JP2011203012A - Route search device, method, and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform route search while reflecting road conditions or the like on the basis of a movement trajectory.SOLUTION: The route search device is equipped with: a trajectory data storage part 13 storing trajectory data indicating a movement trajectory of a moving body; a condition extraction part 14 as an extraction means for extracting a start point and an arrival point of the movement trajectory on the basis of the trajectory data; the condition extraction part as a passage point extraction means for extracting one or more passage point on the movement trajectory on the basis of the trajectory data; and a route search part 15 performing route search while using the start point and the arrival point as a start place and a destination place and using the one or more passage points as passing points.

Description

  The present invention relates to an apparatus for performing route search for a moving object.

  Conventionally, for example, Non-Patent Document 1 is known as a route display device using a moving locus of a moving object.

  The route display device of Non-Patent Document 1, for example, records the movement trajectory when a user passes a frequently used route or when another user guides the route. When you want to pass again, the recorded movement trajectory can be displayed as it is as a route.

Pioneer Corporation DVD Navigation Map Type2 P48-50

  However, when the movement locus is used as it is as in the route display described in Non-Patent Document 1, position data in which GPS (Global Positioning System) positioning is shifted may be included. In this case, it becomes difficult to use an accurate movement locus as a route.

  In addition, when the movement locus is used as it is as a route, the traffic situation is not reflected. For example, when moving by a vehicle, a road under construction or a road under congestion is displayed as a route. For this reason, a device that can reproduce the movement trajectory and displays the route reflecting the traffic situation has been desired.

  An object of the present invention is to provide a route search device capable of performing route search reflecting road conditions and the like based on a movement trajectory.

  A route search device according to one embodiment of the present invention extracts a starting point and an arriving point of a moving locus based on a locus data storage unit that stores locus data indicating a moving locus of a moving body, and the locus data. An extraction means, a passing point extracting means for extracting one or more passing points on the moving trajectory based on the trajectory data, a starting point and an arriving point as a starting point and a destination, respectively, and the one or more points Route search means for performing a route search using the passing point as a transit point.

  In a preferred embodiment, the one or more passing points on the movement trajectory may be division points when the movement trajectory is divided into a plurality based on a predetermined condition.

  In a preferred embodiment, the division point may be a point obtained by dividing the movement locus into a plurality of sections having the same length.

  In a preferred embodiment, the passage point extraction means may extract the movement locus as an intersection of the movement line and the broken line obtained by broken line approximation as one or more passage points on the movement locus. .

  In a preferred embodiment, the passage point extraction unit performs a temporary route search using the departure point and the arrival point of the movement trajectory extracted by the extraction unit as a departure point and a destination, respectively, and the temporary route. And one or more passing points on the movement locus may be extracted based on a distance between the movement locus and the movement locus.

It is a functional block diagram of the route search device concerning a 1st embodiment of the present invention. It is a figure for demonstrating the outline | summary of the filtering process which the locus | trajectory data generation part of FIG. 1 performs. It is a figure which shows an example of the data structure memorize | stored in the locus | trajectory data storage part of FIG. It is a figure which shows the condition setting screen of the route search displayed on the terminal device of FIG. It is a figure for demonstrating extraction of a passage point and route search in 1st Embodiment. It is a figure for demonstrating the method of a broken line approximation in 2nd Embodiment. It is a flowchart which shows the method of extracting the passing point on the movement locus | trajectory most deviated from the temporary route. It is a figure for demonstrating extraction of the passage point in 3rd Embodiment. It is a flowchart showing operation | movement of the route search apparatus which concerns on 3rd Embodiment. It is a figure for demonstrating extraction of the passage point in 3rd Embodiment. It is a figure for demonstrating extraction of the passage point in 3rd Embodiment.

<First Embodiment>
Hereinafter, a route search device according to a first embodiment of the present invention will be described as an example and described in detail with reference to the drawings.

  FIG. 1 is a functional block diagram of the route search device 1 connected to the terminal device 3.

  In the illustrated example, the terminal device 3 is connected to the route search device 1 via the network 2, but the route search device 1 may be provided inside the terminal device 3.

  The terminal device 3 may be a mobile communication device such as a mobile phone, as shown in the figure, or an in-vehicle terminal fixedly mounted on the vehicle 4 such as an automobile, which is detachably mounted on the vehicle 4. Various types of terminal devices such as terminals may be used.

  The terminal device 3 includes a GPS receiver (not shown). The GPS receiver receives radio waves including date and time data from a plurality of GPS satellites 5 and measures the current position of the terminal device 3. The terminal device 3 transmits a terminal ID for specifying its own terminal device 3 and positioning data to the route search device 1 via the network 2. In this case, the positioning data includes a positioning point (latitude) indicating the position of the terminal device 3 measured at a predetermined distance interval (for example, every 10 m) or a predetermined time interval (for example, every second) by the GPS receiver. And longitude) and the date and time of positioning.

  The terminal device 3 displays the searched route on the display based on route data and map data described later received from the route search device 1.

  The route search device 1 is a device having a route search function for searching a route from a departure place to a destination in consideration of current traffic information and transmitting the searched route to the terminal device 3. The route search function is realized by executing a predetermined program using a processor and a memory (not shown) inside the route search device 1. The route search device 1 may be provided with a navigation function.

  The route search device 1 includes an input / output unit 11, a track data generation unit 12, a track data storage unit 13, a condition extraction unit 14, a route search unit 15, a route storage unit 16, and a map information storage unit 17. Is mainly provided.

  The input / output unit 11 transmits / receives data to / from the terminal device 3. For example, the input / output unit 11 receives a terminal ID and positioning data from the terminal device 3 and transmits the received terminal ID and positioning data to the trajectory data generation unit 12. For example, the input / output unit 11 transmits route data and map data described later to the terminal device 3.

  The trajectory data generation unit 12 receives the terminal ID and positioning data transmitted from the terminal device 3 via the input / output unit 11, generates trajectory data from the terminal ID and positioning data, and stores the trajectory data in the trajectory data storage unit 13. . The trajectory data is generated, for example, by a filtering process for removing abnormal values of the positioning data, a process for grouping a series of consecutive positioning points as the movement trajectory T, or the like. Hereinafter, each process for generating locus data will be described in detail.

  First, the filtering process will be described.

  FIG. 2 is a diagram for explaining an outline of the filtering process performed by the trajectory data generation unit 12.

  When the trajectory data generation unit 12 receives the positioning data from the input / output unit 11, it sequentially performs a filtering process. The filtering process is a process of removing a positioning point indicating an abnormal value (hereinafter referred to as an abnormal point) from a plurality of positioning points. In the present embodiment, the filtering process is performed as a process for generating trajectory data, but the timing for performing the filtering process is not limited to this. For example, the filtering process may be performed at the time of route search to be described later after being performed when generating the trajectory data, or may be performed only at the time of route search. .

  FIG. 2A is a diagram for explaining a process in which an abnormal point is detected by the filtering process.

  For example, the trajectory data generation unit 12 detects and removes abnormal points from consecutive positioning points based on the distance between these positioning points. For example, for the positioning points measured in the order of D1, D2, and D3, the trajectory data generation unit 12 first calculates the distance between the positioning points D1 and D2. At this time, for example, when the distance between the two positioning points D1 and D2 is within a predetermined distance, D2 is treated as a normal positioning point. On the other hand, as shown in FIG. 2A, when the distance between the positioning points D1 and D2 is not less than a predetermined distance (300 m in the illustrated example), the trajectory data generation unit 12 continues between the positioning points D1 and D3. The distance is calculated. Here, the distance between the positioning points D1 and D3 is not separated by 300 m or more. For this reason, the locus data generation unit 12 determines that the positioning points D1 and D3 are continuous and the positioning point D2 indicates an abnormal value, and detects and removes only D2 as an abnormal point.

  FIG. 2B is a diagram for explaining another example of the filtering process.

  In FIG.2 (b), a positioning point shall be measured in order of D4, D5, D6. In the illustrated example, the distance between D4 and D5 is 300 m, but the distance between D4 and D6 is also 300 m or more. In this case, for example, it is determined that the positioning data is not received for 300 m or more for some reason, such as when the vehicle 4 carrying the terminal device 3 is traveling in the tunnel, and the filtering processing unit identifies D4 as an abnormal point. It is not treated as a normal positioning point.

  Next, a process for forming the movement locus T will be described. In the present specification, the movement trajectory T refers to a plurality of continuous positioning points grouped based on a predetermined rule. The predetermined rule in this case may be set in any way. For example, a rule may be adopted in which a plurality of positioning points each having a distance or time between two consecutive positioning points within a predetermined range are grouped. Further, among the plurality of positioning points constituting the movement trajectory T, the point with the earliest date and time may be set as the starting point, and the point with the latest date and time may be set as the arrival point.

  The trajectory data generation unit 12 uses the positioning data after the filtering process to perform grouping based on a predetermined rule, and assigns the same trajectory ID as the movement trajectory T. For example, the trajectory data generation unit 12 may handle the next movement trajectory T from the subsequent positioning point when two consecutive positioning points have a predetermined time interval or more. In addition, for example, the trajectory data generation unit 12 may treat the next moving trajectory T as the next moving trajectory T when the difference between the two positioning points before and after the predetermined positioning distance is greater than a predetermined distance. Good. As described above, when the movement trajectory T is formed and there are no more than a predetermined number of positioning points in one movement trajectory T, these positioning points need not be treated as the movement trajectory T. Good.

  The trajectory data generation unit 12 stores the terminal ID and the trajectory ID in the trajectory data storage unit 13 in association with the positioning data after the abnormal points are removed by the filtering process.

  The trajectory data storage unit 13 is a storage unit that stores trajectory data indicating the movement trajectory T of the terminal device 3.

  FIG. 3 is a trajectory data table 20 for each terminal device 3 as an example of the data structure stored in the trajectory data storage unit 13.

  The locus data table 20 for each terminal device 3 (each terminal ID 21) stores, for example, a locus ID 22, a position 23, a date 24, and a flag 25.

  The locus ID 22 is an ID for identifying the movement locus T. The position 23 is the latitude (Xn) and longitude (Yn) of the positioning point. The date 24 indicates the date when the position 23 was measured. In the flag 25, the earliest date and time in the trajectory ID 22 is recorded as the departure point, and the latest date and time as the arrival point.

  The condition extraction unit 14 extracts the starting point and the arrival point of the movement trajectory T from the trajectory data storage unit 13. For example, the condition extraction unit 14 reads all trajectory data having the desired trajectory ID 22 from the trajectory data storage unit 13. Then, data in which the flag 25 is the starting point and the arriving point is extracted from the read trajectory data.

  In addition, the condition extraction unit 14 extracts one or more passing points on the movement trajectory T from the read trajectory data. There are various methods for extracting the passing point, and for example, the following method may be used.

  That is, a dividing point when the movement locus T is divided into a plurality of parts based on a predetermined condition may be extracted as a passing point. In this case, for example, the passing point may be a dividing point obtained by dividing the movement trajectory T into a plurality of sections having approximately the same length (distance), or a plurality of points that are approximately equally spaced in time based on the date / time data 24. It is good also as a dividing point divided | segmented into the area. For example, the dividing points may be a plurality of positions 23 having substantially equal distances or time intervals from the trajectory data. Note that the number of passing points may be set in advance. For example, this may be set manually by the user or may be set by default.

  The condition extraction unit 14 notifies the route search unit 15 of the extracted departure point, arrival point, and passage point.

  When the route search unit 15 receives the notification from the condition extraction unit 14, the route search unit searches for a route using the departure point and the arrival point as the departure point and the destination, respectively, and one or more passing points.

  The route search unit 15 may also search for an optimal route in consideration of current traffic information when searching for a route.

  The route search unit 15 stores the route data of the searched route in the route storage unit 16. The route search unit 15 transmits the route data of the searched route to the terminal device 3 through the input / output unit 11 together with the surrounding map data extracted from the map information storage unit 17.

  Next, the operation of the route search device 1 in the first embodiment will be described.

  FIG. 4 is a diagram showing a route search condition setting screen 31 displayed on the display of the terminal device 3. FIG. 5A is a diagram for explaining extraction of passing points in the first embodiment. FIG. 5B is a diagram for explaining route search in the first embodiment.

  The user selects a setting condition for route search from the condition setting screen 31 shown in FIG. The setting conditions are, for example, a selection 32 on whether toll roads are used or not and a selection 33 on which movement trajectory T is used. For example, the user can select a desired road such as a toll road by selecting such setting conditions, and can perform a route search based on a movement trajectory that has been passed before. it can. Hereinafter, a route search when any one of the movement trajectories T is selected will be described.

  The terminal device 3 transmits the setting condition selected on the condition setting screen 31 to the route search device 1.

  The condition extraction unit 14 of the route search device 1 that has received the setting conditions reads out the trajectory data of the desired movement trajectory T from the trajectory data storage unit 13 based on the setting conditions, and from among these, the departure point, the arrival point, and the passing point To extract.

  In FIG. 5A, four passing points p10 to p13 obtained by dividing the movement trajectory T from the departure point S to the arrival point G into a plurality of sections having the same length (distance) are extracted. The condition extraction unit 14 notifies the route search unit 15 of the extracted departure point S, arrival point G, and passage points p10 to p13.

  The route search unit 15 performs route search based on the notified departure point S, arrival point G, and passage points p10 to p13. FIG. 5B shows the result of a route search using the departure point S as the departure point, the arrival point G as the destination, and the four passing points p10 to p13 as transit points. The route indicated by the dotted line is the searched route. In this case, as described above, if the user has set conditions such as whether or not toll roads are used via the terminal device 3, the route search unit 15 performs a route search that reflects the conditions. It becomes.

According to the first embodiment of the present invention, by setting a passing point on the movement trajectory T as a transit point, it is possible to perform a route search that reflects road conditions and the like based on a previously taken road. .
Second Embodiment

  Next, a second embodiment will be described.

  In the above-described first embodiment, the condition extraction unit 14 extracts the dividing points when the movement trajectory T is divided into a plurality of parts based on a predetermined condition, but is not limited to this.

  For example, in the second embodiment, the condition extraction unit 14 has a function of extracting the movement trajectory T as one or more passing points on the movement trajectory T by using the intersection of the movement trajectory T and the broken line obtained by the polygonal line approximation. You may make it have further. Further, for example, in this polygonal line approximation, an intersection point with the movement trajectory T where the distance from the virtual straight line connecting the starting point and the destination point becomes a maximum may be extracted as a passing point.

  A method for approximating the above-described broken line approximation for extracting the intersection point with the movement trajectory T having the maximum distance from the virtual straight line connecting the starting point and the destination as a passing point will be described in detail below with reference to FIG. To do. However, the method of polygonal line approximation is not limited to the method described below.

  FIG. 6A is a diagram for explaining a method of determining the first passing point.

  The condition extraction unit 14 first connects the departure point S and the arrival point G with a straight line I1.

  Next, the condition extraction unit 14 connects the straight line I1 and the movement locus T with a straight line I2 orthogonal to the straight line I1 at predetermined intervals. In addition, the interval of I2 in the illustrated example is set for explanation, and is not limited thereto.

  The condition extraction unit 14 sets the intersection of the longest straight line I2 and the movement trajectory T from the straight line I1 to the movement trajectory T as the first passing point P21.

  FIG. 6B is a diagram illustrating a method for determining the second and third passage points.

  The condition extraction unit 14 connects the departure point S, the arrival point G, and the first passage point p21 located on the movement trajectory T with a broken line, and approximates the movement trajectory. In other words, the condition extraction unit 14 connects the starting point S and the first passing point P21, and the first passing point p21 and the arrival point G by the straight lines I11 and I12, respectively.

  Next, the condition extraction unit 14 connects the straight lines I11 and I12 and the movement trajectory T with a straight line I2 orthogonal to the straight lines I11 and I12 at a predetermined interval (not shown).

  The intersection of the longest straight line I2 orthogonal to the straight line I11 and the movement trajectory T is p22, and the intersection of the longest straight line I2 orthogonal to the straight line I12 and the movement trajectory T is p23.

  FIG. 6C is a diagram for explaining a method of approximating the second and third passing points by connecting them with broken lines.

  The condition extraction unit 14 connects the departure point S, the arrival point G, the first passage point p21, the second passage point p22, and the third passage point p23, which are located on the movement trajectory T, with broken lines, and moves again. Approximate the trajectory. In other words, the condition extraction unit 14 includes the departure point and the second passing point P22, the second passing point p22 and the first passing point p21, the first passing point p21 and the third passing point p23, and the third passing point. The passing point p23 and the arrival point are connected by straight lines I13, I14, I15, and I16, respectively.

  In the route search, the condition extraction unit 14 notifies the route search unit 15 of the passing points p21 to 23 extracted as described above together with the starting point S and the arrival point G of the movement trajectory T. Then, the route search unit 15 performs route search using the notified departure point S as the departure point, the arrival point G as the destination, and the passing points p21 to 23 as waypoints.

According to the second embodiment of the present invention, by setting a passing point on the movement trajectory T as a transit point, it is possible to perform a route search based on a trajectory that has passed previously and reflecting road conditions and the like. . Further, a route search approximated by the movement trajectory T can be performed as compared with the case where the waypoints are set on the movement trajectory T almost equally as in the first embodiment.
<Third Embodiment>

  Next, a third embodiment will be described.

  The functions of the condition extraction unit 14 and the route search unit 15 are not limited to the functions exemplified in the first embodiment and the second embodiment described above. You may further have the function shown in the following 3rd Embodiment.

  In the third embodiment, the condition extraction unit 14 causes the route search unit 15 to perform a temporary route search using the departure point S and the arrival point G of the movement trajectory T as the departure point and the destination, respectively. One or more passing points that are passing points and are not on the temporary route may be extracted.

  In this case, for example, the condition extraction unit 14 requests the route search unit 15 to perform a temporary route search, and notifies the route search unit 15 of the locus data of the extracted departure point S and arrival point G. Further, the condition extraction unit 14 receives route data generated by the temporary route search from the route search unit 15 and extracts trajectory data of passing points based on the route data. Details will be described later.

  In this case, the route search unit 15 performs a temporary route search using the departure point S and the arrival point G trajectory data notified from the condition extraction unit 14 as the departure point and the destination, respectively. The route search unit 15 also transmits route data generated by the temporary route search to the condition extraction unit 14.

  In the third embodiment, the one or more passage points extracted by the condition extraction unit 14 may include a passage point on the movement trajectory T that is most distant from the temporary route. For example, one or more passing points extracted by the condition extraction unit 14 calculate the shortest distance from each node to the movement locus T for each of a plurality of nodes on the temporary route, and the shortest distance from each calculated node It is good also as a point on the movement locus | trajectory T corresponding to the node used as the longest distance. A specific example of a method for extracting a passing point will be described below.

  FIG. 7 is a flowchart showing a method of extracting a passing point on a movement locus that is most deviated from the temporary route. FIG. 8 is a diagram for explaining a method of extracting a passing point from the movement trajectory T and the temporary route IR.

  First, the condition extraction unit 14 reads the trajectory data from the trajectory data storage unit 13 and extracts a positioning point (position 23) (step S100).

  Next, the condition extraction unit 14 extracts a node connecting each link from the route data of the temporary route received from the route search unit 15 (step S101).

  Next, the condition extraction unit 14 searches for a positioning point (position 23) closest to each node based on each positioning point (position 23) extracted in step S100 and each node extracted in step S111 (step 23). S102).

  FIG. 8A is an enlarged view of the movement trajectory T and the temporary route IR. For the sake of explanation, the positioning points (position 23) on the movement trajectory T are indicated by D11 to D16, and the nodes on the temporary route IR are N1 to N3. With reference to Fig.8 (a), a mode that the nearest positioning point (position 23) is searched about a certain node N1 is demonstrated. For example, the condition extraction unit 14 calculates the distance between the node N1 and all the positioning points (positions 23) on the movement trajectory T, and selects the closest distance. In the case of the illustrated example, which one of all the positioning points (position 23) on the movement trajectory T is closest is sequentially searched, for example, D11, D12, D13, D14, D15, D16. Since the closest positioning point to the node N1 is D11, these are connected by a straight line.

  The condition extraction unit 14 performs the above processing for a plurality of nodes on the temporary route. In FIG. 8B, N1 and D11, N2 and D14, and N3 and D16 are connected by straight lines, respectively.

  From the result of step 102, the condition extraction unit 14 extracts the longest straight line connecting each node and each positioning point (position 23) (step S103).

  In the illustrated example, the distance of the straight line connecting N2 and D14 is the longest. For this reason, D14 which is the intersection of this straight line and the movement locus | trajectory T is extracted as a passage point (for example, P30).

  Further, in the third embodiment, the route search unit 15 performs the temporary route search again using the transit point extracted by the condition extraction unit 14 as a transit point, and the condition extraction unit 14 performs the re-temporary route search. The route extraction unit 15 repeats the re-extraction process for extracting again the passing points on the movement trajectory T that are not on the temporary route extracted by the predetermined number of times, and the route search unit 15 performs the re-temporary route process and the re-extraction process a predetermined number of times. A route search may be performed by using a passing point extracted repeatedly. For example, the number of repetitions of the re-temporary route process and the re-extraction process may be set depending on how many transit points are provided. The user may set manually or may be set by default.

  Next, operation | movement of the route search apparatus 1 which concerns on 3rd Embodiment is demonstrated below using FIGS.

  FIG. 9 is a flowchart showing the operation of the route search apparatus 1 according to the third embodiment. FIG. 10 is a diagram for explaining a passing point extraction method in the third embodiment. FIG. 11 is a diagram for explaining a passing point extraction method in the third embodiment.

  The terminal device 3 transmits the setting conditions input by the user from the route search condition setting screen 31 (see FIG. 4), and the condition extraction unit 14 of the route search device 1 receives the setting conditions (step S110). .

  The condition extraction unit 14 that has received the setting condition in S110 reads out the trajectory data from the trajectory data storage unit 13 based on the setting condition, and extracts the departure point S and the arrival point G therefrom (step S111).

  Then, the condition extraction unit 14 notifies the route search unit 15 of the extracted departure point S and arrival point G and requests a temporary route search.

  The route search unit 15 performs a temporary route search using the departure point S notified from the condition extraction unit 14 as a departure point and the arrival point G as a destination (step S112).

  FIG. 10A shows the result of the first temporary route search by the route search unit 15. The movement trajectory T from the departure point to the destination is indicated by a solid line, and the retrieved temporary route IR is indicated by a two-dot chain line. The route search unit 15 notifies the condition extraction unit 14 of route data of the searched temporary route.

  The condition extraction unit 14 extracts a passing point based on the route data of the temporary route notified from the route search unit 15 and the trajectory data read from the trajectory data storage unit 13 in step S111 (step S113).

  FIG. 10B shows a state where the first passing point p40 is extracted in step S113. Here, as described above, the point on the movement trajectory T most deviated from the temporary route is defined as the first passing point p40.

  The condition extraction unit 14 determines whether or not the number of passage points extracted has reached a predetermined number (step S114). As described above, the number of passing points may be set in advance.

  If the number of passing points has not reached the predetermined number (step S114: No), step S112 and step S113 are performed again.

  In this case, the condition extraction unit 14 notifies the route search unit 15 of the departure point S and the arrival point G of the movement trajectory T and all the passing points extracted in step S113. Receiving the notification, the route search unit 15 performs a temporary route search again using the departure point S as the departure point, the arrival point G as the destination, and the passing point as the transit point (step S112).

  FIG. 11A shows the result of the second temporary route search and the second passage point extraction by the route search unit 15. The retrieved temporary route IR uses the first passage point p40 as a transit point. Further, the point on the movement trajectory that is the most distant from the searched temporary route is set as the second passing point p50.

  FIG. 11B shows the result of the third temporary route search and the third passing point extraction by the route search unit 15. The retrieved temporary route IR uses the first passage point p40 and the second passage point p50 as a waypoint. Further, the point on the movement trajectory T that is most deviated from the searched temporary route is set as a third passing point p60.

  When the number of passing points has reached a predetermined number (step S114: Yes), the condition extracting unit 14 notifies the route searching unit 15 of the starting point S, the arriving point G of the movement trajectory T, and all the extracted passing points. . Then, the route search unit 15 performs route search using the notified departure point S as the departure point, the arrival point G as the destination, and the passing point as the waypoint (step S115).

  According to the third embodiment of the present invention, by setting a passing point on the movement trajectory T as a transit point, it is possible to perform a route search that reflects road conditions and the like based on the road that has been passed. . Further, a route search closer to the movement trajectory T can be performed as compared to the case where the waypoints are set on the movement trajectory T almost equally as in the first embodiment. Further, in the present embodiment, since a temporary route is used for setting a waypoint, various road conditions such as toll roads, road conditions, and the like can be taken into account when selecting a waypoint.

  You may combine the function of the condition extraction part 14 shown in Embodiment 1-3 mentioned above. For example, as shown in the third embodiment, after extracting a predetermined number of passing points using a temporary route, the extracted passing points are connected by a broken line, and thereafter, the movement trajectory is performed by the broken line approximation shown in the second embodiment. The upper passing point may be further extracted.

  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.

1 route search device 2 network 3 terminal device 11 input / output unit 12 locus data generation unit 13 locus data storage unit 14 condition extraction unit 15 route search unit 16 route storage unit 17 map information storage unit IR temporary route T movement locus

Claims (7)

A trajectory data storage unit that stores trajectory data indicating the movement trajectory of the moving body;
Extraction means for extracting a starting point and an arriving point of the movement locus based on the locus data;
Passage point extraction means for extracting one or more passage points on the moving locus based on the locus data;
A route search device comprising: route search means for performing route search using the departure point and the arrival point as a departure point and a destination, respectively, and using the one or more passing points as a waypoint.   The route search device according to claim 1, wherein the one or more passing points on the movement locus are division points when the movement locus is divided into a plurality of parts based on a predetermined condition.   The route search device according to claim 2, wherein the division point is a point obtained by dividing the movement locus into a plurality of sections having the same length. The passing point extracting means includes
Extracting the movement trajectory as one or more passing points on the movement trajectory by intersecting the movement trajectory with a broken line obtained by polygonal line approximation;
The route search device according to claim 1. The passing point extracting means includes
Performing a temporary route search using the departure point and the arrival point of the movement trajectory extracted by the extraction means as a departure point and a destination, respectively.
Extracting one or more passing points on the movement trajectory based on a distance between the temporary route and the movement trajectory;
The route search device according to claim 1. A method performed by a route search device,
Storing trajectory data indicating the trajectory of the moving object in the server;
Extracting a starting point and an arriving point of the movement trajectory based on the trajectory data;
Extracting one or more passing points on the movement trajectory based on the trajectory data;
Performing a route search using the starting point and the arriving point as a starting point and a destination, respectively, and using the one or more passing points as a waypoint. A computer program for performing route search,
Storing trajectory data indicating the trajectory of the moving object in the server;
Extracting a starting point and an arriving point of the movement trajectory based on the trajectory data;
Extracting one or more passing points on the movement trajectory based on the trajectory data;
A computer program for causing a computer to execute a route search using the starting point and the arriving point as a starting point and a destination, respectively, and using the one or more passing points as a waypoint.

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