JP5448704B2 - Traffic volume acquisition device and traffic volume acquisition method - Google Patents

Description

  The present invention relates to a traffic acquisition device and a traffic acquisition method for acquiring traffic such as pedestrians and automobiles in a predetermined section.

  I often see investigators investigating pedestrian traffic on the streets. In a conventional pedestrian traffic survey, an investigator measures the number of cars and pedestrians passing through a corresponding position on a street using a counter (counter). Then, the counted result is entered on a predetermined sheet, and totaled according to the purpose. And the technique of making such a traffic volume survey paperless and measuring efficiently is disclosed as follows.

  For example, in Patent Document 1, a mobile device (portable terminal) is used as a counter for counting cars, pedestrians, etc., and data counted by the investigator in the mobile device is transmitted to a server, and automatically according to the purpose. The technology related to the traffic volume survey system is summarized. According to this, it is possible to automate and paperless traffic flow surveys and reports.

JP 2004-302816 A

  However, in the traffic volume survey system in the above-mentioned Patent Document 1, although it is possible to automatically count without using a counting sheet or the like, the investigator goes out to the street and counts the traffic volume according to the purpose. Must. For this reason, labor costs for securing investigators are incurred, and it takes time to prepare for traffic surveys, etc., making it difficult to conduct traffic surveys.

  An object of this invention is to provide the traffic acquisition apparatus and traffic acquisition method which can acquire easily the information regarding the traffic of the location to obtain.

In order to solve the above-described problem, the traffic volume acquisition device of the present invention is a point data including position information indicating a user's position, time information when the position information is obtained, and a user identifier of the user, A position information reading unit that reads the point data over a plurality of times for the user, an attribute information reading unit that reads attribute information including the user's address information and the user identifier of the user, and a user identifier included in the point data A second combining unit that generates second combined data by associating point data with attribute information based on a user identifier included in the attribute information, a section information reading unit that reads line data including position information of a predetermined section, and , based on the position information included in the position information and line data included in the second combined data, a second binding data and the line A first coupling portion for generating a first combined data in association with each over data, on the basis of the time information and address information included in the first combined data, counts the number of user identifiers per unit time for each predetermined interval And a traffic volume acquisition unit that acquires traffic volume other than local residents in a predetermined section.

Further, the traffic volume survey method of the present invention is a traffic volume acquisition method executed by a traffic volume acquisition device, and includes position information indicating a user's position, time information when the position information is obtained, and the user's Point data including a user identifier, a position information reading step for reading the point data over a plurality of times for a plurality of users, and attribute information reading for reading attribute information including the user address information and the user identifier of the user A second combining step for generating second combined data by associating the point data with the attribute information based on the step, the user identifier included in the point data and the user identifier included in the attribute information, and position information of the predetermined section and section information reading step of reading a line data including the position information and lines included in the second combined data Based on the position information included in the chromatography data, a first coupling step of generating a first combined data in association with second coupling data and line data, the time information and address information included in the first combined data And a traffic volume acquisition step of acquiring traffic volume other than local residents in the predetermined section by counting the number of user identifiers per unit time for each predetermined section.

  Here, the “section” refers to a section (link) connecting nodes (nodes) such as intersections and stations in a road network or a railway network. In addition, the traffic volume here is not only pedestrian traffic volume, but also, for example, automobile traffic volume obtained by applying predetermined processing considering moving speed, multiple movements, etc., the number of users of transportation facilities, etc. Is also included.

  According to such a traffic volume acquisition device and traffic volume acquisition method, the number of users can be tabulated for each time for each section based on the user identifier and time information included in the point data associated with the line data. It is possible to calculate traffic volume such as pedestrian traffic volume. As a result, it is possible to easily acquire information relating to the traffic volume at a desired location without performing measurement on the streets in order to acquire the traffic volume of the predetermined section.

  Further, in the traffic volume acquisition device of the present invention, the attribute information reading unit for reading attribute information including information on the user who owns the mobile device and the user identifier of the user, and the user identifier and attribute information included in the point data And a second combining unit that generates the second combined data by associating the point data with the attribute information based on the user identifier to be generated, and the traffic volume acquiring unit includes the attribute included in the second combined data. Based on the information, the traffic volume related to a user who meets a certain attribute condition may be acquired. The attribute information here includes, for example, information such as sex, age, current address, occupation, and work address.

  According to such a traffic volume acquisition device, it is possible to count not only the traffic volume in a predetermined section but also the number of users by sex and age for each time in the predetermined section. As a result, it is possible to acquire data included in the attribute information, for example, data capable of grasping the characteristics of the traffic volume from the viewpoints of sex and age.

  In the traffic volume acquisition device of the present invention, the map information reading unit that reads map information divided into predetermined section units and the predetermined section corresponding to the map information are colored based on the traffic volume totaled for each predetermined section. Alternatively, an output unit for applying a pattern may be further provided. According to such a traffic volume acquisition device, it is possible to provide information capable of intuitively grasping the traffic volume in a predetermined section.

  Moreover, in the traffic volume acquisition device of the present invention, a transportation means determination unit that determines transportation means in a predetermined section based on a moving speed calculated from a time-series change of position information for each user identifier included in the first combined data. The traffic volume acquisition unit may acquire the traffic volume that matches the conditions of a certain traffic mode based on the traffic mode obtained by the determination by the traffic mode determination unit. According to such a traffic volume acquisition device, it is possible to acquire the traffic volume of a predetermined section for each transportation means.

  In the traffic volume acquisition device of the present invention, the traffic condition determination unit that determines the traffic condition in the predetermined section based on the moving speed calculated from the time series change of the position information for each user identifier included in the first combined data. The traffic volume acquisition unit may acquire a traffic volume that matches a certain traffic condition based on the traffic situation obtained by the judgment by the traffic situation judgment unit. According to such a traffic volume acquisition device, it becomes possible to grasp the traffic jam situation in a predetermined section.

  According to the present invention, it is possible to easily acquire information relating to the traffic volume at a location desired to be obtained.

1 is a system configuration diagram of a communication system including a traffic volume acquisition device according to a preferred embodiment of the present invention. It is a block diagram which shows the function structure of the traffic volume acquisition apparatus concerning suitable embodiment of this invention. It is a figure explaining an example of a data structure of point data, attribute data, and 1st combined data. It is a figure explaining the section which is a total unit of traffic. It is a figure explaining an example of a data structure of point data and 2nd combined data. It is a figure explaining an example of the traffic volume for every area which the traffic volume acquisition part of FIG. 2 acquires. It is a figure explaining an example of a data structure of polyline data. It is a figure explaining the data which the output part of FIG. 2 outputs. It is a flowchart which shows the process in the traffic acquisition apparatus of FIG. It is a block diagram which shows the function structure of the traffic acquisition apparatus concerning suitable other embodiment of this invention.

  Embodiments of the present invention will be described with reference to the accompanying drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

[Configuration of communication system]
FIG. 1 is a system configuration diagram of a communication system 10 according to a preferred embodiment of the present invention. As shown in FIG. 1, the communication system 10 includes a mobile device 100, a BTS (base station) 200, an RNC (radio control device) 300, an exchange 400, various processing nodes 700, and a management center 500. . The management center 500 includes a social sensor unit 501, a petamining unit 502, a mobile demography unit 503, and a visualization solution unit 504.

  The exchange 400 collects the location information of the mobile device 100 via the BTS 200 and the RNC 300. The RNC 300 can measure the position of the mobile device 100 using the delay value in the RRC connection request signal when communication connection is established with the mobile device 100. The exchange 400 can receive the position information of the mobile device 100 measured in this way when the mobile device 100 performs communication connection. The exchange 400 stores the received position information, and outputs the collected position information to the management center 500 at a predetermined timing or in response to a request from the management center 500. Here, in general, the RNC 300 is composed of about 1,000 pieces and is arranged throughout Japan. On the other hand, about 300 exchanges 400 are arranged in Japan.

  The various processing nodes 700 acquire the location information of the mobile device 100 through the RNC 300 and the exchange 400, perform recalculation of the location in some cases, and collect at a predetermined timing or in response to a request from the management center 500 The obtained position information is output to the management center 500.

  As described above, the management center 500 includes the social sensor unit 501, the petamining unit 502, the mobile demography unit 503, and the visualization solution unit 504, and each unit uses the position information of the mobile device 100. Perform statistical processing.

  The social sensor unit 501 is a server device that collects data including location information of the mobile device 100 from each exchange 400 and various processing nodes 700 or offline. The social sensor unit 501 receives data periodically output from the exchange 400 and the various processing nodes 700, or acquires data from the exchange 400 and the various processing nodes 700 according to a predetermined timing in the social sensor unit 501. It is configured to be able to do.

  The petamining unit 502 is a server device that converts data received from the social sensor unit 501 into a predetermined data format. For example, the petamining unit 502 performs a sorting process using a user identifier as a key, or performs a sorting process for each area.

  The mobile demography unit 503 is a server device that performs aggregation processing on the data processed in the petamining unit 502, that is, count processing for each item. For example, the mobile demography unit 503 can count point data for each user belonging to a certain section, and can total pedestrian traffic for each section.

  The visualization solution unit 504 is a server device that processes the data aggregated in the mobile demography unit 503 so as to be visible. For example, the visualization solution unit 504 can map the aggregated data on a map. The data processed by the visualization solution unit 504 is provided to companies, government offices, or individuals, and used for store development, road traffic surveys, disaster countermeasures, environmental countermeasures, and the like. It should be noted that the information statistically processed in this way is processed so that individuals are not specified so as not to infringe privacy.

  The social sensor unit 501, the petamining unit 502, the mobile demography unit 503, and the visualization solution unit 504 are all configured by the server device as described above, and although not shown, the basic configuration of a normal information processing device Needless to say, it includes a CPU, a RAM, a ROM, an input device such as a keyboard and a mouse, a communication device that communicates with the outside, a storage device that stores information, and an output device such as a display and a printer.

[Configuration of Traffic Acquisition Device 600]
Next, the traffic volume acquisition device 600 according to the present embodiment will be described. FIG. 2 shows a functional block configuration of the traffic volume acquisition device 600. As shown in FIG. 2, the traffic volume acquisition device 600 includes a position information reading unit 601, an attribute information reading unit 602, a second combining unit 603, a section information reading unit 604, a first combining unit 605, a traffic volume acquiring unit 606, A map information reading unit 607 and an output unit 608 are provided. The function of each part will be described later.

  The position information in the present embodiment is processed in the form of point data mainly including position information indicating the position of the user, time information when the position information is obtained, and a user identifier of the data. Point data for a plurality of users over a plurality of times is stored in the position information database 670. As the “point data” here, GPS positioning data obtained by a GPS positioning system is adopted. The line data including the section position information, the polyline data indicating the section area, and other map information are stored in the map information database 680. Also, attribute information that is information regarding the user who owns the mobile device 100 is stored in the attribute information database 690.

  The correspondence between the logical configuration of FIG. 2 and the system configuration of FIG. 1 will be outlined. Here, as an example, the traffic volume acquisition device 600 corresponds to the mobile demography unit 503 and the visualization solution unit 504 in FIG. 1, and the position information database 670, the map information database 680, and the attribute information database 690 are the same as those in FIG. This corresponds to the mining unit 502.

  Hereinafter, functions of each unit of the traffic volume acquisition device 600 of FIG. 2 will be described. The position information reading unit 601 is point data including position information indicating the position of the user, time information when the position information is obtained, and a user identifier of the user, and the position information reading unit 601 includes a plurality of times for a plurality of users. This is a part for reading point data from the position information database 670. As shown in FIG. 3A, the point data is, for example, a position information database 670 according to a point data table formed mainly including “user identifier”, “time stamp”, “latitude”, and “longitude”. Stored in

  The attribute information reading unit 602 is a part that reads from the attribute information database 690 attribute information including information regarding the user who owns the mobile device 100 and the user identifier of the user. As shown in FIG. 3B, the attribute information data is stored in the attribute information database 690 according to the attribute information data table formed mainly including “user identifier”, “gender”, “age”, and “address code”. Stored.

  The second combining unit 603 is a part that generates the second combined data by associating the point data with the attribute information based on the “user identifier” included in the point data and the “user identifier” included in the attribute information. . As shown in FIG. 3C, the second combined data includes, for example, “user identifier”, “time stamp”, “latitude”, “longitude”, “gender”, “age”, and “address code”. Are generated in accordance with the second combined data table.

  The section information reading unit 604 is a part that reads information related to a section of the road network. The section in the road network here refers to sections L1 to L19 between nodal points N1 to N12 such as intersections and adjacent nodal points N1 to N12, as shown in FIG. In addition, the element used as a nodal point is not restricted to an intersection, It can set arbitrarily, such as a change point (for example, bending point) on other road network expression. The section position information is managed as line information. The “line information” is composed of, for example, a combination of data such as start point coordinates and end point coordinates, and start point coordinates, direction, and length. As shown in FIG. 5 (a), the line data, which is information related to the section of the road network, is a line formed mainly including, for example, “line identifier”, “line information”, “section name”, and the like. It is stored in the map information database 680 according to the data table.

  The first combining unit 605 is a part that generates first combined data by associating point data and line data based on position information included in point data and position information included in line data. Specifically, based on the information such as “latitude” and “longitude” included in the point data and the line information included in the line data, the nearest line data is searched for the position of the point data, and the point data The first combined data is generated in association with the line data. As shown in FIG. 5B, the first combined data includes, for example, “line identifier”, “line information”, “user identifier”, “time stamp”, “latitude”, “longitude”, “sex” ”,“ Age ”, and“ address code ”are generated according to the first combined data table.

  The traffic volume acquisition unit 606 is a part that acquires the pedestrian traffic volume for each section by counting the number of user identifiers per unit time for each section based on the “time stamp” included in the first combined data. is there. Specifically, for example, when totaling the number of user identifiers per predetermined hour, data including the corresponding time is extracted from the first combined data, and the number of unique user identifiers is totalized To do. Thereby, for example, as shown in FIG. 6A, the pedestrian traffic volume in which the number of user identifiers is tabulated for each section can be obtained. In addition, the traffic volume acquisition unit 606 can further count the pedestrian traffic volume obtained by counting the number of user identifiers per unit time for each section for each attribute information. Specifically, the traffic volume acquisition unit 606 can calculate the pedestrian traffic volume based on attribute information such as “sex”, “age”, and “address code” included in the first combined data. Thereby, for example, it becomes possible to count the number of users by sex and age for each section. As a result, the traffic volume acquisition unit 606 can acquire the pedestrian traffic volume obtained by counting the number of user identifiers by sex and age for each section as shown in FIG.

  The map information reading unit 607 is a part that reads region information related to a section of the road network. The area information of the section is managed as polyline information. The polyline information includes, for example, vertex information formed from the identification name of each vertex and each vertex coordinate, and connection relationship information indicating a connection relationship of the vertex information. Then, as shown in FIG. 7, the polyline data, which is information related to the road network area, is stored in the map information database 680 in accordance with a polyline data table formed mainly including “line identifier”, “polyline information”, and the like. ing.

  Based on the pedestrian traffic acquired for each section, the output unit 608 applies a color or a pattern to the area for each section expressed by the polyline data read by the map information reading unit 607. Specifically, for example, as illustrated in FIG. 8, the output unit 608 has a pedestrian traffic volume at a predetermined time (for example, 0 to 50 people, 51 to 100 people, 101 to 150 people, 151 people or more). Accordingly, a pattern is applied to the area expressed by the polyline data.

[Processing in Traffic Acquisition Device 600]
Hereinafter, the process in which the traffic volume acquisition apparatus 600 acquires the pedestrian traffic volume will be described in detail with reference to FIG. First, the section information reading unit 604 reads line data having a data structure as shown in FIG. 5A including the position information of the section from the map information database 680 (step S1). In parallel with this step S1, the following steps S2 to S4 are executed.

  The position information reading unit 601 includes “latitude” and “longitude” indicating the position of the user, “time stamp” indicating the time when the position information was obtained, and “user identifier” of the user, as shown in FIG. The point data having the data structure as shown in a) and the point data for a plurality of users over a plurality of times are read from the position information database 670 (step S2).

  Next, the attribute information reading unit 602 includes “gender”, “age”, “address code” indicating the attributes of the user who owns the mobile device 100, and “user identifier” of the user in FIG. The attribute information having the data structure as shown is read from the attribute information database 690 (step S3).

  Next, the second combining unit 603 associates the point data with the attribute information based on the user identifier included in the point data read in step S2 and the user identifier included in the attribute information read in step S3. Second combined data having a data structure as shown in 3 (c) is generated (step S4).

  Next, based on the “latitude” and “longitude” included in the line data read in step S1 and the line information included in the second combined data generated in step S4, the first combining unit 605 performs the second operation. The nearest line data for the combined data is searched (step S5).

  Next, the first combining unit 605 assigns information on the nearest line data searched in step S5 to each second combined data, and the first data structure as shown in FIG. 5B. Combined data is generated (step S6).

  Next, the traffic volume acquisition unit 606 counts the number of unique user identifiers per unit time for each section based on the “time stamp” included in the first combined data, for example, FIG. The traffic volume for each section as shown in a) is acquired (step S7). Thereby, the pedestrian traffic volume in a desired section and a desired time can be acquired. In addition, the traffic volume acquisition unit 606 generates a per-time unit for each section based on the “time stamp” included in the first combined data and the “sex”, “age”, and “address code” included in the second combined data. By counting the number of unique user identifiers, for example, the traffic volume for each section as shown in FIG. 6B is acquired. In this way, by setting desired conditions from the first combined data, it becomes possible to acquire the traffic volume related to the user that matches the desired section, desired time, and desired attribute conditions.

  And the traffic volume acquisition part 606 outputs a total result as shown, for example in Fig.6 (a) or FIG.6 (b) (step S8). Thereby, the traffic volume acquisition device 600 can provide the traffic volume of the desired condition in the desired section as numerical data.

  Next, the map information reading unit 607 reads the polyline data having the data structure as shown in FIG. 7 including the section area information from the map information database 680 (step S9).

  Next, the output unit 608 applies a color or a pattern to the corresponding polyline data region based on the pedestrian traffic volume for each section acquired in step S7 (step S10). Thereby, for example, map data in which a predetermined pattern is applied to an area indicating a section as shown in FIG. 8 is output. The map data shown in FIG. 8 has a pedestrian traffic volume of 0 to 50 people in the sections L4 and L7, a pedestrian traffic volume of 51 to 100 people in the section L10, and a pedestrian traffic volume of 101 to 10 in the sections L11 and L13. It shows that 150 people and the pedestrian traffic in the sections L9, L12, and L15 are 151 or more. The output unit 608 can display not only the polyline data displayed in a color corresponding to the pedestrian traffic volume but also the map information stored in the map information database 680 in an overlapping manner. .

  As described above, according to the traffic acquisition device 600 of this embodiment, based on the point data associated with the line data, that is, the “user identifier” and the “time stamp” included in the first combined data. Thus, as shown in FIG. 5A, it is possible to obtain the pedestrian traffic volume for each section by counting the number of users for each section and for each time. As a result, it is possible to easily acquire the pedestrian traffic volume at a desired location without actually measuring the number of pedestrians on the street in order to acquire the traffic volume of the predetermined section.

  Further, according to the traffic volume acquisition device 600 of the present embodiment, the number of users by sex and age is tabulated for each section and for each time. As a result, it is possible to acquire data that allows the characteristics of the pedestrian traffic volume to be grasped from the viewpoints of gender and age included in the attribute information.

  Moreover, according to the traffic volume acquisition apparatus 600 of this embodiment, the area | region of a corresponding area is given the color or the pattern on the predetermined conditions based on the pedestrian traffic volume totaled for every area. As a result, information capable of intuitively grasping the traffic volume in the predetermined section can be provided.

  The present invention has been described in detail based on the embodiments. However, the present invention is not limited to the above embodiment. The present invention can be modified in various ways as described below without departing from the scope of the invention.

  As shown in FIG. 10, the traffic volume acquisition device 600 of the above embodiment is based on the moving speed calculated from the time series change of “latitude” and “longitude” for each user identifier included in the first combined data. A traffic means determining unit 611 that determines the means of transportation in the predetermined section is further provided, and the traffic volume acquisition unit 606 is based on the traffic means obtained by the determination by the traffic means determining unit 611 and meets the conditions of a certain means of transportation. An amount may be obtained.

  For example, the transportation means determination unit 611 arranges point data for each user in time series, and calculates a moving speed between adjacent point data based on “latitude” and “longitude” included in the point data. Then, the transportation means determination unit 611 compares the moving speed V calculated in this way with the first reference speed V1 and the second reference speed V2 for determining transportation means, for example. When the moving speed V <the first reference speed V1, the transportation means is determined as “walking”, and when the first reference speed V1 ≦ the moving speed V <the second reference speed V2, the transportation means is “bicycle”. When the second reference speed V2 ≦ the moving speed V, the transportation means is determined to be “bus (including car)”. At that time, if information such as bus routes is taken into consideration, the identification accuracy is further increased. According to such a traffic volume acquisition device 600, it is possible to acquire the traffic volume of a predetermined section for each transportation means.

  Further, as shown in FIG. 10, the traffic volume acquisition device 600 of the above embodiment is based on the moving speed calculated from the time series change of “latitude” and “longitude” for each user identifier included in the first combined data. The traffic volume acquisition unit 606 further matches a condition of a traffic jam situation based on the traffic jam situation obtained by the judgment by the traffic jam situation judgment unit 612. You may acquire the traffic volume.

  For example, the traffic situation determination unit 612 arranges point data for each user in time series, and calculates a moving speed between adjacent point data based on “latitude” and “longitude” included in the point data. Next, the traffic jam situation determination unit 612 compares the movement speed calculated in this way with a standard movement speed in the preset section. Here, when it is determined that the travel speed calculated in comparison with the standard travel speed is slower, the traffic jam condition determination unit 612 can specify that the vehicle has moved during the traffic jam. According to such a traffic volume acquisition device 600, it is possible to grasp a traffic jam situation in a predetermined section.

  In the traffic volume acquisition device 600 of the above embodiment, the traffic volume acquisition unit 606 has been described with an example in which the pedestrian traffic volume based on “sex” and “age” is acquired from the tail attribute information. It is not limited to this. For example, the traffic volume acquisition unit 606 can also acquire the pedestrian traffic volume other than the local residents in the total pedestrian traffic volume by acquiring the traffic volume based on the “address code”. Thereby, it becomes possible to acquire what is called a tourist's pedestrian traffic volume by acquiring pedestrian traffic volume other than a local resident in a sightseeing spot.

  Moreover, in the traffic volume acquisition apparatus 600 of the said embodiment, although the traffic volume acquisition part 606 gave and demonstrated the example which acquires various traffic volumes about the area in a road network, it is not limited to this. For example, the traffic volume acquisition unit 606 may acquire various traffic volumes for sections in the railway network. In this case, for example, it is possible to set a section (link) between stations. In this case, it is possible to acquire the railway transportation amount at each time as the traffic amount by the same processing as in the above embodiment. Similarly, if the attribute information is used, the railway transportation amount can be acquired for each time and for each attribute.

  Further, in the traffic volume acquisition device 600 of the above embodiment, the output unit 608 gives an example in which the area of the corresponding section is colored or patterned under a predetermined condition based on the pedestrian traffic volume counted for each section. However, the present invention is not limited to this. For example, the output unit 608 can be arbitrarily set, such as outputting so as to display only a section that meets a predetermined condition (for example, pedestrian traffic is 151 or more).

  Further, in the traffic volume acquisition device 600 of the above embodiment, the output unit 608 predetermines a region expressed by polyline data having a data structure as shown in FIG. 7 based on the pedestrian traffic volume aggregated for each section. Although the example which gives a color or a pattern on the conditions of this was demonstrated, it is not limited to this. For example, the output unit 608 may display a line expressed by line data having a data configuration as shown in FIG.

  Moreover, in the traffic acquisition device 600 of the above-described embodiment, the traffic acquisition unit 606 performs extraction based on predetermined conditions based on attribute information (gender, age, address code) and the like included in the first combined data. Although described above, the present invention is not limited to this. For example, the point data and the line data may include a data storage unit that stores data in a distributed manner based on predetermined conditions (for example, for each region, each time, and each attribute). It becomes possible to acquire pedestrian traffic. Further, the position information reading unit 601, the section information reading unit 604, and the attribute information reading unit 602 that read from the position information database 670, the map information database 680, and the attribute information database 690 may read data based on a predetermined condition. Good.

  Moreover, although the traffic volume acquisition apparatus 600 of the said embodiment demonstrated and demonstrated the example which reads the polyline data which shows the area | region information of the area divided | segmented into the area beforehand, it is not limited to this. For example, as shown in FIG. 10, a section dividing unit 613 that reads line data related to a road network from a map information database 680 and divides the line data into sections based on information such as intersections may be provided.

  Moreover, although the traffic volume acquisition apparatus 600 of the said embodiment gave and demonstrated the example which processes step S1 and step S2-step S4 in parallel, it is not limited to this. For example, you may process in order from step S1 to step S4, and after processing step S2-step S4, you may perform step S1.

  DESCRIPTION OF SYMBOLS 10 ... Communication system, 100 ... Mobile equipment, 400 ... Exchange, 500 ... Management center, 501 ... Social sensor unit, 502 ... Petamining unit, 503 ... Mobile demography unit, 504 ... Visualization solution unit, 600 ... Traffic volume acquisition apparatus 601 ... position information reading unit 602 ... attribute information reading unit 603 ... combination unit 604 ... section information reading unit 605 ... combination unit 606 ... traffic volume acquisition unit 607 ... map information reading unit 608 ... output unit 611 ... Transport means determination unit, 612 ... Congestion situation determination unit, 613 ... Section division unit, 670 ... Position information database, 680 ... Map information database, 690 ... Attribute information database, 700 ... Various processing nodes.

Claims (5)

Point information including position information indicating the position of the user, time information when the position information is obtained, and user identifier of the user, and reading the point information over a plurality of times for a plurality of users And
An attribute information reading unit that reads attribute information including the address information of the user and the user identifier of the user;
A second combining unit that generates second combined data by associating the point data with the attribute information based on the user identifier included in the point data and the user identifier included in the attribute information;
A section information reading unit for reading line data including position information of a predetermined section;
Based on said position information included in the line data and the position information included in the second coupling data, the first coupling portion for generating a first combined data in association with the line data and the second combined data When,
Based on the time information and the address information included in the first combined data, the traffic volume other than the local residents in the predetermined section is calculated by counting the number of the user identifiers per unit time for each predetermined section. A traffic volume acquisition unit to acquire;
It is provided with the traffic volume acquisition apparatus characterized by the above-mentioned. A map information reading unit that reads map information divided in units of the predetermined section;
An output unit that applies a color or a pattern to the predetermined section corresponding to the map information, based on the traffic volume aggregated for each predetermined section;
The traffic volume acquisition device according to claim 1, further comprising: The vehicle further includes a transportation means determination unit that determines transportation means in the predetermined section based on a moving speed calculated from a time series change of the position information for each of the user identifiers included in the first combined data.
The traffic acquisition unit, based on the transportation obtained as determined by the transportation judging unit, to claim 1 or 2, characterized in that obtaining the traffic that matches the condition of a transport The traffic volume acquisition device described. A traffic condition determining unit that determines a traffic condition in the predetermined section based on a moving speed calculated from a time-series change of the position information for each of the user identifiers included in the first combined data;
The traffic acquisition unit, on the basis of the said traffic conditions obtained by determination by the traffic congestion determining unit is matched to the conditions of the traffic jam condition claims 1-3, characterized in that to obtain the traffic The traffic volume acquisition device according to any one of the above. A traffic acquisition method executed by a traffic acquisition device,
Point information including position information indicating the position of the user, time information when the position information is obtained, and user identifier of the user, and reading the point information over a plurality of times for a plurality of users Steps,
An attribute information reading step for reading attribute information including the user's address information and the user identifier of the user;
A second combining step of generating second combined data by associating the point data with the attribute information based on the user identifier included in the point data and the user identifier included in the attribute information;
A section information reading step for reading line data including position information of a predetermined section;
First coupling step of generating the position information on the basis of said position information included in said line data, the first combined data in association with said second combined data and the line data included in the second combined data When,
Based on the time information and the address information included in the first combined data, the traffic volume other than the local residents in the predetermined section is calculated by counting the number of the user identifiers per unit time for each predetermined section. A traffic acquisition step to acquire;
A traffic acquisition method characterized by comprising: