JPWO2014061136A1 - Probe traffic information generation system and probe traffic information generation method - Google Patents

Abstract

A system for generating probe traffic information, comprising: a terminal device that collects position information; and a server that generates probe traffic information based on information collected from the terminal device, wherein the terminal device collects position information Receiving the application program to collect the location information by the provided application program, the probe traffic information generation system identifying the moving means of the terminal device, and the server identifying the moving means Probe traffic information is generated from the collected position information using the result.

Description

  The present invention relates to a system for generating traffic information.

  In recent years, mobile terminals such as smartphones and tablet terminals have become widespread, and using a sensor mounted on the mobile terminal, an attempt has been made to estimate a moving means of a person holding the mobile terminal. Attempts have also been made to provide services using the estimation result of the moving means.

  For example, Japanese Patent Application Laid-Open No. 2007-303989 discloses a portable terminal that provides support according to a moving means by switching an application program corresponding to the moving means. More specifically, Japanese Patent Application Laid-Open No. 2007-303898 discloses an azimuth sensor, a temperature sensor, an atmospheric pressure sensor, a tilt sensor, a gyro sensor, a GPS (Global Positioning System) receiver, and a map database. Disclosed is a method for determining a moving means such as a motorcycle or a train.

  One of the services using the mobile means identification technology using a portable terminal is the generation of probe traffic information. Conventionally, traffic information has been generated using a roadside sensor installed on a road and a vehicle-mounted device that receives a signal from the roadside sensor, or a GPS receiver included in a car navigation system or the like. However, the cost for installing a roadside sensor and the cost for mounting a car navigation system are large, which hinders the spread of this method. This is especially true in emerging countries. In addition, in order to generate accurate traffic information in a wide range, it is necessary to collect more data and improve the data collection range (coverage rate).

  On the other hand, in recent years, mobile terminals such as smartphones have become widespread in emerging countries. By using a GPS receiver mounted on a portable terminal, a system for generating and providing probe traffic information at a low cost can be realized. The probe traffic information is not information from sensors installed on the road side, but traffic information generated based on sensor information installed on the vehicle side such as a car navigation system or a portable terminal.

  Here, the holder of the portable terminal moves by various moving means such as walking, riding a car, riding a motorcycle, riding a train, etc. in daily life. In order to extract only the part necessary for generating probe traffic information, such as a section in a car, from the data in which these various moving means are mixed, the moving means of the portable terminal holder is determined. There is a need. Furthermore, more detailed probe traffic information can be generated by identifying moving means such as cars and motorcycles in the boarding section.

  For this reason, a technique for identifying the moving means by the moving speed, a technique for identifying the moving means by the magnitude of vibration, and a technique for identifying the moving means using both the moving speed and the magnitude of vibration are known. . For example, Japanese Patent Application Laid-Open No. 2007-303989 discloses a method for determining a moving means using both speed and magnitude of vibration independently. However, cars, motorcycles, buses, etc. have similar speed change trends. For this reason, when the speed and vibration are treated as independent and these moving means are to be identified, the moving means is identified only by the difference in the magnitude of vibration.

  On the other hand, the magnitude of vibration is affected by the speed of the moving body. Specifically, the vibration tends to increase as the speed increases. For this reason, even if a moving means with little vibration is used, there is a problem that the vibration becomes large during high-speed traveling and the moving means is mistakenly identified.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a system for accurately identifying a moving means by utilizing a feature in which the relationship between speed and vibration varies depending on the moving means.

  A typical example of the invention disclosed in the present application is as follows. That is, a probe traffic information generation system that generates probe traffic information, comprising: a terminal device that collects position information; and a server that generates probe traffic information based on information collected from the terminal device, the terminal The apparatus receives provision of an application program for collecting position information, collects position information by the provided application program, the probe traffic information generation system identifies moving means of the terminal device, and the server Generates probe traffic information from the collected location information using the identification result of the moving means.

  According to the typical aspect of the present invention, traffic flow can be displayed in a different manner for each moving means, and the visibility of traffic information can be improved. Problems, configurations, and effects other than those described above will become apparent from the description of the following embodiments.

It is a block diagram which shows an example of a structure of the computer system of 1st Example of this invention. It is a figure explaining the hardware constitutions of the computer provided in the probe center of the 1st Example of this invention. It is a figure explaining the hardware constitutions of the portable terminal of 1st Example of this invention. It is a flowchart of the process in the computer system of 1st Example of this invention. It is a figure explaining the structural example of the movement means database of 1st Example of this invention. It is a figure explaining the example of the format of the data output from the moving means identification part of 1st Example of this invention. It is a figure explaining the example of the format of the data output from the traffic information generation part of 1st Example of this invention. It is a figure explaining the example of the format of the data output from the traffic information generation part of 1st Example of this invention. It is a figure explaining the example of the format of the data output from the traffic information generation part of 1st Example of this invention. It is a figure explaining the example of the format of the data output from the traffic information visualization part of 1st Example of this invention. It is a block diagram which shows the structure of the computer system of the modification 1 of the 1st Example of this invention. It is a figure explaining the structural example of the movement means database of the modification 1 of 1st Example of this invention. It is a block diagram which shows the structure of the computer system of the modification 2 of the 1st Example of this invention. It is a block diagram which shows the example of a structure of the computer system of the 2nd Example of this invention. It is a graph which shows the vibration at the time of drive | working the same road with a different kind of moving means. It is a graph which shows distribution of the relationship between the speed and vibration by a different kind of moving means. It is a block diagram which shows the example of a structure of the moving means identification system of the 3rd Example of this invention. It is a figure explaining the structural example of the movement means database of 3rd Example of this invention. It is a block diagram which shows the example of a hardware structure of the moving means identification system of 3rd Example of this invention. It is a block diagram which shows another structural example of the moving means identification system of the 3rd Example of this invention. It is a block diagram which shows the example of a hardware structure of the computer which comprises the moving means identification system shown to FIG. 18A. It is a flowchart of the process performed by the moving means identification system of 3rd Example of this invention. It is a figure explaining the calculation result of the speed and vibration of the 3rd example of the present invention. It is a block diagram which shows the example of a structure of the moving means identification system of the 4th Example of this invention. It is a block diagram which shows the example of a structure of the moving means identification system of the 5th Example of this invention. It is a block diagram which shows the example of a structure of the moving means identification system of the 6th Example of this invention. It is a figure explaining the identification result of the movement means of the 6th Example of this invention. It is a block diagram which shows the example of a structure of the moving means identification system of the modification of the 6th Example of this invention. It is a figure explaining the mask area | region of the 6th Example of this invention. It is a figure explaining the identification result of the moving means of the modification of the 6th Example of this invention. It is a block diagram which shows the example of a structure of the vibration simulation system of the 7th Example of this invention. It is a figure explaining the structural example of the moving means identification database of 7th Example of this invention.

<First embodiment>
FIG. 1 is a block diagram illustrating an example of a configuration of a computer system according to the first embodiment.

  The computer system of the first embodiment includes at least one mobile terminal 210 that collects sensor information, a computer 301 (see FIG. 3) provided in the probe center 300, and an application providing server 360 provided in the probe center 300. Have

  The mobile terminal 210 is a communication device (for example, a smartphone) that allows a user to install an application program, and includes a sensor 211 and a data transmission unit 212. The sensor 211 is a sensor that acquires data used for identifying the moving means, and is, for example, a GPS receiver that acquires position information, an acceleration sensor that detects vibration, or the like. The data transmission unit 212 includes a processor and a communication interface, and transmits data collected by the sensor 211 to a computer 301 provided in the probe center 300 via a communication line. The hardware configuration of the portable terminal 210 will be described later with reference to FIG.

  The probe center 300 is provided with a computer 301 that executes processing for generating probe traffic information and an application providing server 360 that distributes data collection applications to the mobile terminal 210.

  The computer 301 includes a data receiving unit 310, a moving unit database 320, a moving unit identification unit 330, a traffic information generation unit 340, and a traffic information visualization unit 350.

  The data receiving unit 310 receives traffic information generation data transmitted from the mobile terminal 210. The transportation means database 320 stores traffic information generation data received from the mobile terminal 210.

  The moving means identifying unit 330 uses the traffic information generation data stored in the moving means database 320 to identify the type of moving means on which the mobile terminal 210 is mounted. The moving means identifying unit 330 has a moving means identification database referred to for identifying moving means corresponding to the traffic information generation data. The moving means identification database will be described in detail in an embodiment described later, for example, but the one shown in FIG. 16 can be used. Note that the moving unit identification database may be provided outside the moving unit identification unit 330 as long as the moving unit identification unit 330 can access the moving unit identification database.

  The traffic information generating unit 340 generates traffic information based on the type of moving means identified by the moving means identifying unit 330. For example, the traffic information generation unit 340 classifies the traffic information generation data according to the type of moving means, and totals the traffic volume, speed, and the like for each moving means. The traffic information visualization unit 350 generates easy-to-understand information (for example, data to be displayed as an image) using the traffic information collected by the traffic information generation unit 340.

  The hardware configuration of the computer 301 will be described later with reference to FIG. The hardware configuration of the application providing server 360 may be the same as the hardware configuration of the computer 301 (FIG. 2), although the description is omitted.

  Next, a flow until probe traffic information is provided will be described.

  First, (1) a person who wishes to operate a specific business applies to the business approval organization 110 for business approval. (2) The business approval organization 110 approves the business to the specific business operator 200 after examining the details of the applied business. At the time of this authorization, a terminal ID set for the mobile terminal 210 is given. The terminal ID is not newly assigned by the business authorization organization 110, and an identifier unique to the mobile terminal may be used. For example, IMEI (International Mobile Equipment Identity) may be used. In this case, in step (1), the terminal-specific identifier is notified to the business authorization organization 110. The business authorization organization 110 may be an organization independent of the national and local governments.

  The authorization application and the authorization procedure may be performed by the computer of the specific business operator 200 communicating with the computer of the business authorization organization 110. Further, the application for authorization and the procedure for authorization may be performed by the specific business operator 200 submitting an application form to the business authorization organization 110, and the business authorization organization 110 issuing the authorization certificate to the specific business enterprise 200.

  Specifically, when operating a specific business (for example, bus business, taxi business, postal business, delivery business), the country or local government of the location information of the vehicle for conducting the business according to the regulations of the national and / or local government May be required. In this case, the specific business operator 200 can provide location information by installing an application program for collecting traffic information in the mobile terminal 210 mounted on the vehicle. (3) For this reason, the specific business operator 200 (the portable terminal 210) requests the probe center 300 to provide an application program. At the time of this application, the terminal ID given at the time of authorization is transmitted to the probe center 300.

  (4) Upon receiving an application program provision application, the application provision server 360 of the probe center 300 provides an application program necessary for collecting traffic information to the specific business operator 200 (the portable terminal 210). The application program provided from the application providing server 360 is installed in the mobile terminal 210.

  This application program provision application and provision procedure may be performed through communication between the mobile terminal 210 and the application provision server 360. In addition, the application program provision application and the provision procedure are as follows. The specific company 200 submits an application form to the probe center 300 operator, and the probe center 300 operator selects the application program stored in the storage medium. 200 may be provided.

  (5) The mobile terminal 210 in which the application program provided from the application providing server 360 is installed transmits the acquired position information (traffic information generation data) to the probe center 300 (computer 301). Since the portable terminal 210 transmits the terminal information with the terminal ID, the probe center 300 that has received the position information can identify the portable terminal 210 that has collected the position information.

  The computer 301 provided in the probe center 300 generates traffic information using the traffic information generation data transmitted from the mobile terminal 210. (6) Then, the computer 301 provides the generated traffic information (probe traffic information) to the national or local government (for example, the traffic station 120). Probe traffic information is not limited to the transportation station, but may be a private company or an individual.

  The flow until the traffic information is provided is not limited to that described above, but may be an application for authorization (1) after receiving provision (4) of the application program. Furthermore, as will be described later in Modification 1 (FIG. 9), the application program installed in the mobile terminal 210 may identify the moving means, and the mobile terminal 210 may send information after identifying the moving means. . Further, in the probe center, an operator ID, which is an identifier for indicating a specific operator, and a terminal ID of the mobile terminal 210 held by the specific operator are associated with each other, and in step (6), The probe center may provide probe traffic information aggregated for each carrier ID to the traffic station.

  FIG. 2 is a block diagram illustrating an example of a hardware configuration of the computer 301 provided in the probe center 300 according to the first embodiment.

  The computer 301 is a computer having a central processing unit 302, a main storage device 303, an auxiliary storage device 304, a communication interface 305, an input device 306, and an output device 307.

  The central processing unit 302 executes a program stored in the main storage device 303.

  The main storage device 303 is a high-speed and volatile storage device such as a DRAM (Dynamic Random Access Memory), for example, and stores an operating system (OS) and application programs. The central processing unit 302 executes the operating system to realize the basic functions of the computer 301, and the application program is executed to implement a function for generating traffic information.

  The auxiliary storage device 304 is a large-capacity non-volatile storage device such as a magnetic storage device or a flash memory, and stores a program executed by the central processing unit 302 and data used when the program is executed. That is, the program executed by the central processing unit 302 is read from the auxiliary storage device 304, loaded into the main storage device 303, and executed by the central processing unit 302.

  A communication interface 305 connects the computer 301 to a network and controls communication with other devices. The input device 306 is an input device used by an operator of the probe center 300, for example, a keyboard and a mouse. The output device 307 is a display device or a printer for presenting information to the operator of the probe center 300.

  Note that the program executed by the central processing unit 302 is provided to the computer 301 via a nonvolatile storage medium or network. Therefore, the computer 301 may include an interface for reading a storage medium (CD-ROM, flash memory, etc.).

  FIG. 3 is a block diagram illustrating an example of a hardware configuration of the mobile terminal 210 according to the first embodiment.

  The portable terminal 210 is a portable communication device (for example, a smartphone) having a central processing unit 221, a storage device 222, a GPS receiver 223, a data collection sensor 224 for moving means identification, a communication interface 225, an input device 226, and an output device 227. ).

  The central processing unit 221 is a processor that executes a program stored in the storage device 222. The storage device 222 includes a high-speed and volatile storage device such as a DRAM (Dynamic Random Access Memory) and a large-capacity and nonvolatile storage device such as a flash memory. The volatile storage device stores an operating system (OS) and application programs. The central processing unit 221 executes the application program, thereby realizing the function of the data transmission unit 212. The non-volatile storage device stores a program executed by the central processing unit 221 and data used when the program is executed. That is, the program executed by the central processing unit 221 is read from the nonvolatile storage device, loaded into the volatile storage device (DRAM), and executed by the central processing unit 221.

  The sensor 211 included in the portable terminal 210 includes a GPS receiver 223 and a data collection sensor 224 for moving means identification. The GPS receiver 223 receives a signal from a GPS satellite and outputs current position information (latitude, longitude, height). Further, the moving speed can be acquired from the time change of the position information output from the GPS receiver 223. The moving means identifying data collection sensor 224 is a sensor that collects data used to identify moving means. For example, an acceleration sensor, a gyro sensor (angular velocity sensor), a geomagnetic sensor, an atmospheric pressure sensor, a microphone, or the like is used. it can.

  In the present embodiment, the moving means may be identified using only the position information output from the GPS receiver 223 (for example, the speed calculated from the position information). The moving means may be identified using data (for example, acceleration) acquired by the moving means identifying data collection sensor 224. Furthermore, the moving means may be identified by combining data acquired by a plurality of moving means identifying data collection sensors 224.

  The communication interface 225 connects the portable terminal 210 to a wireless network and controls communication with the computer 301 provided in the probe center 300. The communication interface 225 includes a wireless transceiver that transmits and receives signals to and from a wireless line (for example, a mobile phone line or a dedicated wireless line). The input device 226 is a keyboard, a touch panel, or the like operated by a user. The output device 227 is a display device (for example, a liquid crystal display panel) that displays information to the user.

  FIG. 4 is a flowchart of processing in the computer system of the first embodiment.

  In the flowchart described below, the processing by the moving means identification unit 330, the traffic information generation unit 340, and the traffic information visualization unit 350 is executed by the central processing unit 302 of the computer 301 provided in the probe center 300. Is executed by.

  First, the portable terminal 210 (installed application program) sends the positional information output from the GPS receiver 223 and the sensor data output from the moving means identification data collection sensor 224 to the probe center 300 as traffic information generation data. Transmit (S1).

  When the data receiving unit 310 of the computer 301 provided in the probe center 300 receives the data transmitted from the portable terminal 210, the central processing unit 302 stores the received data in the moving means database 320 (S2). A configuration example of the moving means database 320 will be described later with reference to FIG.

  Thereafter, the moving means identifying unit 330 of the computer 301 reads necessary information from the moving means database 320 and identifies the moving means of the portable terminal 210 that has transmitted the read data (S3).

  Thereafter, the moving means identifying unit 330 outputs the position / time / moving means label (S4). An example of a format of data output from the moving unit identification unit 330 will be described later with reference to FIG.

  And the traffic information generation part 340 estimates the congestion condition for every road using the data output from the moving means identification part 330, and produces | generates traffic information (S5). Specifically, only moving means that travel on roads such as cars, motorcycles, and buses are extracted and collected, and the speed at each time is obtained from the position information. And the congestion situation according to a moving means is estimated using a well-known method. The traffic information generated by the traffic information generation unit 340 will be described later with reference to FIGS. 7A to 7C.

  Thereafter, the traffic information visualization unit 350 visualizes the traffic information using the data output from the traffic information generation unit 340, that is, generates display data for displaying the generated traffic information on the screen (S6). ). An example of display data generated by the traffic information visualization unit 350 will be described later with reference to FIG.

  FIG. 5 is a diagram for explaining a configuration example of the moving means database 320 of the first embodiment.

  The moving means database 320 is composed of a set of terminal ID, position, sensor data, and date and time as one record. The terminal ID is identification information for uniquely identifying the mobile terminal 210. The position is position information output from the GPS receiver 223 of the mobile terminal 210, and includes latitude and longitude data. The sensor data is sensor data (for example, acceleration values in the x, y, and z directions measured by the three-axis acceleration sensor) output from the moving unit identification data collection sensor 224. The date and time is the date and time when the position information and sensor data are measured.

  The moving means database 320 may not include all the described items, and may include items other than those described.

  FIG. 6 is a diagram illustrating an example of a format of data output from the moving unit identification unit 330 according to the first embodiment.

  Data output from the moving means identification unit 330 of the computer 301 provided in the probe center 300 is composed of a set of terminal ID, position, moving means, and date / time. The terminal ID is identification information for uniquely identifying the mobile terminal 210. The position is position information output from the GPS receiver 223 of the mobile terminal 210. The moving means is a moving means identified by the moving means identifying unit 330, such as walking, a car, or a motorcycle. The date and time is the date and time when sensor data and position information are measured.

  In the figure, the data output from the moving unit identification unit 330 is represented in a table format, but the data may not be in a table format, for example, a set of data output at an arbitrary timing. The data output from the moving means identification unit 330 may not include all the items described and may include items other than those described.

  7A to 7C are diagrams illustrating examples of the format of data output from the traffic information generation unit 340 according to the first embodiment.

  The traffic information generated by the traffic information generation unit 340 is extracted from only moving means that travel on roads such as four-wheeled vehicles, motorcycles, and buses, and is summarized for each moving means. In the figure, the data output from the traffic information generation unit 340 is represented by a plurality of tables arranged for each moving means, but another format may be used.

  Data output from the traffic information generation unit 340 of the computer 301 provided in the probe center 300 includes a set of terminal ID, position, moving speed, and date / time. The terminal ID is identification information for uniquely identifying the mobile terminal 210. The position is position information output from the GPS receiver 223 of the mobile terminal 210. The moving speed is a speed calculated from time-series position information output from the GPS receiver 223. The date and time is the date and time when sensor data and position information are measured.

  FIG. 8 is a diagram illustrating an example of data output from the traffic information visualization unit 350 according to the first embodiment.

  In the illustrated example, the degree of congestion for each moving means, that is, the number of arrows corresponding to the traffic volume, is displayed on the road of the map in a different manner for each moving means. The length of the arrow indicates the moving speed. In addition to the illustration, the moving speed may be represented by the shade of the color of the arrow. The moving speed may be represented by animation. Specifically, an icon representing the moving means (for example, a color-coded mark for each moving means) is moved on the road, and the moving speed of the icon corresponds to the average speed for each moving means estimated from the road congestion situation. May be set. In this case, the visibility can be further improved by highlighting particularly crowded intersections.

  Moreover, each record of the data output from the traffic information generation part 340 can be linked | related with a road using methods, such as a well-known map matching. In this way, it is possible to know the congestion situation by road. Furthermore, visibility can be further improved by calculating the average travel speed of each moving means for each road and visualizing the degree of congestion based on the calculated average travel speed.

  In addition, road congestion is different depending on time. For this reason, the display of the traffic volume for each moving means is displayed divided at predetermined time intervals (for example, every hour). Thereby, the change of the traffic volume for every time zone can be easily grasped.

  In addition, by accumulating past traffic information, it is possible to compare the current congestion situation with the past congestion situation. Thereby, it is possible to know a change in traffic flow due to traffic restriction.

  Further, by combining the traffic information provided in the present embodiment and a known simulation technique, for example, a change in traffic flow when traffic regulation is started can be predicted for each moving means.

  Thus, the visibility of traffic information improves by displaying in a different aspect for every moving means. For example, it is possible to intuitively grasp the traffic flow by moving means in a certain area.

  Further, a congested road may be displayed in a manner that can be distinguished from other roads, or may be displayed on a plurality of maps so that the congested situation can be understood for each time zone. Moreover, you may display so that the change of a traffic condition may be known using the accumulated past information. Furthermore, traffic information may be displayed by superimposing a traffic volume simulation result.

  The data output from the traffic information visualization unit 350 is not limited to displaying the congestion status as shown in the figure, but is data for controlling traffic information, for example, information for controlling traffic signals, installed on the road Information (characters and / or maps displayed on the traffic information display) for controlling the traffic information display may be used.

  The road congestion information generated for each moving means can be used when creating a city plan, for example, a new road construction plan, or when newly regulating traffic. For example, the number of dedicated lanes (motorcycle dedicated lane, vehicle dedicated lane, bus dedicated lane, etc.) for each moving means can be appropriately determined. In addition, traffic restrictions can be provided so that only buses can pass during rush hours. In this way, various plans tailored to local circumstances can be made.

<Variation 1 of the first embodiment>
FIG. 9 is a block diagram illustrating a configuration of a computer system according to Modification 1 of the first embodiment.

  In the first modification of the first embodiment, unlike the configuration example shown in FIG. 1 described above, the mobile terminal 210 has a moving means identification unit 213.

  The moving means identifying unit 213 identifies the type of moving means on which the mobile terminal 210 is mounted using the position information output from the GPS receiver 223 and the sensor data output from the moving means identifying data collection sensor 224. . The data transmitting unit 212 transmits traffic information generation data including the type of moving means identified by the moving means identifying unit 213 to the probe center 300.

  The traffic information generation data received by the data receiving unit 310 is stored in the moving means database 320. The traffic information generation unit 340 generates traffic information based on the type of moving means stored in the moving means database 320. Thereafter, the traffic information visualization unit 350 generates information in an easy-to-understand format (for example, image data) using the traffic information collected by the traffic information generation unit 340.

  FIG. 10 is a diagram for explaining a configuration example of data transmitted from the mobile means database 320 of the first modification of the first embodiment, that is, from the mobile terminal 210.

  The moving means database 320 of the first modification is composed of a set of terminal ID, position, moving means and date as one record. The terminal ID is identification information for uniquely identifying the mobile terminal 210. The position is position information output from the GPS receiver 223 of the mobile terminal 210. The moving means is a moving means identified by the moving means identifying unit 330, such as walking, a car, or a motorcycle. The date and time is the date and time when sensor data and position information are measured.

  The moving means database 320 may not include all the described items, and may include items other than those described.

  Moreover, the data transmitted from the portable terminal 210 may be transmitted for each record or may be transmitted collectively for a plurality of records.

  In order to identify the moving means, data at short time intervals (for example, 1 second) is required. For this reason, the time interval of the data transmitted from the mobile terminal 210 can be increased by the mobile terminal 210 identifying the moving means as in the first modification, and the amount of communication from the mobile terminal 210 to the probe center 300 can be increased. Can be reduced.

<Modification 2 of the first embodiment>
FIG. 11 is a block diagram illustrating a configuration of a computer system according to the second modification of the first embodiment.

  In the second modification of the first embodiment, unlike the configuration example shown in FIG. 1 described above, in the probe center 300, the traffic information generation unit 340 includes the traffic information collected by the existing traffic information collection system 500 and the portable terminal. Traffic information is generated using the traffic information generation data acquired from 210. The existing traffic information collection system 500 is a system that collects position information (probe data) acquired from terminals mounted on taxis and buses. Moreover, as the existing traffic information collection system 500, the traffic information for each moving means collected by the roadside sensor or the roadside camera may be used.

  Since the location information collected by the traffic information collection system 500 is known for the moving means, the range for collecting the traffic information can be widened by combining this information with the information for identifying the moving means in this embodiment. Can generate wide and accurate traffic information.

  The computer 301 provided in the probe center 300 according to the second modification of the first embodiment includes an existing traffic information generation database 370 and a data reception unit 380. The data receiving unit 380 receives traffic information data transmitted from the existing traffic information collection system 500. The existing traffic information generation database 370 stores traffic information data acquired from the existing traffic information collection system 500.

  The traffic information generation unit 340 combines the four-wheeled vehicle data output from the moving unit identification unit 330 and the taxi probe data, and combines the bus data output from the moving unit identification unit 330 and the bus probe data.

  In addition, traffic information can be obtained by not distinguishing four-wheeled vehicles, motorcycles, buses, etc. (note that pedestrians are distinguished), but by collecting items that pass on the road and handling them without distinguishing the type of means of transportation. Can be widened.

  As described above, in the second modification of the first embodiment of the present invention, the moving means generates probe traffic information by adding known information, so that more detailed probe traffic information can be generated. .

  In addition, although the example which identifies a moving means using the portable terminal 210 mounted in the vehicle was demonstrated as a 1st Example, a present Example is a moving means and movement which the person who carried the portable terminal 210 used. It can also be applied to a personal trip survey system that examines routes and the like. In this case, by accumulating a history (log) of position information of a person (mobile terminal 210), the flow of the person who has the mobile terminal 210 can be known.

  As described above, in the first embodiment of the present invention, traffic flow can be displayed in a different manner for each moving means, and visibility of traffic information can be improved. In addition, traffic signals and traffic information indicators can be controlled with the generated probe traffic information, and traffic flow can be controlled in detail. Moreover, since the transmission source of the traffic information generation data is identified using the terminal ID given at the time of authorization, information can be collected accurately. Moreover, the visibility of traffic information can be improved by displaying a traffic flow superimposed on a map in a different manner for each moving means.

  Further, when the probe center 300 identifies the type of moving means, the processing load on the portable terminal 210 can be reduced. Further, when the mobile terminal 210 identifies the type of moving means, the amount of communication from the mobile terminal 210 to the probe center 300 can be reduced.

<Second embodiment>
FIG. 12 is a block diagram illustrating an example of the configuration of the computer system according to the second embodiment.

  In the second embodiment, unlike the first embodiment described above, the communication carrier application providing server 410 provides the mobile terminal 210 with an application program necessary for collecting traffic information.

  Next, in the second embodiment, a flow until probe traffic information is provided will be described.

  First, (1) a specific business operator 200 that operates a specific business concludes a contract with a communication carrier. This contract may include a contract for receiving an application program necessary for collecting traffic information in addition to a normal communication service provision contract.

  (4) Upon confirming the establishment of the contract with the specific operator 200, the communication provider application providing server 410 provides the specific operator 200 (the portable terminal 210) with an application program necessary for collecting traffic information. The application program provided from the application providing server 410 is installed in the mobile terminal 210.

  This application program provision application and provision procedure may be performed through communication between the mobile terminal 210 and the application provision server 360. Further, the application program provision application and provision procedures are performed by providing the specific carrier 200 with the application program stored in the storage medium after the specific carrier 200 and the communication carrier have signed a contract. May be.

  In addition, in order to activate the portable terminal 210, it may be necessary to install a predetermined application program for collecting traffic information. Alternatively, the portable terminal 210 in which a predetermined traffic information collection application program is installed in advance may be transferred or lent. Further, the application program may be updated when the software of the portable terminal 210 is updated.

  (5) Thereafter, the mobile terminal 210 transmits the acquired position information (traffic information generation data) to the probe center 300 (computer 301).

  (6) The computer 301 provided in the probe center 300 generates traffic information using the traffic information generation data transmitted from the portable terminal 210, and the generated traffic information (probe traffic information) is transmitted to the national or local government ( For example, it is provided to the traffic station 120).

  As explained above, in the second embodiment, the approval by the national or local government is not necessary. However, after the approval by the national or local government, the contract with the communication carrier can be concluded, or the contract with the communication carrier can be concluded. The conclusion may be a condition for approval by the national or local government.

  As described above, in the second embodiment, traffic information generation data can also be collected by business operators and individual vehicles that do not require approval by the national or local government.

<Third embodiment>
In the third embodiment, an example of a moving unit identification system that identifies the moving unit of the terminal holder using the relationship between speed and vibration will be described.

  As described above, four-wheeled vehicles, motorcycles, buses, etc. have similar speed change trends. For example, FIG. 13 shows vibrations when running on a four-wheeled vehicle on the same road and vibrations when running on a motorcycle. It can be seen that the point where both vibrations increase and the point where the vibrations decrease are similar. For this reason, when using speed to identify the moving means, it is difficult to identify them. Even if speed and vibration are used to identify moving means, if both are handled independently, moving means with similar speed change tendencies, such as four-wheeled vehicles, motorcycles, and buses, will have different vibrations. It was difficult to make an accurate judgment.

  The magnitude of vibration during travel is affected by travel speed. This is thought to be because the vibration generated during traveling is caused by road irregularities, so that the number of irregularities passing through per unit time increases as the speed increases, and the vibration increases accordingly.

  Further, the relationship between the speed and the magnitude of vibration differs depending on the moving means. For example, FIG. 14 shows the relationship between the speed and vibration of a four-wheeled vehicle and a motorcycle. It can be seen that the influence of vibration on the four-wheeled vehicle is small, and the influence of vibration on the motorcycle is large. This is presumably because the suspension for absorbing vibration and the stability of the vehicle body due to the number of wheels differ depending on the moving means.

  Thus, by utilizing the relationship between speed and vibration, which varies depending on the moving means, the moving means can be identified with high accuracy.

  FIG. 15 is a block diagram illustrating an example of the configuration of the moving means identification system according to the third embodiment.

  The moving unit identification system according to the third embodiment includes a speed sensor 1001, a vibration sensor 1002, a relation calculation unit 1003, a moving unit identification unit 1004, and a moving unit identification database 1005.

  The speed sensor 1001 can use a GPS receiver. The GPS receiver receives a signal from a GPS satellite and outputs current position information (latitude, longitude, height). Further, the moving speed can be acquired from the time change of the position information output from the GPS receiver 223.

  As the vibration sensor 1002, an acceleration sensor, a gyro sensor (angular velocity sensor), a geomagnetic sensor, an atmospheric pressure sensor, or the like can be used, and vibrations can be acquired from changes over time in measurement values of these sensors.

  The relationship calculation unit 1003 calculates the relationship between speed and vibration. The moving unit identification unit 1004 refers to the moving unit identification database 1005 to identify the moving unit. The relation calculation unit 1003 and the moving means identification unit 1004 are implemented by the central processing unit 1011 of the mobile terminal 1010 or the central processing unit 1022 (see FIGS. 17 and 18B) of the computer 1020 executing a predetermined program. .

  The moving means identification database 1005 stores the relationship between speed and vibration for each type of moving means. For example, as illustrated in FIG. 16, the moving unit identification database 1005 has a range of possible coefficient (slope) values for each moving unit when the vibration is approximated by a linear function of speed as the relationship between the speed and the vibration. Is stored. As this value, it is preferable to store the result of calculating the relationship between speed and vibration in advance for each moving means based on experiments, simulations, and the like. The moving means identification database 1005 is stored in the storage device 1012 of the portable terminal 1010 or the auxiliary storage device 1024 of the computer 1020 (see FIGS. 17 and 18B).

  In addition, although the moving means identification database 1005 illustrated in FIG. 16 does not distinguish roads, an inclination threshold value may be set for each road. Further, the threshold value may be changed by determining the state of the road surface.

  FIG. 17 is a block diagram illustrating an example of the hardware configuration of the moving means identification system according to the third embodiment. In the hardware configuration example illustrated in FIG. 17, the moving unit identification system is mounted on the mobile terminal 1010.

  The portable terminal 1010 is a portable communication device (for example, a smartphone) having a central processing unit 1011, a storage device 1012, a speed sensor 1001, a vibration sensor 1002, an input device 1016, and an output device 1017.

  The central processing unit 1011 is a processor that executes a program stored in the storage device 1012. The storage device 1012 includes a high-speed and volatile storage device such as a DRAM (Dynamic Random Access Memory) and a large-capacity and nonvolatile storage device such as a flash memory. The volatile storage device stores an operating system (OS) and application programs. When the central processing unit 1011 executes the application program, the function of the moving unit identification system is implemented. The non-volatile storage device stores a program executed by the central processing unit 1011 and data used when the program is executed. That is, the program executed by the central processing unit 1011 is read from the non-volatile storage device, loaded into the volatile storage device (DRAM), and executed by the central processing unit 1011.

  The input device 1016 is a keyboard, a touch panel, or the like operated by the user. The output device 1017 is a display device that displays information to the user. For example, a liquid crystal display panel can be used. The mobile terminal 1010 may have a communication interface that connects to a wireless network.

  Note that the program executed by the central processing unit 1011 is provided to the portable terminal 1010 via a network or a nonvolatile storage medium. For this reason, the portable terminal 1010 may include an interface (for example, a USB interface) for reading a storage medium.

  FIG. 18A is a block diagram illustrating another configuration example of the moving means identification system of the third exemplary embodiment.

  In the configuration example shown in FIGS. 18A and 18B, the sensor parts 1001 and 1002 of the moving means identification system are mounted on the portable terminal 1010, and the calculation parts 1003, 1004, and 1005 are mounted on another computer 1020. The hardware of the mobile terminal 1010 may be the same as the configuration example shown in FIG. Further, the speed sensor 1001 and the vibration sensor 1002 may be mounted on one mobile terminal or may be mounted on different mobile terminals.

  FIG. 18B is a block diagram illustrating an example of a hardware configuration of a computer 1020 configuring the moving unit identification system illustrated in FIG. 18A.

  The computer 1020 is a computer having a central processing unit 1022, a main storage device 1023, an auxiliary storage device 1024, a communication interface 1025, an input device 1026, and an output device 1027.

  The central processing unit 1022 executes a program stored in the main storage device 1023.

  The main storage device 1023 is a high-speed and volatile storage device such as a DRAM (Dynamic Random Access Memory), for example, and stores an operating system (OS) and application programs. When the central processing unit 1022 executes the operating system, the basic functions of the computer 1020 are realized, and the functions of the moving means identification system are implemented by executing the application program.

  The auxiliary storage device 1024 is a large-capacity and nonvolatile storage device such as a magnetic storage device or a flash memory, and stores a program executed by the central processing unit 1022 and data used when the program is executed. That is, the program executed by the central processing unit 1022 is read from the auxiliary storage device 1024, loaded into the main storage device 1023, and executed by the central processing unit 1022.

  The communication interface 1025 connects the computer 1020 to the network and controls communication with the mobile terminal 1010. That is, the computer 1020 collects data acquired by the speed sensor 1001 and the vibration sensor 1002 via the communication interface 1025. Note that the speed sensor 1001 and the vibration sensor 1002 acquired by connecting the mobile terminal 1010 via another data transfer interface (for example, a USB interface) without connecting the mobile terminal 1010 via the communication interface 1025. Data may be collected.

  The input device 1026 is an input device used by an operator, such as a keyboard and a mouse. The output device 1027 is a display device or a printer for presenting information to the operator of the probe center 300.

  Note that the program executed by the central processing unit 1022 is provided to the computer 1020 via a nonvolatile storage medium or network. Therefore, the computer 1020 may include an interface for reading a storage medium (CD-ROM, flash memory, etc.).

  Note that the moving unit identification database 1005 may be stored in the auxiliary storage device 1024 or in an external storage device connected to the computer 1020.

  FIG. 19 is a flowchart of processing executed by the moving means identification system of the third example.

  The moving means identification process shown in FIG. 19 is performed by the central processing unit 1011 of the portable terminal 1010 or the central processing unit 1022 of the computer 1020 executing a predetermined program.

  First, speed and vibration are calculated (S11). Specifically, the moving speed is calculated from the time change of the position information output from the GPS receiver. Specifically, it can be calculated from the difference in position information obtained from the GPS receiver using Equation (1). In equation (1), lat is latitude and lon is longitude. When the vibration sensor 1002 is an acceleration sensor, the moving speed may be acquired by integrating the acceleration in the traveling direction acquired by the acceleration sensor.

  Further, the vibration is calculated from the time change of the measurement value of the vibration sensor 1002. For example, the vibration can use the absolute value variance or standard deviation of acceleration. In addition to the above, the maximum value, average value, or median value of the amplitude in a certain time width may be used. Further, a power spectrum may be used.

FIG. 20 shows the calculation results of speed and vibration. As illustrated in the figure, the calculation results of speed and vibration are associated with the calculation results of speed (vel _i ) and vibration (vib _i ) for each time (time zone).

Next, the relationship between speed and vibration is calculated (S12). Specifically, the vibration and velocity calculated by the above-described method are plotted for a certain time on a two-dimensional plane having the vibration and velocity as two axes. For example, the velocity (vel _i ) and vibration (vib _i ) are calculated every 10 seconds and plotted for 5 minutes (ie, 30 points). For example, a least square method is applied to the plot result to obtain a linear function that best approximates the plotted point, and a coefficient (straight line) of the linear function is set as a relationship between speed and vibration.

  Thereafter, the moving means is identified with reference to the moving means identification database 1005 (S13). For example, the moving means is identified according to a possible range of the slope value of each straight line stored in the moving means identification database 1005.

  As another method, the points where the moving means are known are plotted in advance on a two-dimensional plane, the identification boundary is learned using an identification method such as a support vector machine, and the parameters of the learned identification boundary are stored in the database. To do. And when identifying unknown data, a moving means can also be identified by the value calculated using the parameter stored in the database.

  In these calculations, since the average value of the velocity and vibration in a certain time width is used, even if the sampling interval of the velocity sensor 1001 and the vibration sensor 1002 is set to be longer than 1 second, the identification accuracy of the moving means is not lowered. Thus, for example, data can be collected while reducing power consumption using a sensor mounted on the mobile terminal 1010.

  Furthermore, since it is not necessary to define the sensor holding method and the sensor orientation, the mobile terminal 1010 may be placed in a pocket, in a bag, or in a seat.

  As described above, in the third embodiment, the moving means is identified by using the feature in which the relationship between the speed and the vibration is different for each moving means, so that the moving means can be identified with high accuracy. In addition, since the moving means is identified using a linear function coefficient (straight line slope) that approximates the relationship between speed and vibration, the moving means can be identified by simple calculation.

<Fourth embodiment>
In the fourth embodiment, an example of a moving unit identification system capable of identifying the moving unit with higher accuracy by analyzing the influence of the speed on the vibration in more detail will be described.

  Depending on the type of moving means, the relationship between speed and vibration may be similar. For example, buses and motorcycles are similar in the influence of traveling speed on the magnitude of vibration, and if attention is paid only to the magnitude of vibration, the identification accuracy may be reduced.

  However, when the vibration is divided into vibration in the vertical direction (hereinafter referred to as the vertical direction) and vibration in the horizontal direction (hereinafter referred to as the horizontal direction) orthogonal to the traveling direction, three wheels such as a car and a bus are considered. With the above, it is possible to accurately distinguish between a moving means with little lateral vibration and a moving means with two wheels, such as a motorcycle and a bicycle, with large lateral vibration.

  FIG. 21 is a block diagram showing an example of the configuration of the moving means identification system of the fourth example.

  The moving unit identification system of the fourth embodiment includes a speed sensor 1001, a vibration sensor 1002, a relation calculation unit 1003, a moving unit identification unit 1004, a moving unit identification database 1005, and a vibration decomposition unit 1006.

  In the fourth embodiment, the functions and processes of the speed sensor 1001, the vibration sensor 1002, the relation calculation unit 1003, the moving unit identification unit 1004, and the moving unit identification database 1005 are the same as those in the third embodiment described above. Detailed description is omitted.

  The vibration decomposing unit 1006 decomposes the vibration detected by the vibration sensor 1002 into a vertical component and a horizontal component.

  For example, when the vibration sensor 1002 is an acceleration sensor, the gravitational acceleration can be obtained by calculating an average vector of acceleration vectors over a certain time width. This gravitational acceleration is defined as a vertical component. Then, the measured acceleration vector is projected in the vertical direction to determine the vertical component, and the vertical component is removed to determine the horizontal component.

  Furthermore, the traveling direction vector can be obtained by calculating the average vector of the horizontal component vectors in a certain time width. Then, the horizontal component of the acceleration vector is projected in the traveling direction to determine the traveling direction component, and the traveling direction component is removed from the horizontal component to determine the component orthogonal to the traveling direction.

  In addition to the above, by applying principal component analysis to a sequence of acceleration vectors collected over a certain time width, the first principal component is the vertical component, and the third principal component is the traveling direction orthogonal component. Ingredients can be defined.

  As described above, in the fourth embodiment, the vibration decomposing unit 1006 that decomposes the vibration into the vertical vibration and the horizontal vibration makes the vibration direction even though the characteristics of the vibration are similar. If they are different, the moving means can be identified with high accuracy.

<Fifth embodiment>
In the fifth embodiment, an example of a moving unit identification system that can identify a moving unit with higher accuracy by using a vibration component in a frequency band characteristic of each moving unit will be described.

  FIG. 22 is a block diagram showing an example of the configuration of the moving means identification system of the fifth embodiment.

  The moving unit identification system of the fifth embodiment includes a speed sensor 1001, a vibration sensor 1002, a relation calculation unit 1003, a moving unit identification unit 1004, a moving unit identification database 1005, and a specific frequency component extraction unit 1007.

  In the fifth embodiment, the functions and processes of the speed sensor 1001, the vibration sensor 1002, the relation calculation unit 1003, the moving unit identification unit 1004, and the moving unit identification database 1005 are the same as those in the third embodiment described above. Detailed description is omitted.

  The specific frequency component extraction unit 1007 extracts vibrations of a specific frequency component from vibrations detected by the vibration sensor 1002. The specific frequency component extraction unit 1007 can use a bandpass filter that passes a specific frequency component. Further, the specific frequency component extraction unit 1007 may extract the specific frequency component by performing Fourier transform on the vibration obtained from the measured acceleration and integrating the absolute value within the corresponding frequency band.

  Specifically, a power spectrum having a magnitude of vibration may be used. At this time, the moving means can be identified with high accuracy by calculating the power spectrum for each of a plurality of frequency bands into which the entire vibration spectrum is divided.

  For example, the entire spectrum of vibration is divided into five bands of 0 to 1 Hz, 1 Hz to 4 Hz, 4 Hz to 15 Hz, 15 Hz to 25 Hz, and 25 Hz or more. In such a case, when walking, since walking often takes about two steps per second, the frequency component near 2 Hz tends to be stronger than other frequency bands. For this reason, the power spectrum of 1 Hz to 4 Hz is stronger than other moving means.

  Further, when riding a bicycle, the frequency component of 4 Hz to 15 Hz corresponding to the rotation speed of riding the bicycle tends to be stronger than other frequency bands. Furthermore, when riding in a car or a motorcycle, the frequency components of 15 Hz to 25 Hz corresponding to the engine speed tend to be stronger than other frequency bands. Thus, since the characteristics of the power spectrum are different depending on the moving means, a power spectrum representing the magnitude of vibration in each frequency band divided into the five frequency bands described above is obtained. The moving means is identified in a 7-dimensional space including the magnitude and speed of vibration in these five frequency bands.

  As described above, in the fifth embodiment, the specific frequency component extraction unit 1007 that extracts the vibration of the specific frequency component has the characteristics of the frequency spectrum of the vibration even if the characteristics of the magnitude of the vibration are similar. If they are different, the moving means can be identified with high accuracy.

<Sixth embodiment>
In the sixth embodiment, an example of a moving unit identification system capable of identifying the moving unit with higher accuracy by correcting the identification result of the moving unit will be described.

  FIG. 23 is a block diagram showing an example of the configuration of the moving means identification system of the sixth embodiment.

  The moving unit identification system of the sixth embodiment includes a speed sensor 1001, a vibration sensor 1002, a relation calculation unit 1003, a moving unit identification unit 1004, a moving unit identification database 1005, and an identification result correction unit 1008.

  In the sixth embodiment, the functions and processes of the speed sensor 1001, the vibration sensor 1002, the relation calculation section 1003, the moving means identification section 1004, and the moving means identification database 1005 are the same as those in the third embodiment described above. Detailed description is omitted.

  The identification result correcting unit 1008 corrects the identification result of the moving unit by identifying the moving unit from the information before and after the moving unit identified by the moving unit identifying unit 1004.

  FIG. 24 is a diagram for explaining the identification result of the moving means of the sixth embodiment.

In general, the moving means does not change in a short time such as several tens of seconds. For this reason, the identification result of a moving means can be correct | amended using the identification result of the time before and behind. Specifically, the t _{i + 2} moving means is identified as a motorcycle, but the t _{i + 1} and t _{i + 3} moving means before and after it are identified as a four-wheeled vehicle. Therefore, it is corrected that the moving means of t _{i + 2} is not a motorcycle but a four-wheeled vehicle.

  Next, a moving means identification system according to a modification of the sixth embodiment will be described. In the modification of the sixth embodiment, after removing data that is likely to be erroneously identified, the moving means is identified, and the moving means of the missing part is estimated from the information before and after the moving means. Can be identified.

  On a two-dimensional plane with vibration and speed as axes, for example, as shown in FIG. 14, in any region where the speed is low, the vibration is small in any moving means, so the characteristics of the moving means are not clear and misidentification is likely to occur. . Also, misidentification is likely to occur in the boundary region of identification. For this reason, as shown in FIG. 26, the moving means can be identified with high accuracy by masking an area where misidentification is likely to occur and not using the data of the mask area.

  FIG. 25 is a block diagram showing an example of the configuration of a moving means identification system according to a modification of the sixth embodiment.

  A moving unit identification system according to a modification of the sixth embodiment includes a speed sensor 1001, a vibration sensor 1002, a relation calculation unit 1003, a moving unit identification unit 1004, a moving unit identification database 1005, an identification result correction unit 1008, and a mask unit 1009. Have.

  The mask unit 1009 masks a region where erroneous identification is likely to occur in the relationship between speed and vibration. Then, the identification result correcting unit 1008 estimates the moving unit from the information before and after the time when the moving unit identifying unit 1004 cannot identify the moving unit.

  FIG. 27 is a diagram for explaining the identification result of the moving means of the modified example of the sixth embodiment.

In the illustrated example, the moving means for t _{i + 2} is not identified, but the moving means for t _{i + 1} and t _{i + 3} before and after that are identified as four-wheeled vehicles. Therefore, the moving means of t _{i + 2} is corrected to be a four-wheeled vehicle.

  As described above, in the sixth embodiment, even if the moving means estimated at each time is incorrect by the identification result correction unit 1008 that estimates the moving means from previous and subsequent information, the identification result of the moving means is displayed. By correcting, the moving means can be identified with high accuracy. In addition, the mask unit 1009 that masks a region that is likely to be erroneously identified can prevent data in the region that is likely to be erroneously identified from being used, thereby preventing an error in the identification result of the moving means at each time.

<Seventh embodiment>
In the seventh embodiment, an example of a system that calculates the relative magnitude of vibration using the logic described above will be described.

  As described above, since the magnitude of vibration is related to speed, the measured vibration value may not represent the correct magnitude of vibration that should occur at that location. On the other hand, using the method for identifying the moving means from the speed and vibration described in the third to sixth embodiments, the vibration is estimated from the speed and moving means. Compared with the expected vibration, the vibration of the corresponding section is compared by comparing the estimated value of the vibration that the magnitude of the vibration should be at this speed and the actually measured vibration magnitude. It can be determined whether it is relatively large or small.

  FIG. 28 is a block diagram illustrating an example of the configuration of the vibration simulation system of the seventh embodiment.

  The vibration simulation system of the seventh embodiment includes a speed sensor 1101, a vibration sensor 1102, a relationship calculation unit 1103, a vibration calculation unit 1104, and a moving unit identification database 1105. The functions and processes of the speed sensor 1101, the vibration sensor 1102, and the relationship calculation unit 1103 of the seventh embodiment are the same as those of the speed sensor 1001, the vibration sensor 1002, and the relationship calculation unit 1003 of the third embodiment. Detailed description is omitted. Note that the vibration simulation system of the seventh embodiment is implemented in the portable terminal 1010 and / or the computer 1020 of the third embodiment described above (see FIGS. 17 and 18B).

  The vibration calculation unit 1104 calculates an estimated value of the magnitude of vibration using the moving speed acquired by the speed sensor 1101. The vibration calculation unit 1104 is implemented by the central processing unit 1011 of the mobile terminal 1010 or the central processing unit 1022 of the computer 1020 executing a predetermined program.

  The moving means identification database 1105 stores parameters (inclination a, intercept b) representing characteristics of the relationship between speed and vibration for each moving means. For example, as shown in FIG. 29, the moving unit identification database 1105 stores the values of the slope a and the intercept b as parameters representing the characteristics of the relationship between the speed and the vibration for each vehicle for which data has been collected. When data is collected using a plurality of vehicles, a record may be created for each vehicle. In addition, when a plurality of vehicles have the same conditions (for example, the same vehicle type), the collected data may be combined into one record.

  When the vibration simulation system of the seventh embodiment is used, for example, a road having a greater vibration than usual can be extracted by traveling on a road in a certain region with one or a plurality of vehicles. Since there is a possibility that the road is deteriorated at a place where the vibration is large, it is possible to improve the efficiency of the road maintenance inspection such as checking and repairing the place.

For this purpose, it is necessary to first construct the moving means identification database 1105. In order to construct the moving means identification database 1105, for example, a vehicle is driven on a road and data on the relationship between speed and vibration is collected. Thereafter, for example, by the method described above, the relationship between the speed and the vibration is plotted on a two-dimensional plane, and the parameters of the following equation (2) (slope a and intercept b when approximated to a linear function) are obtained.
vib = a × vel + b (2)

Thereafter, the vehicle travels on a road on which the magnitude of relative vibration is to be investigated, and the speed and vibration (vel _i , vib _{i — observed} ) are measured at predetermined intervals.

The parameter (the slope a, the intercept b) representing features of the relationship between the vibration and speed of the vehicle, read out from the moving unit identification database 1105, a vibration vib _i _ _expected to be expected with the following equation (3) Ask.
_{vib i _ expected = a × vel} i + b ... formula (3)

By comparing the vibration vib _i _ _expected to be expected was calculated by the equation (3), and a measurement value vib _i _ _{the Observed} vibrations, it is possible to obtain the magnitude of the relative vibration of the appropriate section.

  As described above, in the seventh embodiment, since the vibration is estimated from the speed and the moving means, the estimated value of the vibration can be obtained, and the magnitude of the vibration actually measured in the corresponding section is obtained. It can be determined whether it is greater than the expected vibration.

  Although the present invention has been described in detail with reference to the accompanying drawings, the present invention is not limited to such specific configurations, and various modifications and equivalents within the spirit of the appended claims Includes configuration. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Moreover, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

  Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by a processor executing a program that realizes each function. Information such as programs, tables, and files for realizing each function is stored in a memory, a hard disk, a recording device such as a solid state drive (SSD), or a non-transitory recording medium such as an IC card, SD card, or DVD. can do.

  In addition, the control lines and information lines indicate what is considered necessary for the explanation, and do not necessarily indicate all control lines and information lines necessary for mounting on a product. Actually, it may be considered that almost all the components are connected to each other.

A typical example of the invention disclosed in the present application is as follows. That is, a probe traffic information generation system that generates probe traffic information, comprising: a terminal device that collects position information; and a server that generates probe traffic information based on information collected from the terminal device, the terminal The apparatus collects position information and vibrations received by the terminal apparatus, and the probe traffic information generation system calculates the speed of the terminal apparatus from the collected position information, and the calculated speed and the collected Using an inclination that approximates the relationship with vibration by a linear function, the influence degree of the speed on the vibration is calculated, and based on the influence degree, the moving unit of the terminal device is identified, and the server Probe traffic information is generated from the collected position information using the identification result of the moving means.

Claims (14)

A probe traffic information generation system for generating probe traffic information,
A terminal device for collecting location information;
A server that generates probe traffic information based on information collected from the terminal device, and
The terminal device is provided with an application program for collecting position information, collects position information by the provided application program,
The probe traffic information generation system identifies moving means of the terminal device,
The server generates probe traffic information from the collected position information using the identification result of the moving means, and the probe traffic information generation system. The probe traffic information generation system according to claim 1,
The probe traffic information generation system, wherein the probe traffic information is data used to control traffic information. The probe traffic information generation system according to claim 1,
Identification information is given to the terminal device in connection with the provision of the application program,
The terminal device transmits the position information in association with the given identification information,
The said server identifies the positional information transmitted from the said terminal device using the identification information linked | related with the said positional information, The probe traffic information generation system characterized by the above-mentioned. The probe traffic information generation system according to claim 1,
The probe traffic information generation system calculates the speed of the terminal device from the collected position information,
The server
Using the calculated speed for each identified moving means, calculating a traffic flow congestion degree for each moving means,
A probe traffic information generation system for generating data for displaying the calculated degree of congestion superimposed on a map. The probe traffic information generation system according to claim 1,
The probe traffic information generation system, wherein the server identifies the moving means. The probe traffic information generation system according to claim 1,
The probe traffic information generating system, wherein the terminal device identifies the moving means. The probe traffic information generation system according to claim 1,
The server is connected to another traffic information collection system,
The probe traffic information generation system, wherein the server generates the probe traffic information using information collected by the other traffic information collection system and position information collected by the terminal device. The probe traffic information generation system according to claim 1,
The said terminal device receives provision of the said application program from the server which a communication carrier manages, The probe traffic information generation system characterized by the above-mentioned. The probe traffic information generation system according to claim 1,
The terminal device collects the position information and vibrations received by the terminal device by the provided application program,
The probe traffic information generation system includes:
Calculate the speed of the terminal device from the collected location information,
The probe traffic information generation system, wherein the moving means is identified using a relationship between the calculated speed and the collected vibration. The probe traffic information generation system according to claim 9,
The probe traffic information generation system is characterized in that the moving means is identified by using an inclination that approximates a relationship between the speed and the collected vibration with a linear function. The probe traffic information generation system according to claim 9,
The probe traffic information generation system characterized by analyzing the collected vibration direction and identifying the moving means using the analyzed component in the predetermined direction. The probe traffic information generation system according to claim 9,
A probe traffic information generation system characterized by analyzing the frequency of the collected vibration and identifying the moving means using a predetermined frequency component of the analyzed vibration. The probe traffic information generation system according to claim 9,
Excluding data in which the speed and the vibration have a predetermined relationship, the moving means of the terminal device is identified,
A probe traffic information generation system, wherein a moving means at a time that could not be identified by the exclusion of data is estimated from moving means identified at previous and subsequent times. A method for generating probe traffic information executed by a probe traffic information generation system, comprising:
The probe traffic information generation system includes a terminal device that collects position information, and a server that generates probe traffic information based on information collected from the terminal device,
The method
The terminal device receiving an application program for collecting location information;
The terminal device collects location information by the provided application program;
The probe traffic information generating system identifying a moving means of the terminal device;
And a step of generating probe traffic information from the collected position information by using the identification result of the moving means.

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