WO2019022119A1

WO2019022119A1 - Moving body data processing device, and computer program

Info

Publication number: WO2019022119A1
Application number: PCT/JP2018/027846
Authority: WO
Inventors: 龍一今井; 仁仲条; 清貴阿部
Original assignee: 学校法人五島育英会; 株式会社ケー・シー・エス
Priority date: 2017-07-26
Filing date: 2018-07-25
Publication date: 2019-01-31
Also published as: JP6309146B1; JP2019027818A

Abstract

This invention has: a collection database for storing moving body position data indicating the positions of a plurality of moving bodies at different times; a mesh data storage unit for storing mesh data relating to a plurality of meshes formed by dividing the ground surface by a prescribed size; a mesh matching processing unit for matching the positions of a plurality of moving bodies at different times with one of the meshes, on the basis of the moving body position data and the mesh data; a mesh string conversion unit for performing, on the basis of the result of the mesh matching process, a conversion into one or more mesh strings indicating the travel trajectory of one or more moving bodies; and an image generation unit for generating a travel trajectory image based on the mesh string.

Description

Mobile data processing apparatus and computer program

The present invention relates to a technology for analyzing a movement trajectory of a moving object.

By collecting position information, which changes from moment to moment, during movement of a vehicle equipped with a position measurement device such as a GPS device, movement trajectory data of a moving object can be collected. This movement locus can also be treated as, for example, a series of points indicating the vehicle position specified by latitude and longitude, or matching the point indicating the vehicle position to a link commonly used in the field of road traffic data It is also possible to process on a link basis.

For example, Patent Document 1 describes a technique for displaying congestion on a link basis.

JP, 2011-21997, A

If the vehicle position is treated as a point, the calculation becomes complicated. For example, in the case of calculating the distance between two movement trajectories, the load of calculation is large between movement trajectories that are a series of points.

In addition, when processing on a link basis, the movement trajectory of the vehicle in the area where there is no link can not be handled because it can not be matched to the link in the first place.

In addition, there are limitations of link processing. For example, even in the case of a road with multiple lanes, there may be a case where only one link is set, and at this time, it is not possible to analyze movement trajectories for each lane. Alternatively, even when links are set for each lane, it is not possible to cope with movement between links such as lane change.

Therefore, an object of the present invention is to secure the freedom of analysis of a movement locus without increasing the calculation load in the analysis of the movement locus of a moving object.

A mobile data processing apparatus according to one embodiment of the present invention divides a ground surface into a predetermined size and stores a mobile data storage unit storing mobile location data indicating positions of a plurality of mobiles at different times. A mesh data storage unit for storing mesh data relating to a plurality of configured meshes, and positions of the plurality of moving bodies at different times based on the moving body position data and the mesh data, And a matched data storage unit for storing matched data subjected to the mesh matching process.

In a preferred embodiment, there is further provided an image output unit for specifying one or more mesh rows indicating movement trajectories of one or more moving objects based on the matched data, and outputting a movement trajectory image based on the mesh rows. You may

In a preferred embodiment, a plurality of mesh rows indicating movement trajectories of a plurality of moving bodies may be displayed on the movement trajectory image, and meshes overlapping the plurality of mesh rows may be displayed in a distinguishable manner. .

In a preferred embodiment, the mobile data storage unit may further include mobile attribute information indicating attributes of the plurality of mobiles. Then, the image output unit may specify a plurality of mesh rows indicating movement trajectories of a plurality of moving objects having different attributes, and output movement trajectory images based on the plurality of mesh rows.

In a preferred embodiment, the moving body may be a vehicle or a pedestrian, and the image output unit may output the movement trajectory image superimposed on a road map image.

In a preferred embodiment, each mesh of the mesh data has a direction, and the mobile body position data includes data indicating a moving direction of each mobile body at the position, and the matched data is for each mobile body. The position and movement direction may be matched with one mesh. The image output unit identifies a moving body in which the direction of the mesh matches or does not match the moving direction of the moving body in each mesh based on the matched data and the mesh data, and the specified moving body The movement locus image including the movement locus of

In a preferred embodiment, the system further includes an incident data storage unit storing incident data indicating a position at which the incident has occurred, and the image output unit is an incident image indicating the position at which the incident has occurred based on the incident data. May be output.

In a preferred embodiment, the moving body is a vehicle, and the moving body position data includes data indicating a traveling state of each vehicle at the position, and the matched data includes one position and one traveling state of each vehicle. It may be matched with one mesh. The image output unit may output the moving body trajectory image including a mesh of a display mode corresponding to the mesh row and a traveling state of a moving body related to the mesh row.

In a preferred embodiment, the traveling state may be any of a brake operation, an accelerator operation, a turn signal operation, an inter-vehicle time, a rapid deceleration, a longitudinal acceleration, a lateral acceleration, and a yaw angular acceleration.

In a preferred embodiment, the image processing apparatus may further include an image output unit that outputs a distribution image indicating a distribution state of the plurality of moving bodies in the plurality of meshes based on the matched data.

In a preferred embodiment, the mobile data storage unit further includes mobile object attribute information indicating attributes of the plurality of mobile objects, and the image output unit is a device of the first mobile object having a first mobile attribute. The one distribution image and the second distribution image of the moving object having the second moving object attribute may be output so as to be comparable.

In a preferred embodiment, the mobile data includes data on the velocity or acceleration of each mobile at the position, and the matched data is matched with the position and velocity or acceleration of each mobile with one mesh. It may be The image output unit may display a distribution image of a moving body having a predetermined velocity or acceleration.

In a preferred embodiment, the image output unit may display, on the distribution image, a high-frequency movement trajectory in which meshes having a high distribution frequency are connected in the distribution state of the plurality of moving objects.

In a preferred embodiment, the moving body is a vehicle, and the moving body position data includes data indicating a traveling state of each vehicle at the position, and the matched data includes one position and one traveling state of each vehicle. It may be matched with one mesh. The image processing apparatus may further include an image output unit configured to output a state distribution image indicating a distribution of traveling states of the plurality of vehicles in the plurality of meshes based on the matched data.

In a preferred embodiment, the apparatus may further comprise means for receiving designation of the area of the state distribution image. The image output unit may output the state distribution image of the designated area in a display manner according to the approach route of each vehicle to the designated area.

In a preferred embodiment, the traveling state may be speed or acceleration. The image output unit may output the state distribution image indicating a distribution state of moving objects of which velocity or acceleration is within a predetermined range among the plurality of moving objects.

In a preferred embodiment, the traveling state is any one of a brake operation, an accelerator operation, a turn signal operation, an inter-vehicle time, a rapid deceleration, a longitudinal acceleration, a lateral acceleration and a yaw angular acceleration, and the image output unit The image may be superimposed on the road map image and output.

BRIEF DESCRIPTION OF THE DRAWINGS The block diagram of the movement trace analysis apparatus of the mobile which concerns on one Embodiment of this invention. An example of a data structure of collection database 101 is shown. An example of a data structure of the matching data storage unit 105 is shown. An example of a data structure of the mesh row data storage unit 107 is shown. 7 shows one display mode of a movement trajectory image. The other display aspect of a movement trace image is shown. The further another display aspect of a movement trace image is shown. The further another display aspect of a movement trace image is shown. The further another display aspect of a movement trace image is shown. 7 shows one display mode of the heat map. 12 shows another display mode of the heat map. 7 shows one display mode of a velocity distribution image. The one aspect | mode of the speed distribution image which paid its attention to the traffic congestion area is shown. 7 illustrates an aspect of a velocity distribution image by lane at an intersection. It is a flowchart which produces | generates the movement trace image of a reverse running vehicle. It is a movement trace image of a reverse running vehicle. It is a heat map which shows distribution of a vehicle travel state It is a heat map which shows distribution of a vehicle travel state It is a flowchart which produces | generates the heat map of FIG.

Hereinafter, a moving trajectory analysis apparatus for a mobile according to an embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram of a moving locus analysis apparatus (hereinafter referred to as a movement analysis apparatus) 10 of a moving object according to the present embodiment.

As shown in the figure, the movement trajectory analysis device 10 has a movement trajectory analysis device main body 100, an input device 150 such as a keyboard and a pointing device, and an output device 160 such as a display and a printer.

The movement trajectory analysis device main body 100 is constituted by, for example, a general-purpose computer system provided with a processor, a memory and the like, and individual components or functions of the movement trajectory analysis device main body 100 described below are, for example, predetermined computer programs It is realized by executing.

The movement trajectory analyzer 100 includes a collection database 101, a mesh data storage unit 103, a matching data storage unit 105, a mesh string data storage unit 107, a map image data storage unit 109, and an incident data storage unit 111. A mesh matching processing unit 121, a mesh string conversion unit 123, and an image generation unit 125 are included.

The collection database 101 stores data on mobiles collected from external devices and their movement trajectories. For example, the collection database 101 stores mobile position data indicating positions of a plurality of mobiles at different times.

FIG. 2 shows an example of the data structure of the collection database 101. As shown in FIG.

As shown in the figure, the collection database 101 includes No 201, mobile ID 203, mobile type 205, trip ID 207, date 209, time 211, latitude 213, longitude 215, and direction 217. It has a velocity 219, an acceleration 221, and a brake flag 223.

No. 201 is a serial number assigned to the record of the collection database 101. The mobile unit ID 203 is identification information of the mobile unit. The mobile type 205 is information indicating the type of mobile which is one of the attributes of the mobile. For example, the mobile type 205 may be identifiable as a vehicle, a bicycle, a wheelchair, a pedestrian or the like. The mobile type 205 may further be capable of distinguishing among large vehicles, large special vehicles, ordinary vehicles, small vehicles, motorcycles, and the like. The trip ID 207 is identification information of a trip which is a series of movement trajectories of one moving object. The date 209 and the time 211 are the date and time when the mobile was present at the position specified by the latitude 213 and the longitude 215. The direction 217 indicates the moving direction of the moving body at the date 209 and the time 211. The direction 217 may be, for example, a number from 1 to 16 assigned to 16 orientations. The speed 219 is the speed of the mobile at the date 209 and time 211, and may be, for example, hourly speed. The acceleration 221 is the acceleration of the moving object at the date 209 and the time 211. The brake flag 223 is a flag indicating whether or not the brake operation has been performed at the date 209 and the time 211. The brake flag 223 is 1 when the brake is operated and 0 when the brake is not operated.

Each record of the collection database 101 is current position information of the mobile at that time acquired from the position detection device of the mobile. Each record of the collection database 101 is obtained directly from the mobile or via a predetermined mobile data collection apparatus. If the moving body has a sensor that detects the direction and velocity, the direction 217, the velocity 219 and the acceleration 221 may also be acquired along with the current position information. When the moving body does not have a sensor for detecting the direction, velocity and acceleration, it may be calculated in the movement trajectory analyzer main body 100 from the records of the collection database 101.

The mesh data storage unit 103 stores mesh data related to a plurality of meshes configured by dividing the ground surface into a predetermined size. The shape of the mesh may be square. For example, position coordinates of mesh vertices are specified by latitude and longitude. The mesh size may be uniform. The mesh size is arbitrary. The mesh data storage unit 103 may have a plurality of mesh layers having different mesh sizes. Meshes between layers may be associated. The shape of the mesh may not necessarily be square. The mesh may be a rectangle, a triangle, a pentagon or more polygon, or a combination of meshes of different shapes. Furthermore, each mesh of mesh data may have a direction. For example, each mesh may have an allowed (or not) allowed moving direction as the moving direction of the moving body. For example, a mesh on a roadway of a general road or a mesh of a freeway may have a moving direction directed in the traveling direction of the road or freeway. Also, each mesh may have an acceptable mobile type. For example, if it is a mesh on a sidewalk, it may be defined as a pedestrian, and if it is an expressway, it may be defined as a mobile type that permits vehicles.

The matching data storage unit 105 stores matched data in which the position data of the moving object in the collection database 101 and the mesh data in the mesh data storage unit 103 are matched in the mesh matching processing unit 121.

FIG. 3 shows an example of the data structure of the matching data storage unit 105. As shown in FIG.

As shown in the figure, in the matching data storage unit 105, a mesh No 225 is added to the data of the collection database 101. That is, in the mesh data storage unit 103, one mesh No 225 is associated with each record of the collection database 101.

The mesh string data storage unit 107 stores mesh row data indicating the movement locus of the moving object extracted from the matched data of the mesh data storage unit 103 in the mesh string conversion unit 123.

FIG. 4 shows an example of the data structure of the mesh string data storage unit 107. As shown in FIG.

As shown in the figure, the mesh string data storage unit 107 includes a moving object ID 203, a moving object type 205, a trip ID 207, a date 209, a time zone 212, a direction 217, an average velocity 218, and an average acceleration. 220, brake count 224, mesh row 222, and mesh No 225.

The time zone 212 is the time 211 allocated to a time zone having a fixed time. The time zone 212 of this embodiment is represented by the time which deleted the part after a 24-hour system. For example, 9:11:20 is "9" and 8:22:45 is "20". The average speed 218 is an average of the speeds 219 of records assigned to the same mesh. The average acceleration 220 is an average of the accelerations 221 of records assigned to the same mesh. The mesh row 222 is a serial number in the mesh row indicating the movement locus. In the mesh row, meshes of mesh No 225 are arranged in the order of the mesh row 222. The number of times of braking 224 indicates, for each mesh No. 225, the number of times the brake flag 223 is 1 in the mesh.

The incident data storage unit 111 stores data indicating a position at which an incident such as an incident or a near incident likely to result in an accident has occurred. The data indicating the position may be, for example, latitude and longitude. The incident data storage unit 111 may have data indicating the position for each type of incident.

The mesh matching processing unit 121 matches positions of a plurality of moving bodies at different times with any one mesh based on the moving body position data and the mesh data. For example, the mesh matching processing unit 121 matches one mesh with each record of mobile body position data stored in the collection database 101. The mesh matching processing unit 121 may specify the mesh No of the mesh to which the position belongs, based on the latitude 213 and the longitude 215, and the latitude and the longitude of the vertex of each mesh.

The mesh row conversion unit 123 specifies one or more mesh rows indicating movement trajectories of one or more moving objects, based on the result of the mesh matching process. For example, the mesh row conversion unit 123 specifies a mesh row for each trip ID 207. For example, in the example of FIG. 3, a plurality of records are assigned to the same mesh No. 225. The mesh column conversion unit 123 integrates the records to which the same mesh No 225 is allocated into one record. At this time, the mesh row conversion unit 123 specifies the time zone 212, the average velocity 218, the average acceleration 216 and the number of brakes 224 based on the plurality of records to be integrated. For example, the mesh row conversion unit 123 specifies the time zone 212 based on the times 211 of the plurality of records to be integrated, averages the speed 219, calculates the average speed 218, and calculates the average acceleration 220 by averaging the acceleration 221. Do. The mesh row conversion unit 123 counts the number of records in which the brake flags 223 of the plurality of records to be integrated are 1 and sets the number of times of braking 224. The mesh row conversion unit 123 assigns serial numbers as mesh rows 222 to different mesh numbers 225.

The image generation unit 125 generates an image indicating the movement status of the moving object, using data whose movement path is specified by the mesh by the mesh matching process. The image generated by the image generation unit 125 is, for example, an image showing the movement trajectory of the moving body, an image showing the distribution of the position of the moving body, an image showing the distribution of the moving speed or acceleration of the moving body. The image generation unit 125 may generate an image in which the map image is superimposed on the image indicating the movement status of the moving object. The image generation unit 125 may generate an image according to a condition input by the user from the input device 150 or a predetermined condition. The image generated by the image generation unit 125 is output from the output device 160.

For example, the image generation unit 125 refers to the mesh string data storage unit 107 to generate a movement locus image based on one or more mesh columns indicating movement loci of one or more moving objects. The image generation unit 125, for example, identifies the mesh row by the mesh No 225 in the order of the mesh row No 222 for each trip ID 207. When the moving object type 205 or the time zone 212 is specified, the image generation unit 125 may specify the mesh string from the records that match the condition. The image generation unit 125 may generate a movement trajectory image in which the specified mesh row is expressed on the mesh. The image generation unit 125 may obtain a map image from the map image data storage unit 109, and generate a movement trajectory image by superposing a mesh sequence on the map image.

The image generation unit 125 may generate, for example, a moving object trajectory image including a mesh of a display mode corresponding to the mesh row and the traveling state of the moving object related to the mesh row with reference to the mesh row data storage unit 107 . For example, the image generation unit 125 may display a mesh corresponding to the position of the moving object in a display mode indicating the traveling state of the moving object at that position, in accordance with the above-described moving trajectory image. The traveling state may be, for example, one of the average speed 218, the average acceleration 220, and the number of brakes 224.

FIG. 5 shows one display mode of the movement trajectory image.

In the movement locus image 500 of FIG. 10, in the mesh 50, the movement locus of the moving object is displayed by

lines

53, 54 indicating the movement locus connecting the

mesh rows

51, 52 and the position (point) of the moving object. The display of the

lines

53 and 54 indicating the movement locus may be omitted. In addition, the movement trajectory image 500 may further include display of the brake points 55 for meshes whose number of brakes 224 is equal to or more than a predetermined number.

As a result, since the mesh size is known, the approximate distance of the movement path and the distance between movement trajectories can be easily obtained simply by counting the number of meshes. Furthermore, the traveling state on the movement track can be grasped.

FIG. 6 shows another display mode of the movement trajectory image.

In the movement trajectory image 600 of FIG. 10, mesh rows are superimposed and displayed on the map image. In the movement trajectory image 600, the mesh 66 is displayed superimposed on the map image 65. In this image, movement trajectories 63 and 64 of the

vehicles

61 and 62 are displayed. In this example, the movement trajectories 63, 64 include

mesh rows

63A, 64A and

lines

63B, 64B indicating the movement trajectories. Further, in the movement trajectory image 600, a mesh row 63A of the vehicle 61 and a part of the mesh row 64A of the vehicle 62 overlap. The overlapping mesh 67 on which the mesh rows overlap may be displayed in a different manner from the

non-overlapping mesh rows

63A and 64A.

When displaying a mesh row on the movement trajectory image, the image generation unit 125 may change the display mode according to the moving object type 205. For example, according to mobile type 205, for a mesh specified by mesh No 225 indicating a mobile position, a mobile is represented by n × m mesh including the mesh, and it is connected and displayed in a mesh row Good. n and m may be determined in accordance with the mobile type 205. For example, in large vehicles, medium vehicles, bicycles and pedestrians, different n and m may be used.

As a result, by representing the movement trajectory as a mesh row having a predetermined spread, intersection or approach of movement trajectories of a plurality of moving bodies can be easily detected. Furthermore, when there is intersection or approach of the movement trajectory, its position can be easily identified. It is also easy to determine the crossing or approach in consideration of the actual size of the moving object.

FIG. 7 shows still another display mode of the movement trajectory image.

In the movement trajectory image 700 of FIG. 7A, movement trajectories A to F of the moving object are displayed on the mesh 70 in six. As shown in the figure, these trajectories A to F intersect one another at several points. The image generation unit 125 may specify the mesh to which the intersection point belongs from the movement trajectory image 700, and may generate an intersection heat map 750 indicating the distribution of the intersection points.

FIG. 7B is an intersection heat map 750 showing the intersection mesh to which the intersection belongs. In the intersection heat map 750, the intersection mesh 751 is displayed so as to be distinguishable from other meshes. In this example, each intersection mesh describes the number of intersections of movement paths in the mesh, but other display modes may be used. By further overlapping the map image on the intersection heat map 750, the distribution of intersections of the movement paths can be displayed on the map.

The image generation unit 125, for example, refers to the mesh string data storage unit 107, identifies a plurality of mesh strings indicating movement trajectories of a plurality of moving objects having different attributes, and generates movement trajectory images based on the plurality of mesh strings. Do.

FIG. 8 shows still another display mode of the movement trajectory image.

In the movement trajectory image 800 in the same figure, a line (arrow) indicating the movement trajectory of the moving object is displayed based on the mesh row showing the movement trajectory. That is, instead of displaying the movement locus in the mesh row as described above, the movement locus image 800 displays the movement locus with the

symbols

81 and 82 indicating the moving object and the

arrows

83 and 84 indicating the movement path. When the movement locus is expressed by the mesh row, while the locus is jagged at the location where the movement locus is curved, in this aspect, it can be expressed by a smoother curve passing on the mesh line. This makes it possible to intuitively display the movement track in an intuitive manner.

In the movement trajectory image 800, movement paths of a plurality of moving bodies (car and bicycle) having different moving body types are further displayed. This makes it possible to easily compare the travel paths of different mobile types. Also in the display mode of FIG. 5-7, the moving paths of a plurality of moving bodies different in moving body type can be displayed. Also in the display correspondence of FIG. 8, the crossing or approach of a plurality of moving objects can be detected and displayed. For example, as described in FIG. 6, the crossing or approach may be determined in consideration of the size according to the type of mobile object. ^

The image generation unit 125 may generate, for example, a movement trajectory image including an incident image indicating a position where an incident has occurred, with reference to the incident data storage unit 111. For example, the image generation unit 125 may generate a movement trajectory image in which an incident image indicating a point at which an accident or near-miss event has occurred is superimposed on the movement trajectory in the above-described manner.

In the movement trajectory image 900 of FIG. 9, the incident position 910 and the movement route 920 are displayed together. This makes it possible to indicate the relationship between the point of occurrence of the accident or near-miss event and the moving path of the moving body.

The image generation unit 125 generates, for example, a distribution image indicating distribution states of a plurality of moving objects in a plurality of meshes with reference to the mesh string data storage unit 107. The image generation unit 125, for example, extracts a record relating to a predetermined condition from the mesh string data storage unit 107, counts the number of moving objects for each mesh No 225, and generates an image indicating the distribution of the moving objects. The image generation unit 125 can further specify a mesh with a high frequency of mobile object distribution and a mesh with a low frequency based on the mobile object distribution, and generate an image showing a difference in the frequency of mobile object distribution. The image generation unit 125 may acquire a map image from the map image data storage unit 109, and may generate a movement trajectory image by superposing a heat map on the map image.

FIG. 10 shows one display mode of the heat map.

The movement trajectory image 1000 of FIG. 10A shows movement trajectories A to E of five moving bodies on the mesh 1010.

FIG. 10B shows a heat map 1050 showing moving object distributions corresponding to moving trajectories A to E of the moving trajectory image 1000. The number written on the mesh of the heat map 1050 is the number of times a moving object has been present. Further, in the heat map 1050, a mesh row 1051 is drawn which indicates the path through which the moving object has the highest frequency.

In the present embodiment, the moving object trajectory is mesh-matched, so the heat map can be created extremely easily. Furthermore, it is possible to easily extract from the heat map the route through which the moving object passes most frequently.

FIG. 11 shows another display mode of the heat map.

In the heat map 1100 of the same figure, the heat map which shows moving body distribution is superimposed and displayed on the map image. This is a heat map based on the movement locus of the pedestrian who has moved on the sidewalk. The image generation unit 125 may, for example, acquire a record in which the moving object type 205 indicates a pedestrian from the mesh string data storage unit 107, count the number of records for each mesh No 225, and generate a heat map. Furthermore, the image generation unit 125 may identify the mesh row 201 of the route through which the pedestrian passes the most, and may be displayed distinguishably from other meshes.

As in this example, when it is detected that the route through which the pedestrian travels the most on the straight sidewalk meanders, it is presumed that some obstacle exists on the sidewalk.

The image generation unit 125, for example, refers to the mesh string data storage unit 107, and generates a distribution image indicating the distribution state of the velocity or acceleration of the plurality of moving bodies in the plurality of meshes. The image generation unit 125 extracts, for example, a record relating to a predetermined condition (for example, a certain time zone) from the mesh string data storage unit 107, and for each mesh No 225, a speed representative of each mesh from the average speed 218 or the average acceleration 220 Or determine the acceleration, and let it be the mesh velocity and acceleration. Each mesh velocity or acceleration may be an average value, an intermediate value, a maximum value, or a minimum value of the average velocity 218 or the average acceleration 220. The image generation unit 125 may generate a velocity or acceleration distribution image in a display mode according to the mesh velocity or acceleration. The image generation unit 125 may acquire a map image from the map image data storage unit 109 and generate an image in which a distribution image of average velocity or average acceleration is superimposed on the map image.

FIG. 12 shows one display mode of the velocity distribution image.

The velocity distribution image 1200 shown in FIG. 6A has

velocity displays

1201 and 1202 corresponding to the mesh velocity of each mesh. For example, in the speed distribution image 1200, the speed distribution is displayed according to the mesh speed of each lane on a road with two lanes on one side.

In the velocity distribution image 1250 shown in FIG. B, instead of displaying the mesh according to the mesh velocity, the velocity of the moving object is expressed by the

symbols

1251 and 1252 indicating the moving object and the

arrows

1253 and 1254 indicating the velocity. ing.

Arrows

1253 and 1254 may, for example, define representative speeds of a plurality of predetermined meshes from each mesh speed, and have a display mode according to the representative speeds. The length of the arrow may represent the magnitude of the velocity.

The image generation unit 125 may generate, for example, a distribution image of a moving body having a predetermined velocity or acceleration.

FIG. 13 shows one aspect of the speed distribution image focusing on the traffic congestion section.

In the speed distribution image 1300 shown in the figure, a mesh section having a mesh speed in a predetermined range (for example, 10 km / h or less) is specified as a congestion section, and the congestion section is displayed distinguishably from other sections. There is. Here, a predetermined congestion indication may be displayed on the congestion section, or may be colored in the mesh of the congestion section as shown in FIG. By appropriately setting the mesh size, it is easy to grasp detailed traffic congestion sections.

FIG. 14 shows an aspect of the velocity distribution image by lane at an intersection.

Similar to FIG. 12, the velocity distribution image 1400 shown in FIG. 6A has

velocity displays

1401, 1402, and 1403 corresponding to the mesh velocity of each mesh. Here, the speed distribution is displayed for each lane of the road entering the intersection. When a different mesh is assigned to each lane, an image is generated that shows the velocity distribution for each lane.

In the velocity distribution image 1450 shown in FIG. B, as in the case of FIG. 13, sections of meshes having a predetermined mesh velocity range are displayed in a distinguishable manner.

Although the image showing the velocity distribution has been described with reference to FIGS. 12 to 14, the same applies to the image showing the acceleration distribution. The velocity distribution and the acceleration distribution may be superimposed and displayed.

As shown in FIG. 12 to FIG. 14, by setting the mesh size appropriately, it is possible to provide velocity distribution and acceleration distribution more detailed than in link units. For example, the start position and the cancellation position of the traffic jam can be expressed in more detail. It is also possible to express the velocity or acceleration for each lane.

For example, with reference to the mesh data storage unit 103 and the mesh string data storage unit 107, the image generation unit 125 identifies a moving object in which the mesh direction and the moving direction of the moving object match or do not match in each mesh. A movement trajectory image including the movement trajectory of the identified moving object may be generated. Thereby, for example, it is possible to detect and display a vehicle traveling in the opposite direction to the lane in which the traveling direction is determined.

The processing procedure of the reverse run display will be described with reference to the flowchart of FIG.

The image generation unit 125 specifies the mesh No of the display target area (S1501).

The image generation unit 125 specifies the trip ID 207 of the movement trajectory of the vehicle traveling in a direction other than the direction permitted in the display target area (S1503). For example, for the mesh No. 225 in the display target area of each record of the mesh string data storage unit 107, the image generation unit 125 refers to the mesh data storage unit 103 and specifies the movement direction permitted for each mesh. Then, the image generation unit 125 may determine whether or not the direction 217 of each record is the movement direction permitted by the mesh. The image generation unit 125 specifies the trip ID 207 related to the moving object moved in the direction not permitted by this process.

The image generation unit 125 generates a movement trajectory image of the identified trip ID 207 (S1055). This movement trajectory image may be displayed superimposed on the map image.

FIG. 16 is a movement locus image 1600 in which the movement locus of the moving object, which has moved in the unacceptable direction specified in the above process, is superimposed on the map image and displayed.

Thus, for example, it is possible to extract the trajectory of a vehicle that has run backward on a freeway, or extract the trajectory of a vehicle whose center line has been crossed.

The image generation unit 125 may output, for example, a state distribution image indicating a distribution of traveling states of a plurality of vehicles in a plurality of meshes with reference to the mesh string data storage unit 107. For example, the image generation unit 125 may generate a heat map indicating the distribution of meshes whose number of times of braking 224 is equal to or more than a predetermined number.

FIG. 17 shows an example of a heat map 1700 showing the distribution of meshes whose number of times of braking 224 is a predetermined number or more. As shown in the figure, when there is a branch line 1702 joining the main line 1701, it can be seen that the braking operation is concentrated in front of the joining of the main line 1701. As described above, since the traveling state of the vehicle is associated with the mesh, the distribution of the traveling state can be easily grasped.

In response to the designation of the area of the state distribution image from the input device 150, the image generation unit 125 generates a heat map indicating the distribution of the traveling state of the designated area. For example, when the user inputs from the input device 150 to specify an intersection, the image generation unit 125 creates a heat map of the traveling state of the specified intersection. The image generation unit 125 may output the state distribution image of the designated area in a display manner according to the approach route to the designated area of each vehicle.

FIG. 18 is an example of a heat map 1800 showing a distribution of vehicles in which the number of times of braking in the designated area is equal to or greater than a predetermined number. In the figure, an area K (9 meshes) is designated at the intersection. The distribution of the number of brakes in this area is displayed. In the example of the figure, the distribution of the number of times of braking is displayed for each entry route.

The processing procedure for displaying the heat map 1800 shown in FIG. 18 will be described with reference to the flowchart of FIG.

The designation of the area of the state distribution image is accepted from the input device 150 (S1901). Here, the area K of the intersection is designated.

The image generation unit 125 selects an entry route to the designated area K (S1803). The entry route may receive a designated input from the input device 150. Here, the first route to enter the designated area K is selected from the bottom of the figure.

The image generation unit 125 identifies the trip ID 207 of the moving route entering the designated area from the selected route (S1905). For example, the image generation unit 125 specifies the mesh No. 225 of the mesh of the designated area K and the first route, and specifies the trip ID 207 passing through each mesh from the mesh string data storage unit 107.

The image generation unit 125 specifies the trip ID 207 of the moving route entering the specified area from a route other than the selected route (S1907). For example, the image generation unit 125 refers to the mesh string data storage unit 107, and identifies a trip ID 207 passing through the designated area K other than the trip ID 207 identified in step S1905.

The image generation unit 125 generates a heat map of the traveling state of each of the vehicle entering from the selected route and the vehicle entering from the other route (S1909). For example, as shown in FIG. 18, even if the vehicles entering from the first route and the vehicles entering from the second route are distinguished to display the distribution frequencies 1901, 1902, and 1903 of the vehicles having the predetermined number of brakes 224 or more. Good. In the example of the figure, it is displayed except 1st route / 1st route.

The embodiments of the present invention described above are exemplifications for explanation of 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 practice the present invention in various other aspects without departing from the scope of the present invention.

10 movement locus analysis apparatus 100 movement locus analysis apparatus main body 101 collection database 103 mesh data storage unit 105 matching data storage unit 107 mesh string data storage unit 109 map image data storage unit 121 mesh matching processing unit 123 mesh string conversion unit 125 image generation unit

Claims

A mobile data storage unit storing mobile location data indicating positions of the plurality of mobiles at different times;
A mesh data storage unit that stores mesh data relating to a plurality of meshes configured by dividing the ground surface into a predetermined size;
A mesh matching processing unit that matches the positions of the plurality of moving bodies at different times with any one mesh based on the moving body position data and the mesh data;
A matched data storage unit storing the matched data subjected to the mesh matching process;
An image output unit that specifies one or more mesh rows indicating individual movement trajectories of one or more moving objects based on the matched data, and outputs a movement trajectory image indicating the mesh rows;
Mobile data processing apparatus having:
The moving object data according to claim 1, wherein a plurality of mesh rows indicating individual moving trajectories of a plurality of moving objects are displayed on the movement trajectory image, and meshes overlapping with the plurality of mesh rows are identifiably displayed. Processing unit.
The mobile data storage unit further includes mobile attribute information indicating attributes of the plurality of mobiles,
The image output unit is configured to specify a plurality of mesh rows indicating individual movement trajectories of a plurality of moving objects having different attributes, and output movement trajectory images indicating the plurality of mesh rows. Mobile data processor.
The moving body is a vehicle or a pedestrian,
The mobile object data processing device according to any one of claims 1 to 3, wherein the image output unit causes the movement trajectory image to be superimposed on a road map image and output.
Each mesh of the mesh data has a direction,
The moving body position data includes data indicating a moving direction of each moving body at the position,
In the matched data, the position and movement direction of each moving object are matched with one mesh,
The image output unit identifies a moving body in which the direction of the mesh matches or does not match the moving direction of the moving body in each mesh based on the matched data and the mesh data, and the specified moving body The moving object data processing apparatus according to claim 1, wherein the movement locus image including the movement locus of is output.
The system further includes an incident data storage unit that stores incident data indicating a position where the incident has occurred,
The mobile data processing apparatus according to claim 1, wherein the image output unit outputs the movement trajectory image including an incident image indicating a position where the incident has occurred, based on the incident data.
The moving body is a vehicle,
The moving body position data includes data indicating a traveling state of each vehicle at the position,
In the matched data, the position and traveling state of each vehicle are matched to one mesh,
The mobile object data processing apparatus according to claim 1, wherein the image output unit outputs the mobile object trajectory image including the mesh row and a mesh of a display mode according to a traveling state of the mobile object related to the mesh row.
The mobile data processing apparatus according to claim 7, wherein the traveling state is any one of a brake operation, an accelerator operation, a winker operation, an inter-vehicle time, a rapid deceleration, a longitudinal acceleration, a lateral acceleration, and a yaw angular acceleration.
The mobile data processing apparatus according to claim 1, wherein the image output unit further outputs a distribution image indicating a distribution state of the plurality of mobiles in the plurality of meshes based on the matched data.
The mobile data storage unit further includes mobile attribute information indicating attributes of the plurality of mobiles,
The image output unit is configured to compareably output a first distribution image of a mobile having a first mobile attribute and a second distribution image of a mobile having a second mobile attribute. The mobile data processing unit according to Item 9.
The mobile data includes data relating to the velocity or acceleration of each mobile at the position,
In the matched data, the position and velocity or acceleration of each moving object are matched with one mesh,
The mobile data processing unit according to claim 9, wherein the image output unit displays a distribution image of a mobile having a predetermined velocity or acceleration.
The mobile object data processing according to any one of claims 9 to 11, wherein the image output unit causes the distribution image to display a high-frequency movement trajectory in which meshes having a high distribution frequency are connected in the distribution state of the plurality of mobile bodies. apparatus.
The moving body is a vehicle,
The moving body position data includes data indicating a traveling state of each vehicle at the position,
In the matched data, the position and traveling state of each vehicle are matched to one mesh,
The mobile data processing apparatus according to claim 1, wherein the image output unit further outputs a state distribution image indicating a distribution of traveling states of the plurality of vehicles in the plurality of meshes based on the matched data.
A mobile data storage unit storing mobile location data indicating positions of the plurality of mobiles at different times;
A mesh data storage unit that stores mesh data relating to a plurality of meshes configured by dividing the ground surface into a predetermined size;
A mesh matching processing unit that matches the positions of the plurality of moving bodies at different times with any one mesh based on the moving body position data and the mesh data;
A matched data storage unit storing the matched data subjected to the mesh matching process;
Have
The moving body is a vehicle,
The moving body position data includes data indicating a traveling state of each vehicle at the position,
In the matched data, the position and traveling state of each vehicle are matched to one mesh,
An image output unit that outputs a state distribution image indicating a distribution of traveling states of the plurality of vehicles in the plurality of meshes based on the matched data;
The apparatus further comprises means for receiving specification of the area of the state distribution image,
The mobile data processing apparatus, wherein the image output unit outputs the state distribution image of the designated area in a display manner according to an approach route of each vehicle to the designated area.
A mobile data storage unit storing mobile location data indicating positions of the plurality of mobiles at different times;
A mesh data storage unit that stores mesh data relating to a plurality of meshes configured by dividing the ground surface into a predetermined size;
A mesh matching processing unit that matches the positions of the plurality of moving bodies at different times with any one mesh based on the moving body position data and the mesh data;
A matched data storage unit storing the matched data subjected to the mesh matching process;
Have
The moving body is a vehicle,
The moving body position data includes data indicating a traveling state of each vehicle at the position,
In the matched data, the position and traveling state of each vehicle are matched to one mesh,
The image processing apparatus further includes an image output unit that outputs a state distribution image indicating a distribution of traveling states of the plurality of vehicles in the plurality of meshes based on the matched data.
The traveling state is speed or acceleration,
The mobile data processing apparatus, wherein the image output unit outputs the state distribution image indicating a distribution state of mobiles of which velocity or acceleration is within a predetermined range among the plurality of mobiles.
The traveling state relates to a brake operation,
The mobile data processing apparatus according to claim 13, wherein the image output unit superimposes the state distribution image on a road map image and outputs the state distribution image.
When a computer program for processing mobile data is executed by the information processing apparatus, the computer program is executed on the information processing apparatus.
A mobile data storage unit storing mobile location data indicating positions of the plurality of mobiles at different times;
A mesh data storage unit that stores mesh data relating to a plurality of meshes configured by dividing the ground surface into a predetermined size;
A mesh matching processing unit that matches the positions of the plurality of moving bodies at different times with any one mesh based on the moving body position data and the mesh data;
A matched data storage unit storing the matched data subjected to the mesh matching process;
An image output unit that specifies one or more mesh rows indicating individual movement trajectories of one or more moving objects based on the matched data, and outputs a movement trajectory image indicating the mesh rows;
The computer program that is built.