 travels in the top 100 areas with the rapid braking occurrence rate. It is determined whether or not the vehicle is scheduled to be used. Alternatively, the prediction unit 2e uses the prediction result and the information transmitted from the communication unit 2d, and the vehicle 20 equipped with the digital octopus 2 is scheduled to travel in an area where the sudden brake occurrence rate is equal to or greater than the predetermined value α. It is determined whether it is a vehicle (S102). When it is determined that the vehicle 20 equipped with the digital octopus 2 is a vehicle that is scheduled to travel in the top 100 areas where the sudden braking occurrence rate is higher or the area where the sudden braking occurrence rate is equal to or greater than the predetermined value α (S102; Yes) ), The prediction unit 2e performs the following process. That is, the prediction unit 2e controls the output unit 2f to output an alarm (S103), and ends the process.

  Next, a processing flow of the server 4 according to the present embodiment will be described. FIG. 10 is a flowchart of the first information providing process according to the first embodiment. Note that the flowchart showing the procedure of the first information providing process shown in FIG. 10 is executed when the information on the sudden brake frequent occurrence area stored in the storage unit 8 is a record extracted from the brake occurrence rate table 8e. It is a flowchart which shows the procedure of a process.

  As shown in FIG. 10, the display control unit 9e determines whether or not an instruction to transmit a map image of a sudden braking frequent occurrence area has been received (S201). If not received (S201; No), the display control unit 9e performs the process of S201 again. On the other hand, when it receives (S201; Yes), the display control part 9e acquires the information of the sudden brake frequent occurrence area memorize | stored in the memory | storage part 8, and the information of the sudden brake frequent occurrence area shows using map data. A map image of the area and the surrounding area is generated (S202). Then, the display control unit 9e generates a map image in which the area number, the number of sudden brakings, the number of vehicles, and the sudden braking occurrence rate are added to the generated map image as a map image of the sudden braking frequent area (S203). Then, the display control unit 9e controls the communication unit 7 so as to transmit the generated map image of the sudden braking frequent occurrence area to the user terminal 3 (S204), and ends the process.

  FIG. 11 is a flowchart illustrating the procedure of the second information providing process according to the first embodiment. The second information providing process according to the present embodiment is executed by the server 4 at predetermined time intervals, for example, at 24 hour intervals.

  As shown in FIG. 11, the calculation unit 9b extracts the digital tachometer data 6 from one year before to the present time from all the digital tachometer data 6 of the operation data 8a (S301). Then, the calculation unit 9b determines whether or not there is unselected digitacho data 6 in the extracted digitacho data 6 (S302).

  When there is unselected digital tachometer data 6 (S302; Yes), the calculation unit 9b selects one unselected digital tachometer data 6 (S303). Then, the calculation unit 9b acquires the vehicle ID, date and time, position, and speed S1 included in the selected digital tachometer data 6 (S304).

  Then, the calculation unit 9b refers to the sudden braking occurrence area 8b and specifies the number of the area including the acquired position (S305). Subsequently, the calculation unit 9b identifies the record registered in the item of the identified number “No” from the records of the traffic volume table 8d, and is registered in the “traffic volume” item of the identified record. The value of the number of vehicles is incremented by 1 (S306).

  Next, the calculation unit 9b refers to the operation data 8a and performs the following process. That is, the calculation unit 9b has the date and time one second before the acquired date and time from the digital tachometer data 6 registered in the item of the acquired vehicle ID “vehicle ID”. The digital tachometer data 6 registered in the item “date and time” is specified (S307).

  Then, the calculation unit 9b acquires the speed S2 included in the specified digital tachometer data 6 (S308). Subsequently, the calculation unit 9b determines whether or not a value obtained by subtracting the speed S1 from the speed S2 (S2-S1) is a predetermined value, for example, 10 (km / h) or more (S309). When (S2-S1) is equal to or greater than a predetermined value (S309; Yes), the calculation unit 9b records the specified number registered in the item “No” from the records in the sudden braking frequency table 8c. The following processing is performed. That is, the calculation unit 9b increments the value of the number of times of sudden braking registered in the item of “number of sudden braking” of the specified record by 1 (S310), and returns to S302. Moreover, also when (S2-S1) is not beyond a predetermined value (S309; No), the calculation part 9b returns to S302.

  When there is no unselected digital tachometer data 6 (S302; No), the calculation unit 9b performs the following process. In other words, the calculation unit 9b calculates the number of sudden brakings registered in the item of “sudden braking number” in the sudden braking number table 8c, and sets the item of “sudden braking number” in the corresponding record in the sudden braking rate table 8e. Register with. In addition, the calculation unit 9b calculates the number of all the vehicles that have been registered in the item “traffic amount” of the sudden braking frequency table 8c, and the “traffic amount” of the corresponding record in the sudden braking rate table 8e. (S311).

  Then, the calculation unit 9b determines whether there is an unselected record among all the records in the sudden brake occurrence rate table 8e (S312). When there is an unselected record (S312; Yes), the calculation unit 9b selects one unselected record (S313). Then, the calculation unit 9b acquires the number of sudden brakes registered in the “number of sudden brakes” of the selected record and the number of vehicles that have been registered registered in the “traffic amount” (S314).

  Then, the calculation unit 9b calculates a sudden brake occurrence rate (the number of sudden brakes / the number of vehicles) obtained by dividing the obtained number of sudden brakes by the number of acquired vehicles (S315). Then, the calculation unit 9b registers the calculated sudden braking occurrence rate in the item “occurrence rate” of the corresponding record (S316), and returns to S312.

  Then, when there is no unselected record among all the records in the sudden brake occurrence rate table 8e (S312; No), the calculation unit 9b performs the following process. That is, the calculation unit 9b registers the rank in the “rank” item of the sudden brake occurrence rate table 8e so that the higher the occurrence rate registered in the “occurrence rate” item, the higher the rank (S317).

  Then, the generation unit 9c extracts, from the brake occurrence rate table 8e, records whose ranks registered in the item “ranking” are 1st to 100th. Alternatively, the generation unit 9c extracts, from the brake occurrence rate table 8e, a record in which the sudden brake occurrence rate registered in the item “occurrence rate” is equal to or greater than the predetermined value α (S318).

  And the production | generation part 9c produces | generates the information of a sudden brake frequent occurrence area using the extracted record (S319). And the production | generation part 9c stores the information of the produced | generated sudden brake frequent occurrence area in the memory | storage part 8 (S320).

  Then, the transmission control unit 9 d acquires information on the sudden braking frequent occurrence area from the storage unit 8. Then, the transmission control unit 9d transmits the information on the sudden brake frequent occurrence area to the communication unit 7 so as to transmit the information on the sudden brake frequent occurrence area to the digital octopus 2 via the network 5 and the base station 5a (S321). End the process.

  Here, an example of the timing of the process of controlling the output unit 2f so that the prediction unit 2e outputs an alarm in S103 will be described. FIG. 12 is a diagram for explaining an example of processing for outputting an alarm. For example, as shown in the example of FIG. 12, the vehicle 20 is a vehicle that is scheduled to travel in the top 100 areas 60 with the sudden braking occurrence rate or the area 60 with the sudden braking occurrence rate equal to or greater than a predetermined value α. In this case, the prediction unit 2e performs the following process. That is, the predicting unit 2 e controls the output unit 2 f so as to output an alarm at the timing when the vehicle 20 enters the area 61 around the area 60.

  An example of a map image generated by the display control unit 9e in S203 will be described. FIG. 13 is a diagram illustrating an example of a map image. The map image shown in the example of FIG. 13 illustrates a case where the top 100 areas 60 with the sudden braking occurrence rate or the areas 60 with the sudden braking occurrence rate equal to or greater than the predetermined value α are included. Further, the map image shown in the example of FIG. 13 includes the area 60 number “001”, the number of sudden brakings “80”, the number of vehicles passed “4000”, and the sudden braking rate “0.020”. Show the case.

  As described above, the server 4 according to the first embodiment calculates the sudden braking rate at a certain point based on the number of vehicles that have passed a certain point on the road and the number of vehicles that have performed a sudden braking operation at the certain point. calculate. And the server 4 outputs the information of the sudden brake frequent occurrence area based on the sudden brake occurrence rate, and the map image of the sudden brake frequent occurrence area. Therefore, according to the server 4, it is possible to optimize the alerting in consideration of the traffic volume.

  In addition, the digital octopus 2 according to the first embodiment performs control to output an alarm for a sudden braking frequent occurrence area where the sudden braking occurrence rate exceeds a predetermined reference, and an alarm is provided for a point where the sudden braking occurrence rate does not exceed the predetermined reference. Control that does not output. Therefore, the digital octopus 2 controls whether or not to output an alarm based on the sudden brake occurrence rate, not the number of sudden brakes. Therefore, according to the digital octopus 2, it is possible to optimize the alerting in consideration of the traffic volume.

  Although the embodiments related to the disclosed apparatus have been described so far, the disclosed apparatus may be implemented in various different forms other than the embodiments described above. For example, the server 4 can be configured to have the function of the prediction unit 2 e included in the digital octopus 2. In this case, the server 4 predicts the traveling direction of the vehicle 20 on which the digital octopus 2 is mounted by a known technique. Then, the server 4 uses the prediction result and the information on the sudden braking frequent area transmitted from the communication unit 2d, so that the vehicle 20 equipped with the digital octopus 2 travels in the top 100 areas with the rapid braking occurrence rate. It is determined whether the vehicle is a scheduled vehicle. Alternatively, the server 4 uses the prediction result and the information on the sudden braking frequent area transmitted from the communication unit 2d, so that the vehicle 20 on which the digital octopus 2 is mounted has an area where the sudden braking occurrence rate is equal to or greater than the predetermined value α. It is determined whether the vehicle is scheduled to travel. If it is determined that the vehicle 20 equipped with the digital octopus 2 is a vehicle that is scheduled to travel in the top 100 areas where the sudden braking rate is higher or the area where the sudden braking rate is equal to or greater than the predetermined value α, 4 performs the following processing. That is, the server 4 controls the output unit 2f to output an alarm by transmitting an instruction to output an alarm to the output unit 2f of the digital octopus 2.

  Moreover, although the case where the calculation unit 9b calculates the sudden braking occurrence rate based on the digital tachometer data 6 from one year before to the present time has been described, the disclosed device is not limited thereto. For example, the calculation unit 9b calculates the sudden braking occurrence rate based on the digital tachometer data 6 in a predetermined time zone (for example, the time zone from 19:00 to 20:00) from one year before the current time to the current time. You can also. As a result, the alarm output control can be performed based on the sudden braking occurrence rate that matches the time zone in which the vehicle 20 is traveling, so that the alarm output control can be performed with high accuracy.

  Further, the calculation unit 9b performs rapid braking based on the digital tachometer data 6 in which the vehicle speed from one year before the current time to the current time is in a predetermined speed band (for example, a speed band from 40 km / h to 50 km / h). The incidence can also be calculated. As a result, the alarm output control can be performed based on the sudden braking occurrence rate that matches the speed zone in which the vehicle 20 is traveling, so that the alarm output control can be performed with high accuracy.

  Further, when the map image is transmitted from the server 4 to the digital octopus 2 as information on the sudden brake frequent occurrence area, it is determined that the vehicle 20 is a vehicle that is scheduled to travel in the area 60 with the highest sudden brake occurrence rate. Sometimes, the prediction unit 2e can perform the following processing. That is, the prediction unit 2e can also control a display unit (not shown) provided in the digital octopus 2 so as to display a map image as shown in FIG.

  Similarly, when the map image is transmitted from the server 4 to the digital octopus 2 as information on the sudden brake frequent occurrence area, the vehicle 20 is a vehicle scheduled to travel in the area 60 where the sudden brake occurrence rate is equal to or greater than the predetermined value α. When the determination is made, the prediction unit 2e can also perform the following process. That is, the prediction unit 2e can also control a display unit (not shown) provided in the digital octopus 2 to display a map image as shown in FIG.

  In addition, the prediction unit 2e can control the output unit 2f so as to output an alarm at timings other than those described above. FIG. 14 is a diagram for explaining an example of processing for outputting an alarm. For example, as shown in the example of FIG. 14, when the vehicle 20 is a vehicle scheduled to travel in a plurality of areas 60 with the highest sudden braking rate, the distance between the centers of the plurality of areas is a predetermined value. For example, when the distance is within 120 m, the prediction unit 2e can perform the following processing. For example, when the plurality of areas 60 are defined as one area, the prediction unit 2e can control the output unit 2f so as to output an alarm at the timing of entering the area 62 around the one area. As a result, the number of alarms to be output is suppressed as compared with the case where the output unit 2f is controlled to output an alarm each time a vehicle enters the area 61 around the plurality of areas 60. The annoyance felt is reduced.

  In addition, among the processes described in the embodiments, all or a part of the processes described as being automatically performed can be manually performed. In addition, among the processes described in the embodiments, all or a part of the processes described as being performed manually can be automatically performed by a known method.

  In addition, the processing at each step of each processing described in each embodiment can be arbitrarily finely divided or combined according to various loads and usage conditions. Also, the steps can be omitted.

  Further, the order of processing at each step of each processing described in each embodiment can be changed according to various loads and usage conditions.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific state of distribution / integration of each device is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

[Information provision program]
Various processes of the server 4 described in the above embodiment can be realized by executing a program prepared in advance on a computer system such as a personal computer or a workstation. Therefore, an example of a computer that executes an information providing program having the same function as that of the server 4 described in the above embodiment will be described below with reference to FIG. FIG. 15 is a diagram illustrating a computer that executes an information providing program.

  As illustrated in FIG. 15, the computer 300 includes a CPU 310, a ROM 320, an HDD (Hard Disk Drive) 330, and a RAM 340. These devices 310 to 340 are connected via a bus 350.

  The ROM 320 stores basic programs such as an OS. In addition, the HDD 330 stores in advance an information providing program 330a that exhibits the same function as each of the units 9a to 9e shown in the above embodiment. Note that the information providing program 330a may be separated as appropriate. Also, the HDD 330 is provided with various data and various tables stored in the storage unit 8.

  Then, the CPU 310 reads the information providing program 330a from the HDD 330 and executes it.

  Then, the CPU 310 reads out various data and various tables and stores them in the RAM 340. Further, the CPU 310 executes the information providing program 330 a using various data and various tables stored in the RAM 340. Note that the data stored in the RAM 340 may not always be stored in the RAM 340. Data used for processing may be stored in the RAM 340.

[Output control program]
Various processes of the digital octopus 2 described in the above embodiment can be realized by executing a program prepared in advance on a computer system such as a personal computer or a workstation. In the following, an example of a computer that executes an output control program having the same function as that of the digital octopus 2 described in the above embodiment will be described with reference to FIG. FIG. 16 is a diagram illustrating a computer that executes an output control program.

  As illustrated in FIG. 16, the computer 400 includes a CPU 410, a ROM 420, an HDD 430, and a RAM 440. These devices 410 to 440 are connected via a bus 450.

  The ROM 420 stores a basic program such as an OS. Also, the HDD 430 stores in advance an output control program 430a that exhibits the same functions as the units 2a to 2f described in the above embodiment. Note that the output control program 430a may be separated as appropriate. Also, the HDD 430 is provided with information on sudden braking frequent occurrence areas.

  Then, the CPU 410 reads the output control program 430a from the HDD 430 and executes it.

  Then, the CPU 410 reads the sudden braking frequent occurrence area and stores it in the RAM 440. Further, the CPU 410 executes the output control program 430a using the sudden braking frequent occurrence area stored in the RAM 440. Note that the data stored in the RAM 440 need not always be stored in the RAM 440. Data used for processing may be stored in the RAM 440.

  Note that the information providing program 330a and the output control program 430a are not necessarily stored in the HDDs 330 and 430 from the beginning.

  For example, the information providing program 330a and the output control program 430a are stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, and an IC card inserted into a computer. . Then, the computer may read and execute the information providing program 330a and the output control program 430a from these.

  Further, the information providing program 330a and the output control program 430a are stored in “another computer (or server)” connected to the computer 300 via a public line, the Internet, a LAN, a WAN, or the like. Then, the computer may read and execute the information providing program 330a and the output control program 430a from these.

4 server 8 storage unit 8a operation data 8b sudden brake occurrence area 8c sudden brake frequency table 8d traffic amount table 8e sudden brake occurrence rate table 9 control unit 9a registration unit 9b calculation unit 9c generation unit 9d transmission control unit

Claims (13)

Computer
Based on the number of vehicles that have passed a certain point on the road and the number of vehicles that have performed a sudden braking operation or a sudden acceleration operation at the certain point, the occurrence rate of the dangerous event at the certain point is calculated,
An information providing method comprising: executing a process of outputting information based on the occurrence rate of the dangerous event. The process of outputting information based on the occurrence rate of the dangerous event relates to a point where the occurrence rate of the dangerous event exceeds a predetermined reference in an in-vehicle device mounted on the vehicle based on the calculated occurrence rate of the dangerous event. The information providing method according to claim 1, further comprising: controlling whether to output an alarm to the in-vehicle device by outputting information. The process of calculating the occurrence rate of the dangerous event is based on the number of vehicles that have passed a certain point on the road in a predetermined time zone and the number of vehicles that have performed a sudden braking operation or a sudden acceleration operation at the certain point, The information providing method according to claim 1, wherein an occurrence rate of a dangerous event at the certain point in the predetermined time zone is calculated. The process of calculating the occurrence rate of the dangerous event is based on the number of vehicles that have passed a certain point on the road in a predetermined speed zone and the number of vehicles that have performed a sudden braking operation or a sudden acceleration operation at the certain point, The information providing method according to claim 1, wherein an occurrence rate of a dangerous event at the certain point with respect to the predetermined speed zone is calculated. The information providing method according to claim 1, wherein the process of outputting information based on the occurrence rate of the dangerous event outputs map data of a point where the occurrence rate of the dangerous event exceeds a predetermined reference. A computer installed in a vehicle traveling on the road
For the first point where the incidence of dangerous events exceeds a predetermined standard, control is performed to output information relating to the first point,
An output control method, comprising: performing a process of performing control not to output information related to the first point for a second point where the occurrence rate of the dangerous event does not exceed a predetermined reference. The process for performing control to output information relating to the first point performs control to output an alarm when the vehicle is scheduled to pass through the first point. The output control method described. The process of performing the control to output the information related to the first point includes the control to output the screen indicated by the map data of the first point when the vehicle is scheduled to pass through the first point. The output control method according to claim 6, wherein the output control method is performed. In the process of performing control to output information relating to the first point, the vehicle is scheduled to pass through the plurality of first points, and the distance between the plurality of first points is within a predetermined value. When the vehicle is present in an area around the plurality of first points, control for outputting information relating to the first point is performed. The output control method according to any one of the above. A calculation unit that calculates the occurrence rate of a dangerous event at a certain point based on the number of vehicles that have passed a certain point on the road and the number of vehicles that have performed a sudden braking operation or a sudden acceleration operation at the certain point;
And an output unit that outputs information based on the occurrence rate of the dangerous event. On the computer,
Based on the number of vehicles that have passed a certain point on the road and the number of vehicles that have performed a sudden braking operation or a sudden acceleration operation at the certain point, the occurrence rate of the dangerous event at the certain point is calculated,
An information providing program for executing a process of outputting information based on the occurrence rate of the dangerous event. In an in-vehicle device mounted on a vehicle traveling on a road,
For the first point where the occurrence rate of the dangerous event exceeds a predetermined standard, control is performed to output information relating to the first point, and the second point where the rate of occurrence of the dangerous event does not exceed the predetermined standard An in-vehicle device, comprising: a control unit that performs control not to output information related to the first point. In a computer mounted on a vehicle traveling on the road,
For the first point where the incidence of dangerous events exceeds a predetermined standard, control is performed to output information relating to the first point,
An output control program for executing a process of performing control not to output information related to the first point for a second point where the occurrence rate of the dangerous event does not exceed a predetermined reference.

Images