JP5143955B2 - Population flow information generation system and population flow information generation method - Google Patents

Description

  The present invention relates to a population flow information generation system and a population flow information generation method for generating population flow information for a plurality of mobile devices.

  Conventionally, there has been known a method of acquiring position information of a mobile object such as a mobile phone or a ship and detecting a moving direction and a movement locus of the mobile object based on the position information (Patent Documents 1 and 2 below). reference). In the method described in Patent Document 1, a photographic image is divided into four sections according to the moving direction with the current position of the mobile phone as the origin, and the divided photographic images are displayed on the display screen. Further, in the method described in Patent Document 2, the own ship position and its wake are displayed together with other ship positions and the wake.

JP 2002-63700 A JP 2008-190956 A

  However, the conventional methods as described above can detect the movement direction and movement trajectory of each mobile object, but the movement tendency of the entire mobile terminal user in a mobile communication system to which many mobile terminals are connected. It is difficult to grasp. In addition, when trying to aggregate and use the positioning calculation results in a plurality of mobile terminals, the mobile mobile terminal's overall movement tendency is calculated because the positioning calculation methods and positioning calculation timings at each mobile terminal vary. Processing tends to be complicated.

  Therefore, the present invention has been made in view of such a problem, and a population flow information generation system and a population flow information generation method capable of efficiently generating information related to the movement tendency of a user of the entire mobile communication system. The purpose is to provide.

The population flow information system of the present invention for solving the above-mentioned problems is obtained from a wireless network control device that controls a plurality of base stations wirelessly connected to a mobile device corresponding to a sector where the mobile device is located. A population flow information generation system capable of receiving a branch addition report including a sector identification information of a movement source and a sector identification information of a movement destination related to a branch added at the time of handover of a mobile device from a radio network control device Based on the branch addition report, a storage unit for storing the number of branches added for each combination of the movement source sector identification information and the movement destination sector identification information, and two-dimensional coordinates. For each of a plurality of total areas, the number of branches added stored by the storage unit for the combination corresponding to each total area is calculated. A totaling unit for counting, and an output unit for converting the added number of branches totaled for each of the plurality of totaling areas into a predetermined output format and outputting the information as population flow information. The radius is calculated in accordance with the number of sectors included in the predetermined distance from the total, and the added number of branches is totaled for combinations included in the radius range from the total area.

  Alternatively, the population flow information generation method according to the present invention receives information from a radio network controller that controls a plurality of base stations wirelessly connected to a mobile device corresponding to the sector where the mobile device is located, and receives the population flow information A population flow information generation method for generating information, wherein the population flow information generation system includes a move source sector identification information and a move destination sector identification information related to a branch added at the time of handover of a mobile device from a wireless network control device. And a population flow information generation system that stores the number of branch additions for each combination of the source sector identification information and the destination sector identification information based on the branch addition report. And a population flow information generation system for each of a plurality of total areas preset in two-dimensional coordinates. A totaling step for counting the number of added branches stored in the storing step, and a population flow information generation system that determines the number of branches added for each of the totaling areas, for a combination corresponding to the totaling area An output step that converts the data into an output format and outputs it as population flow information. In the counting step, a radius is calculated according to the number of sectors included in a predetermined distance from the center of the counting area, and the radius ranges from the counting area. The number of branches added is counted for the combinations included in.

  According to such a population flow information generation system and population flow information generation method, a branch addition report related to a branch added at the time of handover is received from a radio network control device that controls a plurality of base stations to which a mobile station is wirelessly connected. The number of branches added is stored for each combination of the source sector identification information and the destination sector identification information received and included in the branch addition report, and for each predetermined total area, the combination corresponding to the total area is stored. The added number of branches is aggregated, and the aggregated added number of branches is converted into population flow information and output. Thus, by outputting population flow information using a branch addition report, movement information regarding users of a plurality of mobile devices can be efficiently generated without adding complicated processing. Furthermore, by counting the number of user movements for each predetermined aggregation area, it is possible to easily grasp the movement tendency of the entire user of the mobile device regardless of the sector configuration formed by the base station. In addition, by adopting such a configuration, it is possible to adjust the sectors to be aggregated in the aggregation area according to the number of sectors in the aggregation area, and thus accurately reflect the movement tendency of users between sectors to the population flow information. Can be made.

  It is preferable that the output unit superimposes population flow information on a predetermined map image and outputs it as superimposed image data. In this way, the movement tendency of the entire user of the mobile device can be more easily grasped.

  The population flow information system of the present invention for solving the above-mentioned problem is based on a totaling unit that counts the number of movements of mobile devices that move between predetermined areas, and the number of movements totaled by the totaling unit, A calculation unit that calculates the population flow rate for each aggregation area, an output unit that converts the population flow rate for each aggregation area calculated by the calculation unit into a predetermined output format, and outputs it as population flow information, and an aggregation target in the aggregation unit A prescribing unit that prescribes one expected movement range of the user based on the moving distance between the areas, and the calculation unit includes the moving range prescribed by the prescribing unit and the one moving range. The population flow rate in the one total area is calculated based on the area ratio with the one total area that is included in advance and the number of movements between the areas that are the target of aggregation by the totaling unit. Thereby, the movement tendency of the whole user of a mobile device can be grasped | ascertained easily. Moreover, by this, a population flow volume can be grasped | ascertained according to a user's moving range, and a population flow rate can be grasped | ascertained appropriately.

  In addition, the population flow information system of the present invention includes an acquisition unit that acquires position information of each mobile device, and a storage unit that stores the position information acquired by the acquisition unit, and the aggregation unit stores the storage unit in the storage unit. It is preferable to count the number of movements of the mobile device between the areas determined in advance as the area based on the position information. Thereby, the number of movements of the mobile device between the areas can be grasped from the position information.

  Further, in the population flow information system of the present invention, the population flow information system further comprises a receiving unit for receiving a branch addition report including the source sector identification information and the destination sector identification information related to the branch added at the time of handover, For each counting area, it is preferable to count the number of branch additions as the number of movements based on the branch addition report received by the receiving unit. Accordingly, by outputting population flow information using the branch addition report, movement information regarding users of a plurality of mobile devices can be efficiently generated without adding complicated processing. Furthermore, by counting the number of user movements for each predetermined aggregation area, it is possible to easily grasp the movement tendency of the entire user of the mobile device regardless of the sector configuration formed by the base station.

  The population flow information system according to the present invention further includes an acquisition unit that acquires position information of each mobile device, and a storage unit that stores the position information acquired by the acquisition unit, and the aggregation unit is stored in the storage unit. It is preferable to count the number of movements of the mobile units between the totaling areas determined in advance as between the areas based on the positional information. Thereby, population flow volume can be grasped | ascertained for every total area.

  In the population flow information system of the present invention, the defining unit further defines another range of movement expected by the user based on the moving distance between other areas, and the calculating unit includes the area ratio and the area-to-area In addition to the number of movements in the one, the one total area included in the other movement range, the other movement range formed, and the number of movements of the mobile device moving between the other areas, It is preferable to calculate the population flow rate in the total area. Thereby, it is possible to grasp the population flow rate in a distributed manner according to the movement range of the user, and to properly grasp the population flow rate.

  Further, in the population flow information system of the present invention, the calculation unit is configured to calculate the duplication portion in one aggregation area partially overlapping with another movement range among the aggregation areas included in the movement range. Based on the area ratio between the part and the other movement range and the number of movements between other areas, calculate the population flow rate in the overlapping part of one aggregation area, and for one movement range in one aggregation area It is preferable to calculate the population flow rate in one total area in consideration of the number of movements between other areas by adding the calculated population flow rate. Thereby, it is possible to grasp the population flow rate in a distributed manner according to the movement range of the user, and to properly grasp the population flow rate.

  The population flow information system of the present invention further includes a communication unit that enables access to an attribute storage unit that stores user attribute information, and the aggregation unit includes user attribute information stored in the attribute storage unit. It is preferable to count the number of movements for each attribute indicated by. Thereby, the population flow volume for every attribute can be grasped | ascertained, and the movement tendency of the user of the mobile device for every attribute can be grasped.

  In the population flow information system according to the present invention, the acquisition unit also acquires time information indicating the time at which the position is located together with the position information, and the storage unit corresponds to the position information and time information acquired by the acquisition unit. It is preferable that the totaling unit counts the number of movements included in the time zone indicated in the time information. Thereby, the population flow rate for every time slot | zone can be grasped | ascertained, and the movement tendency of the user of the mobile device for every attribute can be grasped.

  Further, in the population flow information system of the present invention, an acquisition unit that acquires the location information of the mobile device with the passage of time, and the expected movement range of the user based on the movement transition of the location information acquired by the acquisition unit. Calculates a flow index indicating the area ratio between the prescribed part to be defined, the expected movement range of the user prescribed in the prescribed part, and a predetermined aggregate area, and the flow index is calculated for all users in the aggregate area unit. And a calculation unit that calculates the population flow rate for each total area by cumulative addition. Thereby, regardless of the sector configuration formed by the base station, the movement tendency of the entire user of the mobile device can be easily grasped. In addition, it is possible to grasp the population flow rate only from the transition of the position information of the user without grasping the number of movements between the areas.

  Further, in the population flow information system of the present invention, the defining unit forms a circle centered on a midpoint between two points indicated by the location information of the mobile device, and the calculating unit is a tabulation included in the circle It is preferable to calculate a population flow rate by calculating a flow rate index indicating an area ratio between the area and the formed circle and accumulating the flow rate indexes for all users. Thereby, the range of movement expected by the user can be formed in a circle. Therefore, a circle according to the moving distance of the user can be formed, and the population flow rate can be dispersed to be appropriate.

  Further, in the population flow information system of the present invention, the defining unit further defines another movement range expected by the user based on the movement transition of the position information acquired by the acquiring unit, and the calculating unit For each aggregate area included in the overlapping part of the range and the other movement range, the population flow rate in the formed movement range and the population flow rate in the other movement range are added together, It is preferable to calculate the population flow rate in the total area. The population flow rate can be grasped only from the transition of the user location information.

  Further, in the population flow information system of the present invention, the calculation unit includes, among the total areas included in the movement range, the overlap area partially overlapping with one total area and the other movement range. It is preferable to calculate the population flow rate by calculating a flow rate index composed of an area ratio between the overlapping area and another moving range and adding it to the flow rate index in one total area. The population flow rate can be grasped only from the transition of the user location information. Even when the total area is divided by the movement range, an appropriate population flow rate can be calculated from the area ratio.

  Further, for each combination, the tabulation unit specifies a circle having a radius corresponding to the inter-sector distance centered on the midpoint between the move source sector center and the move destination sector center position, and for each count area. It is also preferable to distribute and count the additional number of branches corresponding to the overlapping area with the circle. In this case, since the number of mobile stations moving between sectors can be allocated to the total area corresponding to the sector range, it is possible to accurately reflect the movement tendency of users between sectors in the population flow information. .

  ADVANTAGE OF THE INVENTION According to this invention, the information regarding the movement tendency of the user of the whole mobile communication system can be produced | generated efficiently.

1 is a schematic configuration diagram of a mobile communication system according to a preferred embodiment of the present invention. It is a block diagram which shows the function structure of the mobile communication system which is one Embodiment of a population flow production | generation system. It is a figure which shows the data structure of the branch addition number information transmitted to the information analysis apparatus of FIG. It is a figure which shows the data structure of the branch addition number information which the flow calculation part between sectors of FIG. 2 outputs. It is a block diagram of the data memorize | stored in the sector information storage part of FIG. 2, and the map information storage part. It is a conceptual diagram for demonstrating the total process by the information total part of FIG. It is a conceptual diagram for demonstrating the total process by the information total part of FIG. It is a conceptual diagram which shows the image data produced | generated by the output map production | generation part of FIG. It is a conceptual diagram which shows the image data produced | generated by the output map production | generation part of FIG. It is a flowchart which shows the operation | movement at the time of the population flow information generation | occurrence | production by the information analyzer of FIG. It is a conceptual diagram which shows the image data produced | generated by the output map production | generation part in the modification of this invention. It is a conceptual diagram which shows the image data produced | generated by the output map production | generation part in the modification of this invention. It is a schematic block diagram of the mobile communication system 10a in a modification. It is explanatory drawing of the memory | storage table which memorize | stores the positional information on the moving apparatus. It is explanatory drawing of the management table which manages the movement number between areas. It is explanatory drawing which shows the positional information which the positional information storage part 606a has memorize | stored. It is explanatory drawing which shows the movement transition table which shows a movement transition state. It is explanatory drawing which shows the method of calculating the population flow in 3rd embodiment.

  Hereinafter, preferred embodiments of a population flow information generation system and a population flow information generation method according to the present invention will be described in detail with reference to the drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

[First embodiment]
FIG. 1 is a schematic configuration diagram of a mobile communication system 10 according to a preferred embodiment of the present invention. As shown in FIG. 1, the mobile communication system 10 includes a mobile device 100, a BTS (base station) 200, an RNC (radio network control device) 300, an exchange 400, 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.

  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. Each unit is used for 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. The social sensor unit 501 is configured to receive data periodically output from the exchange 400 or to acquire data from the exchange 400 according to a predetermined timing in the social sensor unit 501.

  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 ID as a key, or performs a sorting process for each area to which data belongs.

  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 the number of users located in a certain area, and can total the distribution of the located areas.

  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. Data processed by the visualization solution unit 504 is provided to companies, government offices or individuals, and is 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 That is, it is needless to say that the apparatus includes an input device such as a CPU, a RAM, a ROM, 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.

  Next, a functional block configuration of the population flow information generation system according to the present embodiment will be described. FIG. 2 is a block diagram showing a functional configuration of the mobile communication system 10 which is a preferred embodiment of the population flow generation system. As shown in the figure, in the mobile communication system 10, a plurality of BTSs (base stations) 200 form a sector which is a communication area, and a plurality of mobile devices 100 are located in a plurality of sectors. The mobile communication system 10 includes an RNC 300 that controls communication between a plurality of BTSs 200 and an information analysis device 600. The information analysis apparatus 600 corresponds to the mobile demography unit 503 and the visualization solution unit 504 of FIG. The exchange 400, social sensor unit 501 and petamining unit 502 in FIG. 1 are not shown because they are devices not directly related to the present invention.

  The mobile device 100 includes a transmission unit 101 that transmits a branch addition report related to the branch added at the time of handover to the RNC 300. The “branch addition report” here includes source sector identification information (hereinafter referred to as “movement source sector ID”) and destination sector identification information (hereinafter referred to as “movement destination sector ID”). The standard specification “Radio Resource Control (RRC) Protocol Specification: 3GPP TS 25.331” stipulates that an “ACTIVE SET UPDATECOMPLETE” message is transmitted from the mobile device 100 to the RNC 300 when a branch is added. The message corresponds to the above branch addition report.

  The RNC 300 receives the branch addition report from the mobile device 100, and tabulates the number of branch additions for each combination of the movement source sector ID and the movement destination sector ID based on the received branch addition report. Section 302 and additional number information transmission for transmitting information related to the number of branches added for each combination of the migration source sector ID and the migration destination sector ID (hereinafter referred to as “branch addition number information”) to information analysis apparatus 600 Unit 303.

  For example, as shown in FIG. 3, the branch addition number information associates a movement source sector ID (denoted as “From sector ID”), a movement destination sector ID (denoted as “To sector ID”), and the number of branch additions. Are sent in the same data format. In addition, the aggregation process by the aggregation unit 302 can be performed at arbitrary timing and at arbitrary time intervals. Here, as an example, the aggregation processing execution time is set to one hour interval.

  The information analysis apparatus 600 includes an additional number information receiving unit 601 that receives branch addition number information from the RNC 300 for each combination of a movement source sector ID and a movement destination sector ID, and a combination of the received movement source sector ID and movement destination sector ID. An additional number information storage unit 606 that temporarily stores additional branch number information for each branch, an inter-sector flow rate calculation unit 602 that calculates an inter-sector population flow rate (population flow rate) from the branch additional number information, and an inter-sector population Sector information combining unit 603 that combines sector information with flow rate data, information totaling unit 604 that totals population flow for each predetermined total area, and map data for statistically outputting population flow on a map An output map generation unit 605, a sector information storage unit 607, a map information storage unit 608, and an output data storage unit 609. Needless to say, the “output” here includes display output and print output widely. In other words, the population flow rate information may be finally output on a display or the like, may be printed out from a printer or the like, or may be output both in display and printing.

  Hereinafter, the components of the information analysis apparatus 600 will be described in detail.

  The additional number information receiving unit 601 receives from the RNC 300 branch additional number information that associates the source sector ID, the destination sector ID, and the number of branch additions, and responds to the branch addition report generated during a predetermined period. The branch addition number information is stored in the addition number information storage unit 606.

  The inter-sector flow rate calculation unit 602 reads the branch addition number information from the addition number information storage unit 606, and calculates a bidirectional population flow rate between sectors. Specifically, the inter-sector flow rate calculation unit 602 calculates the branch addition number stored in the addition number information storage unit 606 between data having the same combination of the movement source sector ID and the movement destination sector ID, that is, the movement source sector. The data is summed up with data in which the ID and the destination sector ID are set in reverse. Then, the inter-sector flow rate calculation unit 602 adds the branch addition numbers for all combinations of sector IDs stored in the addition number information storage unit 606, and adds the plurality of added branch numbers to the first sector ID and the first sector ID. The information is output to the sector information combining unit 603 in association with the combination of two sector IDs. FIG. 4 shows an example of the data configuration of the branch addition number information output by the inter-sector flow rate calculation unit 602. As described above, the inter-sector flow rate calculation unit 602 adds the branch addition number “10” corresponding to the migration source sector ID “1” and the migration destination sector ID “2”, the migration source sector ID “2”, and the migration destination sector ID. By adding the branch addition number “30” corresponding to “1”, the branch addition number “40” corresponding to the first sector ID “1” and the second sector ID “2” is output.

  The sector information combining unit 603 combines the sector attribute information related to the sector attribute to the data including the number of added branches output from the inter-sector flow rate calculating unit 602. That is, the sector information combining unit 603 reads the sector attribute information by referring to the sector information storage unit 607 based on the first sector ID and the second sector ID associated with the number of branch additions. FIG. 5A shows an example of the data structure of the sector attribute information stored in the sector information storage unit 607. In the sector attribute information, the frequency band of the radio wave used at the time of wireless connection in the sector is shown. Sector frequency information “BAND1”, latitude information “SX1” and longitude information “SY2” indicating the center position of the sector, latitude information “BX1” and longitude information “BY1” indicating the position of the BTS 200 forming the sector, Are stored in association with the sector ID “1”. Therefore, the sector information combining unit 603 combines the sector attribute information corresponding to the first sector ID and the second sector ID with each of the data including the number of added branches, and adds the sector attribute information to the information totaling unit Output to 604.

  The information totaling unit 604 totals the number of branch additions for each predetermined totaling area for the data including the number of branch additions output from the sector information combining unit 603. This tabulation area is an area that divides two-dimensional coordinates including an area covered by the mobile communication system 10 as a communication service provision range with a predetermined shape, and serves as a population flow aggregation unit in the present embodiment. The setting information of the total area is stored in advance in the map information storage unit 608. As shown in FIG. 5B, the mesh ID “1” for identifying the total area, the position, shape, and Polygon data “MDATA1” for specifying the size is included. Therefore, the information totaling unit 604 totals the number of branch additions for each combination of sector IDs corresponding to the total area.

Here, the function of the information totaling unit 604 will be described in more detail with reference to FIGS. As shown in FIG. 6, when the two-dimensional coordinate is divided by a rectangular total area, first, the information totaling unit 604 first selects the sector on the two-dimensional coordinate specified with reference to the sector information storage unit 607. Based on the central coordinates S ₁ , S ₂ , S ₃ , S ₄ ,..., The plane on the two-dimensional coordinates is divided into Voronoi regions corresponding to the respective sectors. Then, the information totaling unit 604 creates a circle C ₀ with a radius R centering on the midpoint of the total area M _{1 to be} totalized, and sets the sectors in the region surrounded by the circle C ₀ as the total target. The radius R at this time is adjusted so that the number of Voronoi regions overlapping the inside of the circle C ₀ is equal for each total area. This makes it easy to grasp the trend of the entire population flow area as an average. For example, the information aggregation unit 604, the radius R, is adjusted to be inversely proportional from the midpoint of the aggregate area M ₁ and the number of Voronoi region included in a range of 1km.

Referring to FIG. 7, the information totaling unit 604 extracts the center coordinates S ₁ , S ₂ , S ₃ , S ₄ ,... Of the sectors located in the inner range of the created circle C ₀ , and Aggregate the number of branches added for all combinations. For example, when three sectors with sector IDs “1”, “2”, and “3” are extracted, combinations of sector IDs “1-2”, “1-3”, and “2-3” are selected. The number of branches added corresponding to these combinations I _ij (i, j are natural numbers where i <j) is multiplied by the vector size (distance between sector centers) V _ij connecting the sector centers. Then, a value ω = Σ (I _ij V _ij ) / A ₀ obtained by dividing the total value by the area A ₀ of the circle C ₀ is totaled as a population flow rate corresponding to the total area M ₁ . In this way, the information totaling unit 604 totals the population flow rate ω for all the total areas on the two-dimensional coordinates and outputs the total to the output map generation unit 605. The information totaling unit 604 may store the total population flow rate together with the total time. Moreover, you may make it memorize | store and match | combine with the flow volume time zone (time which moved) of a population.

  The output map generation unit 605 converts the population flow rate totaled for each total area into a predetermined data format such as a map data format or a table data format and outputs the data. The output data may be transmitted from the information analysis device 600 to an external server device, or may be stored in the output data storage unit 609 so that it can be referred to from the outside.

  For example, the output map generation unit 605 reads map image data as shown in FIG. 8A from the map information storage unit 608. Such map image data is added with network information including polygon data regarding the shape and position of a traffic network such as a road or a railway (FIG. 5C). In parallel with this, the output map generation unit 605 generates image data such that each area of the total area on the two-dimensional coordinates has pixel data corresponding to the population flow rate ω, as shown in FIG. 8B. To do. Such pixel data includes color information corresponding to the population flow rate ω in the total area, pixel values corresponding to the population flow rate ω (gray value), and patterns corresponding to the population flow rate ω. Can be superimposed on the total area. Then, the output map generation unit 605 generates and outputs superimposed image data by superimposing the map image data on the image data derived from the population flow rate. Specifically, a portion having a shape corresponding to the traffic network in the map image data shown in FIG. 8A is cut out from the image data as shown in FIG. 8B, and the image data of the cut-out portion is obtained. Overlay the map image data (FIG. 9).

  It should be noted that the example of the data configuration of the additional branch number information shown in FIG. 4 may be stored in association with the time zone (movement time zone) at which the handover is performed. For example, the first sector ID, the second sector ID, and the number of branch additions may be stored in association with each other in a time zone (for example, 0: 0 to 1:00:00). The inter-sector flow rate calculation unit 602, the sector information combining unit 603, and the information totaling unit 604, when a time zone is specified based on an instruction from the operator of the information analysis apparatus 600, the population for each specified time zone. Operates to aggregate flow. Thereby, the population flow rate in a time zone can be grasped.

  In addition, the information analysis apparatus 600 further includes a storage unit that stores attribute information (gender, age, address, etc.) that indicates a user attribute (not shown), or access that accesses a server that stores such information. A means may be further provided to collect information for each attribute. That is, for each attribute, the inter-sector flow rate calculation unit 602 calculates the number of branch additions, and the sector information combination unit 603 and the information collection unit 604 use the number of branch additions distinguished for each attribute to The population flow rate can be calculated.

  Next, the operation of the information analysis device 600 will be described with reference to FIG. 10, and the population flow information generation method in the information analysis device 600 will be described in detail. FIG. 10 is a flowchart showing an operation when the information analysis apparatus 600 generates population flow information.

  First, the additional number information receiving unit 601 of the information analysis apparatus 600 receives branch additional number information from the RNC 300 at a predetermined timing (for example, at an interval of one hour) and stores it in the additional number information storage unit 606 (step S101). Then, the inter-sector flow rate calculation unit 602 calculates a bidirectional population flow rate between sectors based on the branch addition number information stored in the additional number information storage unit 606 (step S102). Next, the sector information combining unit 603 combines the sector attribute information with the data including the number of added branches output from the inter-sector flow rate calculating unit 602 (step S103).

  Thereafter, the information totaling unit 604 aggregates the number of branch additions for each predetermined totaling area for the data including the number of branch additions output from the sector information combining unit 603, and generates population flow data (step S104). The output map generation unit 605 converts the population flow rate data for each total area into a predetermined data format such as a map data format (step S105). Finally, the converted population flow rate data is output from the output map generation unit 605 and stored in the output data storage unit 609 (step S106).

  According to the information analysis apparatus 600 and the population flow information generation method described above, a branch addition report related to a branch added at the time of handover is received from the RNC 300 that controls a plurality of BTSs 200 to which the mobile device 100 is wirelessly connected. The number of additional branches is stored for each combination of the source sector identification information and the destination sector identification information included in the additional report, and the number of additional branch combinations corresponding to the total area for each predetermined total area Are added, and the added number of branches added is converted into population flow information in a predetermined data format and output. As described above, by outputting the population flow information using the branch addition report, the movement information regarding the users of the plurality of mobile devices 100 can be efficiently generated without adding complicated processing. Furthermore, by counting the number of user movements for each predetermined aggregation area, it is possible to easily grasp the movement tendency of the entire user of the mobile device 100 regardless of the sector configuration formed by the BTS 200. In other words, the shape and number of sectors can vary between regions depending on the configuration of the communication network, but even in such a case, the tendency of population flow can be grasped equally for the entire area of the communication network.

  Since the output map generation unit 605 superimposes population flow information on a predetermined map image and outputs it as superimposed image data, it can more easily grasp the movement tendency of the entire user of the mobile device 100.

  Further, the information totaling unit 604 calculates a radius according to the number of sectors included in a predetermined distance from the center of the total area, and calculates the number of branches added for combinations of sectors included in the radius range from the total area. By tallying, the sectors to be tallyed in the tally area can be adjusted according to the number of sectors near the tally area. As a result, it is possible to accurately reflect the movement tendency of users between sectors in the population flow information even when the shape and arrangement of the sectors are various.

  In this embodiment, the population flow rate is calculated based on the number of additional branches at the time of handover, but the present invention is not limited to this. As long as the number of movements between sectors can be calculated, the present invention is not limited to the above processing method. For example, like the mobile communication system 10a shown in FIG. 13, history information indicating the history of the location information of the mobile device 100 is stored, and the number of movements between sectors is calculated based on the history information. Also good. Hereinafter, the configuration will be specifically described with reference to FIG.

  FIG. 13 is a schematic configuration diagram of a mobile communication system 10a according to a modification of the present embodiment. It differs from the mobile communication system 10 shown in FIG. 1 in that it is not configured to acquire the number of branch additions. That is, the RNC 300 includes the receiving unit 301 and the position information transmitting unit 303a, and does not include the totaling unit 302 and the additional number information transmitting unit 303. Further, the information analysis apparatus 600 includes a position information receiving unit 601a and a position information storing unit 606a instead of the additional number information receiving unit 601 and the additional number information storing unit 606.

  In the mobile communication system 10a and the information analysis apparatus 600 configured as described above, the following processing is performed. First, when a transmission request or a location registration request is output from the motive 100, the RNC 200 acquires a sector identifier (sector ID) indicating the location of the mobile device 100 from the base station 200 in accordance with the request. The receiving unit 301 and the location information transmitting unit 303a in the RNC 300 receive the sector identifier of the sector where the mobile device 100 is located from the base station 200, and transmit the sector identifier together with the identification information of the mobile device 100 to the information analysis apparatus 600. In the information analysis apparatus 600, the identification information of the mobile device 100 and the sector identifier are stored in association with each other. Here, the location information storage unit 606a stores the identifier of the mobile device 100 in association with the sector identifier. In addition, when acquiring approximate position information calculated by using a delay value of transmission / reception of a predetermined signal from the so-called RNC 200 to the mobile device 100, the approximate position information may be further stored.

  That is, the location information receiving unit 601a of the information analysis device 600a receives the sector identifier and the approximate location information, time information and identification information transmitted via the RNC 300, and the location information storage unit 606a receives the received sector identifier, The approximate position information, time information, and identification information are stored. Specifically, as shown in FIG. 14, the position information storage unit 606a stores time information, approximate position information, and a sector identifier for each identification information. In FIG. 14, the user a specified by the identification information is at a position indicated by the coordinates of the position information (X1, Y1) at time 0:00, and the position is in the sector having the sector identifier xxx. I understand. The approximate position information may not be present.

  The information analysis device 600a receives and stores the approximate position information, sector identifier, time information, and identification information from each mobile device 100 in a predetermined period (for example, one day), and stores it in the predetermined period (one day). The position of each mobile device 100 can be grasped.

  Then, the inter-sector flow rate calculation unit 602 derives inter-sector movement information including the source sector ID and the destination sector ID based on the sector identifier stored in the position information storage unit 606a. When the inter-sector flow rate calculation unit 602 derives the inter-sector movement information in each mobile device 100, the inter-sector flow rate calculation unit 602 counts the number of movements between sectors by counting the combinations of sector IDs included in the inter-sector movement information. calculate. For example, user a has inter-sector movement information including From sector ID: xxx, To sector ID: yyyy, and user b has inter-sector movement information including From sector ID: xxx, To sector ID: yyyy. If there is, the number of movements can be counted as 2 because the From sector and To sector are the same. In addition, here, for convenience of explanation, it is described that it is aggregated for each user and aggregated. However, the number of movements is not limited to this, and when one user makes a round trip many times, Is counted. In addition, when the same one user reciprocates many times and the number of movements is counted, it can also be distributed by dividing by the number of times. For example, when four movements (trajectories) can be grasped from a user during a certain period (from 0:00 to 1:00 on day x month y), a weight of ¼ = 0.25 for each movement. There is a method of distributing.

  By repeating such processing, the inter-sector flow rate calculation unit 602 can calculate and store the From area, the To area, and the number of movements for each time zone, as shown in FIG. . FIG. 15 corresponds to FIG. 3 and FIG. 4 in the present embodiment, and the population flow rate between sectors can be grasped based on the number of movements.

  The subsequent processing is performed in the same manner as in the first embodiment. That is, the sector information combining unit 603 combines sector attribute information using the movement number information between sectors, and the information totaling unit 604 uses the information combined with the sector attribute information to move the number of movements for each total area. Can be used to calculate the population flow rate.

  The above-described method is a method using a sector identifier obtained by location registration processing or the like. However, the method is not limited to this, and location information such as GPS is acquired from the mobile device 100 to move between areas. There is also a way to figure it out. For example, the sector identifier can be grasped from position information that is coordinates obtained by GPS or the like by the following processing.

  First, the mobile device 100 measures its position periodically or irregularly, and uses the RNC 300 to identify the location information, the time information as the positioning time, and the identification information for identifying the mobile device 100. To the information analysis apparatus 600a. In the mobile device 100, the position information may be transmitted at a predetermined cycle, or the position information may be transmitted based on an operation by the user.

  The location information transmission unit 303a in the RNC 300 transmits the location information to the information analysis device 600. The position information receiving unit 601a in the information analysis apparatus 600 receives the position information, and the position information storage unit 606a stores the position information together with the time information that is the positioning time. In the position information storage unit 606a, when there is an item of sector identifier, the item is blank.

  Next, the inter-sector flow rate calculation unit 602 can calculate the inter-sector flow rate during a predetermined period based on the position information stored in the position information storage unit 606. Here, the sector information stored in the sector information storage unit 607 and the position information of each mobile device 100 stored in the location information storage unit 606a are referred to, so that the sectors in one mobile device 100 are straddled. The inter-sector movement information that is a pair of the sector when it is moved in step (b) is derived. That is, the inter-sector movement information including the source sector ID and the destination sector ID is derived. In the sector information, the center coordinates of the sector and the arrangement coordinates of the base station are described. Based on these coordinates, the area of the sector can be grasped, and thus the movement between sectors can be grasped. A method of acquiring position information by GPS and a method of acquiring a sector identifier by position registration may be used in combination.

  Further, in the above description, the number of movements between sectors is obtained, but the number of movements between mesh regions forming a predetermined aggregation area may be obtained. In this case, the inter-sector flow rate calculation unit 602 is based on the position information stored in the position information storage unit 606a and the total area setting information stored in the map information storage unit 608 (see FIG. 5B). The movement information between the total areas when the total areas are crossed is derived. This total area movement information includes the From mesh ID and the To mesh ID. Thereafter, the number of movements between the total areas can be calculated by counting the number of matching mesh ID combinations included in the total area movement information.

In addition, depending on the positioning timing of the above-described position information, there is a case where the sector moves greatly across the sector. For example, there is a case where a sector adjacent to one sector that is a movement source can be skipped and a further adjacent sector can be recognized as a movement destination sector, but this is not a problem in grasping the population flow rate.

[Second Embodiment]
In addition, this invention is not limited to embodiment mentioned above. For example, the method of selecting the combination of sectors to be aggregated for each aggregation area of the information aggregation unit 604 can take various modifications. Note that the entire mobile communication system 10 and the information analysis device 600 (or the information analysis device 600a) are configured in the same manner as in the first embodiment.

Specifically, the information totaling unit 604 forms a circle having a radius corresponding to the inter-sector distance centered at the midpoint between the two sector center positions, and sets the overlap area with the circle for each total area. Correspondingly, the number of branch additions may be distributed and aggregated. With reference to FIGS. 11-12, the function of the information totaling part 604 in this case is demonstrated in detail. As shown in FIG. 11, the information aggregating unit 604 (defining unit) is based on the center coordinates S ₁ , S ₂ , S ₃ ,... Centered on the coordinates of the midpoints CS ₁₂ , CS ₂₃ ,..., Values f (V ₁₂ ), f (V ₂₃ ) obtained by numerically converting the corresponding two sector distances V ₁₂ , V ₂₃ ,. ,... Are defined as circles C ₁₂ , C ₂₃ ,. As such a function f (k), a function that converts the numerical value k into a value proportional to k is applied. As a result, population flow information suitable for both a place where the sector interval is dense and a place where the sector interval is coarse is obtained. The obtained population flow information is synthesized on the map in the output map generation unit 605 functioning as an output unit, and the population flow rate can be visually grasped.

Turning to FIG. 12, the information aggregation unit 604, when calculating the population flow aggregate area _{M 1} is overlapped area _D 12 of the circle _{C 12, C 23} identified, ... and aggregate area _{M 1, D 23} , ... are calculated. Then, the information totaling unit 604 adds a branch addition number I _ij (i, j is a natural number where i <j) corresponding to a combination of two sectors, an overlap area D _ij, and a circle C corresponding to the combination of sectors. _Using the area A _{ij of ij} , the population flow rate ω corresponding to the total area M ₁ is expressed by the following equation (1);
ω = Σ (α _{n, ij} × I _ij × D / A _ij ) (1)
Calculate by Incidentally, alpha _{n, ij} denotes an aggregate area _{M n,} the area ratio of the overlapping portion between the circle _{C ij} and aggregate area _{M n.} The area D is an area of the total area and is a fixed value. In addition, in a modification described later, since there is no concept of the number of branch additions, I _ij is handled as the number of movements between sectors (or between meshes) instead of the number of branch additions I _ij .

  In this case, since the number of movements of the mobile device 100 between sectors can be allocated to the total area corresponding to the sector range, it is possible to accurately reflect the movement tendency of users between sectors in the population flow information. it can.

In the example of FIG. 12, overlapping areas _{M 12} and the circle _{C 12} and aggregate area _{M 1} is a region overlap, only the circle _{to C 12} (excluding the circle _{C 23} is) is affected population flow Since the overlap area M ₂₃ , which is an area where the circle C ₂₃ and the total area M ₁ overlap, overlaps with the circle C ₁₂ and is influenced by it, both are affected by the population flow rate. Yes. As described above, a portion where the circle C ₁₂ and the circle C ₂₃ completely overlap (for example, the total area M ₂₀ ), and a portion divided by the boundary line between the circle C ₁₂ and the circle C ₂₃ (for example, the overlapping area M). ₁₂ , the overlapping area M ₂₃ ), and the portion overlapping only with the circle C ₁₂ (for example, the total area M ₁₀ ), the population flow rate is calculated by the above formula (1).

That is, since aggregate area _{M 10} is, you are under the influence of population flow only from the circle _{C 12,}
ω ₁₂ = α _10,12 × I ₁₂ × D / A ₁₂ (2)
Thus, the population flow rate ω ₁₂ is calculated. Α _{10 and 12} are 1.

In addition, the total area M ₂₀ is similarly influenced by the circle C ₁₂ and the circle C ₂₃ .
ω ₂₃ = α _20,23 × I ₂₃ × D / A ₂₃ + α _20,12 × I ₁₂ × D / A ₁₂ (3)
Population flow rate ω ₂₃ is calculated by. In this case, α _20,23 and α _20,12 are 1.
In addition, aggregate area _{M 1} is,
ω = α _1,23 × I ₂₃ × D / A ₂₃ + α _{1, 12} × I ₁₂ × D / A ₁₂ (4)
Is used to calculate the population flow rate ω. In this case, alpha _{1, 12} is 1, alpha _{1, 23} is the area D of the aggregate area _{M 1} is a numerical value obtained by dividing by _{D 23.} Area _{D 23} can be obtained from the positional relationship and size of the circle _{C 23} between the circle _{C 23} and aggregate area _{M 1.}

  In this way, the population flow rate ω can be calculated for each aggregation area. Note that the following modifications are also naturally conceivable matters. That is, in the second embodiment, the branch addition information and the number of branch additions in the first embodiment are used, but the position of each mobile device 100 is the same as in the modification in the first embodiment. Inter-sector movement information may be acquired from the transition of information, and the population flow rate may be calculated based on the inter-sector movement information. Moreover, you may make it calculate population flow based on the movement information between mesh areas described in the modification of 1st embodiment. When using the movement information between mesh areas, the center coordinates of the mesh area are calculated instead of the center coordinates of the sector, and the circle C calculated based on the center coordinates is applied to the above equation (1). .

Next, the function and effect of the second embodiment will be described. In the second embodiment, in the information analysis device 600 or the information analysis device 600a, the information collection unit 603 operates as a defining unit, and based on the movement distance between sectors, one expected movement range of the user A circle (for example, circle C ₁₂ ) is defined. The information collecting unit 604, a circle C ₁₂ is defined movement range, is included in the circle C ₁₂ is the range of movement of the one, the area ratio of the aggregate area M ₁₀ one that is predetermined ( Based on D ₁₂ / A ₁₂ ) and the number of movements I ₁₂ between sectors, the population flow rate in the one total area M ₁₀ is calculated.

Furthermore, when calculating the population flow to aggregate area _{M 20,} the information collecting unit 603, based on the moving distance between the other sectors (e.g., between positions _{S 2} and _{S 3) (f (v 2} )) defines a circle C ₂₃ is the predicted other mobile range of the user. Then, the information collection unit 603, in addition to the population flow in aggregate area M ₂₀ calculated based on the circle ₁₂ in the manner described above, the other one contained in the circle C ₂₃ is the range of movement of the aggregate area M ₂₀ , based on the formed circle C ₂₃ , which is another movement range, and the number of movements I ₂₃ of the mobile device moving between other sectors, the circle C ₁₂ and the circle C ₂₃ in the one total area M ₂₀ are Calculate the population flow taking into account. Thereby, it is possible to grasp the population flow rate in a distributed manner according to the movement range of the user, and to properly grasp the population flow rate.

Furthermore, aggregate area for aggregate areas as being divided by a circle C ₁₂ and circle C ₂₃ as in the aggregation area M _1, the information collecting unit 603, which are all included in the circle C ₁₂ is the moving range of M _1, the overlapping portion _{M 23} in aggregate area _{M 1} one that partially overlaps with the circle _{C 23} is the other moving range, and the overlapping portion _{M 23} and the circle _{C 23} is the other of the moving range Based on the area ratio (α _1,23 × D / A ₂₃ = D ₂₃ / A ₂₃ ) and the number of movements I ₂₃ between other sectors, the population in the overlapping portion M ₂₃ of one total area M ₁ Calculate the flow rate. Then, in the circle and summed with the calculated population flow against C _12, aggregate area M ₁ one considering the movement number I ₂₃ between other sectors is one movement range in an aggregate area M ₁ Population flow can be calculated. Thereby, it is possible to grasp the population flow rate in a distributed manner according to the movement range of the user, and to properly grasp the population flow rate.

In the second embodiment, as described in the first embodiment, the position information and the movement transition for each attribute may be derived to calculate the flow rate for each attribute. Alternatively, position information and movement transitions for each time zone may be derived to calculate the population flow rate for each time zone.

[Third embodiment]
Next, a third embodiment will be described. The population flow rate calculation method in the third embodiment is the same calculation method as in the second embodiment, but the input value is the center coordinate of the sector in the second embodiment. The circle C is obtained by use, but in the third embodiment, the circle C is obtained by using the position information of the mobile device 100. Note that the configurations of the entire mobile communication system 10 and the information analysis apparatus 600 are as described in the first embodiment. Hereinafter, the characteristic part in 3rd embodiment is demonstrated.

  As illustrated in FIG. 13, the position information storage unit 606 a stores position information, time information, and identification information transmitted from the mobile device 100. FIG. 16 is an explanatory diagram showing the position information stored in the position information storage unit 606a. As shown in FIG. 16, the positioning time and its position information are stored for each user (for each identification information). Then, the inter-sector flow rate calculation unit 602 derives the movement transition from the position information determined for each identification information. FIG. 17 shows a movement transition table indicating the movement transition state derived by the inter-sector flow rate calculation unit 602. This movement transition table is stored in the inter-sector flow rate calculation unit 602. As shown in FIG. 17, this movement transition table shows the movement transition state for each identification information and time zone, and shows movement source coordinates (From latitude, From longitude) indicating the movement source and movement destination. The previous coordinates (To latitude and From latitude) are stored in association with each other.

  The population flow rate can be calculated using the information stored in the movement transition table. Specific examples thereof will be described below. FIG. 18 is an explanatory diagram illustrating a method for calculating the population flow rate in the information collection unit 604 according to the third embodiment.

As shown in FIG. 18A, the positions S ₁ , S ₂ and S _{3 of} the user u are shown. As is clear from the movement transition table shown in FIG. 17, the user u moves in the order of positions S ₁ , S ₂ , S ₃ . Here, the information collecting unit 604 obtains and From coordinates indicated by the position _{S 1,} the midpoint _{V 12} and To coordinates indicated by the position _{S 2.} Further, based on the following movement transition state, obtains and From coordinates indicated by the position _{S 2,} the middle point _{V 23} and To coordinates indicated by the position _{S 3.} Then, the information collection unit 604 forms a circle _{C u, 12} and the circle _{C u, 23} centered on these midpoints _{V 12} and midpoint _{V 23.} The radii of the circles C _{u, 12} and C _{u, 23} are adjusted by the average positioning error of the positioning method, and the user u is generally moved from the position S ₁ to the position S ₂ and from the position S ₂ to the position S. ₃ shows the movable range when moving to ₃ . The radius of this circle, it is preferable to those generally proportional to the distance between the position S ₁ and the position S _2.

  Then, the population flow rate is calculated for each aggregate area that is a mesh region. In the third embodiment, the information collection unit 604 forms a circle C for each record (one line) shown in FIG. 17, and each of the total areas included in the circle C On the other hand, the area ratio between the area D of the total area and the area A of the circle C is calculated. Then, cumulative addition of the area ratios for all users is performed for one total area. Thereby, it is intended to calculate the population flow rate for each aggregation area which is a mesh region. That is, a circle C is formed for each user and for each user's movement transition, and one total area is affected by a number of circles C. Therefore, based on the circle C calculated for each user u and for each user's movement transition (movement source and movement destination), an area ratio (flow rate index) with one aggregation area is calculated, and this is cumulatively added. By doing so, the population flow rate can be calculated.

FIG. 18B shows a state in which the tabulation areas are superimposed on the circles _{Cu, 12} , and here, the circles _{Cu, 12} and the circles _{Cu, 23} in one record are shown. Hereinafter, a calculation method for calculating the population flow rate by applying the circles _{Cu, 12} and the circles _{Cu, 23} shown in FIG. 18B to the equation (5) will be described. 18B is represented by two circles for convenience, circles are formed and overlapped for each user.
Population flow rate ω _Mnm = Σ _{i = 1, j = 1} (Σ _{u = 1} (α _{u, nm, ij} × D _nm / A _{u, ij} )) (5)
Here, i and j indicate a movement source and a movement destination, n and m indicate a total area, and u indicates a user. D _nm represents the area of the total area M _nm , and A _{u, ij} represents the area of the circles _{Cu, ij} formed when the user u moves from the position i to the position j. The coefficients α _{u, nm, and ij} are values obtained by dividing a portion where the total area M _nm and the circles _{Cu, ij} overlap each other by the area D _nm of the total area M _mn . Note that the area D _nm is substantially a fixed value because the total area M _nm is the same area.

According to this equation (5), the population flow rate ω _Mnm is first _determined by the area A _{u, ij of the} circle C in all users who can form a circle C including the position for each aggregate area M _nm which is one mesh region. Is cumulatively added to the total area M _nm divided by the area D _nm . Furthermore, when it is included in another circle C, the cumulative addition is performed in consideration of the case where the other circle C is included.

For example, the specific example of FIG.18 (b) is shown typically. As shown in FIG. 18B, a total area M _{nm serving} as a mesh region is formed throughout. In the figure, an area group of some aggregate areas is expressed for convenience. Here, the total area M ₃₅ is one total area included in the circles _{Cu, 12} . Applying equation (5) here,
Population flow rate _{ω M35 = α 1,35,12 × D 35} / A 1,12 + α 2,35,12 × D 35 / A 2,12 + α 3,35,12 × D 35 / A 3,12 ··· α _{x, 35 , 12} × D ₃₅ / A _{x, 12} (6)
Is used to calculate the population flow rate ω. It is assumed that the user u is 1 to x.

Here, since the total area M ₃₅ is included only in the circles _{Cu, 12} , the other circles C are not cumulatively added. Therefore, the above α _{u, nm, and ij} are treated as 1. Since the movement source and the movement destination are different for each user, the circle C formed based on the movement source and the movement destination is also different. Here, the population flow rate is to be calculated by cumulatively adding the area ratio (flow rate index) to the same total area included in the circle C formed when different users move.

On the other hand, looking at the total area M87, it is included in the circles _{Cu, 12} and the circles _{Cu, 23} . Considering this and applying it to equation (5),
Population flow rate _{ω M87 = (α 1,87,12 × D} 87 / A 1,12 + α 2,87,12 × D 87 / A 2,12 + α 3,87,12 × D 87 / A 3,12 ·· _{.Alpha.x, 87 , 12} × _D87 / _{Ax , 12} )
+ (Α _1,87,23 × D ₈₇ / A _1,23 + α _2,87,23 × D ₈₇ / A _2,23 + α _3,87,23 × D ₈₇ / A _3,23 ... Α _{x, 87,23 × D 87 / A x,} 23) ... (7)
Is used to calculate the population flow rate ω. Here, A _{u and ij} indicate areas of circles C _{u and ij} formed by the position S _i that is the movement source and the position S _j that is the movement destination in the user u. Further, α _{u, nm, and ij} are treated as 1.

In FIG. 18B, for the sake of convenience, the movement of the user has been described with respect to three points. However, in practice, a plurality of users u (1 to x) are appropriately moved to a large number of positions, and a plurality of circles for each user _{Cu, ij} will be formed.

  Next, the effects of the information analysis apparatus 600a of the third embodiment will be described. The position information receiving unit 601a acquires the position information of the mobile device 100 over time. The inter-sector flow rate calculation unit 602 generates a movement transition table (FIG. 17) indicating the movement transition based on the acquired position information, and the sector information combination unit 603 combines the sector information with the generated movement transition table. To do.

The information collection unit 604 defines the circles _{Cu, 12} that are expected movement ranges of the user based on the movement source position and the movement destination position of the user u according to the generated movement transition table (FIG. 17). . In addition, the information collection unit 604 shows a flow rate indicating an area ratio (D ₃₅ / A _{u, 12} ) between the circles _{Cu, 12} that are expected movement ranges of the specified user and the predetermined total area M _35. An index is calculated, and the flow rate index is cumulatively added to all users for each aggregate area, thereby calculating the population flow rate for each aggregate area. For example, if the user had x person each circle C _{u, 12} formed by the movement by the user, if that contained the aggregate area M _35, the cumulative flow index of the user x of persons to add. Thereby, population flow volume can be grasped | ascertained only from the transition of a user's positional information.

Further, the information collecting unit 604 forms a circle _{C u, 12} centered on the midpoint _{V 12} between the two points indicated by the location information of the mobile device 100. Information collection unit 604, the aggregate area M ₃₅ contained in the circle C _{u, 12,} calculates a flow index indicating the area ratio between the circle C _{u, 12} formed, a flow index of all users min Population flow is calculated by cumulative addition. Thereby, a circle according to the moving distance of the user can be formed, and the population flow rate can be dispersed to be appropriate.

In addition, the information collection unit 604 further defines circles _{Cu, 23} that are other movement ranges expected by the user u based on the movement transition of the position information acquired by the position information reception unit 601a. Then, the information collection unit 604 adds to each counting area (for example, the counting area M ₈₇ ) included in the overlapping portion of the circles _{Cu, 12} that are the movement ranges and the circles _{Cu, 23} that are the other movement ranges. On the other hand, by adding the population flow rate in _{Cu, 12} that is the formed movement range and the population flow rate in the circles _{Cu, 23} that are other movement ranges, the population flow rate in each of the total areas is calculated. calculate. Thereby, population flow volume can be grasped | ascertained only from the transition of a user's positional information.

In addition, the information collection unit 604 partially overlaps with one total area M ₆₇ and the other circles _{Cu, 23} among the total areas included in the circle _{Cu, 12} as the movement range. For the overlapping area M _67b , a flow rate index consisting of the area ratio between the overlapping area M ₆₇ and the circles _{Cu and 23,} which are other moving ranges, is calculated and added to the flow index in one total area M ₆₇ To calculate the population flow rate. Even when the total area is divided by the movement range, a more appropriate population flow rate can be calculated from the area ratio.

For example, in FIG. 18B, the total area M67 includes all the areas in the circles _{Cu and 12} , while the circle _{Cu and 23} includes some overlapping areas. Only the area M _67b is included, and the area M _67a is not included in the circle _{Cu, 23} . In such a thing, when the above-mentioned formula (5) is applied, it becomes as follows.
Population flow rate _{ω M67 = (α 1,67,12 × D} 67 / A 1,12 + α 2,67,12 × D 67 / A 2,12 + α 3,67,12 × D 67 / A 3,12 ·· _{.Alpha.x, 67 , 12 x D67} / _{Ax , 12} )
+ (Α _1,67,23 × D ₆₇ / A _1,23 + α _2,67,23 × D ₆₇ / A _2,23 + α _{3,67, 23} × D ₆₇ / A _3,23 ... Α _{x, 67,23 × D 67 / A x,} 23) ... (8)

In this case, α ₁ , ₆₇ , ₁₂ , etc. are all included in the circle C ₁ , ₁₂ , but are treated as 1, but α 1, ₆₇ , _23, etc. overlap with part of the circle C _1,12. If so, the area ratio is substituted. In this way, weighting by area ratio is performed, and a more appropriate population flow rate can be grasped.

  In the third embodiment, as described in the first embodiment, the position information and the movement transition for each attribute may be derived to calculate the flow rate for each attribute. Alternatively, position information and movement transitions for each time zone may be derived to calculate the population flow rate for each time zone. The population flow rate obtained in this way is synthesized on the map in the output map generation unit 605 functioning as an output unit, and the population flow rate can be visually grasped.

  DESCRIPTION OF SYMBOLS 10 ... Mobile communication system, 100 ... Mobile station, 200 ... BTS (base station), 300 ... RNC (radio network control apparatus), 600 ... Information analysis apparatus, 601 ... Additional number information receiving part, 604 ... Information totaling part, 605 ... output map generation part (output part).

Claims (15)

A population flow information generation system capable of receiving information from a wireless network control device that controls a plurality of base stations wirelessly connected to the mobile device corresponding to a sector where the mobile device is located,
A receiving unit that receives a branch addition report including sector identification information of a movement source and sector identification information of a movement destination related to a branch added at the time of handover of the mobile device from the radio network control device;
Based on the branch addition report, for each combination of the move source sector identification information and the move destination sector identification information, a storage unit that stores the number of additions of the branch;
For each of a plurality of aggregation areas set in advance in two-dimensional coordinates, for the combination corresponding to each of the aggregation areas, the aggregation unit that aggregates the additional number of branches stored by the storage unit;
An output unit that converts the additional number of branches counted for each of the plurality of count areas into a predetermined output format and outputs the information as population flow information.
The aggregation unit calculates a radius according to the number of sectors included in a predetermined distance from the center of the aggregation area, and adds the number of branches to the combination included in the radius range from the aggregation area. Aggregating,
Population flow information generation system characterized by this. The output unit, the population flow information generating system according to claim 1, wherein said population flow information superimposed on the predetermined map image is output as superimposed image data, characterized in that. A counting unit that counts the number of movements of mobile devices that move between predetermined areas;
Based on the number of movements tabulated by the tabulation unit, a calculation unit that calculates the population flow rate for each tabulation area;
An output unit that converts the population flow rate for each total area calculated by the calculation unit into a predetermined output format and outputs it as population flow information;
Based on the movement distance between the areas to be counted in the counting unit, a defining unit that defines one movement range expected by the user;
With
The calculation unit includes:
The area ratio between the movement range defined by the defining unit and the one aggregation area that is included in the one movement range and is determined in advance, and the number of movements between the areas targeted for aggregation by the aggregation unit A population flow information generating system , wherein the population flow rate in the one total area is calculated based on the above . An acquisition unit for acquiring position information of each mobile device;
A storage unit for storing the position information acquired by the acquisition unit,
4. The population flow information according to claim 3 , wherein the totaling unit totals the number of movements of mobile devices between sectors predetermined as between areas based on position information stored in the storage unit. 5. Generation system. A receiving unit for receiving a branch addition report including the source sector identification information and the destination sector identification information related to the branch added at the time of handover;
4. The population flow generation system according to claim 3 , wherein the counting unit counts the number of branch additions as the number of movements based on the branch addition report received by the receiving unit for each counting area. An acquisition unit for acquiring position information of each mobile device;
A storage unit for storing the position information acquired by the acquisition unit,
4. The population flow according to claim 3 , wherein the totaling unit totals the number of movements of the mobile devices between the totaling areas determined in advance as between the areas based on the position information stored in the storage unit. Information generation system. The defining unit further defines other expected movement range of the user based on the moving distance between other areas,
The calculation unit includes:
In addition to the area ratio and the number of movements between the areas,
Based on the one total area included in the other movement range, the formed other movement range, and the number of movements of mobile devices moving between the other sectors, the population in the one total area The population flow rate information generation system according to claim 3 , wherein the flow rate is calculated. The calculation unit includes:
Among the total areas included in the moving range, for the overlapping portion in one total area that partially overlaps with the other moving range, the area ratio between the overlapping portion and the other moving range, and Based on the number of movements between the other sectors, calculate the population flow rate in the overlapping portion of the one aggregation area, and add the population flow rate calculated for one movement range in the one aggregation area. The population flow rate information generation system according to claim 7 , wherein population flow rate in one count area considering the number of movements between other sectors is calculated. A communication unit that allows access to an attribute storage unit that stores user attribute information;
The population flow generation according to any one of claims 3 to 8 , wherein the counting unit counts the number of movements for each attribute indicated by the attribute information of the user stored in the attribute storage unit. system. The acquisition unit also acquires time information indicating the time at which the position is located together with the position information,
The storage unit stores the position information and time information acquired by the acquisition unit in association with each other,
The population flow generation system according to any one of claims 3 to 9 , wherein the tabulation unit tabulates the number of movements included in the time zone indicated in the time information. An acquisition unit for acquiring location information of the mobile device together with time information;
Based on the movement transition of the position information acquired by the acquisition unit, a defining unit that defines the expected movement range of the user;
Calculating a flow index indicating an area ratio between a user's expected movement range defined in the defining unit and a predetermined total area, and cumulatively adding the flow index for all users in a total area unit; In the calculation unit for calculating the population flow rate for each total area,
A population flow rate information generation system comprising: The defining part is:
Form a circle centered at the midpoint between the two points indicated by the location information of the mobile device,
The calculation unit calculates a flow index indicating an area ratio between a total area included in the circle and the formed circle, and calculates population flow by cumulatively adding the flow index for all users. The population flow rate information generation system according to claim 11 . The defining part is:
Furthermore, based on the movement transition of the position information acquired by the acquisition unit, the other movement range expected by the user is defined,
The calculation unit includes:
For each aggregate area included in the overlapping part of the moving range and the other moving range, add the population flow rate in the formed moving range and the population flow rate in the other moving range. The population flow rate information generation system according to claim 11 or 12 , wherein population flow rate in each of the total areas is calculated. The calculation unit includes:
Among the total areas included in the moving range, for the overlapping area that partially overlaps with one total area and the other moving range, from the area ratio of the overlapping area and the other moving range The population flow rate information generation system according to claim 13 , wherein a population flow rate is calculated by calculating a flow rate index and adding the flow rate index to the flow index in the one total area. A population flow information generation method for receiving population information and generating population flow information from a radio network controller that controls a plurality of base stations wirelessly connected to the mobile station corresponding to a sector where the mobile station is located. And
A receiving step in which the population flow information generation system receives a branch addition report including a movement source sector identification information and a movement destination sector identification information related to a branch added at the time of handover of the mobile device from the radio network control device; ,
The population flow information generating system stores a number of additions of the branch for each combination of the movement source sector identification information and the movement destination sector identification information based on the branch addition report;
The population flow information generation system totalizes the additional number of the branches stored in the storage step for each of the plurality of total areas preset in two-dimensional coordinates for the combination corresponding to each of the total areas. An aggregation step;
The population flow information generation system includes an output step of converting the added number of the branches counted for each of the plurality of count areas into a predetermined output format and outputting the information as population flow information.
In the counting step, a radius is calculated according to the number of sectors included in a predetermined distance from the center of the counting area, and the number of branches added for the combination included in the radius range from the counting area. Aggregating,
A method for generating population flow information.

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