JP2013210969A - Information processing system and information processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing system and an information processing method capable of generating person trip information from an action history based on position information.SOLUTION: The information processing system of the invention comprises: a database 140 for storing position history information 141 including position information indicating a position of a portable terminal 200 and time information indicating time relevant to the position information; data extracting means 117 for extracting an action history of a user having the portable terminal 200 on the basis of the position history information 141 stored in the database 140; and outputting means 119 for outputting information on the action history of the user on the basis of the extracted result.

Description

  Some embodiments according to the present invention relate to an information processing system and an information processing method.

  In recent years, person trip surveys have been conducted to examine human movements and to understand and analyze the actual conditions of transportation. Conventionally, in the person trip survey, the survey subject enters the daily movement status on the survey form. For example, what time, what time, what time, what time, where, where, what time, what time, what time, where, where, and where, by what means of transportation, are entered in the survey form. After that, the survey forms are collected and analyzed such as who moved from where to where and for what purpose and means of transportation.

JP 2005-115557 A

  By the way, in recent years, portable terminals having a function of acquiring position information from a GPS (Global Positioning System), for example, have become widespread. Although it is expected that person trip information will be extracted using such a portable terminal, it is disclosed in Patent Document 1 to determine what kind of moving means the owner of the portable terminal has moved. Is only described.

  Some aspects of the present invention have been made in view of the above-described problems, and an object thereof is to provide an information processing system and an information processing method capable of generating person trip information from an action history based on position information. One.

  An information processing system according to the present invention includes: a database that stores position history information that includes position information indicating a position of a mobile terminal; time information indicating time related to the position information; and position history information stored in the database. And a data extraction unit that extracts a history of the behavior of the user who owns the mobile terminal, and an output unit that outputs information related to the user's behavior history based on the extracted result.

  The information processing method of the present invention includes a step of storing position history information including position information indicating a position of a portable terminal and time information indicating time related to the position information in a database, and a position history stored in the database. A data extraction step for extracting a history of the behavior of the user who owns the mobile terminal based on the information; and an output step for outputting information on the behavior history of the user based on the extracted result.

  In the present invention, “part”, “means”, and “system” do not simply mean physical means, but the functions of the “part”, “means”, and “system” are realized by software. This includes cases where In addition, even if the functions of one “unit”, “means”, and “system” are realized by two or more physical means and devices, two or more “parts”, “means”, and “system” The function may be realized by one physical means or apparatus.

  According to the present invention, the user's action history is analyzed based on the position history information, and information related to the user's action history is output. Preferably, information on a person trip including “movement” or “stay” is extracted as the user action history. At this time, the extracted “movement” or “stay” location or time is not limited to the time calculated by the location or time information indicated by the location information included in the location history information.

It is a figure which shows the structure of the communication system containing the information processing server in embodiment of this invention. It is a figure for demonstrating the data extraction method of the information processing server shown in FIG. It is a figure which shows the function structure of the communication system containing the information processing server shown in FIG. It is a figure which shows the function structure of the software of the information processing server shown in FIG. It is a figure which shows an example of the positional history information of the information processing server shown in FIG. It is a figure which shows an example of the trip data produced by the information processing server shown in FIG. It is a flowchart which shows the flow of a process of the portable terminal contained in the communication system shown in FIG. It is a flowchart which shows the flow of a process of the information processing server shown in FIG. It is a figure for demonstrating an example of the grouping process of the information processing server shown in FIG. It is a figure for demonstrating the other example of the grouping process of the information processing server shown in FIG. It is a figure for demonstrating the other example of the grouping process of the information processing server shown in FIG. It is a figure for demonstrating the time adjustment process of the movement of an information processing server shown in FIG. 1, and a stay. It is a figure for demonstrating the duplication adjustment means of the information processing server shown in FIG. It is a figure for demonstrating the area extraction process of the information processing server shown in FIG.

Embodiments of the present invention will be described below. In the following description and the description of the drawings to be referred to, the same or similar components are denoted by the same or similar reference numerals.
(Embodiment)

  1 to 13 are diagrams for explaining an embodiment of the present invention. Hereinafter, the present embodiment will be described along the following flow with reference to these drawings. First, “1” indicates an outline of the whole embodiment. Then, “2” describes the overall system configuration, “3” describes the software configuration, and “4” describes the database configuration. In “5”, the flow of processing will be described. Finally, the effects according to the present embodiment and other embodiments will be described after “6”.

(1 Overview)
(1.1 System overview)
FIG. 1 is a diagram illustrating a schematic configuration of a communication system 1 including an information processing server 100 that is an information processing system. As illustrated in FIG. 1, the communication system 1 includes an information processing server 100 and a mobile terminal 200 (hereinafter, the mobile terminals 200A and 200B are collectively referred to as a mobile terminal 200). A solid line arrow in the figure represents movement of the mobile terminals 200A to 200B. The information processing server 100 and the mobile terminal 200 are each connected to the public network N.

  Here, in the communication system 1, the information processing server 100 receives the position information from the mobile terminal 200, creates trip data of the user who owns each mobile terminal 200 based on the history information of the position information, and reports R Is a system that outputs. Here, the trip data is information relating to the action history of the user who owns each mobile terminal 200, and is data including at least either information relating to the movement of the user or information relating to the stay.

  The portable terminal 200 is a portable information processing apparatus that can be carried by a user (not shown). Each portable terminal 200 can acquire position information intermittently, for example, by GPS (Global Positioning System) or the like, and can transmit the position information to the information processing server 100. Specific examples of the mobile terminal 200 include a mobile phone (whether it is a so-called smartphone or a feature phone), a tablet, a notebook PC (Personal Computer), a PDA (Personal Data Assistance), etc. However, it is not limited to these.

  Here, as an interval at which the mobile terminal 200 transmits the position information to the information processing server 100, for example, an interval of 5 minutes or an interval of 10 minutes can be considered, but the present invention is not limited to this. It does not matter whether the interval is regular or irregular.

  The information processing server 100 receives position information from the mobile terminal 200, creates trip data of the user who owns each mobile terminal 200 based on the history information of the position information, and outputs it as a report R. As a method for outputting the report R, for example, a form such as recording as electronic data in a storage medium, transmitting to another information processing apparatus by communication, printing, or displaying on a display apparatus can be considered.

  In the present embodiment, when creating trip data for a user, the information processing server 100 analyzes the location history information of the mobile terminal 200 owned by the user and stays in the user's behavior history at a certain place. It is divided into “stay” indicating that the user has moved from one place to another, and “moving” indicating that the user has moved from one place to another. This separation is performed by first determining “stay” and then determining “moving” between one stay and the next stay. Conversely, after determining “moving” first, It is possible to adopt a method for discriminating between stays as “stay”. The place of stay is not limited to one specific point, but includes a predetermined range area having a certain spread in a plane or space. In the present embodiment, the former method of first determining “stay” and then determining “movement” between stays will be described with reference to FIG.

(1.2 Overview of data extraction)
FIG. 2 is a diagram for explaining a data extraction method when the trip information of the user who owns the mobile terminal 200 is created by the information processing server 100. In the figure, “x” indicates a position where a certain mobile terminal 200 is positioned, and time indicates the time when positioning is performed.

  As shown in the figure, the information processing server 100 analyzes position history information about a certain mobile terminal 200 and forms a plurality of groups based on the position information and time information related thereto. Although details of the grouping process will be described later, as a general rule, when a plurality of pieces of positional information that are continuous in time are in a predetermined relationship, the pieces of positional information are grouped. FIG. 2 illustrates an embodiment in which four groups 21, 22, 23, and 24 are formed. For example, it is conceivable to group a plurality of pieces of position information that are continuous in time when areas of a predetermined shape including the position information overlap. In addition, it is conceivable to perform grouping based on the distance or speed between two points represented by two temporally continuous position information. Next, for each group that has been grouped, based on the positional information included in the group and, if necessary, the positional information before and after that, or the relationship with the previous and subsequent groups, the mobile terminal in the area corresponding to the group It is determined whether or not 200 is “staying”. As an example of the determination process, the stay time of the mobile terminal 200 is calculated for each group, and when it is larger than a predetermined threshold, it may be determined that the stay is a stay. For example, when the threshold is set to 15 minutes, when the difference in positioning time of position information belonging to a certain group is greater than 15 minutes, it is determined that the user has “stayed” in the area corresponding to the group. To do.

  In the example shown in FIG. 2, the difference in the positioning time of the position information belonging to the group 21 is 1 hour, which is larger than 15 minutes, so that it is determined as “stay”. On the other hand, since the difference in positioning time of the position information belonging to the group 22 is 10 minutes and 15 minutes or less, it is not determined to be “stay”. Similarly, since the difference in positioning time is 0, the group 23 is not determined to be “stay”. The group 24 is determined to be “stay” because the difference in positioning time is 1 hour 20 minutes. In this way, it is determined that the group 21 stays in the area A from 8:00 to 9:00 and the group 24 stays in the area B from 9:40 to 11:00. Thereafter, it is determined as “movement” between the two stays. That is, it is determined that the area “moved” from area A to area B from 9:00 to 9:40. Even if only one point of position information belongs to a group or the difference in positioning time of position information belonging to a group is less than or equal to a predetermined value, When it is estimated that the stay time of a group is equal to or greater than a predetermined value, the group may be determined as “stay”.

(2 System configuration)
Hereinafter, the functional configuration of the communication system 1 according to the present embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a functional configuration of the communication system 1 according to the present embodiment. As described above, the communication system 1 according to the present embodiment includes the information processing server 100 and the mobile terminal 200. Hereinafter, these configurations will be described.

  As described above, the information processing server 100 receives position information from the mobile terminal 200 and determines a user's action history including stay and movement based on the position information and information on the positioning time. A report R relating to user trip data is created.

  The information processing server 100 includes a control unit 110, a communication unit 120, and a database (DB) 140. The function of the information processing server 100 can also be realized as an information processing system that combines two or more information processing apparatuses (including a server).

The control unit 110 includes a CPU (Central Processing Unit) 111 and a memory 113 which are arithmetic devices. The control unit 110 stores a program (software) stored in the memory 113 and executes the program on the CPU 111 to control various processes in the information processing server 100. For example, the location information of the mobile terminal 200 received by the communication unit 120 is recorded in the DB 140 as location history information 141, or the location history information is analyzed to determine where and from what hour to what time, For example, a report R regarding the stay and movement of the user is generated. These functional processes will be described later with reference to FIG.
The communication unit 120 is a communication interface for communicating with the mobile terminal 200. For example, the communication unit 120 receives position information from the mobile terminal 200.

  The DB 140 is an information management module configured on a storage device, for example, and stores location history information 141 and the like. Here, the position history information 141 is information in which position information relating to latitude and longitude received from each mobile terminal 200 is managed in association with time, terminal ID, positioning accuracy, and the like. A specific example of the position history information 141 will be described later with reference to FIG.

  Next, the configuration of the mobile terminal 200 will be described. As illustrated in FIG. 3, the mobile terminal 200 includes a main control unit 210, a wireless communication unit 220, an input unit 230, a display unit 240, and a sensor 250.

  The main control unit 210 controls various processes in the mobile terminal 200 and includes a CPU 211 and a memory 213 (including a volatile memory and a nonvolatile memory). In the main control unit 210, various functions of the portable terminal 200 can be realized by storing programs such as various applications in the storage area of the memory 213, or by executing programs such as the applications by the CPU 211. . More specifically, the main control unit 210 transmits the position information that can be acquired by the GPS receiver 253 to the information processing server 100 using the wireless communication unit 220 at regular intervals, for example, every 5 minutes.

  The wireless communication unit 220 can transmit and receive data to and from other information processing apparatuses via the public network N. As described above, the wireless communication unit 220 transmits position information to the information processing server 100.

  The input unit 230 is a device that accepts input from the user to the mobile terminal 200 and includes an input key, a touch panel, and the like. The input unit 230 may have a function of receiving voice from the user and outputting the input information to the main control unit 210. The display unit 240 is, for example, a display device for displaying various information and presenting it to the user.

  The sensor 250 outputs a detection signal or the like that changes according to the movement state of the user of the mobile terminal 200, and includes, for example, an acceleration sensor 251 and a GPS receiver 253. Specifically, the detection signal output from the sensor 250 includes acceleration information indicating the acceleration output from the acceleration sensor 251 and position information indicating the current position of the mobile terminal 200 output from the GPS receiver 253. It is. The position information may include information related to altitude.

(3 Software functions)
Next, the functional configuration of the software of the information processing server 100 will be described with reference to FIG. FIG. 4 is a functional block diagram schematically showing a configuration of software that operates on the control unit 110 of the information processing server 100.
The software that operates in the control unit 110 includes a position information receiving unit 115, a data extraction unit 117, and a data output unit 119.

  The position information receiving unit 115 periodically (intermittently) receives the position information acquired by each portable terminal 200 from each portable terminal 200 via the communication unit 120 and receives the position information 141 on the DB 140. Register as As for the location information acquisition method, the location information receiving unit 115 issues a location information transmission request to the mobile terminal 200, and the mobile terminal 200 transmits location information as a response thereto. It does not matter whether the position information is sent spontaneously (without request from the information processing server 100 side). In the present embodiment, description will be made assuming that the mobile terminal 200 spontaneously transmits position information.

  The data extraction unit 117 extracts, from the position history information 141, trip data that is a basis for generating the report R created by the data output unit 119. At the time of data extraction, the data extraction unit 117 reads the position history information 141 from the DB 140 by the reading unit 117A, and then performs a grouping process for dividing the position information included in the position history information 141 into groups by the grouping processing unit 117B. The trip data is extracted by discriminating the user's behavior history including stay and movement using the behavior discriminating unit 117C for each group.

  The behavior determination unit 117C analyzes the behavior of the user who owns each mobile terminal 200 based on the position information received from the mobile terminal 200, and determines where from where to when, where from where to when and from where. More specific processing will be described later.

  In addition, the position information grouping process by the grouping processing unit 117B and the action history determining process by the action determining unit 117C may be performed by one module or a plurality of modules in implementation.

  The data output unit 119 aggregates the user trip data extracted by the data extraction unit 117 and creates output data such as a report R, for example. At this time, for example, when the target period of the statistical data is designated by the user, the data extraction unit 117 performs the above-described action history determination process after extracting the position information of the period from the position history information 141. To create trip data.

  Although not explicitly shown in FIGS. 3 and 4, the target period of the trip data created by the data output unit 119 (for example, one year from January to December, one month in January, weekday The information processing server 100 and the control unit 110 include an input interface and an input processing unit for inputting a designation of a holiday, a change of day, etc.).

(4 Specific examples of data)
Next, an example of the position history information 141 managed by the database 140 of the information processing server 100 will be described with reference to FIG. 5, and an example of trip data created by the data extraction unit 117 will be described with reference to FIG. .

(4.1 Specific example of location history information)
FIG. 5 is a diagram illustrating an example of the position history information 141 managed by the database 140. As described above, the position history information 141 is updated when the position information receiving unit 115 sequentially registers the position information transmitted from the mobile terminal 200 as needed in the DB 140.

  In the example of the position history information 141 in FIG. 5, the terminal ID uniquely assigned to each mobile terminal 200, the position information (latitude and longitude) of the terminal ID, the time when the position information is measured, and the position information The positioning accuracy and the like when positioning is managed in association with each other.

  Therefore, in order to grasp the history of the position information of a certain mobile terminal 200, the position information of the terminal ID of the mobile terminal 200 among the data managed by the position history information 141 may be arranged in the order of the positioning time.

(4.2 Specific example of trip data)
FIG. 6 is a diagram illustrating an example of trip data created by the data extraction unit 117. The trip data includes a status indicating stay or movement, a start time and end time of stay or movement, and area information indicating a place of stay or movement.

(5 Process flow)
Hereinafter, the flow of processing in the communication system 1 will be described with reference to FIGS. 7 and 8. Each processing step to be described later can be executed in any order or in parallel as long as there is no contradiction in processing contents, and other steps can be added between the processing steps. good. Further, a step described as a single step for convenience can be executed by being divided into a plurality of steps, and a step described as being divided into a plurality of steps for convenience can be executed as one step.

(5.1 Processing flow of mobile terminal)
FIG. 7 is a flowchart showing a flow of processing of the mobile terminal 200 related to transmission of position information. First, the mobile terminal 200 acquires position information related to the current position using the GPS receiver 253 or the like (S701). In addition, the mobile terminal 200 transmits data including the current time (corresponding to the positioning time), the position information measured in S701, its own terminal ID, the positioning accuracy of positioning in S701, and the like from the wireless communication unit 220. The information is transmitted to the information processing server 100 (S703).

  The portable terminal 200 repeats the acquisition and transmission of the position information from the GPS in S701 and S703 intermittently (for example, at an interval of 5 minutes) unless the process for acquiring the position information ends (No in S705). When the mobile terminal 200 is not moving (for example, when the acceleration sensor 251 has not detected movement), the mobile terminal 200 may be mounted so as not to transmit position information.

(5.2 Process flow of information processing server)
Next, the flow of processing of the information processing server 100 will be described with reference to FIG. FIG. 8 is a flowchart showing a processing flow of the information processing server 100. Although not shown in the flowchart, the information processing server 100 receives the data transmitted in step S703 from the portable terminal 200 independently of the action history determination process, and in response thereto, the position history information 141 can be updated. Specifically, when the position information receiving unit 115 receives the data including the position information transmitted in S703 from the portable terminal 200, the control unit 110 sequentially adds the received data to the position history information 141 of the database 140. To do. On the premise that the position history information 141 is formed in this way, the user's action history determination process will be described below.

  First, the reading unit 117A of the data extraction unit 117 reads data from the position history information 141 using the terminal ID as a key, and arranges the position information in the order of positioning time. Then, when a plurality of pieces of positional information that are temporally continuous have a predetermined relationship, the grouping processing unit 117B groups them (S801).

  Next, for each group that has been grouped, the behavior determination unit 117C of the data extraction unit 117 estimates the time during which the user was in the area corresponding to the group (S803). For example, the time in the area is temporarily estimated by taking the difference obtained by subtracting the earliest position information from the latest position time among the position information belonging to the same group. If the tentatively estimated time is longer than a certain threshold (S805: YES), it is determined that the user has “stayed” in the area corresponding to the group (S807). If it is determined as “stay”, a stay area corresponding to the stay group is extracted (S809). When extracting a stay area, it can be considered that an area having a predetermined shape calculated from a plurality of pieces of position information included in a stay group is regarded as a stay area corresponding to the stay group.

  FIG. 14 illustrates various specific shapes of the stay area. FIG. 14A shows a stay area within a predetermined length from the representative point. The representative point is calculated based on a plurality of pieces of position information included in the stay group. For example, it is conceivable to obtain a representative point from the centroid of each piece of position information and the weighted centroid taking into account the positioning accuracy. The shape of the area is not limited to a circle, and a polygon or the like can be adopted. FIG. 14B shows an area including a circular area centered on each piece of position information as a stay area. As the radius of the circular area, the positioning accuracy of each position information can be adopted, but a common constant may be adopted for each position information. FIG. 14C shows a stay area that is an area formed by smoothly connecting circular areas centered on each piece of position information. FIG. 14D shows an area including a circular area connected in a formula as a stay area. As described above, various shapes are conceivable as the stay area, and an arbitrary area including a part or all of a plurality of pieces of position information included in the stay group can be employed.

  On the other hand, when the estimated time is equal to or less than a certain threshold value (S805: NO), it is not determined that the user has stayed.

  In this way, the processing from S803 to S809 is executed for each group, and it is determined whether or not it is “stay”. After determining whether or not it is “stay” for all the groups, the behavior determination unit 117B determines “movement” from a certain “stay” to the next “stay” (S811). After that, based on the positional information included in each group and the relationship between the previous and subsequent positional information or the previous and subsequent groups, the behavior including the stay and movement start and end times, the stay area, the destination and the move source area, etc. Information relating to the history is extracted and output (S813). For example, the end time of a certain “stay” is regarded as the start time of “move”, and the start time of the next “stay” is regarded as the end time of “move”. Also, the stay position of one “stay” and the stay position of the next “stay” are regarded as a movement source and a movement destination, respectively.

(5.3 Grouping method)
Next, regarding the grouping process of S801, the process of the grouping processing unit 117B will be specifically described. As grouping processing, for example, a method of grouping when regions of a predetermined shape including position information overlap, a method of grouping based on a distance or speed between two temporally continuous position information, and the same mesh However, the present invention is not limited to this. Hereinafter, various grouping processing methods will be described with reference to FIGS. 9 to 11.

  FIG. 9 is a diagram exemplifying a technique in which when a region having a predetermined shape including certain position information overlaps with a region having a predetermined shape including other position information, the position information is grouped into one group. In the embodiment shown in the figure, a circular region is used as a region having a predetermined shape. First, a circle having a radius of positioning accuracy is drawn around a point represented by position information. When at least a part of the circular area drawn in this way overlaps with a circular area drawn based on other temporally continuous position information, these are combined into one group. In the example shown in FIG. 9, circular regions 911, 921, 931, and 941 are drawn around the points 91, 92, 93, and 94 with the positioning accuracy of each point as a radius. Then, in the region 95, the circular regions 911 and 921 overlap, and in the region 96, the circular regions 921, 931, and 941 overlap. Therefore, the grouping processing unit 117B sets points 91 and 92 as one group (for example, “group A”) and points 92, 93, and 94 as another group (for example, “group B”). Form. In this embodiment, a circle having a radius of positioning accuracy is drawn for each piece of position information, but the present invention is not limited to this. Although it is preferable to change the radius according to the positioning accuracy, the radius may be constant regardless of the positioning accuracy. Further, the radius may be calculated using a parameter other than the positioning accuracy.

  Here, assuming that groups A and B are determined to be stay groups, an example of stay area extraction processing will be described based on the specific example shown in FIG. Arbitrary points in the region including the regions 911 and 921 are set as the representative points of the group A, and a circular region (not shown) having a predetermined radius with the representative point as the center corresponds to the group A. It is considered a stay area. For the group B, an arbitrary point in the area including the circular areas 921, 931 and 941 is set as a representative point of the group B, and a circular area (not shown) having a predetermined radius with the representative point as the center. Is considered a stay area corresponding to group B. Here, the radius of the stay area corresponding to the group A and the group B may be the same or different.

  In the present embodiment, an example is shown in which the points 92 belong to both the group A and the group B overlappingly and a group is formed. However, as another embodiment, there are a plurality of consecutive points. It is also possible to combine these groups into one group.

  Further, when forming a group, for a plurality of time-sequential position information, it is determined whether or not a region having a predetermined shape including certain position information overlaps with a region having a predetermined shape including other position information. However, if it is clear that the position information is abnormal, the group may be formed excluding the position information. For example, there is actually a case where the position of a certain positioning point is clearly deviated from the positions of points positioned before and after that in time. In such a case, it is preferable to perform the grouping process without being limited to a positioning point that is considered abnormal.

  FIG. 10 shows a plurality of pieces of position information that are continuously within a certain range when the distance or speed between the two points represented by two pieces of position information that are continuous or close in time is within a certain range. It is the figure which illustrated the method which makes 1 into a group. In this embodiment, the distance between two temporally continuous position information, or the speed between two points calculated based on two temporally continuous positional information and time information related thereto, is a predetermined value. It is determined whether or not it is larger than the threshold value. If it is larger than the predetermined threshold, it is determined that these two points belong to another group, and if they are equal to or less than the threshold, it is determined that they belong to the same group. For example, in the example shown in FIG. 10, the distance between the point 91 and the point 92 is larger than a predetermined threshold, and the distance between the point 92 and the point 93 and between the point 93 and the point 94 is smaller than the predetermined threshold. And At this time, it is determined that the points 91 and 92 belong to different groups, and the points 92 and 93 and the points 93 and 94 are determined to belong to the same group. As a result, the grouping processing unit 117B groups the point 91 as one group and the points 92, 93, and 94 as another group. Also in this embodiment, when it is clear that there is an abnormality in the position information, a group may be formed excluding the position information. When an abnormal value is excluded, it is conceivable to obtain a distance or speed between two points by using two pieces of positional information that are close in time.

  FIG. 11 is a diagram exemplifying a technique in which position information measured with the same mesh is grouped. In this method, position information belonging to the same mesh is grouped as one group. Here, the mesh is a plurality of divided regions obtained by dividing a map based on latitude and longitude. In this embodiment, the mesh area is described as a square area having a side of 500 m. However, the present invention is not limited to this, and the shape and size of the divided area of the mesh area are appropriately set according to specifications and design. can do. For example, the shape of the mesh region can be a region surrounded by a polygon such as a quadrangle, a hexagon, a rhombus, or a curve such as a circle. Further, for example, when the user wants to specify an area where he / she frequently stays, the size of the mesh area can be set large. On the other hand, when he / she wants to specify a store where the user frequently visits, the mesh area can be set small. Further, the size of the mesh area may not be constant. For example, the mesh area in the urban area may be made smaller (finer). You can also change the size of the mesh area for each area based on demographic information (for example, reduce the mesh area in areas with large populations), or change the size based on city classification, residential land type, daily life information, etc. It may be set. Further, the mesh area may be set so as to partially overlap with the adjacent mesh. In the example illustrated in FIG. 11, the grouping processing unit 117B groups the point 91 as one group, the points 92 and 93 as another group, and the point 94 as another group.

(5.4 Time adjustment processing for “stay” and “movement”)
In the above-described embodiment, the temporary start time and the temporary end time of the group determined by the behavior determination unit 117C as “stay” are regarded as the “stay” start time and end time, and the “stay” temporary end time and the next In the above embodiment, the temporary start time of “stay” is regarded as the start time and end time of “movement”. It is preferable to carry out. According to this adjustment process, it is possible to divide the user's behavior into “stay” and “movement” in a more realistic manner, without having to link to the positioning points based on the continuous positioning points. Have. Hereinafter, this adjustment process will be described.

  FIG. 12 is a diagram for explaining time adjustment processing for movement and stay. Here, for example, when the action history determination process is performed by the above-described method, it is determined that the user stayed in Area A from 9:30 and stayed in Area B from 10:00 to 11:00 And At this time, when the adjustment process is not used, the period between stays, that is, from 9:30 to 10:00 is regarded as merely “moving”. However, it is preferable that the behavior determination unit 117C performs time adjustment processing that adjusts the start and end times of movement according to the actual situation based on the distance and time between a certain stay and the next stay. By performing this time adjustment process, instead of simply considering movement between the two stay groups, for example, the “stay” in area A continues from 9:50 to 9:50 to 10:00 In the meantime, it can be determined that the user has “moved” from area A to area B.

  More specifically, the following processing can be considered. That is, assuming that the two stay groups move at a predetermined moving speed, the travel time is obtained from the distance between the two stay groups. Then, the staying time is determined by subtracting the travel time from the time between the two staying groups obtained from the positioning point. Thereafter, this stay time is allocated as the stay of the movement source or the movement destination, thereby performing a time adjustment process for stay and movement. For example, it is assumed that the distance between the area A and the area B is 5 km. If the moving speed is a constant and 30 km / hour, it takes 10 minutes to move 5 km. Therefore, it is adjusted that the user stayed in Area A until 9:50, moved to Area B in 10 minutes, and then stayed in Area B from 10:00.

  Here, an example is shown in which the adjustment processing is performed by adjusting the stay and movement time in such a manner as to be allocated to the previous stay. However, the present invention is not limited to this, and various adjustment processes can be employed. For example, to allocate time for later stays, stay in Area A from 9:30, move from 9:30 to 9:40, and stay in Area B from 9:40 You may adjust.

  Further, the moving speed may be set as a variable instead of a constant. For example, it may be determined whether the movement is a train or a car from the movement route, and the movement speed may be set according to the movement means. At this time, if there is a train station or bus stop at the movement source and the movement destination, it is conceivable that the movement time is obtained by matching with a timetable. Further, the moving speed may be changed according to the moving time. In this case, the traffic speed is 20 km / hour due to traffic jams in the morning, but the vehicle moves at 40 km / hour in other time zones.

  In addition, an adjustment mode for estimating the time of entering the “stay” area is also conceivable. Specifically, it is possible to consider a mode in which the time of entering a circle at a predetermined distance from the representative point of “stay” is obtained in proportion to the distance and used as the start time of stay or movement. For example, when a circle with a predetermined distance is a circle with a radius of 500 m, in the above example, the distance between the representative point of area A and the representative point of area B is 5 km, so 500 m from area A and area B. Circles are each one-tenth of the distance between AB. Using this for the 30-minute allocation between AB, stay in Area A from 9:33, move toward Area B from 9:33 to 9:57, and from Area B to 9:57 It is possible to adjust such as staying at. The shape of the area is not limited to a circle, and any shape can be adopted.

(5.5 Duplicate adjustment processing when grouping)
At the time of grouping in S801, one piece of position information may belong to a plurality of groups. In the present embodiment, adjustment processing in such a case can be implemented.

  FIG. 13 is a diagram for explaining the overlap adjusting means. As shown in the figure, it is assumed that the position information 1411 to 1415 belongs to the group A and the position information 1412 to 1416 belongs to the group B. That is, the position information 1412 to 1415 belongs to both the group A and the group B. In such a case, each position information is adjusted to belong to either group A or group B by the overlap adjustment process. For example, an adjustment logic for obtaining a representative point of each group and determining that each position information belongs to the group having the shortest distance to the group representative point can be considered. Here, when it is determined to belong alternately to a plurality of groups, it is preferable to apply a logic that equally divides a group of alternating points and distributes them to the preceding and following groups. In addition, an adjustment logic that proportionally distributes overlapping points to the preceding and succeeding groups according to the number of points belonging to the group can be considered. With such adjustment logic, position information 1412 and 1413 can be adjusted to group A, position information 1414 and 1415 can be adjusted to group B, and the like.

(6 Effects of this embodiment)
As described above, the information processing server 100 according to the present embodiment analyzes the user's action history based on the position history information, and generates trip data including “movement” and “stay”. At this time, it is possible to appropriately adjust the time distribution between “movement” and “stay”.

(7 Other embodiments)
(1) In the above embodiment, when the user's behavior history is determined, the method of determining “stay” first and then determining “moving” between one stay and the next stay has been described. As described above, it is possible to adopt a method of first determining “movement” and then determining “stay” between one movement and the next movement. For example, the staying time of the mobile terminal 200 is calculated for each group grouped by the grouping processing unit 117B, and when it is smaller than a predetermined threshold, it is determined as “moving”, and then there is You may make it discriminate | determine that it is a "stay" between "movement" and the next "movement".

  (2) Regarding the grouping process of S801, when it is estimated that there is an abnormality in the measured position information, that is, when the position is clearly different from the previous and subsequent points, or when the positioning accuracy is extremely poor. Except for this point, a group may be formed. In positioning by GPS or the like, positioning accuracy may deteriorate before and after the start or end of movement. Therefore, when the positioning accuracy is worse than a predetermined value, it is conceivable to perform the grouping process by removing such abnormal points.

  (3) In the above-described embodiment, the mobile terminal 200 performs positioning using GPS or the like. However, the positioning method of the mobile terminal 200 is not limited to this, and various methods can be employed. For example, a positioning method using radio waves other than GPS may be employed. Moreover, you may employ | adopt the method of not measuring by the portable terminal 200 side but positioning by the base station side.

(7 Appendix)
Note that the configurations of the above-described embodiments may be combined or some of the components may be replaced. The configuration of the present invention is not limited to the above-described embodiment, and various modifications may be made without departing from the scope of the present invention.

  DESCRIPTION OF SYMBOLS 100 ... Information processing server, 110 ... Control part, 111 ... CPU, 113 ... Memory, 115 ... Position information receiving part, 117 ... Data extraction part, 117A ... Reading , 117B, grouping processing unit, 117C, action determination unit, 119, data output unit, 120, communication unit, 140, database (DB), 141, location history information , 200 ... mobile terminal.

Claims (7)

A database for storing position history information including position information indicating the position of the mobile terminal and time information indicating time related to the position information;
Based on the position history information stored in the database, data extraction means for extracting the history of the behavior of the user who owns the mobile terminal;
Based on the extracted result, output means for outputting information related to the user's behavior history;
An information processing system comprising:   The information processing system according to claim 1, wherein the data extraction unit includes an action determination unit that determines information related to the movement or stay of the user as a history of the action of the user who owns the mobile terminal. The data extraction means further includes a grouping processing means for dividing a plurality of pieces of position information related to the mobile terminal held by the user into groups,
The information processing system according to claim 2, wherein the behavior determination unit determines information related to the movement or stay of the user using the group.   The said action discrimination | determination means calculates | requires the area relevant to the said group from the positional information contained in one group, and discriminate | determines the place of the said movement or stay based on the said area. Information processing system.   5. The information processing system according to claim 3, wherein the behavior determination unit determines the time of movement or stay based on one group or a plurality of groups that are temporally continuous. 6.   The information processing system according to claim 1, wherein the time information is a time when the position of the mobile terminal is measured. Information processing system
Storing position history information including position information indicating a position of the mobile terminal and time information indicating a time related to the position information in a database;
Based on the position history information stored in the database, a data extraction step for extracting a history of the behavior of the user who owns the mobile terminal;
Based on the extracted result, an output step for outputting information related to the user's behavior history;
An information processing method.