JP2023155637A - Trajectory display apparatus and method - Google Patents

Abstract

To realize visualization of the flow of people that is easier for people to grasp.SOLUTION: A trajectory display apparatus 10 for displaying a trajectory indicating movement of a moving object in a predetermined area, comprises: a storage unit 17 for storing attribute color definition information that defines a color for each attribute regarding the movement in the predetermined area; a trajectory identifying unit 13 for identifying a plurality of trajectories from movement status data indicating the movement status of the moving object; a trajectory coloring unit 14 for using the attribute color definition information to specify a color according to the attribute for each of the plurality of identified trajectories and creating a plurality of coloring trajectory information by adding the specified color to the trajectory; and a coloring trajectory information synthesis unit 15 for synthesizing the plurality of created coloring trajectory information. The trajectory display apparatus 10 realizes display of the synthesized coloring trajectory information on a display screen.SELECTED DRAWING: Figure 3

Description

TECHNICAL FIELD The present invention relates to a technique for analyzing the state of movement of moving bodies, such as so-called flow of people, and more particularly, to a technology for displaying the state of movement of moving objects, such as flow of people.

In recent years, it has become necessary to analyze the flow of people and other crowds for purposes such as controlling infectious diseases, evacuation during disasters, and marketing. In order to understand this flow of people, people's trajectories are being acquired.

For example, Patent Document 1 aims to "not only simply calculate the degree of attention to an evaluation target, but also visually capture the movement characteristics of people throughout the evaluation area." For this purpose, in Patent Document 1, "an image data generation unit 120 that captures an image and generates image data from the image at predetermined time intervals, a person tracking unit 122 that tracks the person in the image data, and a person tracking unit 122 that tracks the person in the image data, A divided area in which the moving speed of the person is calculated from the displacement of the person by the tracking unit, and the moving speed of the person located in the divided area is totaled for each divided area obtained by dividing the entire area of the image data into a grid. A speed distribution analysis device is provided that includes a totalizing section 124 and a speed display section 126 that displays the totalized moving speed for each divided region.With this configuration, based on the movement information of the person in the image data, It is possible to visually display the velocity distribution for each divided area and easily understand the behavior of a person toward an object.'' Patent Document 1 also discloses tracking the trajectory of a person in image data.

Further, Patent Document 1 describes displaying an alert regarding the congestion situation when the estimated number of people existing in an area or when the estimated number of people suddenly increases.

Japanese Patent Application Publication No. 2006-85366

In order for people to understand the flow of people, it is desirable to display the information as described above. However, as in Patent Document 1, it is difficult to grasp the actual situation of the flow of people only by the number of people and alerts. For this reason, it is desirable to visualize lanes based on the flow of people. Therefore, an object of the present invention is to realize visualization of the flow of people that is easier for people to understand.

In order to solve the above problems, the present invention composites and draws trajectories that are shown in different colors for each attribute related to the movement of a moving object.

More specifically, in a trajectory display device for displaying a trajectory indicating movement of a moving body in a predetermined area, a storage unit that stores attribute color definition information that defines a color for each attribute regarding movement in the predetermined area; A trajectory identification unit that identifies a plurality of trajectories from movement status data indicating the movement status of the moving body, and a color according to the attribute for each of the identified plurality of trajectories using the attribute color definition information. and a trajectory coloring section that creates a plurality of colored trajectory information by adding the specified color to the trajectory, and a colored trajectory information synthesis section that synthesizes the plurality of created colored trajectory information, This is a trajectory display device that realizes display of colored trajectory information on a display screen.

The present invention also includes a trajectory display method using a trajectory display device. Furthermore, the present invention also includes a program that causes the trajectory display device to function as a computer, and a storage medium that stores the program.

According to the present invention, it is possible to visualize the flow of people in a way that is easier for people to understand.

FIG. 3 is a diagram schematically showing the flow of people on a route according to an embodiment of the present invention. It is a figure showing the drawing result in one embodiment of the present invention. FIG. 1 is a functional block diagram of a trajectory display device in an embodiment of the present invention. FIG. 3 is a diagram showing layout data used in an embodiment of the present invention. FIG. 3 is a diagram showing human position information used in an embodiment of the present invention. FIG. 3 is a diagram showing attribute information used in an embodiment of the present invention. FIG. 3 is a diagram showing attribute color definition information used in an embodiment of the present invention. FIG. 3 is a diagram showing coloring trajectory information used in an embodiment of the present invention. 3 is a flowchart showing a drawing process flow in an embodiment of the present invention. 1 is a hardware configuration diagram showing an example of implementation of a trajectory display device in Example 1. FIG. FIG. 3 is a hardware configuration diagram showing an implementation example of a trajectory display device according to a second embodiment. FIG. 7 is a hardware configuration diagram showing an example of implementation of a trajectory display device in Example 3;

Embodiments of the present invention will be described below. This embodiment realizes a display showing the state of the flow of people based on the flow of people data regarding the flow of people. Note that the human flow data is an example of movement status data indicating the movement status of a mobile object. Therefore, the present invention can be applied to various moving objects other than humans. This mobile object includes mobility devices that transport people, such as robots and cars. Note that it does not matter whether these moving objects move autonomously or not.

<Summary>
First, an overview of this embodiment will be explained. FIG. 1 is a diagram schematically showing the flow of people data showing the flow of people along route 1 in this embodiment. FIG. 1A shows people moving toward their respective goals along a route 1, such as a road, made up of a plurality of cells. In the figure, black circles indicate people who are moving to the right, and cross circles indicate people who are moving to the left. In other words, each person is moving in the direction of the arrow in the diagram. FIG. 1(b) shows the locus of this movement with arrows. Here, the trajectory shown in FIG. 1(b) is created by specifying movement in each cell of route 1 and connecting trajectories showing movement in the same direction in adjacent cells. Note that in this figure, the color of the trajectory is the same regardless of the direction of movement, but in reality, the color is different depending on the direction of movement. At this time, it is desirable to process a certain range of images in the same direction. In particular, it is desirable that the direction be the extending direction of the route 1 (either left or right).

When a trajectory is created in this way, people who pass through the same lane will have exactly the same trajectory. For this reason, as shown in FIG. 1(b), if the trajectories are simply drawn as solid lines, they will overlap, making it difficult to grasp information such as how many people have passed. In this embodiment, the cell is assumed to have a square size of approximately 80 cm, but may be smaller than this size. For example, it may be a processing unit of data such as a pixel.

Therefore, in the present embodiment, a plurality of trajectories, each of which is shown in a different color for each attribute related to the movement of a person, are combined and drawn. For this synthesis, it is desirable that the human flow data be composed of multiple layers for each predetermined unit such as time of day, and when compositing the trajectories, synthesis such as superimposition is performed for each layer and this is drawn. It turns out. FIG. 2 is a diagram showing the result of drawing in this manner. In other words, in this embodiment, the flow of people is drawn as shown in FIG. Specifically, in FIG. 2, the more moving the location, the more conspicuous the trajectory. Furthermore, the fewer the locations, the more the locus is buried and becomes less noticeable. Note that in this embodiment, each trajectory is drawn in a different color depending on its attribute (for example, direction of movement). In this way, in this embodiment, by combining and drawing trajectories shown in different colors, it becomes easier to understand the movement situation.

<Configuration>
Next, the configuration of this embodiment will be explained. FIG. 3 is a functional block diagram of the trajectory display device 10 in this embodiment. The trajectory display device 10 realizes display of a trajectory indicating the flow of people, that is, the movement of people, regarding the flow of people data. For this purpose, the trajectory display device 10 may display the trajectory on its own display screen, or may output the trajectory so that it can be displayed on another device. Note that the people flow data is composed of layers for each predetermined unit. The trajectory display device 10 can use simulation data or actual measurement data as the people flow data. Furthermore, the human flow data can be based on a cell model. For example, cell model simulation data or cell model actual measurement data can be used. Therefore, when using simulation data, the trajectory display device 10 may have a simulator function to generate simulation data.

The trajectory display device 10 includes an input/output section 11, a processing section 12, and a storage section 17. The input/output unit 11 inputs and outputs information with other devices, users, etc., and can be realized by a communication device, an input device, a display device, etc. In particular, when the input/output section 11 has a display function such as using a display device, the above-mentioned locus is displayed on the input/output section 11.

Further, the processing unit 12 performs various processes such as synthesis of coloring trajectory information. For this purpose, the processing section 12 includes a trajectory identifying section 13, a trajectory coloring section 14, a colored trajectory information synthesis section 15, and a cell model simulation section 16. First, the trajectory specifying unit 13 specifies a plurality of trajectories defined by the time-based person position information 172 from the people flow data. In order to identify this trajectory, the trajectory specifying unit 13 specifies line segment information according to the attribute for each cell with respect to the person position information 172 at each time, and combines line segment information with the same attribute. Furthermore, it is desirable that the plurality of trajectories be information for each layer, which is a predetermined unit such as a time period.

Further, the trajectory coloring unit 14 specifies a color for the identified trajectory according to an attribute related to the movement thereof, and creates colored trajectory information. Here, the coloring trajectory information is created for each layer. More preferably, the coloring trajectory information is composed of a semi-transparent (transparent) layer. Furthermore, the attributes may include movement direction, movement speed, regularity of movement (randomness, degree of randomness), destination information (direction of destination in movement), and combinations thereof.

Further, the coloring trajectory information synthesis unit 15 synthesizes each coloring trajectory information 177. For example, the coloring trajectory information synthesis unit 15 superimposes each coloring trajectory information 177, which is a semi-transparent layer, on each other. Further, the cell model simulation unit 16 executes a simulation regarding the flow of people and generates cell simulation data. Note that the cell model simulation unit 16 is an optional configuration and is not essential. This can be omitted, especially when using actually measured data. Further, the cell model simulation section 16 may be provided in a separate device from the trajectory display device 10. Note that in this embodiment, at least one of cell model simulation data and cell model actual measurement data can be used as the human flow data.

Furthermore, the storage unit 17 stores various information and data used in drawing processing and the like of this embodiment. That is, the storage unit 17 stores layout data 171, person position information 172, attribute information 173, attribute color definition information 174, cell model simulation data 175, cell model actual measurement data 176, and coloring trajectory information 177. These various types of information and data will be explained in <Information/Data> below.

Note that the trajectory display device 10 described above only needs to be able to execute the functions described above, and preferably can be realized by a computer. An implementation example of this computer will be explained in each embodiment described later.

<Information/Data>
Various information and data used in this embodiment will be explained below. First, FIG. 4 is a diagram showing layout data 171 used in this embodiment. The layout data 171 is data that holds structural information representing a predetermined area such as route 1. In other words, as shown in FIG. 4, the layout data 171 indicates that the predetermined area is composed of a plurality of cells (00 to 94). Further, the layout data 171 corresponds to route 1 and is composed of a plurality of cells. It also has the size, offset relationship, and shape of each cell. Furthermore, a cell in this embodiment is a unit space in which some attributes can be assigned and information can be managed. As a cell, for example, a two-dimensional space can be divided into four squares of 80 cm or the like, and each square can be treated as a cell, which is a unit for managing information such as the number of people. Further, the shape of the cell may be managed in other shapes such as a hexagon other than a square. Note that the fact that the layout data 171 is a plurality of cells, that is, cell model data is merely an example, and any information indicating the layout of route 1 may be used.

Moreover, FIG. 5 is a diagram showing the person position information 172 used in this embodiment. The person position information 172 is series information indicating the position of a person in the flow of people. In other words, it shows the location information of each person at each time. Therefore, as shown in FIG. 5, in the person position information 172, information for identifying a cell (the number of the layout data 171) is recorded as position information at each time for each person ID. In other words, person ID = "1" is located in cell "01" at time 00:00.1, located in cell "11" at time 00:00.5, and located in "cell 21" at time 00:01.0. ” has moved to be located at. Note that the person ID in this embodiment may be information that can be used to identify other people within a predetermined area, and does not need to be able to identify individuals by name or the like. Furthermore, the person position information 172 can be created from people flow data (cell model simulation data 175 and cell model actual measurement data 176). Note that the person position information 172 is an example of mobile body position information indicating the position of a mobile body.

Further, FIG. 6 is a diagram showing attribute information 173 used in this embodiment. The attribute information 173 is information indicating the attribute of each cell and the color used when describing the locus. In this embodiment, the attribute information 173 is provided for each time, which is an example of a time zone. In addition, although the attribute information 173 for each time is described as one sheet in FIG. 6, the format is not limited to this.

Here, the cell is information for identifying a cell constituting a predetermined area such as route 1, and can be realized by a number in the layout data 171. Furthermore, the occupancy rate indicates the proportion of each attribute in the cell. In this embodiment, horizontal and vertical stops indicating the direction of movement are used as attributes. Left, right, up and down are the directions in FIG. 1(a), and "stop" indicates that the object is stopped. These are examples of attributes, and some of them, such as stop, may be omitted, or other attributes may be added.

Further, the difference indicates the difference between the maximum value and the second largest value (second value) of the occupancy rate in the cell. For example, for cell "00" at time = "00:00.1", the right occupancy rate "0.65" - the left occupancy rate "0.25" = difference "0.4" is calculated. Further, for cell "01", the right occupancy rate "0.8" - the upper occupancy rate "0.15" = the difference "0.65" is calculated.

If this difference is greater than a preset difference threshold, the attribute with the maximum occupancy becomes the cell attribute. For example, in cell "00", the difference is "0.4", which is less than the difference threshold of "0.5", so the cell attribute is "-" (blank cell). Furthermore, in cell "01", the difference is "0.65", so the attribute is "right". Similarly, the cell attribute of cell "02" is also "right". A cell whose attributes are specified in this way is expressed as an occupied cell.

The color corresponding to the attribute identified in this way is also recorded in the attribute information 173. For example, cell "00" at time = "00:00.1" has no attribute, so its color is "black", that is, it is filled. This filling means the same color as the background color of the locus. Furthermore, since the attribute of cell "01" at time = "00:00.1" is "right", the color of its locus is "blue". Note that the identification of attributes is not limited to the above method. Therefore, the attribute information 173 only needs to record the attribute for each cell, and the occupancy rate and difference can be omitted.

Note that when adjacent cells have the same attribute, one trajectory is created by combining the trajectories in these cells. Therefore, the attribute information 173 may be created not for each cell but for each trajectory.

Further, FIG. 7 is a diagram showing attribute color definition information 174 used in this embodiment. The attribute color definition information 174 is information indicating the correspondence between attributes and the colors used to color the locus. That is, the color of the attribute information 173 is specified using the attribute color definition information 174.

Note that the cell model simulation data 175 and the cell model actual measurement data 176 are data indicating the movement status of each person, and are data as schematically shown in FIG. 1(a). Here, the cell model simulation data 175 can be realized as data that can manage movement in units of cells by processing the simulation results using the layout data 171. Created by compositing. Furthermore, the cell model actual measurement data 176 can be realized by processing image data photographed by a camera using the layout data 171, so that movement can be managed on a cell-by-cell basis. Note that the people flow data is not limited to "cell model" data.

Further, FIG. 8 is a diagram showing coloring trajectory information 177 used in this embodiment. The colored trajectory information 177 indicates a plurality of trajectories specified based on the people flow data, and is information in which the color to be colored for each trajectory is specified using the attribute information 173. Specifically, in FIG. 8, each of FIGS. 8(a), (b), and (c) shows information for each layer. That is, FIGS. 8A, 8B, and 8C show the coloring trajectory information 177 of the attribute information 173 for each time. This concludes the explanation of the information and data used in this embodiment.

<Processing flow>
Next, the processing flow of this embodiment will be explained. FIG. 9 is a flowchart showing the drawing processing flow in this embodiment. First, in step S1, the input/output unit 11 acquires crowd flow data from the storage unit 17. That is, the input/output unit 11 acquires the cell model simulation data 175 or the cell model actual measurement data 176 corresponding to the route 1 to be displayed. At this time, a designation of the display target may be accepted from the user via the input/output unit 11, or the display target may be specified according to predetermined conditions. Regarding the latter, the trajectory specifying unit 13 specifies the display target according to conditions such as the size of the display area.

It is desirable that the acquired people flow data be within a specified target time. The target time may be a time specified by the user via the input/output unit 11, or may be specified by the trajectory specifying unit 13. Note that, as an example of the latter, the target time is a time period (before or after) in which the total ratio of the number of people with different attributes in the display area is equal to or greater than a certain level (maximum is possible). By processing in this manner, the time period after a person starts drawing within the display target can be excluded from the drawing target. For example, drawings after a time period when people are moving opposite each other are excluded, allowing processing to be focused on more meaningful time periods.

Further, in step S2, the trajectory specifying unit 13 specifies a plurality of trajectories defined by the time-based person position information 172 from the acquired people flow data. As described above, the trajectory specifying unit 13 can specify line segment information according to the attribute of each cell, combine line segment information with the same attribute, and create a trajectory. Furthermore, it is desirable that the plurality of trajectories be information for each layer, which is a predetermined unit such as a time period.

Further, in step S3, the trajectory coloring unit 14 specifies a color for the identified trajectory according to the attribute related to the movement. For this purpose, the trajectory coloring unit 14 specifies the attribute of each trajectory, and specifies the color corresponding to the attribute using the attribute color definition information 174. Then, the trajectory coloring unit 14 creates colored trajectory information 177 by adding the specified color to the corresponding trajectory. It is desirable that this coloring trajectory information 177 is created for each layer as shown in FIG. Then, the trajectory coloring unit 14 stores the created colored trajectory information 177 in the storage unit 17.

Further, in step S4, the coloring trajectory information synthesis unit 15 synthesizes the plurality of created coloring trajectory information 177. For example, the coloring trajectory information synthesis unit 15 executes the synthesis by superimposing the coloring trajectory information 177 for each layer in a semitransparent manner. Specifically, the coloring trajectory information synthesis unit 15 superimposes each of FIGS. 8(a), 8(b), and 8(c). As a result, combined colored trajectory information is created, and a combined result as shown in FIG. 2 is obtained. At this time, it is preferable that the coloring trajectory information synthesis unit 15 calculates the opacity for making it semi-transparent by dividing the maximum value of the opacity (filling)/the number of people.

Furthermore, the colored trajectory information synthesizing unit 15 generates a positive ratio heat map, which is an example of related information related to the flow of people, which is exemplified as a movement situation in this embodiment, to cells corresponding to the synthesized colored trajectory information. may be added to. From this, it is possible to infer the reason why the colors of the trajectory are mixed, that is, why the flow of people is unclear. Here, the facing rate is the number of times people face each other squarely in a unit time. By adding a head-to-head ratio heat map in this way, if the colors of the trajectories are mixed at a place where the head-to-head ratio is not high, it can be inferred that the vehicles are simply taking the same route at different times. For example, a trajectory after the completion of the confrontation is assumed. Furthermore, if the colors of the trajectories are mixed in a place where the direct facing ratio is high, it means that the two vehicles are taking the same route even though they are directly facing each other. Therefore, it can be estimated that no lane is formed. These may be estimated by the user or may be estimated by the coloring trajectory information synthesis unit 15 in the display described below. In the latter case, these estimation results may also be displayed. Note that it is preferable that the coloring trajectory information synthesis unit 15 stores the combined coloring trajectory information in the storage unit 17. Furthermore, head-to-head collisions also include collisions between moving objects such as people. Further, the colored trajectory information synthesis unit 15 can also color the cells (the background of the trajectory) in a color that corresponds to the facing ratio, that is, the number of times the cells face facing each other. This also makes it possible to predict the cause of the mixture of colors in the trajectory.

Then, in step S5, the input/output section 11 outputs the processing results of the coloring trajectory information synthesis section 15, including the synthesis results. This output includes not only display on the input/output unit 11 but also output for display on other devices. In this step, the synthesis results for the trajectory can be displayed. For this reason, it is possible to grasp the major movement routes of each person with multiple attributes on the cell, and it is also possible to intuitively grasp the blending of the routes based on the blending of the colors. This completes the explanation of the processing flow of this embodiment, and below, each example showing a specific implementation example of this embodiment will be explained.

Example 1 is an example in which drawing processing using cell model simulation data 175 is executed. FIG. 10 is a hardware configuration diagram showing an implementation example of the trajectory display device 10 in the first embodiment. In FIG. 10, the trajectory display device 10 is connected to a file server 100 via a network 40. Here, the trajectory display device 10 can be realized by a computer, and has a processing device 101, an input device 102, a display device 103, a communication device 104, a memory 105, and a sub-storage device 106, which are connected to each other via a communication path. has been done.

First, the processing device 101 can be realized by a processor such as a CPU, and executes calculations according to the drawing program 110 and the cell model simulation program 120 stored in the secondary storage device 106. Therefore, the processing device 101 corresponds to the processing section 12 in FIG.

Further, the input device 102 has a function of receiving instructions and operations from a user, and can be implemented by an input device such as a mouse or a keyboard. The display device 103 also has a function of displaying synthesis results, cell model simulation data 175, cell model actual measurement data 176, and the like. The display device 103 can be realized by a monitor or the like. Note that the input device 102 and the display device 103 correspond to the input/output unit 11 in FIG. 3, and may be realized by one device such as a touch panel.

Further, the communication device 104 has a function of connecting to the file server 100 via the network 40, and transmits and receives various information and data to and from the file server 100. Note that the communication device 104 also corresponds to the input/output unit 11 in FIG.

Furthermore, the memory 105 and the secondary storage device 106 correspond to the storage unit 17 in FIG. The drawing program 110, cell model simulation program 120, and information used for processing in the processing device 101 stored in the sub-storage device 106 are stored in the memory 105. Further, the secondary storage device 106 can be realized by a so-called storage, and stores the drawing program 110 and the cell model simulation program 120. Further, the secondary storage device 106 can be realized by various storage media such as an external HDD (Hard Disk Drive), an SSD (Solid State Drive), or a memory card.

The drawing program 110 includes a trajectory identification module 111, a trajectory coloring module 112, and a colored trajectory information synthesis module 113. Here, each of these modules may be realized by an independent program. Further, each of these modules is configured to execute the functions of each section shown in FIG. 3. The correspondence between each of these modules and programs and each part of FIG. 3 is as follows.
Trajectory identification module 111: Trajectory identification unit 13
Locus coloring module 112: Locus coloring section 14
Coloring trajectory information synthesis module 113: Coloring trajectory information synthesis section 15
Cell model simulation program 120: Cell model simulation section 16
Further, the processing device 101 executes a simulation regarding the movement of people according to the cell model simulation program 120 and generates cell model simulation data 175.

Further, the file server 100 stores layout data 171, person position information 172, attribute information 173, cell model simulation data 175, and coloring trajectory information 177. Then, the trajectory display device 10 can acquire this information from the file server 100 and execute the drawing process. Note that at least part of this information may be stored in the secondary storage device 106. Note that when storing layout data 171, person position information 172, attribute information 173, cell model simulation data 175, and coloring trajectory information 177 in secondary storage device 106, connection to file server 100 and network 40 can be omitted. In other words, the trajectory display device 10 can be realized as a so-called stand-alone device. This concludes the description of the first embodiment.

Embodiment 2 is an embodiment in which drawing processing using cell model simulation data 175 is executed similarly to Embodiment 1. In the first embodiment, the trajectory display device 10 executes the simulation, but in this embodiment, a separately provided simulation server 20 executes the simulation. FIG. 11 is a hardware configuration diagram showing an implementation example of the trajectory display device 10 in the second embodiment. The trajectory display device 10 can be realized by a computer as in the first embodiment, and includes a processing device 101, an input device 102, a display device 103, a communication device 104, a memory 105, and a sub-storage device 106, which are connected via a communication path. are connected to each other.

The trajectory display device 10 is connected via a network 40 to a simulation server 20 that executes a simulation. Therefore, the programs and information stored in the secondary storage device 106 are different from those in the first embodiment. That is, in this embodiment, the drawing program 110, layout data 171, person position information 172, attribute information 173, and attribute color definition information 174 are stored in the secondary storage device 106. These are the same as in Example 1. Furthermore, the simulation server 20 may store at least a portion of the layout data 171, the person position information 172, the attribute information 173, and the attribute color definition information 174.

Further, the simulation server 20 can also be realized by a computer, similarly to the trajectory display device 10. For this reason, the simulation server 20 includes a processing device 201, a communication device 202, a memory 203, and a secondary storage device 204, which are connected to each other via a communication path. The secondary storage device 204 stores the cell model simulation program 120 and cell model simulation data 175. Then, the processing device 201 executes a simulation regarding the movement of people according to the cell model simulation program 120 and generates cell model simulation data 175. In other words, the simulation server 20 corresponds to the cell model simulation section 16 in FIG. 3. Furthermore, the correspondence between these modules and programs in this embodiment and each section in FIG. 3 is the same as in the first embodiment.

Then, the communication device 202 transmits the cell model simulation data 175 to the trajectory display device 10 via the network 40. As a result, the trajectory display device 10 can perform the drawing process using the received cell model simulation data 175. This concludes the description of the second embodiment.

In the first and second embodiments, the cell model simulation data 175 is used to execute the drawing process, but in the third embodiment, the cell model actual measurement data 176 is used. FIG. 12 is a hardware configuration diagram showing an implementation example of the trajectory display device 10 in the third embodiment. In FIG. 12, the trajectory display device 10 is connected to a camera group 30 via a network 40. The trajectory display device 10 is also connected to a terminal device group 50.

Further, the trajectory display device 10 can be realized by a computer, and includes a processing device 101, an interface device 107, a communication device 104, a memory 105, and a sub-storage device 106, which are connected to each other via a communication path. Here, the processing device 101, communication device 104, memory 105, and secondary storage device 106 are the same as in the second embodiment. However, compared to the second embodiment, cell model actual measurement data 176 is further stored in the sub-storage device 106. This cell model actual measurement data 176 is actual measurement data (image) of route 1 photographed by the camera group 30, and is obtained from the camera group 30. The above-described drawing process is then executed based on the cell model actual measurement data 176.

The terminal device group 50 is also connected to the trajectory display device 10 via the interface device 107, and displays the results to the user and receives instructions and operations for drawing processing. Therefore, the interface device 107 corresponds to the input/output unit 11 in FIG. Furthermore, the terminal device group 50 will display the drawing result (combined coloring trajectory information). Note that the correspondence between these modules and programs in this embodiment and each section in FIG. 3 is the same as in the first embodiment.

Further, the terminal device group 50 can be realized by a computer such as a PC, a smartphone, or a tablet. This concludes the description of each embodiment, but the present invention is not limited to these and can be applied to various modifications and applications. For example, the scope of application of the present invention is not limited to the movement of people, but can also be applied to the movement of various types of moving objects, such as their accessories and belongings. Furthermore, the target human flow data is not limited to cell model data.

DESCRIPTION OF SYMBOLS 1...route, 10...trajectory display device, 11...input/output section, 12...processing section, 13...trajectory identification section, 14...trajectory coloring section, 15...coloring trajectory information synthesis section, 16...cell model simulation section, 17... Storage unit, 171...Layout data, 172...Person position information, 173...Attribute information, 174...Attribute color definition information, 175...Cell model simulation data, 176...Cell model actual measurement data, 177...Coloring trajectory information

Claims (12)

In a trajectory display device for displaying a trajectory indicating movement of a moving object in a predetermined area,
a storage unit that stores attribute color definition information that defines a color for each attribute regarding movement in the predetermined area;
a trajectory identification unit that identifies a plurality of trajectories from movement status data indicating the movement status of the mobile object;
Trajectory coloring that uses the attribute color definition information to specify a color according to the attribute for each of the plurality of identified trajectories, and gives the specified color to the trajectories to create a plurality of colored trajectory information. Department and
comprising a coloring trajectory information synthesis unit that synthesizes the plurality of created coloring trajectory information,
A trajectory display device that displays synthesized colored trajectory information on a display screen. The trajectory display device according to claim 1,
The coloring trajectory information is a semi-transparent layer,
The colored trajectory information synthesis unit is a trajectory display device that synthesizes the colored trajectory information by superimposing the layers. The trajectory display device according to claim 2,
The trajectory specifying unit specifies line segment information according to the attribute for each of a plurality of cells constituting the predetermined area, and combines line segment information with the same attribute to specify the trajectory. . The trajectory display device according to claim 3,
The attributes include orientation within the cell due to the movement,
The colored trajectory information synthesis unit is a trajectory display device that colors the cell in a color corresponding to the number of times of facing. The trajectory display device according to claim 2,
The trajectory display device displays, on the display screen, related information related to the movement status with respect to the synthesized colored trajectory information. The trajectory display device according to claim 1,
The trajectory specifying unit is a trajectory display device that identifies a trajectory within a period in which a total of ratios of different attributes within the predetermined area is equal to or greater than a certain value. In a trajectory display method using a trajectory display device for displaying a trajectory indicating movement of a moving object in a predetermined area,
storing attribute color definition information defining a color for each attribute regarding movement in the predetermined area in the storage unit;
A trajectory identifying unit identifies a plurality of trajectories from movement status data indicating the movement status of the mobile object,
The trajectory coloring unit uses the attribute color definition information to specify a color according to the attribute for each of the identified plurality of trajectories, and assigns the specified color to the trajectory to generate a plurality of colored trajectory information. create and
A trajectory display method that combines the plurality of created colored trajectory information by a colored trajectory information synthesis unit and displays the synthesized colored trajectory information on a display screen. In the trajectory display method according to claim 7,
The coloring trajectory information is a semi-transparent layer,
A trajectory display method in which the colored trajectory information is synthesized by superimposing the layers by the colored trajectory information synthesis unit. In the trajectory display method according to claim 8,
A trajectory display method in which the trajectory specifying unit specifies line segment information according to the attribute for each of a plurality of cells constituting the predetermined area, and the line segment information having the same attribute is combined to specify the trajectory. . The trajectory display method according to claim 9,
The attributes include orientation within the cell due to the movement,
A trajectory display method, wherein the coloring trajectory information synthesis unit colors the cell in a color corresponding to the number of times of facing. In the trajectory display method according to claim 8,
A trajectory display method, wherein related information related to the movement status is displayed on the display screen with respect to the synthesized colored trajectory information. In the trajectory display method according to claim 7,
A trajectory display method in which the trajectory specifying unit specifies a trajectory within a period in which the sum of ratios of different attributes within the predetermined area is equal to or greater than a certain value.

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