JP4930942B2 - Apparatus and method for estimating moving means of user carrying mobile communication device - Google Patents

Description

  The present invention relates to a technique for estimating a moving means of a user carrying a mobile communication device, and more particularly to a technique for estimating a moving means based on time-series position data of the mobile communication apparatus.

A system that receives position information from a moving body that moves from time to time, accumulates it in time series, and statistically processes the movement of the moving body within a polygon and movement between other polygons based on this, for example, a patent It is described in Document 1. The system of Patent Document 1 analyzes the movement of a moving body based on position information acquired from the moving body.
JP 2000-46856 A

  Incidentally, in recent years, mobile phones have become widespread. Along with this, many people carry their daily lives by carrying mobile communication devices typified by mobile phones. For this reason, by continuously collecting position information from a mobile communication device carried by a person, the movement locus of the person can be easily obtained.

  A person carrying the mobile communication device moves by various moving means such as an automobile, a train, or a walk. For this reason, there is a need to grasp not only the movement trajectory of the person but also the moving means used for the movement.

  Therefore, an object of the present invention is to estimate a moving means used by a person carrying the mobile communication device based on position information of the mobile communication device.

  An apparatus for estimating a moving means of a user carrying a mobile communication device according to an embodiment of the present invention includes a storage means for storing time-series position data of the mobile communication apparatus, and the mobile communication from the storage means. An extraction unit that reads out time-series position data of the device and extracts a specific point that satisfies a specific requirement that can identify a moving unit of a user carrying the mobile communication device based on the read-out time-series position data; And an estimation unit that estimates a moving unit of a user carrying the mobile communication device ahead of the specific point as a moving unit according to the specific requirement.

  In a preferred embodiment, the extraction means is a candidate requirement that allows the moving means of the user carrying the mobile communication device to identify one or more moving means based on the read time-series position data. The estimation means further extracts the moving means of the user carrying the mobile communication device ahead of the candidate point, and the specific requirement for the nearest specific point ahead of the candidate point. You may make it estimate with the moving means concerning.

  In a preferred embodiment, the extraction means further extracts a stop point where the user has stopped for a predetermined time or more based on the read time-series position data, and the estimation means When the estimated moving means of the previous specific point or candidate point is the same as the moving means immediately before the stop point, the moving means from the stop point to the nearest specific point or candidate point is the same. It may be estimated that the moving means.

  In a preferred embodiment, the extraction means calculates a moving speed of a user carrying the mobile communication device based on the read time-series position data, and extracts each point using at least the moving speed. May be performed.

  In a preferred embodiment, there is further provided means for generating movement data with movement means obtained by adding information indicating movement means estimated by the estimation means to the time-series position data stored in the storage means. Also good.

  In a preferred embodiment, the mobile communication device may further comprise means for collecting the position data of the mobile communication device at each time and storing it in the storage means.

  Hereinafter, a system for estimating moving means of a user carrying a mobile communication device according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 shows the overall configuration of the present system.

  As shown in the figure, this system includes an information center 1 and a plurality of mobile communication devices 3 carried by a plurality of users 7.

  The information center 1 continuously collects position data indicating each current position from each mobile communication device 3 at predetermined time intervals. Thereby, the position data at each time of each mobile communication device 3 is accumulated in the information center 1. If this position data is grasped in time series about each mobile communication device 3, the movement locus of those mobile communication devices 3 will be shown.

  The mobile communication device 3 is typically a mobile phone that can identify its current position by a GPS (Global Positioning System) function. However, the mobile communication device 3 may be any device that can be carried by the user and that can identify and transmit its current location, and is not necessarily a mobile phone. Note that the current position of the mobile communication device 3 or the user carrying it is specified by, for example, latitude and longitude.

  FIG. 2 shows a functional configuration diagram of the information center 1.

  The information center 1 is configured by a general-purpose computer system, for example, and individual components or functions in the information center 1 described below are realized by executing a computer program, for example.

  The information center 1 includes a position data collection unit 11 that collects position data sent from the mobile communication device 3, a position data storage unit 21 that stores position data collected by the position data collection unit 11, and a road map. A map data storage unit 23 storing data, a map matching processing unit 13 for matching the position data stored in the position data storage unit 21 with a position on a road map, and a determination point that matches the determination requirements regarding the moving means A determination point extraction unit 15 that extracts the determination point data, a determination point data storage unit 25 that stores the extracted determination point data, and a switching point extraction unit 17 that extracts a switching point of the moving means based on the determination point data. A switching point table 27 for storing information on the base changing points, a data generating unit 19 for generating position data with moving means, and moving means And a position data storage unit 29 can.

  The position data collection unit 11 continuously collects position data sent from the mobile communication device 3. The position data collection unit 11 may directly receive position data transmitted from the mobile communication device 3 by radio, or a wireless communication device (not shown) may receive position data transmitted from the mobile communication device 3. Then, position data may be acquired from this wireless communication device via a wire.

  In addition, when the mobile communication device 3 is a mobile phone, the position data collection unit 11 does not directly acquire each position from each mobile communication device 3 (mobile phone), and the normal call function and data of the mobile phone. You may make it collect the positional data of each mobile communication apparatus 3 (mobile telephone) from the system of the mobile telephone company which controls and manages a communication function. This is because the system of the mobile phone company uses the base station as it knows the position of each by communicating with each mobile communication device 3 (mobile phone).

  The position data storage unit 21 stores the position data collected by the position data collection unit 11.

  FIG. 3 shows an example of the data structure of the position data storage unit 21. As shown in the figure, the position data storage unit 21 includes a mobile ID 211 that is identification information of the mobile communication device 3, a time stamp 212, and a latitude 213 and a longitude 214 of the mobile communication device 3.

  The map data storage unit 23 stores map data related to road maps.

  The map matching processing unit 13 refers to the position data storage unit 21 and the map data storage unit 23, and performs map matching processing for specifying the position of each mobile communication device 3 on the map at each time.

  For example, the map matching processing unit 13 reads position data for each mobile object ID 211 from the position data storage unit 21. When the amount of data is large, the map matching processing unit 13 may read from the position data storage unit 21 in a plurality of times. Then, the map matching processing unit 13 specifies the position of the mobile communication device 3 on the map at each time stamp 212 based on the latitude 213 and longitude 214 of the position data read from the position data storage unit 21. For example, the map matching processing unit 13 determines whether the position of the mobile communication device 3 specified by the latitude 213 and the longitude 214 is “on the road”, “on the track”, or “other” where the location is other than the road and the track. It is determined whether it is.

  The map matching processing unit 13 notifies the determination point extraction unit 15 of the position data read from the position data storage unit 21 and the result of the map matching process.

  The determination point extraction unit 15 extracts a determination point for determining the moving means used by the user, using the position data received from the map matching processing unit 13 and the result of the map matching processing.

  For example, when the user uses walking, a vehicle, or a train as the moving means, the system according to the present embodiment determines which of the moving means is used. Therefore, in this embodiment, a specific requirement that can be specified as one of walking, a vehicle, and a train and a candidate requirement that can specify any of walking, a vehicle, and a train as candidates are predetermined. And when the specific requirement of the moving means (for example, walking) which is a certain point is matched, the moving means ahead from that point is specified as the moving means (walking). Further, when the candidate requirements for a moving means (for example, a vehicle or a train) at a certain point are met, the moving means ahead of that point is specified as one of those candidate moving means (a vehicle or a train).

  Based on the position data of the mobile communication device 3 and the result of the map matching process, the determination point extraction unit 15 extracts a point that matches any one of the above specific requirements or candidate requirements as a determination point.

  Examples of specific requirements and candidate requirements for each moving means are shown in FIGS. 4A and 4B, respectively.

  For example, in the example of the specific requirement shown in Fig. A, the specific requirement for walking is "moving continuously for 15 seconds at a low speed (3 to 7 km / h without stopping)", and the specific requirement for a train is "moving on the track" The speed is over 30 km / h. Further, the specific requirement of the vehicle may be that either (1) the moving speed on the road exceeds 30 km / h or (2) an area where a pedestrian cannot enter such as a bypass or a toll road is satisfied.

  In the example of the candidate requirement shown in FIG. B, the candidate walking requirement includes “detection of operation ignoring road traffic regulation” and “the position on the map is neither on the road nor on the track”. The candidate requirement for vehicles or trains is “moving speed over 20 km / h”.

  In the present embodiment, in addition to the specific requirement and the candidate requirement, an analogy requirement that can infer the type of the moving object may be determined. This analogy requirement may be applied together with the specific requirement described above or instead of the specific requirement. As an example of the analogy requirement, there is, for example, “the possibility of a vehicle is high when stopping intermittently (every 1 to 5 seconds) while moving at a medium speed”.

  Next, an example of processing of the determination point extraction unit 15 will be described.

  First, the determination point extraction unit 15 calculates the moving speed of the mobile communication device 3 based on the position data of the target mobile communication device 3. Then, the determination point extraction unit 15 extracts a point that matches any specific requirement or candidate requirement based on the moving speed of the mobile communication device 3 and the matching processing result of the map matching processing unit 13. The positional information of the point that matches the extracted specific requirement or candidate requirement is registered in the determination point data storage unit 25.

  Furthermore, the determination point extraction unit 15 extracts a point where the user has stopped based on the moving speed of the mobile communication device 3. For example, when the moving speed is substantially zero for 3 seconds or more, the determination point extraction unit 15 determines that the vehicle has stopped at that point. Information regarding the extracted stop point is also registered in the determination point data storage unit 25.

  The determination point data storage unit 25 stores information on the determination points extracted by the determination point extraction unit 15, that is, specific points that match specific requirements, candidate points that match candidate requirements, and stop points.

  For example, as shown in FIG. 5, the determination point data storage unit 25 includes the mobile body ID 251 of the mobile communication device 3, the determination point 252 (latitude and longitude) extracted by the determination point extraction unit 15, and specific requirements or The moving means 254 related to the candidate requirement and the determination point include an extraction category 255 indicating whether the specific requirement, the candidate requirement or the stop requirement is extracted. The stop point moving means 254 is blank.

  The switching point extraction unit 17 refers to the determination point data storage unit 25 and extracts a point estimated that each user has switched the moving means. For example, the switching point extraction unit 17 extracts a switching point estimated to have switched the moving means for each mobile communication device 3 based on the determination point data registered in the determination point data storage unit 25. For example, the switching point extraction unit 17 reads the determination point data of the target mobile communication device 3 from the determination point data storage unit 25, and extracts the switching point according to the following first and second rules.

  According to the first rule, if the extraction section 255 is “specific”, the switching point extraction unit 17 estimates that the moving unit set in the moving unit 254 is a moving unit ahead of the point.

  Further, according to the second rule, if the extraction category 255 is “candidate”, the switching point extraction unit 17 determines that the moving unit set in the moving unit 254 is a candidate for the moving unit beyond that point. . At this time, if the extraction category 255 of the nearest determination point ahead of this “candidate” point is “specific” and any of the candidate moving means is set in the moving means 254, The moving means between the “candidate” point and the “specific” point is estimated as the moving means set in the moving means 254.

  For example, as shown in FIG. 6, the point A where the extraction section 255 is “candidate” and the moving means 254 is “vehicle”, and the extraction section 255 is “specific” ahead of the traveling direction, and the moving means 254 is “vehicle”. Consider the case where there is a B point. In this case, the moving means after the B point is estimated as “vehicle” by the first rule, and the same moving means (vehicle) between the A point and the B point is also estimated by the second rule as after the B point. Is done.

  Next, when the extraction section 255 is “stop”, the switching point extraction unit 17 makes a determination according to the third rule shown below.

  According to the third rule, when the moving means ahead of the stop point whose extraction category 255 is “stop” is estimated according to the above-described first and second rules, the moving means immediately before the stop point is If it becomes the same, the switching point extraction part 17 will consider this stop as a temporary stop, and will maintain a moving means as it is. On the other hand, according to the first and second rules, when the moving means immediately before the stopping point is not the same, the moving means ahead of the stopping point becomes “unknown” which cannot be estimated. This is applied, for example, when stop points appear more continuously after the stop point.

  For example, as shown in FIGS. 7A and 7B, consider a case where the moving means ahead of the point C is estimated as “vehicle” and the stop point D is ahead of the point C in the traveling direction. At this time, in both cases A and B, according to the first and second rules described above, the moving means ahead of the point E and the point F ahead of the point D are both “vehicles”. Presumed. Therefore, in this case, the switching point extraction unit 17 estimates that the moving means between DEs and between DFs is also “vehicle”.

  On the other hand, for example, as shown in FIG. 8, when the stop points are continuous, the moving means between the points HI is “unknown”.

  The switching point extraction unit 17 generates a switching point table 27 as shown in FIG. 9 based on this result. That is, the switching point table 27 stores the switching contents of the moving means for each switching point at which the moving means estimated by the switching point extraction unit 17 is switched.

  For example, the switching point table 27 includes a moving body ID 271, a switching point 272, and switching content 273 as data items. The switching point 272 stores the latitude and longitude of the switching point.

  The data generation unit 19 refers to the switching point table 27 and generates movement data with movement means by adding the estimated movement means to the position data of each mobile communication device 3.

  For example, the data generation unit 19 performs processing according to the flowchart shown in FIG. 10 for each mobile communication device 3. An example of the processing procedure of the data generation unit 19 will be described with reference to FIG.

  First, the data generation unit 19 reads the position data of the target mobile body ID from the position data storage unit 21 (S11).

  Then, the data generation unit 19 sets “unknown” as the initial value of the moving means of the user carrying the mobile communication device 3 (S12).

  The data generation unit 19 extracts switching points from the switching point table 27 in the order of the movement path from the start point to the end point where the user carrying the mobile communication device 3 starts moving (S13). When the switching point is extracted (S13: Yes), the data generation unit 19 switches the moving means according to the switching content 273 of the switching point table 27 (S14).

  When the switching point is not extracted (S13: No), and after switching the moving unit in step S14, the data generating unit 19 gives the current moving unit to the position data of the target point (S15). .

  Until the point to be processed reaches the end point, the processes after step S13 are repeated (S16). Then, when the processing target point is advanced and the processing from step S13 is completed to the end point, the data generation unit 19 stores the position data with moving means generated by these processes in the position data storage section 29 with moving means. Store (S17).

  Thereby, it is possible to generate movement data in which moving means is added to time-series position data of the mobile communication device 3, that is, movement data indicating a movement locus.

  Next, the example of FIG. 11 will be described.

FIG. 1A schematically shows an actual movement route and moving means of the user carrying the mobile communication device 3. And the moving means of each section shown in the figure are specifically as follows.
Starting point S to point c: walking point c to point i: vehicle (taxi)
Point i to point j: Walking point j to End point D: Train Further, FIG. 7A also shows a state where the determination point has already been extracted. The determination point data stored in the determination point data storage unit 25 is specifically as follows.
Point a: Candidate point (walking)
Point b: Decision point (on foot)
Point c: Stop point d: Candidate point (vehicle or train)
Point e: Decision point (vehicle)
Point f: Stop point g: Decided point (vehicle)
Point h: Stop point i: Stop point j: Stop point k: Decision point (train)
When the process described above according to FIG. 11A is executed, the switching point extraction unit 17 extracts the switching point and estimates the moving means of each section as shown in FIG. 11B. That is, the switching point extraction unit 17 estimates that the moving means between the points a → b → c is “walking”. It should be noted that the distance between the start points S → a cannot be estimated and is “unknown”. In addition, the switching point extraction unit 17 estimates the moving means between the points d → e → f → g → h as “vehicle”. In addition, since it is a different moving means between the point d-> e and between the point b-> c, it becomes "Unknown" between the points c-> d. The switching point extraction unit 17 estimates the moving means between the point k and the end point d as a “train”. At this time, any of the moving means between the points h → i → j → k cannot be estimated and becomes “unknown”.

  As described above, although some sections where the moving means cannot be estimated remain, according to the present embodiment, the user carrying the mobile communication device 3 uses the time series position data of the mobile communication device 3. The moving means can be estimated.

  The above-described embodiments of the present invention are examples for explaining the present invention, and are not intended to limit the scope of the present invention only to those embodiments. Those skilled in the art can implement the present invention in various other modes without departing from the gist of the present invention.

  For example, in the above-described embodiment, the case where a walking, a vehicle, and a train are used as the moving unit has been described. However, the moving unit is not limited thereto. For example, in addition to or in place of these moving means, other moving means such as bicycles and motorcycles can be targeted.

1 is an overall configuration diagram of a system for estimating a moving means of a user carrying a mobile communication device according to an embodiment of the present invention. 2 is a functional configuration diagram of an information center 1. FIG. An example of the data structure of the position data storage unit 21 is shown. An example of specific requirements and candidate requirements for each moving means is shown. An example of the data structure of the determination point data storage part 25 is shown. It is explanatory drawing of a switching point extraction process. It is explanatory drawing of a switching point extraction process. It is explanatory drawing of a switching point extraction process. An example of the data structure of the switching point table 27 is shown. 5 is a flowchart illustrating an example of a processing procedure of a data generation unit 19. It is a schematic diagram when this system is applied to a specific example.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Information center 3 Mobile communication apparatus 11 Position data collection part 13 Map matching process part 15 Determination point extraction part 17 Switching point extraction part 19 Data generation part 21 Position data storage part 23 Map data storage part 25 Determination point data storage part 27 Switching Point table 29 Position data storage unit with moving means

Claims (8)

An apparatus for estimating a moving means of a user carrying a mobile communication device,
Storage means for storing time-series position data of the mobile communication device;
Reads time-series position data of the mobile communication device from the storage means, and satisfies the specific requirement to identify the mobile means of the user carrying the mobile communication device based on the read time-series position data Extraction means for extracting a specific point;
An estimation apparatus comprising: an estimation unit that estimates a moving unit of a user carrying the mobile communication device ahead of the specific point as a moving unit according to the specific requirement. The extraction means further includes candidate points that satisfy a candidate requirement that allows the movement means of the user carrying the mobile communication device to identify one or more candidate movement means based on the read time-series position data. Extract and
The estimating means further estimates that the moving means of the user carrying the mobile communication device ahead of the candidate point is a moving means related to the specific requirement of the specific point nearest to the candidate point. The estimation apparatus according to claim 1, characterized in that: The extraction means further extracts a stop point where the user has stopped for a predetermined time or more based on the read time-series position data.
The estimation unit is configured such that when the moving point estimated immediately before the stop point or the candidate point is the same as the moving unit immediately before the stop point, the specific point closest to the stop point 3. The estimation apparatus according to claim 1, wherein the moving means to the candidate point is also estimated as the same moving means.   The extracting means calculates a moving speed of a user carrying the mobile communication device based on the read time-series position data, and extracts each point using at least the moving speed. The estimation apparatus according to any one of claims 1 to 3.   The apparatus further comprises means for generating movement data with movement means obtained by adding information indicating movement means estimated by the estimation means to time-series position data stored in the storage means. The estimation apparatus in any one of 1-4.   The estimation according to claim 1, further comprising means for collecting position data of the mobile communication device at each time from the mobile communication device and storing it in the storage means. apparatus. A method for estimating a moving means of a user carrying a mobile communication device,
Storing the time-series position data in the storage means continuously collecting the position data at each time from the mobile communication device;
Reads time-series position data of the mobile communication device from the storage means, and satisfies the specific requirement to identify the mobile means of the user carrying the mobile communication device based on the read time-series position data Extracting a specific point;
Estimating the moving means of the user carrying the mobile communication device ahead of the specific point as the moving means according to the specific requirement. A computer program for estimating a moving means of a user carrying a mobile communication device,
Storing the time-series position data in the storage means continuously collecting the position data at each time from the mobile communication device;
Reads time-series position data of the mobile communication device from the storage means, and satisfies the specific requirement to identify the mobile means of the user carrying the mobile communication device based on the read time-series position data Extracting a specific point;
The computer program for making a computer perform the step which estimates the moving means of the user who carried the said mobile communication apparatus ahead of the said specific point as the moving means which concerns on the said specific requirement.

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