WO2015170385A1

WO2015170385A1 - Transportation means identification system, transportation means identification method, and computer-readable non-transient storage medium

Info

Publication number: WO2015170385A1
Application number: PCT/JP2014/062377
Authority: WO
Inventors: 洋輝大橋; 高行秋山; 山本　正明
Original assignee: 株式会社日立製作所
Priority date: 2014-05-08
Filing date: 2014-05-08
Publication date: 2015-11-12

Abstract

This transportation means identification system, which identifies a transportation means used by a moving body, is provided with: a location data acquisition unit which stores speed limit data including information about speed limit zones, which are geographical zones where the speed of travel of a moving body may be limited, further stores transportation means identification data including registered information about different speeds of travel of a moving body and the corresponding transportation means used by the moving body, and acquires location data including locations at which a moving body was detected and the time of each detection; a unit for extracting data to be used, which extracts, as location data to be used, the portion of the acquired location data that does not relate to locations within the speed limit zones indicated by the speed limit data; and a transportation means identification unit which calculates the speed of travel of the moving body on the basis of the extracted location data to be used, refers to the transportation means identification data, and determines the transportation means corresponding to the calculated speed of travel.

Description

Moving means discriminating system, moving means discriminating method, and computer-readable non-transitory storage medium

The present invention relates to a moving means discriminating system for discriminating moving means of a moving body.

In recent years, there is a demand for using a mobile terminal such as a smartphone to grasp a person's means of transportation at a low cost for use in a person trip (PT) survey for investigating a person's means of movement and purpose of movement.

Japanese Unexamined Patent Application Publication No. 2013-61828 (Patent Document 1) is a technique for grasping a person's moving means using a portable terminal.

Patent Document 1 states that “personal attribute information on a large number of users can be appropriately maintained and managed without using time and effort, and can be used as accurate information. The personal attribute information is stored and held in the probe information from the portable communication terminal through the connection terminal 101 and the communication I / F 102, and the probe information file is stored in the probe information file. The probe information accumulated in the information file is analyzed for each user, and it is estimated whether or not the attribute information stored and held in the user DB 106 has changed, for a user who is assumed to have changed the attribute information. , The attribute information confirmation update unit 109 inquires about the presence or absence of the change. "

JP 2013-61828 A

More specifically, Patent Document 1 describes a technique for discriminating a moving means based on map information such as a moving speed and a track calculated from GPS (Global Positioning System) data. For example, if the moving speed is less than 5 km / h, the moving means is walking, and if the moving speed is 5 km / h or more and less than 30 km / h, the moving means is a bicycle, 30 km / h or more, and the grasped moving route is If you do not pass on the railroad track and the grasped moving state does not stop at the bus stop, the moving means is a car, and the moving route is over 30 km / h, and the grasped moving route passes on the railroad track If the moving means is a train, the speed is 30 km / h or more, and the grasped moving state is a pattern (pattern) that stops at the bus stop, the moving hand It is described a method that determines that the bus (see [0080] and [0081]).

However, there may be a location (for example, a red signal) that limits the speed of the moving object on the moving path. When the moving body passes through such a place, the moving speed decreases even if the moving means is an automobile or the like. For this reason, since the average speed of movement from the departure point to the arrival point decreases, the moving means may be erroneously determined. For example, even if the moving body is moving by a car, it may be determined that the moving means is a bicycle or walking.

The present invention has been made in view of such circumstances, and an object thereof is to provide a moving means discriminating system capable of accurately discriminating moving means in consideration of a place where speed is limited.

In order to solve the above-mentioned problems, the present invention provides a moving means discriminating system for discriminating moving means of a moving body, wherein a speed limiting range that is a geographical range that may limit the moving speed of the moving body is provided. A position including the time when the position of the moving body and the position at which the position is acquired are stored, and speed limit data including the moving means determination data in which the moving means of the moving body corresponding to the moving speed of the moving body is registered. A position data acquisition unit for acquiring data, and use target data for extracting position data other than the position data in which the position included in the acquired position data is within the speed limit range of the speed limit data as position data to be used Based on the extraction unit and the extracted position data of the utilization object, the moving speed of the moving body is calculated, the moving means determination data is referred to, and the calculated moving speed is Moving means discriminating unit for discriminating a moving means for, characterized in that it comprises a.

According to the present invention, it is an object to provide a moving means discriminating system capable of accurately discriminating moving means in consideration of a place where the speed is limited.

Issues, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

It is a block diagram of the moving means discrimination system of Example 1. It is a hardware block diagram of the terminal which implement | achieves the moving means discrimination | determination system of Example 1. 1 is a hardware configuration diagram of a computer that implements a moving means determination system according to Embodiment 1. FIG. It is explanatory drawing of position data DB of Example 1. FIG. It is explanatory drawing of geospace DB for speed limitation information of Example 1. FIG. It is explanatory drawing of the speed limit range registered into geospace DB for speed limit information of Example 1. FIG. 3 is a flowchart of use target data extraction processing according to the first embodiment. It is explanatory drawing of the reference value DB for moving means discrimination | determination of Example 1. FIG. It is explanatory drawing of the movement means discrimination | determination process of Example 1. FIG. It is a block diagram of the movement means discrimination | determination system of Example 2. It is explanatory drawing of the map display screen which the interface for speed limitation information update of Example 2 displays. It is explanatory drawing of figure corresponding expression format DB of Example 2. FIG. It is explanatory drawing of the map display screen when the administrator of Example 2 selects the speed limit range with a circle and a polygon. It is explanatory drawing of geospace DB for speed limitation information when the administrator of Example 2 selects the speed limitation range with a circle and a polygon. It is a block diagram of the movement means discrimination | determination system of Example 3. It is explanatory drawing of the moving speed of the terminal of Example 3. FIG. It is explanatory drawing of the extraction process of the speed limit range by the speed limit information extraction part of Example 3. It is a block diagram of the moving means discrimination | determination system of Example 4. It is a block diagram of the moving means discrimination | determination system of Example 5. It is a block diagram of the moving means discrimination | determination system of Example 6. It is explanatory drawing of the condition where the car of Example 7 and a route bus are misidentified. It is a block diagram of the moving means discrimination | determination system of Example 7. It is explanatory drawing of route attribute information DB of Example 7. FIG. It is an image figure of the position where the route of each system registered in route attribute information DB of Example 7 passes. It is explanatory drawing of position data DB with which the position data to which the system | strain information of Example 7 was provided was registered. It is explanatory drawing of position data DB with which the position data to which the system | strain information of Example 7 was provided was registered. It is a block diagram of the moving means discrimination | determination system of Example 8. FIG. 10 is an explanatory diagram of an ID verification DB according to an eighth embodiment. It is explanatory drawing of IC card boarding / alighting information DB of Example 8. FIG. It is a block diagram of the traffic plan support system of Example 9. It is explanatory drawing of DB for discrimination | determination result storage of Example 9. FIG. It is explanatory drawing of an example of the discrimination | determination result display screen of Example 9. FIG. It is explanatory drawing of an example of the discrimination | determination result display screen of Example 9. FIG. It is explanatory drawing of an example of the discrimination | determination result display screen of Example 9. FIG. It is explanatory drawing of an example of the determination result display screen of Example 9. FIG. It is explanatory drawing of an example of the determination result display screen of Example 9. FIG. It is explanatory drawing of an example of the determination result display screen of Example 9. FIG. It is a block diagram of the traffic plan support system of the modification of Example 9.

Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. For clarity of explanation, the following description and drawings are omitted and simplified as appropriate. Moreover, in each drawing, the same code | symbol is attached | subjected to the same element and the duplication description is abbreviate | omitted as needed for clarification of description.

Hereinafter, Example 1 will be described with reference to FIGS.

FIG. 1 is a block diagram of a moving means determination system 100 according to the first embodiment.

The moving means discriminating system 100 includes a position data obtaining unit 101, a speed limit information geospatial DB (database) 102, a use target data extracting unit 103, a moving means discriminating reference value DB (database) 104, a moving means discriminating unit 105, And a position data DB (database) 106.

The position data acquisition unit 101 acquires position data including the position of the moving object and the time when the position is acquired, and stores the acquired position data in the position data DB 106. The position data DB 106 will be described in detail with reference to FIG. In the speed limit information geospace DB 102, information related to a speed limit range, which is a geographical range for limiting the speed of a moving object, is registered. The speed limit information geospace DB 102 will be described in detail with reference to FIGS. 5A and 5B. The use target data extraction unit 103 refers to the speed limit information geospace DB 102, excludes position data in which the position included in the position data acquired by the position data acquisition unit 101 is within the speed limit range, and Use target data used for discrimination is extracted.

The moving means corresponding to the moving speed of the moving body is registered in the moving means determination reference value DB 104. The moving means determination reference value DB 104 will be described in detail with reference to FIG. The moving means determination unit 105 calculates a moving speed based on the usage target data extracted by the usage target data extraction unit 103. Then, the movement means determination unit 105 refers to the movement means determination reference value DB 104 and determines a movement means corresponding to the calculated movement speed.

The moving means discriminating system 100 can be realized by one terminal 200 (see FIG. 2) capable of acquiring position data or a computer 300 (see FIG. 3) capable of acquiring terminal position data. A case where the moving means discrimination system 100 is realized by a terminal will be described with reference to FIG. 2, and a case where the moving means discrimination system 100 is realized by a computer will be described with reference to FIG.

FIG. 2 is a hardware configuration diagram of the terminal 200 that implements the moving means determination system 100 according to the first embodiment.

The terminal 200 is a device that is carried by a mobile object and can acquire current position data, and is, for example, a smartphone.

The terminal 200 includes an input device 201, a GPS receiver 202, a communication interface 203, a central processing unit 204, a storage device 205, and an output device 206.

The storage device 205 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 (a program corresponding to the use target data extraction unit 103 and a program corresponding to the moving means determination unit 105). The central processing unit 204 (for example, a processor or the like) implements the functions of the usage target data extraction unit 103 and the moving unit determination unit 105 by executing the application program.

The non-volatile storage device stores a program executed by the central processing unit 204 and data used when the program is executed (for example, a speed restriction information geospace DB 102, a moving means discrimination reference value DB 104, and a position data DB 106). . The program executed by the central processing unit 204 is read from the non-volatile storage device, loaded into the volatile storage device, and executed by the central processing unit 204.

The GPS receiver 202 corresponds to the position data acquisition unit 101 in FIG. 1, receives a signal from a GPS satellite, acquires current position information (latitude, longitude, height), and acquires position information and position information. The position data including the acquisition time is registered in the position data DB 106. Note that the GPS receiver 202 may calculate the moving speed of the terminal 200 using the effect of Doppler shift, and may include the calculated moving speed in the position data and register it in the position data DB 106. The effect of Doppler shift is a phenomenon that the observed frequency differs for each relative speed between the radio wave generation source and the radio wave receiver.

The communication interface 203 transmits and receives signals via a wireless line (for example, a mobile phone line or a dedicated wireless line), and includes, for example, a wireless transceiver.

The input device 201 is a keyboard or a touch panel operated by a user. The output device 206 is a display device (for example, a liquid crystal display panel) that displays information to the user.

FIG. 3 is a hardware configuration diagram of a computer 300 that realizes the moving means determination system 100 according to the first embodiment.

The computer 300 includes an input device 301, a communication interface 303, a central processing unit 304, a main storage device 305, an auxiliary storage device 306, and an output device 307.

The central processing unit 304 (for example, a processor) executes a program stored in the main storage device 305. The main storage device 305 is a high-speed and volatile storage device such as a DRAM, for example, and includes an operating system and application programs (a program corresponding to the use target data extraction unit 103, a program corresponding to the moving means determination unit 105, and the like). Remember. The central processing unit 302 implements the basic functions of the computer 300 by executing the operating system, and the functions of the utilization target data extracting unit 103 and the moving means determining unit 105 by executing the application program.

The auxiliary storage device 306 is a large-capacity non-volatile storage device such as a magnetic storage device or a flash memory, for example, and a program executed by the central processing unit 304 and data used when the program is executed (for speed limit information). The geospatial DB 102, the moving means discrimination reference value DB 104, and the position data DB 106) are stored. That is, the program executed by the central processing unit 304 is read from the auxiliary storage device 306, loaded into the main storage device 305, and executed by the central processing unit 304.

The communication interface 303 connects the computer 300 to a network and controls communication with other devices.

The input device 301 is, for example, a keyboard and a mouse. The output device 307 is a display device (for example, a liquid crystal display panel) for displaying the determination result of the moving means.

The terminal 200 may transmit the position data to the network via the communication interface 203, and the computer 300 may receive the position data via the communication interface 303 and register it in the received position data DB 106.

Further, the terminal 200 and the computer 300 may be connected to each other by, for example, a USB (Universal ケーブル Serial Bus) cable and the position data may be input from the terminal 200 to the computer 300. The position data may be written once to the external storage medium from the terminal 200, and the position data may be input to the computer 300 by the computer 300 reading the external storage medium. In such a case, the computer 300 includes an interface for connecting the terminal 200 or an interface for reading an external storage medium (CD-ROM, flash memory, etc.).

FIG. 4 is an explanatory diagram of the position data DB 106 according to the first embodiment.

The position data DB 106 includes time 401, latitude 402, longitude 403, and usage target 404.

In time 401, the time when the position information is acquired is registered. In latitude 402, the latitude at which the terminal 200 is located is registered. In longitude 403, the longitude where the terminal 200 is located is registered. The position information is longitude and latitude. In the usage target 404, information indicating whether or not the position data of the record is usage target data used for determination of the moving means is registered. If “Yes” is registered in the usage target 404, the position data of the record is usage target data. If “No” is registered in the usage target 404, the position data of the record is not usage target data. .

FIG. 5A is an explanatory diagram of the speed restriction information geospace DB 102 according to the first embodiment.

The speed limit range for limiting the speed of the moving object is registered in the geospace DB 102 for speed limit information. The latitude limit 501, longitude 502, and threshold value 503 are registered in the speed limit information geospace DB 102. In the latitude 501, the latitude of the speed limit position is registered. In longitude 502, the longitude of the speed limit position is registered. In the threshold 503, the radius of a circle centered on the speed limit position is registered.

FIG. 5B is an explanatory diagram of a speed limit range registered in the speed limit information geospace DB 102 of the first embodiment.

For example, it is assumed that the speed limit range registered in the speed limit information geospace DB 102 illustrated in FIG. 5A is represented by a circle. The speed limit range of the record in the first row of the speed limit information geospace DB 102 shown in FIG. 5A is a circle 510 shown in FIG. 5B. A circle 510 is a circle having a radius θ _a centered on coordinates of latitude Lat _a and longitude Lon _a . Further, the speed limit range of the second record in the speed limit information geospace DB 102 in FIG. 5A is a circle 511 shown in FIG. 5B. A circle 511 is a circle having a radius θ _b centered on coordinates of latitude Lat _b and longitude Lon _b .

The graphic representing the speed limit range is not limited to a circle, and may be another graphic. For example, the speed limit range may be represented by a square, and the coordinates of the two vertices on the diagonal are registered in the speed limit information geospace DB 102 in this case. Further, the speed limit range may be expressed by a complicated figure, and the coordinates of each vertex and the like are registered in the speed limit information geospace DB 102 in this case. Further, the speed limit range may be expressed by a different graphic for each place.

In FIG. 5B, the vicinity of an intersection with a traffic signal is shown as a speed limit range, but there are other speed limit ranges such as train stations, intersections with poor visibility, places under construction, places where accidents occurred, and places where traffic has occurred. It may be. Also, bus stops etc. are one of the causes that limit the speed of moving objects, but the moving speed near the bus stops can be a feature when determining whether the moving means is a car or a bus. Whether to register in the speed limit information geospace DB 102 as a speed limit range may be determined depending on the application. When it is desired to determine whether the moving means is a car or a bus, the feature becomes clearer by using the moving speed near the bus stop. Therefore, the speed limit information geo-space DB 102 with the bus stop as the speed limit range. It is desirable not to register with. If it is not desired to determine whether the moving means is a car or a bus, it is desirable that the bus stop is registered in the speed limit information geospace DB 102 as a speed limit range.

The usage target data extraction unit 103 executes usage target data extraction processing at a predetermined timing. The use target data extraction process is performed to exclude the position data including the position included in the speed limit range registered in the speed limit information geospace DB 102 from the position data registered in the position data DB 106, and to determine the moving means. This is a process for extracting the position data used for.

FIG. 6 is a flowchart of the usage target data extraction process of the first embodiment.

First, the use target data extraction unit 103 selects the position data (i) to be processed from the position data registered in the position data DB 106, and performs the processing of S602 to S605 on all the position data registered in the position data DB 106. Repeatedly execute (S601).

Next, the use target data extraction unit 103 selects the speed limit range (j) to be processed from the speed limit ranges registered in the speed limit information geospace DB 102 and is registered in the speed limit information geospace DB 102. The processing of S603 to S605 is repeatedly executed for all speed limit ranges (S602).

Next, the utilization target data extraction unit 103 selects the position of the processing target position data (Lat _i , Lon _i ) selected in the process of S601 and the center position of the speed limit range of the processing target selected in the process of S602 ( The distance (d _ij ) between Lat _j and Lon _j ) is calculated (S603). Specifically, the utilization target data extraction unit 103 acquires the latitude (Lat _i ) registered in the latitude 402 of the position data to be processed and the longitude (Lon _i ) registered in the longitude 403. In addition, the utilization target data extraction unit 103 acquires the latitude (Lat _j ) registered in the latitude 501 of the speed limit range to be processed and the longitude (Lon _j ) registered in the longitude 502. The utilization target data extraction unit 103 then calculates the distance (d _ij ) between the acquired latitude (Lat _i ) and longitude (Lon _i ) and the acquired latitude (Lat _j ) and longitude (Lon _j ) as follows: Calculate using.

In Equation 1, r indicates the radius of the earth.

Next, the use target data extraction unit 103 determines whether or not the distance (d _ij ) calculated in the process of S603 is equal to or less than the threshold (θ _j ) of the speed limit range to be processed (S604).

If it is determined in step S604 that the distance (d _ij ) is equal to or smaller than the threshold (θ _j ), the usage target data extraction unit 103 sets the processing target position data as a mask target (S605), and the processing target The position data is not used for the moving means discrimination process. Specifically, the usage target data extraction unit 103 registers “No” in the usage target 404 of the position data to be processed.

When it is determined in the process of S604 that the distance (d _ij ) is greater than the threshold value (θ _j ), the usage target data extraction unit 103 includes all the speed limit ranges registered in the speed limit information geospace DB 102 in S603. If the process of S605 is not executed, the process returns to the process of S602, a new speed limit range to be processed is selected, and the process of S603 to S605 is executed.

The use target data extraction unit 103 registers in the position data DB 106 after the process of S605 or when the processes of S603 to S605 are executed for all the speed limit ranges registered in the speed limit information geospatial DB 102. If the processing of S602 to S605 has not been executed for all the position data that have been processed, the processing returns to S601 to newly select the position data to be processed, and the processing of S602 to S605 is executed. Further, the use target data extraction unit 103 ends the use target data extraction process if the processes of S602 to S605 have been performed on all the position data registered in the position data DB 106.

FIG. 7 is an explanatory diagram of the moving means determination reference value DB 104 according to the first embodiment.

In the moving means determination reference value DB 104, representative moving speeds of the moving means are registered. The moving means determination reference value DB 104 includes moving means 701 and a reference value 702. The type of moving means is registered in the moving means 701. In the reference value 702, the moving speed for each type of moving means is registered.

Next, the moving means determination unit 105 will be described. The moving means determination unit 105 calculates the moving speed of the moving body using the usage target data extracted by the usage target data extraction unit 103.

When the position data does not include the moving speed, the moving means determination unit 105 calculates the moving distance between two consecutive points and the time required for moving based on the position data, and 2 based on the calculated moving distance and time. Calculate the moving speed between points. Specifically, the moving speed (v _ij ) between the point i and the point j is calculated by calculating the equation 2 by the moving means determination unit 105. Here, r indicates the radius of the earth. It should be noted that both the point i and the point j are usage target data.

On the other hand, when the position data includes the moving speed, the moving means determination unit 105 may use the moving speed included in the position data of one of the two points as the moving speed between the two points, or the position of the two points. The average value of the moving speeds included in the data may be used as the moving speed between two points. Further, the moving means determination unit 105 may use the moving speed included in the position data at each point as the moving speed at each point.

Next, a process will be described in which the moving means determining unit 105 determines the moving means using the calculated moving speed and the moving means determining reference value DB 104.

First, the moving means discriminating unit 105 calculates an average value during a predetermined time of the moving speed (the moving speed between two points or the moving speed of each point) calculated based on the position data. Then, the moving means determination unit 105 compares the calculated average value of moving speeds with the reference value of the moving means determination reference value DB 104 to determine the moving means corresponding to the average value.

For example, in the reference value DB 104 for determining the moving means shown in FIG. 7, if the average value is 0 km / h to 5 km / h, the moving means is determined to be walking, and if the average value is 5 km / h to 15 km / h, the moving means is determined. If the average value is 15 km / h to 30 km / h, the moving means is determined to be a route bus, and if the average value is 30 km / h to 50 km / h, the moving means is determined to be a car, If the average value is 50 km / h to 120 km / h, it is determined that the moving means is a train, and if the average value is 120 km / h or more, the moving means is determined to be a bullet train. In this way, the moving means determination unit 105 identifies a record whose average moving speed is within the range of the reference value 702 of the moving means determination reference value DB 102, and the movement registered in the moving means 701 of the identified record. It is determined that the means is a moving means of the moving body, and the determination result is output.

In addition, although the moving means discrimination | determination part 105 discriminate | determined the moving means using the average value of moving speed, it is not limited to this. For example, the moving means determination unit 105 may use the minimum value or the maximum value of the moving speed instead of the average value of the moving speed, may use a variance value or a standard deviation of the moving speed, The frequency distribution for each speed zone may be used, or a plurality of combinations thereof may be used. That is, the moving means and the feature amount related to the moving speed of the moving means are registered in the moving means discrimination reference value DB 104, and the moving means discriminating unit 105 calculates the feature quantity related to the moving speed, and uses the calculated feature amount. Any feature amount may be used as long as the corresponding moving means is specified.

Also, the reference value of the moving means determination reference value DB 104 may be registered based on actual data. For example, a certain computer acquires position data from the terminal 200 of at least one moving object that is actually moving by the moving means, and calculates an average value of the moving speed. The computer repeatedly executes this process a plurality of times to determine an average value range that can be taken for each moving hand, and registers the determined range in the moving means determination reference value DB 104. The same processing is performed when other feature quantities such as variance of moving speed or standard deviation are used. In addition, the computer learns the feature value for each moving means by using a machine learning method such as SVM (Support Vector Vector) or a neural network, using the collected moving speed average value for each moving means as learning data. The obtained feature amount may be registered in the moving means determination reference value DB 104.

As described above, the moving means determination system 100 refers to the speed limit information geospace DB 102, extracts the use target data excluding the position data in the speed limit range from the acquired position data, and extracts the extracted use target data. Based on the above, the moving means is determined. Thereby, for example, it is possible to prevent erroneous determination of the moving means due to a decrease in the speed of the moving body where the speed of the red signal or the like is limited, and the moving means can be determined with high accuracy.

The moving means discriminating process by the moving means discriminating unit 105 will be described with reference to FIG. FIG. 8 is an explanatory diagram of the moving means determination process according to the first embodiment.

The position data shown in FIG. 8 includes a moving speed, and the moving speed between two consecutive points is calculated based on the moving speed included in the position data. In the example shown in FIG. 8, it is assumed that a predetermined range from the traffic light is registered as a speed limit range in the speed limit information geospace DB 102. In FIG. 8, position data from point B to point C, from point F to point G, from point I to point J, and from point K to point L are included in the speed limit range and are mask targets. In FIG. 8, the moving body moves from point A to point L by car and route bus, and the traffic light is red while passing from point B to point C, from point I to point J, and from point K to point L. To do.

When the average speed of all sections from point A to point L is calculated, the average speed of the car is 24.3 km / h and the average speed of the route bus is 14.7 km / h, as shown in FIG. In this case, referring to the moving means determination reference value DB 104 shown in FIG. 7, 24.3 km / h calculated as the average speed of the car is included in the reference value (15 km / h-30 km / h) of the route bus. Even though the moving means is a car, it is misclassified as a route bus. In addition, 14.7 km / h calculated as the average speed of the route bus is included in the reference value (5 km / h-15 km / h) of the bicycle. End up.

On the other hand, in this embodiment, the position data in the speed limit range is not used for calculating the average speed. That is, the average speed is calculated by using the position data of other sections without using the position data between the points B to C, F to G, I to J, and K to L. Then, the average speed of the car is 24.3 km / h, and the average speed of the route bus is 16.4 km / h. In this case, referring to the moving means determination reference value DB 104 shown in FIG. 7, 31.4 km / h calculated as the average speed of the car is included in the car reference value (30 km / h-50 km / h). It is correctly determined that the moving means is a car. Further, since 16.4 km / h calculated as the average speed of the route bus is included in the reference value (15 km / h-30 km / h) of the route bus, it is correctly determined that the moving means is the route bus.

In this embodiment, a range in which the speed of the moving body may decrease is registered in the moving means determination reference value DB 104 as a speed limit range, and the moving speed is calculated from position data other than the position data included in the speed limit range. Then, the moving means is determined based on the calculated moving speed. As a result, the moving speed can be calculated only in the section in which the characteristics of the moving speed during movement of the moving means are more prominently expressed, so that the moving means can be determined with high accuracy.

Hereinafter, Example 2 will be described with reference to FIGS. 9 to 12B.

In the present embodiment, an example of the moving means discriminating system 100 that simply updates the speed limit information geospace DB 102 using a GUI (Graphical User Interface) will be described.

The speed limit range is registered in the speed limit information geospace DB 102 according to the first embodiment using, for example, survey data such as the position of a traffic light. However, the survey data does not necessarily correspond to a format that can be easily registered in the speed limit information geospace DB 102. For example, in the survey data, the position of the traffic light may be described in a format such as “the intersection of street A and street B”, without the position of the traffic signal being described in latitude and longitude. It may be represented by a mark on the map. In order to convert the survey data in such a format into a format that can be registered in the speed limit information geospatial DB 102, for example, it is troublesome to manually check the latitude and longitude of the position of the traffic light. The construction of the commercial geospace DB 102 is costly.

In addition, when registering the range where the speed is limited to the threshold value 503 of the speed limit information geospace DB 102, the administrator limits the speed in which range while visually comparing the map rather than simply inputting a numerical value. It is more intuitive and easier to register if you enter

Therefore, in the present embodiment, an example of the moving means determination system 100 that simplifies the construction and update of the speed limit information geospace DB 102 using a GUI will be described.

FIG. 9 is a block diagram of the moving means determination system 100 according to the second embodiment.

The moving means discriminating system 100 includes a position data acquiring unit 101, a speed limit information geospatial DB 102, a use target data extracting unit 103, a moving means discriminating reference value DB 104, a moving means discriminating unit 105, a position data DB 106, and speed limit information updating. Interface 901, speed limit information update unit 902, and map DB (database) 903.

The moving means discriminating system 100 of this embodiment is obtained by adding a speed limit information updating interface 901, a speed limit information updating unit 902, and a map DB 903 to the moving means discriminating system 100 shown in FIG. Since it has the same function as the configuration to which the same reference numerals shown in FIG. 1 are given, their description is omitted.

The speed limit information update interface 901 includes an input device that receives input from the administrator and a display device that displays information registered in the speed limit information geospace DB 102. The input device is, for example, a mouse and a keyboard.

The speed limit information update unit 902 updates the speed limit information geospatial DB 102 based on information input from the administrator. A map is registered in the map DB 903.

FIG. 10 is an explanatory diagram of a map display screen 1000 displayed by the speed limit information update interface 901 according to the second embodiment.

The map display screen 1000 includes an editing button 1001 and a map display unit 1009. The editing button 1001 includes seven buttons 1002 to 1008. A button 1002 is a button used when a circular area is set as the speed limit range. A button 1003 is a button used when a rectangular area is set as the speed limit range. A button 1004 is a button used when an arbitrary polygonal area is set as the speed limit range.

The button 1005 is a button used when selecting a graphic displayed on the map display unit 1009. For example, when the speed limit range is registered in the speed limit information geospace DB 102, the administrator uses the button 1005 to select the speed limit range displayed on the map display unit 1009 and select the selected speed limit range. Can edit.

The button 1006 is a button used when moving the map displayed on the map display unit 1009 in the vertical direction (north-south direction) and the horizontal direction (east-west direction). A button 1007 is a button used when enlarging the range of the map displayed on the map display unit 1009. A button 11008 is a button used when the range of the map displayed on the map display unit 1009 is reduced.

In the map display unit 1009, the speed limit range registered in the speed limit information geospace DB 102 is displayed superimposed on the map. The map displayed on the map display unit 1009 is registered in the map DB 903. Map DB903 may be memorize | stored in the memory | storage device of the computer which has the speed limitation information update part 902, and is memorize | stored in the other server connected via a network to the computer which has the speed limit information update part 902, and the said computer May download the map DB 903 from another server.

The speed limit information update unit 902 holds latitude / longitude corresponding to the upper left point of the screen of the map display unit 1009 and latitude / longitude corresponding to the lower right point, and uses these latitude / longitude as diagonals. A map of a rectangular area is extracted from the map DB 903, and the extracted map is displayed on the map display unit 1009.

The pointer 1010 in the map display unit 1009 is a pointer that moves in response to an administrator's mouse movement operation. Further, the latitude and longitude on the map corresponding to the position of the pointer 1010 are displayed at the bottom of the map display unit 1009.

FIG. 10 shows a map display screen 1000 when no speed limit range is registered in the speed limit information geospace DB 102, and no speed limit range is displayed on the map display unit 1009.

When the administrator operates the pointer 1010 and clicks the button 1007, the speed limit information update unit 902 enlarges the area displayed on the map display unit 1009 around the center point on the screen. Specifically, the latitude / longitude corresponding to the upper left point of the map display unit 1009 is (Lat _a , Lon _a ), and the latitude / longitude corresponding to the upper right point is (Lat _b , Lon _b ). Is θ (for example, θ = 2 when magnifying twice), the latitude / longitude corresponding to the upper left point of the enlarged map display unit 1009 is calculated by Equation 3 and corresponds to the upper right point. Latitude / longitude is calculated by equation (4).

When the administrator operates the pointer 1010 and clicks the button 1008, the speed limit information update unit 902 reduces the area displayed on the map display unit 1009 around the center point on the screen, so that a wider area is displayed. Show map. In this case, as in the case of enlarging the map display unit 109, the latitude and longitude corresponding to the upper left and lower right points of the reduced map display unit 1009 are calculated using

Equations

3 and 4. The rate θ is set to a value smaller than 1 (for example, θ = 1/2 when reducing to 2 times).

After the administrator operates the pointer 1010 and clicks the button 1008, the map can be moved vertically and horizontally by operating the pointer 1010. Specifically, the administrator, after clicking the button 1006, a point on the map display section 1009 (Lat _{_a,} Lon _a) again presses the mouse button, the point that there remains depressed state (Lat _b, It is assumed that the pointer 1010 is moved to Lon _b ) and the mouse button is stopped. In this case, the coordinates and the coordinates of a point on the bottom right of the screen in terms of the bottom left after movement adds _Lat a either -lat _b latitude of these coordinates before the movement, the sum of the _Lon a -Lon _b longitude Value.

Next, when the administrator operates buttons 1002 to 1004 to draw a graphic indicating the speed limit range on the map display unit 1009, the speed limit information update unit 902 registers the speed limit range in the speed limit information geospace DB 102. Processing to be performed will be described.

The moving means discriminating system 100 has a figure corresponding expression format DB 1100 in which the expression format of the speed limit range corresponding to the figure is registered. FIG. 11 is an explanatory diagram of the graphic correspondence expression format DB 1100 according to the second embodiment. The figure corresponding expression format DB 1100 includes a figure 1101, a feature A 1102, a feature B 1103, and a feature C 1104.

In the figure 1101, the type of figure for selecting the speed limit range is registered. In this embodiment, a circle, a rectangle, and a polygon are registered. In each of the features A1102 to C1104, information on which point coordinates of the figure are registered in the speed limit information geospace DB 102 is registered corresponding to each figure.

If the figure 1101 is a circle, the center coordinates of the circle and the radius of the circle are registered in the speed restriction information geospace DB102. If the figure is a rectangle, the coordinates of the upper left vertex and the lower right vertex are registered in the speed restriction information geospace DB 102. If the figure is a polygon, the coordinates of each vertex are registered in the speed limit information geospace DB102.

FIG. 12A is an explanatory diagram of the map display screen 1000 when the administrator of the second embodiment selects a speed limit range with a circle and a polygon.

In FIG. 12A, it is assumed that the speed limit range is selected as a polygon after the speed limit range is selected as a circle.

When the administrator operates the pointer 1010 and clicks the button 1002, and further operates the pointer 1010, a circular speed limit area can be selected. Specifically, after clicking the button 1002, the administrator presses the mouse button again at _a certain point (Lat _a , Lon _a ) on the map display unit 1009, and remains at the pressed state (Lat _b , Lon) _b ) Suppose that the pointer 1010 is moved to ₍ ) to stop pressing the mouse button. The speed limit information updating unit 902 displays a circle having these two diameters on the map display unit 1009.

Also, the speed limit information update unit 902 registers the center coordinates and radius of the circle in the speed limit information geospace DB 102. FIG. 12B is an explanatory diagram of the speed limit information geospace DB 102 when the administrator of the second embodiment selects a speed limit range with a circle and a polygon. In the speed limit information geospace DB 102 shown in FIG. 5A of the first embodiment, the case where the speed limit range is circular has been described. However, in the present embodiment, the speed limit range is selected by various figures, and thus this embodiment. The geospace DB 102 for speed limit information includes a graphic 1201 and a plurality of features A1202 to E1206 so that the speed limit range selected by various figures can be registered. The graphic 1201 registers the graphic type of the speed limit range. In features A1202 to E1206, the coordinates of a predetermined point of the figure in the speed limit range are registered.

The speed limit information update unit 902 will describe a case where the center coordinates and radius of a circle are registered in the speed limit information geospace DB 102.

Since the center coordinates of the circle selected in FIG. 12A are ((Lat _a + Lat _b ) / 2, (Lon _a + Lon _b ) / 2), the speed limit information update unit 902 has the speed limit information geospace DB102. The coordinates are registered in the feature A1202. Also, the radius (r _{a, b} ) of the circle can be calculated using Equation 5, and the speed limit information update unit 902 registers the calculated circle radius in the feature B 1203 of the speed limit information geospace DB 102.

When a unit such as m (meter) is used as the radius of the circle, the value calculated by Equation 5 may be converted by a predetermined formula.

When the administrator operates the pointer 1010 and clicks the button 1004 and then further operates the pointer 1010, a polygonal speed limit area can be selected. Specifically, after the administrator clicks the button 1004, the administrator displays five points ((Lat _p , Lon _p ), (Lat _q , Lon _q ), (Lat _r , Lon _r ), When the mouse button is pressed again at (Lat _s , Lon _s ), and (Lat _t , Lon _t )), the speed limit information update unit 902 connects the line points in the order in which these five points are clicked. A polygon is drawn on the map display unit 1009. Also, the speed limit information update unit 902 registers the coordinates of each vertex of the polygon in the speed limit information geospace DB 102. Specifically, the speed limit information update unit 902 registers the coordinates of the five clicked points in the features A 1202 to E 1206 of the speed limit information geospace DB 102 shown in FIG. 12B.

If the administrator operates the pointer 1010 and clicks the button 1003 and then further operates the pointer 1010, a rectangular speed limit area can be selected. Specifically, after clicking the button 1003, the administrator presses the mouse button again at _a certain point (Lat _a , Lon _a ) on the map display unit 1009, and keeps the pressed state (Lat _b , Lon _b ) Suppose that the pointer 1010 is moved to ₍ ) to stop pressing the mouse button. The speed limit information update unit 902 displays a form system having these two points as diagonal vertices on the map display unit 1009. The speed limit information update unit 902 registers the coordinates of the upper left vertex in the feature A 1202 of the speed limit information geospace DB 102 and registers the coordinates of the lower right vertex in the feature B 1204.

Next, a case where the existing speed limit range is moved will be described. First, when the administrator operates the pointer 1010 and clicks the button 1005, the existing speed limit range can be edited. Specifically, after the administrator clicks the button 1005, the administrator presses the mouse button at a point (Lat _x , Lon _x ) on the existing speed limit range displayed on the map display unit 1009, and in the pressed state a point _(Lat _y, Lon y) and stop pressing by moving up pointer 1010. In this case, speed limit information updating unit 902, the moving amount _{_{_{(Lat y -Lat x, Lon y}}} -Lon x) of the graphic pointer 1010 speed limit in the selected region is moved by. Also, the speed limit information update unit 902 uses the coordinates registered in the feature A1202 to the feature E1206 of the selected speed limit range among the speed limit ranges registered in the speed limit information geospace DB 102 based on the movement amount. Update. For example, if the selected speed limit range is a circle, the speed limit information update unit 902 adds the amount of movement of the pointer 1010 to the center coordinates. If the selected speed limit range is a rectangle or a polygon, the speed limit information update unit 902 adds the amount of movement of the pointer 1010 to the vertex.

As described above, the administrator can newly register the speed limit range in the speed limit information geospatial DB 102 while visually checking the map, and can update the speed limit range registered in the speed limit information geospatial DB 102. Therefore, the speed limit information geospace DB 102 can be easily updated.

Next, Example 3 will be described with reference to FIGS.

In the present embodiment, an example of the moving means determination system 100 in which the speed limit information geospace DB 102 is automatically updated based on the position data acquired by the terminal will be described.

The speed limit range is registered in the speed limit information geospace DB 102 according to the first embodiment using, for example, survey data such as the position of a traffic light. However, such survey data is not always available, and there is a problem that it takes time to manually register all the survey data in the speed limit information geospace DB 102. Therefore, in this embodiment, a description will be given of a moving means determination system 100 that automatically registers a speed limit range in the speed limit information geospace DB 102 based on position data. Even when the survey data relating to the position where the speed is restricted cannot be obtained by such a moving means discriminating system 100, the speed restriction information geospace DB 102 can be constructed, and the speed restriction information geospace DB 102 can be constructed. Can reduce the cost of construction.

FIG. 13 is a block diagram of the moving means determination system 100 according to the third embodiment.

The moving means discriminating system 100 includes a position data acquisition unit 1301, a speed limit information geospatial DB 102, a use target data extracting unit 103, a moving means discriminating reference value DB 104, a moving means discriminating unit 105, a position data DB 106, and speed limit information extracting. Unit 1302 and a speed limit information update unit 1303.

The moving means discriminating system 100 of the present embodiment is different from the moving means discriminating system 100 shown in FIG. 1 and the position data acquisition unit 1301, and the moving means discriminating system 100 shown in FIG. Since the restriction information update unit 1303 is added, and other configurations have the same functions as the configurations with the same reference numerals shown in FIG. 1 already described, description thereof will be omitted.

The location data acquisition unit 1301 acquires location data of a plurality of terminals. The speed limit information extraction unit 1302 calculates a moving speed based on the position data acquired from a plurality of terminals, and limits the range of positions where the number of position data where the calculated moving speed is a predetermined value or less is a predetermined number or more. Extract as a range. The speed limit information update unit 1303 registers the extracted speed limit range in the speed limit information geospace DB 102.

Detailed processing of the speed limit information extraction unit 1302 will be described with reference to FIGS. 14 and 15. FIG. 14 is an explanatory diagram of the moving speeds of the terminals A to N according to the third embodiment.

In FIG. 14, the speed limit information extraction unit 1302 extracts a time during which the moving speed is 0 or less. Specifically, the speed limit information extracting unit 1302 extracts the time period from the moving speed of the terminal A from the time T _A to time T _B, and from the time T _C to the time T _D. The speed limit information extracting section 1302, the time from the moving speed of the terminal B from the time _{T E} to the time _{T F,} the time from time _{T G} and the time _{T H,} and the time from time _{T I} and the time _{T J} Extract. Further, the speed limit information extracting unit 1302 extracts the time from the time T _K to the time _TL and the time from the time T _M to the time T _N from the moving speed of the terminal C.

In FIG. 14, the speed limit information extraction unit 1302 extracts a time when the moving speed is 0 or less, but may extract a time when the moving speed is less than an arbitrary threshold (for example, 5 km / h). Alternatively, a time that is equal to or less than a predetermined rate of the maximum speed may be extracted.

Next, the speed limit information extraction unit 1302 refers to the position data registered in the position data DB 106, extracts a position corresponding to a time when the moving speed is equal to or less than a predetermined value, and a terminal whose moving speed is equal to or less than the predetermined value. The speed limit information update unit 1303 registers the extracted range in the speed limit information geospace DB 102 as the speed limit range. For example, the speed limit information extraction unit 1302 extracts a range in which the number of terminals whose moving speed is equal to or less than a predetermined value among N terminals is equal to or greater than an arbitrary value. FIG. 15 is an explanatory diagram of a speed limit range extraction process performed by the speed limit information extraction unit 1302 according to the third embodiment.

For example, the speed limit information extraction unit 1302 divides the target map into blocks of a predetermined size, and counts the number of terminals whose speed is a predetermined value or less in each block. Then, the speed limit information extraction unit 1302 divides the counted number of terminals by the total number of terminals, and calculates the ratio of terminals whose speed is equal to or less than a predetermined value in each block. Then, the speed limit information extraction unit 1302 extracts blocks whose calculated ratio is equal to or greater than a predetermined value as a speed limit range. Then, the speed limit information update unit 1303 registers the extracted speed limit range in the speed limit information geospace DB 102.

Thus, the speed limit information geospatial DB 102 is automatically constructed based on the position data. Further, by combining the present embodiment with the second embodiment, the speed limit information geospace DB 102 that is automatically constructed can be finally confirmed manually, and it can be corrected for false detection or omission of detection. .

Further, most speed limit ranges registered in the speed limit information geospace DB 102 are automatically registered based on the position data, and the administrator or the like adds, deletes, or deletes the remaining speed limit ranges via the GUI. By correcting, the cost for database construction can be greatly reduced, and a high-quality database can be constructed.

In the present embodiment, the method of automatically constructing the speed limit information geospace DB 102 based on position data such as GPS data acquired by the terminal has been described. However, for example, as position data, a satellite image or Based on an image photographed by UAV (Unmanned 抽出 Aerial Vehicle) or the like, the moving speed of each vehicle may be calculated using an existing vehicle extraction technique and speed calculation technique to extract a speed limit range. Also in this case, it is more effective when combined with the second embodiment.

Next, Example 4 will be described with reference to FIG.

In the present embodiment, an example of a moving means determination system in which the speed limit information geospace DB 102 is updated based on traffic information such as road traffic information or train operation information will be described.

It is conceivable that the speed of the moving body is limited in places where traffic accidents and traffic jams occur. The speed limit information extraction unit 1302 of the third embodiment can extract such a part as a speed limit range, but the moving unit determination system of the present embodiment distributes information about such a part from the traffic center. It detects based on traffic information, and updates speed limitation information geospatial DB102 based on the detected traffic information. Thereby, the moving means determination system 100 can set the speed limit range accurately.

FIG. 16 is a block diagram of the moving means determination system 100 according to the fourth embodiment.

The movement means determination system 100 includes a position data acquisition unit 101, a speed limit information geospace DB 102, a use target data extraction unit 103, a movement means determination reference value DB 104, a movement means determination unit 105, a position data DB 106, and a traffic information acquisition unit. 1601, a speed limit information extraction unit 1602, and a speed limit information update unit 1603. The traffic information acquisition unit 1601 is connected to the traffic information center 1604 via a network.

The moving means discriminating system 100 of this embodiment is obtained by adding a traffic information acquisition unit 1601, a speed limit information extracting unit 1602, and a speed limit information updating unit 1603 to the moving means discriminating system 100 shown in FIG. 1 has the same function as that of the configuration denoted by the same reference numeral shown in FIG. 1 and has not been described.

The traffic information center 1604 generates traffic congestion information using existing methods based on information collected from VICS (Vehicle Information and Communication System) or a probe car. Here, the traffic jam information includes at least the location information of the place where the traffic jam occurs and the degree of the traffic jam. For example, the location information of the place where the traffic jam occurs may be expressed as “Ckm from A to B”, or may be expressed as “Ekm with D point first”, or “F An expression such as “radius Gkm around the point” may be used. The degree of traffic congestion may be a qualitative expression such as “normal”, “congested”, “congested”, or may be a quantitative expression such as “average speed Hkm”.

The traffic information acquisition unit 1601 acquires traffic jam information from the traffic information center 1604 via the network. The speed limit information extraction unit 1602 extracts position information where a traffic jam has occurred as a speed limit range based on the degree of traffic jam included in the acquired traffic jam information. The speed limit information update unit 1603 registers the extracted position information in the speed limit information geospace DB 102 as a speed limit range. Speed limit information extraction unit 1602, for example, the degree of traffic congestion is the location information is "congested", or average speed to extract the position information is less than theta _v.

In this case, if the position information of the place where the traffic jam occurs is, for example, the expression “Ekm starting from the point D”, the speed limit information extraction unit 1602 uses a quadrangle or polygon that matches the shape of the road. A range approximating an area where traffic congestion is occurring is extracted as a speed limit range. Further, even if the position information of the place where the traffic jam occurs is another expression, the speed limit information extraction unit 1602 similarly approximates the area where the traffic jam occurs with an appropriate figure. The selected range is extracted as the speed limit range. When approximating the area where traffic congestion is occurring with a graphic, the moving means determination system 100 may display the map display screen 1200 of the second embodiment and allow the administrator to set the approximate graphic.

In addition, traffic congestion information has been described as an example of traffic information. For example, information on a location where a traffic accident has occurred and a location where traffic lane restrictions are occurring may be used, and the weather (rain or snow, etc.) You may use the information of the place where speed regulation has occurred by influence. Further, the traffic information is not limited to information about roads, and may be information about trains, for example. For example, as information on the train, information on a section where speed regulation is generated due to weather may be used, or information on a low-speed traveling section for adjusting an inter-vehicle distance that often occurs due to an accident or the like may be used. Good.

As described above, in this embodiment, the moving means determination system 100 can register an accurate speed limit range in the speed limit information geospace DB 102 based on the traffic information arranged from the traffic information center 1604. The means can be accurately determined.

Next, Example 5 will be described with reference to FIG.

In the present embodiment, an example of the moving means determination system 100 in which the speed limit information geospace DB 102 is updated based on information from an unspecified number of users such as SNS (Social Networking Service) will be described.

As described in the fourth embodiment, there may be a section where the moving speed is temporarily limited due to traffic jams or traffic accidents. The moving means determination system 100 according to the fourth embodiment can dynamically register such a section as a speed limit range in the speed limit information geospace DB 102. However, although the traffic information center 1604 can collect traffic information on main roads such as main roads, it may not be able to collect traffic information on general roads with relatively little traffic. Therefore, in the present embodiment, a speed limit range is extracted based on information on media for which traffic information distribution such as an SNS check-in function is not intended, and the extracted speed limit range is registered in the speed limit information geospace DB 102. An example of the moving means discriminating system 100 will be described. As a result, the moving means determination system 100 can set a speed limit range such as a general road where the traffic information center 1604 cannot collect traffic information and has a small amount of traffic, and can accurately determine the moving means. Note that information on media for which traffic information distribution is not the original purpose includes, for example, information based on an SNS check-in function. The check-in function is a function in which, when a user posts a message to the SNS using a mobile terminal such as a smartphone, the mobile terminal acquires location information, adds the acquired location information to the posted message, and uploads it to the SNS. It is.

FIG. 17 is a block diagram of the moving means determination system 100 of the fifth embodiment.

The moving means discriminating system 100 includes a position data obtaining unit 101, a speed restriction information geospace DB 102, a use target data extracting unit 103, a moving means discriminating reference value DB 104, a moving means discriminating unit 105, a position data DB 106, and a message obtaining unit 1701. , A speed limit information extraction unit 1702, a speed limit information update unit 1703, and an extraction target keyword DB (database) 1704. The message acquisition unit 1701 is connected to the SNS server 1705 via a network.

The moving means discriminating system 100 of this embodiment includes a message acquisition unit 1701, a speed limit information extracting unit 1702, a speed limit information updating unit 1703, and an extraction target keyword DB (database) 1704 in the moving means discriminating system 100 shown in FIG. Other configurations have the same functions as the configurations denoted by the same reference numerals shown in FIG. 1 and have not been described.

The message acquisition unit 1701 acquires a message posted with location information added from the SNS server 1704 at a predetermined timing. The speed limit information extraction unit 1702 extracts the speed limit range based on the position information of the message including the keyword registered in the extraction target keyword DB 1704. In the extraction target keyword DB 1704, for example, “congestion”, “accident”, “construction”, “closed”, “speed regulation”, and the like are registered as keywords.

For example, when a user posts a message “congestion due to traffic accident” to a SNS server 1704 at a certain point A, the speed may be limited due to the traffic accident near the point A. Furthermore, when other users also post such a message to the SNS server 1705 near the point A, it is highly likely that the speed is limited near the point A.

Therefore, the speed limit information extraction unit 1702 extracts position information added to a message including such a keyword as a speed limit point candidate, and uses the method described in FIG. To extract. That is, the speed limit information extraction unit 1702 divides the target map into blocks of a predetermined size, and counts the number of messages including a predetermined keyword in each block. Then, the speed limit information extracting unit 1702 divides the counted number of messages by the total number of messages, and calculates the ratio of messages including a predetermined keyword in each block. Then, the speed limit information extraction unit 1702 extracts blocks whose calculated ratio is equal to or greater than a predetermined value as the speed limit range, and inputs the extracted speed limit range to the speed limit information update unit 1702.

When the speed limit range is input from the speed limit information extraction unit 1702, the speed limit information update unit 1703 registers the input speed limit range in the speed limit information geospace DB 102.

As described above, the moving means determination system 100 automatically collects information that may be limited in speed even on a general road where the traffic information center 1604 cannot collect traffic information and has a small traffic volume. The speed limit range can be set, and the moving means can be accurately identified.

In addition, since the moving means determination system 100 of the present embodiment may erroneously detect or miss the speed limit range, when the speed limit information extraction unit 1702 extracts the speed limit range, a pop-up window or the like is used. It may be displayed that there is an update of the speed limit range, and an administrator or the like may determine whether to update the speed limit information geospatial DB 102. In this case, the speed limit range extracted by the administrator or the like may be edited using the map display screen 1200 described in the second embodiment.

Next, Example 6 will be described with reference to FIG.

In the present embodiment, an example of the moving means discriminating system 100 that discriminates the moving means based on position data as well as sensor values measured by a sensor such as an acceleration sensor will be described.

The moving means discriminating system according to the first to fifth embodiments determines the moving means based on the position data excluding the position data of the speed limiting range registered in the speed limit information geospace DB 102, thereby moving the moving means. This improves the accuracy of discrimination. For example, there are moving means having similar movement speeds and similar places where speeds are limited, such as cars and motorcycles. In such a moving means, for example, feature quantities other than the moving speed are different such that the magnitude of vibration that can be calculated from the acceleration sensor is different. By using this feature amount for determining the moving means, it is possible to determine moving means having similar moving speeds. Also, for other moving means that are not similar in moving speed, by using feature quantities other than the moving speed for determining the moving means, it is possible to improve the accuracy of determining the moving means compared to using only the moving speed for determining the moving means. Can be improved.

FIG. 18 is a block diagram of the moving means determination system 100 according to the sixth embodiment.

The movement means determination system 100 includes a position data acquisition unit 101, a speed limit information geospace DB 102, a use target data extraction unit 103, a movement means determination reference value DB 104, a sensor data acquisition unit 1801, and a sensor movement means determination reference value. A DB 1802, a sensor data DB 1803, and an integrated movement means determination unit 1804 are provided.

The moving means discriminating system 100 of the present embodiment includes an integrated moving means discriminating section 1804 instead of the moving means discriminating section 105 shown in FIG. 1, and the moving means discriminating system 100 shown in FIG. Since the reference value DB 1802 for moving means determination and the sensor data DB 1803 are added, the other configurations have the same functions as the configurations with the same reference numerals shown in FIG. Description of is omitted.

The sensor data acquisition unit 1801 acquires sensor data including a sensor value measured by a sensor included in the terminal and a measurement time of the sensor value. Examples of sensors provided in the terminal include an acceleration sensor, a gyro sensor, a geomagnetic sensor, an atmospheric pressure sensor, a microphone, an illuminance sensor, a temperature sensor, an ultrasonic sensor, and an infrared sensor. The terminal may be provided with at least one type of sensor, and may be provided with a plurality of types of sensors.

In the sensor moving means discriminating reference value DB 1802, moving means corresponding to the feature value or distribution shape of the sensor value measured by the sensor are registered.

The integrated movement means determination unit 1804 refers to the movement means determination reference value DB 104, determines a movement means corresponding to the moving speed, refers to the sensor movement means determination reference value DB 1802, and moves corresponding to the sensor value. And determining the moving means by integrating these determination results.

Hereinafter, the processing of the integrated movement means determination unit 1804 of the present embodiment will be described by taking the acceleration measured by the triaxial acceleration sensor as an example. When using the acceleration to the discrimination of the moving means, for example, an acceleration of each axis _{_{(a x, a y, a}} z) is considered to use a dispersion value of the synthesized composite values a _n a. Synthesis value _{a n} is calculated by Equation 6. Incidentally, the combined value a _n is a value indicating the magnitude of the vibration, the composite value a _n is a characteristic quantity value is noted different vibration being moved by the moving means.

The sensor movement means discrimination reference value DB 1802, a typical range of dispersion values of the composite value a _n of the acceleration may be registered for each mobile unit. Alternatively, sensor data may be collected for each moving means using a plurality of terminals, and a range of variance values corresponding to each moving means may be registered in the sensor moving means determination reference value DB 1802 based on the sensor value. In this case, the range of the variance value corresponding to each moving means may be registered in the sensor moving means determination reference value DB 1802 using a machine learning technique. Further, although the variance value has been described as an example, for example, other statistics such as the average acceleration, the maximum acceleration, and the minimum acceleration may be used, or the frequency domain feature amount focusing on the periodicity of vibration, that is, A peak frequency band that can be extracted by performing FFT (Fast Fourier Transform) on the acceleration may be used.

First, the usage target data extraction unit 103 extracts the usage target location data from the location data DB 106 as in the first embodiment. Further, the usage target data extraction unit 103 extracts usage target sensor data from the sensor data DB 1803. Specifically, when the position of the position data at the time closest to the measurement time included in the sensor data is included in the speed limit range registered in the speed limit information geospace DB 102, the use target data extraction unit 103 Sensor data to be used is extracted by excluding sensor data.

Next, as in the first embodiment, the integrated movement means determination unit 1804 calculates the movement speed based on the position data to be used, refers to the movement means determination reference value DB 104, and moves corresponding to the calculated movement speed. Determine the means. Also, the integrated movement means determination unit 1804 calculates a feature amount based on the sensor data to be used, refers to the sensor movement means determination reference value DB 1802, and determines a movement means corresponding to the calculated feature amount. Then, the integrated moving means determining unit 1804 sets the largest moving means among the determination results as the determination result.

Note that the integrated moving means determination unit 1804 may weight the determination result of the moving means based on the position data and the determination result of the moving means based on each sensor data to determine the final moving means.

Further, the integrated moving means determination unit 1804 calculates the probability of being a moving means corresponding to the moving speed based on the difference between the calculated moving speed and the median value of the range corresponding to the moving speed. Further, the integrated moving means determination unit 1804 calculates the probability of being a moving means corresponding to the feature amount based on the difference between the feature amount based on the sensor data and the median value of the range corresponding to the feature amount. Then, the integrated movement means determination unit 1804 may use the movement means with the highest probability as the determination result. The integrated movement means determination unit 1804 may calculate the probability of the movement means based on the position data and the probability of the movement means based on each sensor data by another method.

As described above, the feature quantity other than the moving speed can be used for the determination of the moving means, and the accuracy of the determination of the moving means can be improved.

Next, Example 7 will be described with reference to FIGS. 19 to 22B.

In the present embodiment, an example of a moving unit determination system 100 that improves the determination accuracy of a moving unit by using attribute information such as system information of a transportation system such as a bus or a train to determine the moving unit will be described.

Since the moving means discriminating system 100 according to the first embodiment calculates the moving speed by excluding the position data in the speed limit range even if the moving means has a similar moving speed, the moving means can be discriminated with high accuracy. For example, there are a car and a route bus as moving means having similar moving speeds, but the moving means discrimination system 100 excludes position data in the vicinity of the traffic light and calculates the moving speed, so that the route bus stops at the bus stop. The difference in speed becomes clear, and the car and the route bus can be distinguished accurately.

However, for example, when a beginner is driving a car, the moving speed of the car is smaller than that of other cars. In such a case, there is a possibility that the car and the route bus are misidentified. On the other hand, when route information that is position information through which a transportation facility such as a bus or a train passes is registered in advance and the moving body has moved along a certain route for a predetermined time or more, the moving means is the transportation facility. There is a system to determine that. However, for example, when using only route information to distinguish between cars and route buses, especially in areas where the route bus network is dense, such as in the city center, many roads pass by some route bus. Even if it is, there is a possibility that it is erroneously determined that it is moving on a route bus. This will be described with reference to FIG.

FIG. 19 is an explanatory diagram of a situation in which a car and a route bus of Example 7 are misidentified.

In FIG. 19, all the driving routes of the car are on the route bus route. Specifically, the car is moving in the order of bus route B, bus route C, bus route A, and bus route D. Although bus route A to bus route D are routes with different systems, the above system does not consider the bus system, only the location information of the bus route is taken into account, so even though it is moving by car The moving means is erroneously determined as a route bus.

Therefore, the moving means discriminating system 100 of this embodiment discriminates the moving means based on the position information and system information of the transportation facility, and improves the accuracy of the moving means discrimination.

FIG. 20 is a block diagram of the moving means discriminating system 100 of the seventh embodiment.

The movement means determination system 100 includes a position data acquisition unit 101, a speed limit information geospace DB 102, a use target data extraction unit 103, a movement means determination reference value DB 104, a position data DB 106, a route attribute information DB 2001, and route attribute information use. A moving means determination unit 2002 is provided.

The moving means discriminating system 100 of this embodiment includes a route attribute information using moving means discriminating section 2002 instead of the moving means discriminating section 105 shown in FIG. 1, and the route attribute information DB 2001 is added to the moving means discriminating system 100 shown in FIG. Other configurations have the same functions as the configurations denoted by the same reference numerals shown in FIG. 1 and have not been described.

In the route attribute information DB 2001, position information through which a transportation route passes and system information of the transportation route through the position information are registered in association with each other. The route attribute information DB 2001 will be described in detail with reference to FIG. 21A.

The route attribute information using moving means discriminating unit 2002 refers to the moving means discriminating reference value DB 104, discriminates the moving means corresponding to the moving speed, and refers to the route attribute information DB 2001 when it is determined as the predetermined moving means. If the moving body has moved the position information along which the route of one system passes for a predetermined time, it is determined that the moving means is the transportation system of the system.

FIG. 21A is an explanatory diagram of the route attribute information DB 2001 according to the seventh embodiment.

The route attribute information DB 2001 includes a latitude 2101, a longitude 2102, and a system 2103. In the latitude 2101, the latitude of the position through which the transportation route passes is registered. In the longitude 2102, the longitude of the position through which the route of transportation passes is registered. In the system 2103, system identification information of a route passing through a position specified by the latitude registered in the latitude 2101 and the longitude registered in the longitude 2102 is registered. Since a plurality of routes may pass through the same road, identification information for a plurality of systems may be registered in the system 2103.

FIG. 21B is an image diagram of a position through which a route of each system registered in the route attribute information DB 2001 of the seventh embodiment passes.

The route of the system R _A through the lateral position in FIG. 21B, line lineage R _B passes through the vertical position in Figure 21B. Since the lines of lines and line _{R B} strains _{R A} cross at position 2111, the system 2103 of the record corresponding to the position 2111 of the route attribute information DB2001, identification information of the two strains are registered.

Next, the route attribute information utilization moving means determination unit 2002 calculates the movement speed based on the position data of the utilization target by the method described in the first embodiment. In the moving means determination reference value DB 104 of this embodiment, the transportation means registered in the route attribute information DB 2001 and the moving means having a moving speed similar to the transportation means are not discriminated based on the moving speed. For example, in the moving means discrimination reference value DB 104 shown in FIG. 7, in order to prevent the car and the route bus from being discriminated based on the moving speed, when the moving speed is 15 km to 50 km, the moving means is set to “route bus”. The moving means 701 and the reference value 702 are registered so as to be determined as “or a car”.

Next, the route attribute information utilization moving means determination unit 2002 refers to the moving means determination reference value DB 104 to determine a moving means corresponding to the moving speed. In this case, when it is determined that the moving means is “route bus or car”, the route attribute information using moving means determining unit 2002 refers to the route attribute information DB 2001 and includes the position and route attribute information included in the position data to be used. Corresponds to the position where the route of the system registered in the DB 2001 passes. Specifically, the route attribute information use moving means determination unit 2002 calculates the distance between the position included in the position data to be used and the position registered in the route attribute information DB 2001. If the calculated distance is less than or equal to the threshold value, the route attribute information utilization moving means determination unit 2002 adds the position data of the route attribute information DB 2001 corresponding to this position to the position data to be used at this position in the position data DB 106. Give information. Then, the route attribute information using moving means determination unit 2002 refers to the position data to which the system information is added, and if the same system information is given for a predetermined time or more, the moving means in this section is referred to as a “route bus”. Determine. Also, the route attribute information using moving means determination unit 2002 determines that the moving means is “car” if the same system information is not given for a predetermined time or more.

22A and 22B are explanatory diagrams of the position data DB 106 in which the position data to which the system information of the seventh embodiment is added is registered.

In Figure 22A, the system information to the location data from the time t ₁ at time t ₂ "R _A" is given, the system information "R _B" is assigned to the position data from time t ₃ to time t _4, the time t System information “R _C ” is assigned to time data from ₅ to time t ₆ , system information “R _D ” is assigned to position data from time t ₆ to time t _7, and system data is added to position data at time t _8. Information “R _E ” is given. These times are all less than the predetermined time, and the moving means in any section is determined as “car”.

In FIG. 22B, the positioned data granted system information "R _A" from time t ₁ to time t _9, the system information "R _B" is assigned to the position data from time t ₄ to time t _5. When the time t ₉ from time t ₁ is assumed to be equal to or greater than the predetermined time, the moving means of the section from time t ₁ to time t ₉ is determined as "route bus".

In the above-described example, the route attribute information using moving means determination unit 2002 does not use the moving speed to determine the car and the route bus, but the moving means is a car or a route bus based on the moving speed. And the probability that the moving means is a car or a route bus is calculated based on the position of the position data and the position through which the route of each system registered in the route attribute information DB 2001 passes. Based on these probabilities, it may be determined whether the moving means is a car or a route bus.

For example, the route attribute information using moving means determination unit 2002 determines the probability of whether the moving means is a car or a route bus based on the difference between the calculated moving speed and the median of the range corresponding to the moving speed. calculate. The route attribute information utilization moving means determination unit 2002 reduces the probability that the moving means is a vehicle, even if the moving speed is in the range of the moving speed of the car, the closer the value is to the moving speed range of the route bus. Increase the probability of a route bus. In addition, the route attribute information using moving means determination unit 2002 sets the probability that the moving means is a route bus as the value is closer to the range of the moving speed of the car, even if the moving speed is in the range of the moving speed of the route bus. Make it smaller and increase the probability of being a car. Further, the route attribute information using moving means determination unit 2002 divides the number of pieces of position data to which the same system information is given for a predetermined time by the number of all moving data included in the predetermined time, for example. The probability of whether the moving means based on is a car or a route bus is calculated. Then, the route attribute information utilization moving means determination unit 2002 determines that the moving means is a moving means having a higher probability.

The route attribute information using moving means determination unit 2002 may integrate the probability based on the moving speed and the probability based on the route attribute information to determine whether the moving means is a car or a route bus. For example, the route attribute information utilization moving means determination unit 2002 employs a moving means having a higher probability.

In the above-described example, the method of discriminating the route bus and the car based on the route attribute information DB 2001 has been described, but the present invention is not limited to this, and may be used for discrimination of other moving means.

Hereinafter, Example 8 will be described with reference to FIGS.

In the present embodiment, an example of a moving means discriminating system 100 that discriminates moving means based on boarding / alighting information by an IC (IntegratedIntegrCircuit) card of a moving body will be described.

The moving means discriminating system 100 described in the first to seventh embodiments discriminates a moving means based on position data including a position acquired by GPS, for example. However, when the moving body moves on a subway, for example, the terminal may not be able to acquire position data because it cannot send and receive GPS signals. When the moving body gets on the subway or the like using the IC card and gets off from the subway or the like, the moving means discriminating system 100 acquires the getting-on / off information, and even in the section where the position data does not exist, Based on this, the moving means can be determined. In addition, since the determination of the moving means based on the getting-on / off information is more accurate than the determination of the moving means based on the moving speed, the moving means determining system 100 can move the moving means based on the moving speed even in a section where position data exists. The determination result can be corrected based on the getting-on / off information. The IC card may be any storage medium that can store identification information and can be read by the IC card reader 2305 (see FIG. 23).

FIG. 23 is a block diagram of the moving means discriminating system 100 of the eighth embodiment.

The moving means discriminating system 100 includes a position data obtaining unit 101, a speed limit information geospace DB 102, a use target data extracting unit 103, a moving means discriminating reference value DB 104, a position data DB 106, an IC card boarding / alighting information DB (database) 2301, An ID verification DB (database) 2302 and an IC card information utilization moving means determination unit 2303 are provided.

The moving means discriminating system 100 of this embodiment includes an IC card information using moving means discriminating section 2303 instead of the moving means discriminating section 105 shown in FIG. 1, and the moving means discriminating system 100 shown in FIG. In addition, the ID collation DB 2302 is added, and other configurations have the same functions as the configurations denoted by the same reference numerals shown in FIG.

The IC card boarding / alighting information DB 2301 and ID collation DB 2302 are connected to the IC card reader 2305 via a network. The IC card reader 2305 is arranged at each station such as a subway and reads identification information (IC card ID) stored in the IC card 2304. When the mobile object is placed over the IC card reader 2305 placed at the boarding station, the IC card reader 2305 reads the identification information of the IC card 2304 and reads the identification information of the IC card 2304 and the boarding station. Is stored in association with each other. Further, when the mobile object is placed over the IC card reader 2305 placed at the exit station, the IC card reader 2305 reads the identification information of the IC card 2304, and the identification information of the read IC card 2304 It is stored in association with the disembarking station. The identification information of the IC card 2304 stored in the IC card reader 2305 and information on whether it is a boarding station or a boarding station are called boarding / unloading information.

The moving means discriminating system 100 collects the getting-on / off information from the IC card reader 2305 arranged at each station at a predetermined timing, and registers the collected getting-on / off information in the IC card getting-on / off information DB 2301. The IC card boarding / alighting information DB 2301 will be described in detail with reference to FIG.

In the ID collation DB 2302, identification information (mobile terminal ID) of a mobile terminal that is owned by the mobile body and acquires position data and identification information of the IC card 2304 that is owned by the mobile body are registered in association with each other. Details of the ID verification DB 2302 will be described with reference to FIG.

When acquiring the position data, the position data acquiring unit 101 acquires the mobile terminal ID from which the position data has been acquired in the position data, and registers the position data including the mobile terminal ID in the position data DB 106. Note that the position data acquisition unit 101 does not have to acquire the position data including the mobile terminal ID, and may acquire the mobile terminal ID and time information and register them in a database different from the position data. In this case, the position data registered in the position data DB 106 and the portable terminal ID are linked by time information.

The IC card information utilization moving means determination unit 2303 refers to the ID collation DB 2302 and acquires an IC card ID corresponding to the portable terminal ID of the position data to be used. Then, the IC card information use moving means determination unit 2303 refers to the IC card boarding / alighting information DB 2301, obtains boarding / alighting information corresponding to the obtained IC card ID, and is calculated from the obtained boarding / alighting information and use target position data. The moving means is determined based on the moving speed.

FIG. 24 is an explanatory diagram of the ID verification DB 2302 of the eighth embodiment.

The ID collation DB 2302 is constructed in advance by an administrator or the like. The ID verification DB 2302 includes a mobile terminal ID 2401 and an IC card ID 2402. In the mobile terminal ID 2401, identification information of a mobile terminal equipped with a GPS receiver is registered. In the IC card ID 2402, an IC card ID associated with the terminal ID registered in the portable terminal ID 2401 is registered.

The IC card information utilization moving means determination unit 2303 can grasp which IC card is used by which terminal user by referring to the ID verification DB 2302. The terminal ID is identification information uniquely assigned to a mobile terminal such as IMEI (International Mobile Mobile Equipment Identity). The IC card ID is identification information uniquely assigned to the IC card. These pieces of identification information are registered in the ID verification DB 2302 with the user's permission.

FIG. 25 is an explanatory diagram of the IC card boarding / exiting information DB 2301 of the eighth embodiment.

When using a train, subway, bus, or the like, the moving body causes the IC card reader 2305 arranged at the ticket gate to read the information stored in the IC card 2304. In this case, the IC card reader 2305 transmits information including the time when the IC card is read, the name of the station used, and the IC card ID to the moving means determination system 100 via the network. The moving means determination system 100 registers the information received from the IC card reader 2305 in the IC card boarding / alighting information DB 2301.

The IC card boarding / exiting information DB 2301 includes an IC card ID 2501, boarding time 2502, boarding station 2503, boarding time 2504, and boarding station 2505.

IC card ID is registered in IC card ID 2501. In the boarding time 2502, the time when the IC card ID is read when boarding is registered. In the boarding station 2503, the identification information of the station where the IC card reader 2305 that reads the IC card ID at the time of boarding is arranged is registered. In the getting-off time 2504, the time when the IC card ID is read when getting off is registered. In the getting-off station 2505, the identification information of the station where the IC card reader 2305 that has read the IC card ID at the time of getting off is arranged is registered.

The processing of the IC card information utilization moving means determination unit 2303 will be described with reference to FIG. It is assumed that the IC card information utilization moving means determination unit 2303 determines the moving means of the moving body of the IC card IDC ₁ . In this case, it can be understood that the time from the time t ₁ to the time t ′ ₁ and the time from the time t ₂ to the time t ′ ₂ were moved by the moving means using the IC card.

When the moving means using the IC card is only a train, for example, the IC card information using moving means determination unit 2303 may determine the moving means for these times as a train. When there are a plurality of moving means used by the IC card, such as a train and a subway, the moving means determination system 100 has a database in which the identification information of the train station and the identification information of the subway station are registered. The moving means discriminating unit 2303 corresponds to the train station identification information and the departure station identification information from time t ₁ to time t ′ ₁ and from time t ₂ to time t ′ _2. Or the subway station, the moving means can be determined. The IC card information utilization moving means determination unit 2303 uses the method described in the first embodiment for the time from time t ₁ to time t ′ ₁ and the time other than the time from time t ₂ to time t ′ _2. The moving means is determined.

As described above, the movement means determination system 100 determines the time between the boarding time and the departure time of the boarding / alighting information of the IC card as the transportation means using the IC card card is the movement means, so that the movement can be performed more accurately. The means can be determined.

Hereinafter, Example 9 will be described with reference to FIGS.

In the present embodiment, an example of a traffic planning support system using the determination result of the moving means determination system described in the first to eighth embodiments will be described.

When planning a traffic plan (when newly laying a road or railway, or when reviewing bus schedules, etc.), the current traffic situation (for example, traffic flow) is investigated, and the traffic plan is based on the investigated traffic situation. It is important to consider For example, the traffic situation is a utilization ratio for each means of transportation in a city, the number of people moving from a certain area to a certain area, the relationship between this number distribution and time, and the like. Conventionally, in order to grasp the traffic situation in the city, a person trip survey that asks residents to answer a questionnaire about the daily traffic behavior and a road traffic census that manually or mechanically counts the traffic volume of a certain road have been carried out. I came. However, these surveys are largely manual, and the cost of conducting surveys is enormous. Surveys can only be conducted once every 5 to 10 years. It is not enough to grasp the actual situation.

Therefore, in this embodiment, the traffic status that can be updated at a low cost and with high frequency is displayed by using the discrimination results of the moving means discrimination system described in the first to eighth embodiments, and traffic that supports traffic planning is displayed. An example of the planning support system will be described.

FIG. 26 is a block diagram of a traffic planning support system 2600 according to the ninth embodiment.

The traffic plan support system 2600 includes a moving means determination system 100, a plurality of portable terminals 2604, and a user terminal 2602.

The portable terminal 2604 is, for example, a smartphone or the like, and includes a GPS receiver 2605 that acquires position data. The moving means determination system 100 is implemented by a computer such as a server, is connected to the mobile terminal 2604 via a network, and acquires position data from the mobile terminal 2604.

The movement means determination system 100 includes a position data acquisition unit 101, a speed limit information geospace DB 102, a use target data extraction unit 103, a movement means determination reference value DB 104, a position data DB 106, and a determination result storage DB (database) 2601. Is provided.

The moving means discriminating system 100 of this embodiment is obtained by adding a discrimination result storage DB 2601 to the moving means discriminating system 100 shown in FIG. 1, and other configurations are the same as those shown in FIG. Since it has the same function as the configuration marked with, the description thereof is omitted.

In the determination result storage DB 2601, the determination result of the moving means of the moving means determining unit 105 is registered. The determination result storage DB 2601 will be described in detail with reference to FIG.

The user terminal 2602 is connected to the moving means determination system 100 and includes a display unit 2603. The display unit 2603 acquires the determination result registered in the determination result storage DB 2601 and displays a determination result display screen including the acquired determination result. The determination result display screen will be described in detail with reference to FIGS. 28 to 31C.

FIG. 27 is an explanatory diagram of the discrimination result storage DB 2601 of the ninth embodiment.

The discrimination result storage DB 2601 includes a terminal ID 2701, a time 2702, a latitude 2703, a longitude 2704, and a moving means 2705.

In the terminal ID 2701, the identification information of the terminal that acquired the position data determined by the moving means is registered. At time 2702, the time of the position data determined by the moving means is registered. In the latitude 2703, the latitude of the position data determined by the moving means is registered. In longitude 2704, the longitude of the position data for which the moving means has been determined is registered. The determined moving means is registered in the moving means 2705.

FIG. 28 is an explanatory diagram of an example of a discrimination result display screen according to the ninth embodiment.

In the discrimination result display screen shown in FIG. 28, the display unit 2603 plots and displays the moving means on the map using the map information. In this case, the display unit 2603 displays the display by changing the mark for each type of moving means so that the user can identify the type of moving means.

The user can intuitively grasp which moving body of which moving means is distributed at which position by looking at the discrimination result display screen shown in FIG.

FIG. 29 is an explanatory diagram of an example of a discrimination result display screen according to the ninth embodiment.

In the discrimination result display screen shown in FIG. 29, the display unit 2603 divides the map information into blocks in a predetermined area, and displays the moving means existing in the block and the moving means average moving speed. In FIG. 29, the display unit 2603 displays the determination result of the moving means by changing the color of the arrow for each type of moving means so that the user can identify. The length of the arrow indicates the average moving speed of the moving means.

Thereby, the user can intuitively grasp the average moving speed for each moving means. For example, when the average moving speed of a route bus is low, the user can consider measures such as changing one lane to a bus-dedicated lane, and can effectively consider a traffic plan.

FIG. 30 is an explanatory diagram of an example of a discrimination result display screen according to the ninth embodiment.

In the discrimination result display screen shown in FIG. 30, the display unit 2603 divides the map information into blocks in a predetermined area, and displays the ratio of the types of moving means existing in the blocks. As a result, the user can intuitively search for a block having a high ratio of the predetermined moving means. For example, the user can search for a block with a higher percentage of cars than the percentage of buses and determine that this block needs a measure to promote the use of public transportation.

FIG. 31A is an explanatory diagram of an example of a determination result display screen according to the ninth embodiment. In the determination result display screen shown in FIG. 31A, the display unit 2603 displays the ratio of the moving means that flows into a predetermined block (the block in the area A).

FIG. 31B is an explanatory diagram illustrating an example of a determination result display screen according to the ninth embodiment. In the determination result display screen shown in FIG. 31B, the display unit 2603 displays the ratio of the moving means that flows out from the predetermined block (the block in the area A).

FIG. 31C is an explanatory diagram of an example of a determination result display screen according to the ninth embodiment.

In the determination result display screen shown in FIG. 31C, the display unit 2603 displays the distribution of the moving distance (walking distance) of the moving body whose moving means is walking within a predetermined block (block of area A).

Specifically, the display unit 2603 refers to the discrimination result storage DB 2601 and selects all records in which the latitude registered in the latitude 2703 and the longitude registered in the longitude 2704 are within the range of the block of the area A. And the display part 2603 selects the record in which walking was registered into the moving means 2705 from the selected record. Then, the display unit 2603 follows the latitude and longitude of the record in which the same identification information is registered in the terminal ID 2701 of the selected record in time order, and calculates the walking distance in the block of the area A for each terminal identification information. And the display part 2603 calculates distribution of walking distance, and displays the determination result display screen shown to FIG. 31C.

When the determination result display screen shown in FIG. 31C is displayed, the user may consider introducing a circulation bus or the like in an area where there are many people walking, for example, 1 km or more. You may consider deploying to When taxis are intensively deployed in such areas, the convenience of citizens can be improved and the profits of taxi operators can be expanded. In addition, the user may consider providing a station for sharing a bicycle in such an area.

The determination result display screen shown in FIG. 31C displays not the distribution of walking distances in the block of the area A but, for example, the distribution of walking distances of a moving body that has moved from the point A to another point by walking. Also good.

In this case, the display unit 2603 refers to the determination result storage DB 2601 and selects the identification information registered in the terminal ID 2701 of the record in which the moving means has moved from the block in the area A to the block in another area while walking. The display unit 2603 displays the records from the time when the selected identification information is registered until the time when the moving means other than walking is registered in the moving means 2705 after the time when the moving means 2705 moves. Tracing in order, the walking distance after moving from the block in area A to another block is calculated. And the display part 2603 calculates distribution of walking distance, and displays the determination result display screen shown to FIG. 31C.

Thereby, for example, when the ratio of the moving object whose walking distance after moving from the area A to another block is equal to or greater than a predetermined value is equal to or greater than the predetermined value, the user can stop a bus stop such as a train station or a route bus in the area A. Can be considered.

Further, the determination result display screen shown in FIG. 31C may display, for example, the distribution of walking distances of a moving body that has moved from another point to point A by walking.

In this case, the display unit 2603 refers to the discrimination result storage DB 2601 and selects the identification information registered in the terminal ID 2701 of the record in which the moving unit has moved from the block in another region to the block in the region A while walking. Then, the display unit 2603 follows the record up to the time immediately before the moving means other than walking is registered in the moving means 2705 before the time of moving to the area A among the records in which the selected identification information is registered. The walking distance before moving from the block in the region to the block in the region A is calculated. And the display part 2603 calculates distribution of walking distance, and displays the determination result display screen shown to FIG. 31C.

As described above, by displaying the determination result of the moving means by the moving means determining system 100, the user makes a detailed plan that matches the actual traffic flow in various scenes of the city plan or the traffic plan. be able to. Furthermore, according to the moving means discriminating system 100, compared with the conventional person trip survey, since the labor of the investigator or the surveyed person is significantly reduced, it is possible to collect data not only on a predetermined day but continuously. Thus, the user can analyze, for example, changes in traffic flow during rainy weather. For example, the user can also consider measures such as adding temporary buses to a certain area when it rains. Furthermore, the user can analyze changes in traffic flow in an emergency such as a disaster, and can use the analysis result to reduce the disaster.

Next, a modification of the ninth embodiment will be described with reference to FIG. FIG. 32 is a block diagram of a traffic planning support system 2600 according to a modification of the ninth embodiment.

In the ninth embodiment, a computer such as a server implements the moving means discriminating system 100. However, in this modification, the portable terminal 2604 implements the moving means discriminating system 100, the portable terminal 2604 discriminates the moving means, and the moving means. The discrimination result storage server 3200 registers the received discrimination result of the moving means in the discrimination result storage DB 2601. As a result, the processing load on the server can be reduced.

The position data acquisition unit 101 of the moving means discriminating system 100 mounted on the portable terminal 2604 corresponds to the GPS receiver 2605 shown in FIG. 26, and the other configurations are the same as those of the moving means discriminating system 100 shown in FIG. Therefore, explanation is omitted.

The discrimination result storage server 3200 includes a discrimination result storage DB 2601. The discrimination result storage DB 2601 has the same configuration as that shown in FIG. The user terminal 2602 has the same configuration as that shown in FIG.

In this modification, since the mobile terminal 2604 periodically acquires position data and continues to determine the moving means, the power consumption increases, and the battery of the mobile terminal 2604 may run out. For this reason, it is desirable that the portable terminal 2604 obtains position data only when necessary. For example, when the moving speed is close to 0 and the moving body is not moving, the mobile terminal 2604 increases the period for obtaining the position data, and the moving speed is a predetermined value, and the moving body is at a high speed. When the mobile terminal 2 is moving, it is possible to acquire as much position data as necessary when necessary, while suppressing the battery consumption of the portable terminal 2604 by making the position data acquisition period smaller than usual.

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.

In addition, 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 that realize each function is stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a non-transitory recording medium such as an IC card, SD card, or DVD. can do.

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

Claims

A moving means discriminating system for discriminating moving means of a moving body,
Speed limit data including a speed limit range that is a geographical range that may limit the moving speed of the moving body;
Storing moving means discrimination data in which moving means of the moving body corresponding to the moving speed of the moving body is registered;
A position data acquisition unit that acquires position data including the position of the moving body and the time at which the position is acquired;
A use target data extraction unit that extracts position data other than the position data whose position included in the acquired position data is within a speed limit range of the speed limit data as position data to be used;
A moving means discriminating unit that calculates a moving speed of the moving body based on the extracted position data of the use target, refers to the moving means discriminating data, and discriminates a moving means corresponding to the calculated moving speed; A moving means discriminating system comprising:
It is a moving means discrimination | determination system of Claim 1, Comprising:
When the position data includes a speed, the moving means determining unit calculates a moving speed of the moving body based on the speed included in the extracted position data of the usage target. .
It is a moving means discrimination | determination system of Claim 1, Comprising:
When the position data does not include speed, the moving means determination unit calculates the moving speed of the moving body based on the position included in the extracted position data of the usage target and the time when the position is acquired. The moving means discrimination system characterized by this.
It is a moving means discrimination | determination system of Claim 1, Comprising:
A speed limit data update interface for displaying a map display screen by superimposing a speed limit range included in the speed limit data on a map, and receiving an input of an instruction to update the speed limit data based on the displayed map display screen;
And a speed limit data update unit that updates the speed limit data based on an update instruction that has received the input.
It is a moving means discrimination | determination system of Claim 1, Comprising:
Speed limit data extraction for calculating a moving speed of the moving body based on a position and time included in the acquired position data and extracting a range in which the calculated moving speed is equal to or less than a predetermined value. And
And a speed limit data updating unit for newly registering the extracted range in the speed limit range of the speed limit data.
It is a moving means discrimination | determination system of Claim 1, Comprising:
Connected to a traffic information distribution device that distributes traffic information,
A traffic information acquisition unit for acquiring traffic information distributed from the traffic information distribution device;
A speed limit data extraction unit that extracts the speed limit range of the speed limit data based on the acquired traffic information;
And a speed limit data updating unit for newly registering the extracted range in the speed limit range of the speed limit data.
It is a moving means discrimination | determination system of Claim 1, Comprising:
Message information including a message input to the terminal and the position of the terminal is transmitted, connected to a server to which the message information is posted,
Stores keyword information that contains keywords related to traffic,
A message information acquisition unit for acquiring message information from the server;
The message information including the keyword registered in the keyword information is selected from the acquired message information, and the speed limit range of the speed limit data is extracted based on the position included in the selected message information. A speed limit data extraction unit;
And a speed limit data updating unit for newly registering the extracted range in the speed limit range of the speed limit data.
It is a moving means discrimination | determination system of Claim 1, Comprising:
Storing sensor value moving means determination data in which the moving means of the moving body corresponding to the sensor value measured by the sensor provided in the terminal is registered;
A sensor data acquisition unit for acquiring sensor data including the sensor value and the time when the sensor value is measured;
The usage target data extraction unit extracts sensor data corresponding to the time of the extracted location data of the usage target from the acquired sensor data,
The moving means determination unit
With reference to the sensor value moving means determination data, the moving means corresponding to the sensor value included in the extracted sensor data is determined,
A moving unit discriminating system characterized in that the moving unit is discriminated by integrating a discrimination result based on the position data and a discrimination result based on the sensor data.
It is a moving means discrimination | determination system of Claim 1, Comprising:
Store the route attribute information registered by associating the position where the route of each route of transportation passes with the route passing through the position,
Storing the received boarding / exiting information;
The moving means determination unit
With reference to the boarding / alighting information, it is determined whether or not the position of the acquired position data continuously corresponds to a position where a route of the same system passes for a predetermined time or more,
The moving means discriminating system characterized in that when the position of the acquired position data corresponds to a position where a route of the same system passes continuously for a predetermined time or more, the moving means is determined to be the transportation facility.
It is a moving means discrimination | determination system of Claim 1, Comprising:
The mobile body moves with a storage medium used when getting on and off the transportation and a terminal for acquiring the position of the mobile body,
The terminal
Transmitting the position data including the identification information of the terminal, the acquired position, and the time of acquiring the position to the moving means determination system;
A storage medium identification information reading unit that reads the identification information of the storage medium stored in the storage medium when the transportation is getting on or off the vehicle, and reading the read identification information of the storage medium and the identification information of the storage medium Sending the boarding / exiting information including the time and information indicating whether the boarding or the getting off to the moving means discriminating system,
The moving means determination system includes:
Storing identification information collation information registered in association with identification information of the terminal and identification information of the storage medium;
The moving means determination unit
Referencing the identification information verification information, obtaining the identification information of the storage medium associated with the identification information of the terminal included in the extracted location data of the usage target,
Obtaining the getting on / off information corresponding to the obtained identification information of the storage medium from the getting on / off information,
A moving means determining system, wherein the moving means is determined to be the transportation means for a time period from the reading time at the time of getting on to the reading time at the time of getting off with reference to the acquired getting on / off information.
It is a moving means discrimination | determination system of Claim 1, Comprising:
Store the determination result of the moving means by the moving means determination unit,
A moving means discriminating system comprising: a display unit that displays a discrimination result of the moving means so that the type of the moving means can be distinguished.
A method of determining the moving means of the moving body in a moving means determining system for acquiring position data of the moving body,
The moving means determination system includes:
Speed limit data including a speed limit range that is a geographical range that may limit the moving speed of the moving body;
Storing moving means discrimination data in which moving means of the moving body corresponding to the moving speed of the moving body is registered;
The method
The moving means determination system acquires position data including the position of the moving body and the time when the position is acquired;
The moving means determination system extracts position data other than the position data in which the position included in the acquired position data is within the speed limit range of the speed limit data as position data to be used,
The moving means determination system calculates a moving speed of the moving body based on the extracted position data of the usage target,
The moving means discriminating system, wherein the moving means discriminating system refers to the moving means discriminating data and discriminates a moving means corresponding to the calculated moving speed.
A computer-readable non-transitory storage medium for storing a program for causing a processor included in a moving means determination system to execute processing for determining moving means of a moving body,
The moving means determination system includes:
Speed limit data including a speed limit range that is a geographical range that may limit the moving speed of the moving body;
Storing moving means discrimination data in which moving means of the moving body corresponding to the moving speed of the moving body is registered;
In the process,
Obtaining position data including the position of the moving body and the time at which the position was obtained;
Position data other than the position data in which the position included in the acquired position data is within the speed limit range of the speed limit data is extracted as position data to be used;
Calculate the moving speed of the mobile body based on the extracted location data of the usage target,
A computer-readable non-transitory storage medium, wherein the moving means corresponding to the calculated moving speed is determined with reference to the moving means determination data.