CN110299063B - Visual display method and device for trajectory data - Google Patents
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Abstract
One or more embodiments of the present specification provide a method and an apparatus for visually displaying trajectory data, where the method may include: determining a track formed between any track point and other track points according to the track data to be displayed, and aggregating the formed track into a track vector; dividing the track vectors into a plurality of groups to respectively integrate the track vectors of at least one part of groups into corresponding main vectors; and diffusing the main vectors into diffusion vectors in corresponding visual display areas in the flow field respectively.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of terminal technologies, and in particular, to a method and an apparatus for visually displaying track data.
Background
With the continuous development of information technology, mobile devices, communication hotspots, vehicles and the like can generate a large amount of track data, and the motion rules of the mobile devices, the communication hotspots, the vehicles and the like can be analyzed by visually presenting the track data, so that more reasonable crowd drainage, communication facility assembly, traffic scheduling and the like can be realized.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure provide a method and an apparatus for visually displaying trajectory data.
To achieve the above object, one or more embodiments of the present disclosure provide the following technical solutions:
according to a first aspect of one or more embodiments of the present specification, there is provided a method for visually displaying trajectory data, including:
determining a track formed between any track point and other track points according to the track data to be displayed, and aggregating the formed track into a track vector;
dividing the track vectors into a plurality of groups to respectively integrate the track vectors of at least one part of groups into corresponding main vectors;
and diffusing the main vectors into diffusion vectors in corresponding visual display areas in the flow field respectively.
According to a second aspect of one or more embodiments of the present specification, there is provided a trajectory data visualization device, including:
the track determining unit is used for determining a track formed between any track point and other track points according to the track data to be displayed so as to aggregate the formed track into a track vector;
the grouping unit is used for dividing the track vectors into a plurality of groups so as to integrate the track vectors of at least one part of groups into corresponding main vectors;
and the diffusion unit is used for diffusing the main vectors into diffusion vectors in corresponding visual display areas in the flow field respectively.
Drawings
Fig. 1 is an architectural diagram of a data visualization presentation system according to an exemplary embodiment.
Fig. 2 is a flowchart of a method for visually displaying trajectory data according to an exemplary embodiment.
FIG. 3 is a schematic diagram of a track provided by an exemplary embodiment.
Fig. 4 is a schematic diagram of a trajectory vector provided by an exemplary embodiment.
FIG. 5 is a diagram illustrating a filtered trajectory vector according to an exemplary embodiment.
FIG. 6 is a diagram illustrating grouping trajectory vectors according to an exemplary embodiment.
FIG. 7 is a schematic diagram of a method for generating a principal vector according to an exemplary embodiment.
Fig. 8 is a schematic diagram of a diffusion process performed on a principal vector of a single trace point according to an exemplary embodiment.
Fig. 9 is a schematic diagram of a visualized flow field after merging diffusion vectors corresponding to respective trajectory points according to an exemplary embodiment.
Fig. 10 is a schematic diagram of an apparatus according to an exemplary embodiment.
Fig. 11 is a block diagram of a visualization display apparatus for trajectory data according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with one or more embodiments of the present specification. Rather, they are merely examples of apparatus and methods consistent with certain aspects of one or more embodiments of the specification, as detailed in the claims which follow.
It should be noted that: in other embodiments, the steps of the corresponding methods are not necessarily performed in the order shown and described herein. In some other embodiments, the method may include more or fewer steps than those described herein. Moreover, a single step described in this specification may be broken down into multiple steps for description in other embodiments; multiple steps described in this specification may be combined into a single step in other embodiments.
In an embodiment, the data visualization display scheme of the present disclosure may be applied to an electronic device, for example, the electronic device may include a mobile phone, a PC, a tablet device, a notebook computer, a handheld computer (PDAs), a wearable device (e.g., smart glasses, smart watches, etc.), and the like, which is not limited by one or more embodiments of the present disclosure. In the operation process, the electronic device can operate the data visualization display system to achieve the purpose of displaying data visually, and the visualization display scheme of the trajectory data of the specification is completed. The application program of the data visualization display system can be pre-installed on the electronic device, so that the data visualization display system can be started and run on the electronic device; of course, when techniques such as HTML5 are employed, the data visualization presentation system may be obtained and run without installing a corresponding application on the electronic device.
In one embodiment, the data visualization presentation system may include a server 11, a network 12, and an electronic device 13 as shown in fig. 1. In the operation process, the server 11 may operate a program on a server side of the data visualization display system to implement functions such as related processing; in the operation process of the electronic device 13, a program at a client side of the data visualization display system may be operated to implement functions such as related display, human-computer interaction, and the like, so that the data visualization display system is cooperatively implemented between the server 11 and the electronic device 13.
The server 11 may be a physical server including an independent host, or the server 11 may be a virtual server carried by a host cluster. The electronic device 13 may employ any of the following types of devices: a mobile phone, a PC, a tablet device, a notebook computer, a pda (Personal Digital Assistants), a wearable device (such as smart glasses, a smart watch, etc.), etc., which are not limited by one or more embodiments of the present disclosure. And the network 12 for interaction between the electronic device 13 and the server 11 may include various types of wired or wireless networks. In one embodiment, the Network 12 may include the Public Switched Telephone Network (PSTN) and the Internet.
It should be noted that: an application program of a client of the data visualization display system can be pre-installed on the electronic device, so that the client can be started and run on the electronic device; of course, when an online "client" such as HTML5 technology is employed, the client can be obtained and run without installing a corresponding application on the electronic device.
Fig. 2 is a flowchart of a method for visually displaying trajectory data according to an exemplary embodiment. As shown in fig. 2, the method may include the steps of:
In an embodiment, a track pointing from any track point to other track points is an outgoing track of the any track point, and a track pointing from other track points to the any track point is an incoming track of the any track point, in other words, a track formed between two track points should consider its direction, and take tracks with the same direction and the same track length as the same track.
In an embodiment, by performing statistics on the formed tracks, corresponding track vectors can be obtained through aggregation. For example, the same or similar tracks may be aggregated into corresponding track vectors, the directions of the track vectors are consistent with the directions of the tracks, the values of the track vectors correspond to the track numbers of the tracks (for example, the values are equal to the track numbers, and further, for example, the values are values obtained by performing specific processing on the track numbers), and the speed of the track vectors is the average speed of the tracks.
In an embodiment, the trajectory vectors with values smaller than the preset value can be screened out, so that the following principal vectors are generated through the remaining trajectory vectors, thereby reducing unnecessary data processing amount and improving the response speed of the visualization requirement of the user while not affecting the visualization display of the trajectory rules.
In an embodiment, by performing group division on the trajectory vectors, a plurality of corresponding principal vectors can be generated, and compared with a processing mode in which all trajectory vectors are integrated into one principal vector in the related art, the trajectory vectors with opposite directions and the same value can be prevented from being offset in the integration process, or the probability of offset is reduced, so that a large amount of trajectory data cannot be finally presented, and the accuracy of visualization is prevented from being influenced. Meanwhile, in the diffusion processing in step 206, diffusion vectors with opposite directions and the same value in the same visualization display area can be avoided, or the probability of occurrence is reduced, so that the occurrence of cancellation and the influence on the visualization accuracy can be prevented.
In one embodiment, a plurality of angle ranges without repeated intervals may be formed between a plurality of directions passing through any of the track points, wherein the track vectors within the same angle range are divided into the same group. Furthermore, the angle of each angle range can be controlled to be not more than 180 degrees, the track vectors with opposite directions and the same value can be completely prevented from being offset in the integration process, and the track data can be accurately presented.
In an embodiment, the size of the plurality of angle ranges may be consistent, for example, the angle ranges are divided into 4 angle ranges, and each angle range is 90 °, so that the information amount of the trajectory data corresponding to each principal vector is substantially the same. By integrating the trajectory vectors into the principal vector, the processing amount in the step 206 of performing vector diffusion can be greatly reduced, and the response speed to the visualization demand of the user can be improved. However, a certain amount of information is inevitably lost in the integration process, so that the information amounts of the track data corresponding to the main vectors are basically the same and balanced by making the sizes of the angle ranges consistent or basically consistent, and excessive information loss caused when the corresponding main vectors are obtained by integration is avoided under the conditions that part of the angle ranges are too large and the number of included tracks is too large, thereby ensuring that the track data can be accurately presented.
In one embodiment, any set of corresponding principal vectors may include: a mean vector of the trajectory vectors of any one of the groups. In other embodiments, the master vectors may also be obtained by performing integration in other manners, for example, merging the trajectory vectors of the same group, and the like, which is not limited in this specification.
And step 206, diffusing the main vectors into diffusion vectors in corresponding visualization display areas in the flow field respectively.
In one embodiment, the tracks are aggregated into track vectors and diffused into diffusion vectors in the flow field, so that the problem of staggered overlapping of track lines when the number of track lines is large when the track data is directly converted into visual track lines (such as OD lines, O represents Origin, and D represents Destination, and then flying lines and the like) is avoided, and the flow state of the track data among all track points can be more clearly and accurately represented.
In an embodiment, when the flow field is in a two-dimensional plane, the flow field is divided into a plurality of grids with preset specifications, and the visual display area may include the grids in the two-dimensional plane; the grid shape may be various shapes such as a rectangle, a rhombus, etc., and this specification does not limit this. In other embodiments, the flow field may also be in a three-dimensional space, the flow field may be divided into a plurality of spaces of a preset specification, and the visualization display area may include a space block in the three-dimensional space, so as to display a trajectory condition in a stereoscopic scene.
In an embodiment, the radiation determination condition corresponding to each principal vector may be determined according to the relative position relationship between each principal vector and the track vector in the group to which the principal vector belongs, that is, the radiation determination condition is related to the track vector in the corresponding group and belongs to a dynamic condition, rather than a preset static condition, so that the radiation determination condition better conforms to the actual situation of each principal vector, and the diffusion accuracy is improved. Then, according to the satisfaction of the radiation judgment conditions corresponding to the principal vectors by the visualization display areas in the flow field, the visualization display areas corresponding to the principal vectors in the flow field can be determined, so that the principal vectors are diffused into the corresponding visualization display areas respectively to form corresponding diffusion vectors.
In an embodiment, the radiation determination condition corresponding to any principal vector may include: not greater than the average moving distance of the track vectors in the group to which any main vector belongs; the average moving distance may be an average distance of projections formed on any one of the principal vectors by the trajectory vectors in the group to which the any one of the principal vectors belongs; correspondingly, the distance between the central point of any visual display area and any track point can be determined, and then the satisfaction condition of any visual display area to the radiation judgment condition corresponding to any principal vector is judged according to the numerical relationship between the distance and the average moving distance. For example, when the separation distance corresponding to a certain visualization display area is not greater than the average moving distance corresponding to a certain principal vector, it can be determined that the visualization display area is affected by the radiation of the principal vector, and the principal vector needs to be diffused to the visualization display area.
In an embodiment, the radiation determination condition corresponding to any principal vector may include: not greater than the average difference angle of the trajectory vectors within the group to which any of the principal vectors belongs; the average difference angle may be an average angle of an included angle formed between a trajectory vector in a group to which the any one of the principal vectors belongs and the any one of the principal vectors; correspondingly, a vector included angle between a vector of any track point pointed by the central point of any visual display area and any main vector can be determined, and then the satisfaction condition of the radiation judgment condition corresponding to any main vector by any visual display area is judged according to the numerical relationship between the vector included angle and the average difference angle. For example, when the vector included angle corresponding to a certain visualization display area is not greater than the average difference angle corresponding to a certain principal vector, it can be determined that the visualization display area is affected by the radiation of the principal vector, and the principal vector needs to be diffused to the visualization display area.
In one embodiment, the radiation determination condition corresponding to any principal vector may include a plurality of conditions, such as: the average moving distance of the track vectors in the group to which any main vector belongs is not more than, and the average difference angle of the track vectors in the group to which any main vector belongs is not more than; correspondingly, when the spacing distance corresponding to a certain visualization display area is not greater than the average moving distance corresponding to a certain main vector and the vector included angle corresponding to the visualization display area is not greater than the average difference angle corresponding to the main vector, it is determined that the visualization display area is affected by the radiation of the main vector, and the main vector needs to be diffused to the visualization display area. Similarly, other conditions may also be applied to the above-described irradiation judgment condition, and the irradiation judgment condition may include any combination between these conditions, which is not limited in this specification.
In an embodiment, an occupation area of the track vector corresponding to any track point in the flow field may be determined, so as to determine a visualization display area corresponding to each main vector in the occupation area. In fact, the affected visualization display area is inevitably located near the principal vector, so that the possible existing range of the visualization display area is limited in the occupied area in advance, the analysis and judgment of the visualization display area which is far away and cannot be affected by the principal vector can be avoided, and the diffusion efficiency of the principal vector is improved.
In an embodiment, when any main vector is diffused to a plurality of visualization display areas, the value of the diffusion vector corresponding to the plurality of visualization display areas is negatively related to the separation distance between the plurality of visualization display areas and any trajectory point. In other words, the values of the diffusion vectors are sequentially decreased from near to far according to the interval distance between the corresponding visual display area and any one of the track points.
In one embodiment, the value of the diffusion vector may be decreased linearly. In other embodiments, other decreasing manners may be adopted, which is not limited in this specification; for example, the successive decrements may be made according to a gaussian distribution.
In one embodiment, the value of the diffusion vector is derived from the value of the principal vector, and the value of the principal vector is derived from the value of the trajectory vector, which is related to the number of trajectories of the same trajectory.
In one embodiment, the diffusion vectors are aligned with the direction and velocity of the corresponding principal vectors. The velocity of the main vector may be an average velocity of the corresponding track vector, and the velocity of the track vector is the velocity of the corresponding same track.
In an embodiment, when a plurality of diffusion vectors exist in the same visualization presentation area, the plurality of diffusion vectors may be merged, and the corresponding merged diffusion vector is presented in the visualization presentation area. In another embodiment, multiple diffusion vectors within a visualization presentation area may be directly presented without implementing a merge.
In an embodiment, when there are multiple diffusion vectors in the same visualization display area, the diffusion vectors may be from multiple principal vectors of the same trace point or from multiple principal vectors of different trace points, which is not limited in this specification.
In an embodiment, the diffusion vector may represent an arrow pointing in the corresponding direction, i.e. the pointing of the arrow may represent the directional information of the corresponding diffusion vector. For other information such as values and speed of the diffusion vectors, the display attributes of the diffusion vectors can be configured so as to be conveniently visualized; for example, the value, speed, and the like of the diffusion vector can be expressed by setting the length, width, color depth, and the like of the arrow. In other embodiments, information such as a value and a speed of a corresponding diffusion vector may be displayed in a blank of the visualization display area, or information such as a value and a speed of a corresponding diffusion vector may be displayed after the user triggers the visualization display area, or in other forms, which is not limited in this specification.
For convenience in understanding, the technical solutions of one or more embodiments of the present specification are described by taking visualization of data of a traffic track in a city traffic scene as an example. Assuming that a plurality of track points exist in a city, such as buildings, traffic light intersections, overhead entrances and the like, when pedestrians or vehicles walk or drive in the city, corresponding traffic track data can be formed; the traffic track data may have various sources, for example, the traffic track data is obtained by collecting and analyzing images through a monitoring camera, or a mobile phone used by a pedestrian and position change information of a GPS signal of a vehicle driven by a driver are used as a corresponding traffic track, and the like, which is not limited in this specification.
In most normal cases, a pedestrian or a vehicle always moves between the individual track points, so that a corresponding track is formed between the individual track points. For example, fig. 3 is a schematic diagram of a track provided by an exemplary embodiment. Taking the track point O shown in fig. 3 as an example, according to the walking record formed by the pedestrian or the vehicle from the track point O to the other track points a to Q, the tracks between the track point O and the other track points a to Q can be determined, for example, the tracks can be presented as a plurality of arrows shown in fig. 3. Specifically, for the arrow pointing from the track point O to the track point a in fig. 3, it indicates that the track pointing from the track point O to the track point a corresponds to the travel record of traveling from the track point O to the track point a; similarly, for a travel record traveling from track point a to track point O, a track pointed to by track point a can also be formed. For the convenience of distinction, the track pointed to the track point a by the track point O may be referred to as an outgoing track, and the track pointed to the track point O by the track point a may be referred to as an incoming track; the following describes the data visualization scheme of the present specification by taking the trajectory as an example.
Take the track of the track point O pointing to the track point a as an example. Due to the fact that the number of pedestrians and vehicles is large, the track of the track point O pointing to the track point A can be formed by a large number of pedestrians and vehicles; similarly, there may be a phenomenon of duplication of the trajectories pointing from the trajectory point O to other trajectory points. Therefore, corresponding track vectors can be obtained by counting the tracks formed between the track point O and other track points and aggregating the same tracks. For example, fig. 4 is a schematic diagram of a track vector provided by an exemplary embodiment, and arrows shown in fig. 4 respectively represent track vectors obtained by aggregating tracks between the track point O and other track points, such as an arrow marked with a numeral "21" at the upper right indicates: and the track vector is obtained by converging the track of the track point O pointing to the track point A, wherein the arrow direction is the direction of the track point O pointing to the track point A, and the number of 21 indicates that 21 tracks exist in the track of the track point O pointing to the track point A. By the above method, the trajectories between the trajectory point O and other trajectory points can be aggregated to obtain the trajectory vector shown in fig. 4, where the value of the trajectory vector is the number of corresponding identical trajectories; further, the track between the track point O and other track points further includes speed information, and the speed of the track vector may be an average speed of the corresponding same track, for example, the speed of the track vector in which the track point O points to the track point a is an average speed of the 21 tracks.
In an embodiment, the track vector of the track point O pointing to one part of the track points may have a larger value, that is, the number of the same tracks is larger, and represents that more pedestrians or vehicles pass through the corresponding road segment, and the track vector of the track point O pointing to another part of the track points may have a smaller value, that is, the number of the same tracks is smaller, and represents that less pedestrians or vehicles pass through the corresponding road segment. In order to enable the final visual content to tend to show the whole traffic condition and to quickly respond to the visual viewing requirement of the user, the track vector with a larger value can be screened out and the track vector with a smaller value can be screened out based on a set quantity threshold; for example, fig. 5 is a schematic diagram of a filtered trajectory vector provided by an exemplary embodiment, and when the number threshold is 15, a trajectory vector with a value less than 15 may be filtered out, so as to obtain the filtered trajectory vector shown in fig. 5.
FIG. 6 is a diagram illustrating grouping trajectory vectors according to an exemplary embodiment. As shown in fig. 6, four directions passing through the locus point O can be set to be 45 °, 135 °, -45 °, respectively, to form four angular ranges of-45 °, 45 ° -135 °, 135 ° -135 °, -135 ° -45 °. In an embodiment, by dividing the trajectory vectors in each angle range into the same group, four groups corresponding to the four angle ranges can be obtained, thereby completing grouping of the trajectory vectors.
Further, the trajectory vectors in each group may be integrated, respectively, to obtain four principal vectors corresponding to the four groups, respectively. For example, fig. 7 is a schematic diagram of generating a principal vector according to an exemplary embodiment, as shown in fig. 7: by integrating three track vectors (the values are respectively 17, 18 and 26) in an angle range of-45 degrees to 45 degrees, a main vector with the value of 17.59 can be obtained; by integrating three track vectors (with values of 26, 18 and 21 respectively) in the angle range of 45-135 degrees, a principal vector with a value of 18 can be obtained; by integrating four trajectory vectors (the values are respectively 21, 17, 20 and 25) within the angle range of 135 degrees to-135 degrees, a principal vector with the value of 18.13 can be obtained; by integrating two trajectory vectors (with values of 16 and 19 respectively) within an angle range of-135 degrees to-45 degrees, a principal vector with a value of 17.78 can be obtained. When a plurality of track vectors exist in the same group, the mean vector of the plurality of track vectors can be calculated and used as the main vector of the corresponding group obtained through integration; of course, any other integration method, such as weighted averaging, etc., may be adopted, and the description is not limited thereto.
In addition to generating the main vector of each group, the average speed, the average moving distance and the average difference angle corresponding to each group can be generated according to the track vector in each group. Where the velocity of the track vector is determined according to the velocity of the same track, the corresponding average velocity may be calculated according to the velocity of each track vector in the same group, as the velocity of the main vector corresponding to the group.
Taking three track vectors with values of 17, 18 and 26 in an angle range of-45 degrees to 45 degrees and a principal vector with a value of 17.59 as an example: when calculating the average moving distance, the projection distances of the three trajectory vectors on the principal vector can be respectively determined, and the average projection distance is taken as the average moving distance; accordingly, the average moving distance may be calculated by the following formula:
wherein D represents the average moving distance, DiRepresents the projection distance, q, corresponding to the ith track vectoriAnd representing the value of the ith track vector.
Still take three trajectory vectors with values of 17, 18 and 26 respectively in an angle range of-45 degrees to 45 degrees and a principal vector with a value of 17.59 as an example: in calculating the average difference angle, the difference angles (i.e., angle differences) between the three trajectory vectors and the main vector may be respectively determined, and then an average of the three difference angles, i.e., the average difference angle corresponding to the main vector, may be calculated. When the average difference angle obtained by actual calculation is too small, subsequent diffusion processing may be affected (there may be no matching mesh, which may result in no diffusion), so that the minimum angle may be set, and when the average difference angle obtained by actual calculation is smaller than the minimum angle, the average difference angle is assigned as the minimum angle.
Based on the above description, for the four principal vectors as shown in fig. 7, the velocity of each principal vector (the direction and value of the principal vector are already determined), the average moving distance, and the average difference angle may be determined, respectively, wherein the diffusion process for the corresponding principal vector may be implemented by at least the average moving distance and the average difference angle.
Fig. 8 is a schematic diagram of a diffusion process performed on a principal vector of a single trace point according to an exemplary embodiment. Firstly, a flow field range for diffusing the four main vectors of the trace point O is determined, for example, a grid area with a width of 10 and a height of 9 as shown in fig. 8 can be determined according to the maximum width and the maximum height of all trace vectors (as shown in fig. 5) corresponding to the trace point O, so that it is only necessary to determine whether the 90 grids are affected by the four main vectors subsequently, and it is not necessary to determine other grids, and the diffusion processing efficiency can be improved.
In one embodiment, whether each grid is affected by any of the principal vectors may be determined based on two conditions:
1) the distance between the grid center point and the track point O is smaller than the average moving distance D corresponding to the main vector X;
2) and for a vector Y of the grid center point pointing to the track point O, an included angle beta is formed between the vector Y and the main vector X, and the included angle is smaller than the average difference angle delta theta corresponding to the main vector X.
Wherein, in the case where the principal vector X is an outbound vector, the determination condition 2) may be satisfied in the case of cos (β) > cos ([ delta ] θ); in the case where the main vector X is an input vector, the determination condition 2) may be satisfied in the case of cos (β) < -cos ([ delta ] θ).
When a certain grid satisfies the above two conditions at the same time, it can be determined that the grid is affected by the radiation of the principal vector X, and the principal vector X needs to be diffused to the grid. In fact, the two conditions respectively limit the relative position relationship between the grids and the principal vectors in terms of distance and angle, and then taking the principal vector with a value of 17.59 as an example, the above conditions are equivalent to forming an arc-shaped area drawn by a dotted line in fig. 8, and it is considered that the grids with the center points located in the arc-shaped area are all affected by the principal vector with the value of 17.59.
For example, when the grid affected by the radiation of the principal vector having the value of 17.59 is determined to be several grids on the right side of rows 5-6, corresponding diffusion vectors, i.e., small arrows drawn in the corresponding grid in fig. 8, can be formed in the grids. The direction of the diffusion vector is consistent with the corresponding main vector, so that the small arrows in the arc-shaped area in fig. 8 are consistent with the arrow direction of the main vector with the value of 17.59; the velocity of the diffusion vector is consistent with the corresponding principal vector; values of the diffusion vectors are obtained by diffusion of corresponding principal vectors, and values of the diffusion vectors are sequentially decreased according to a sequence of distances between each grid and the trace point O from near to far, for example, the values may be decreased according to gaussian distribution or other manners, which is not limited in the present specification.
Similarly, for each principal vector, the grid affected by its radiation can be determined and the principal vectors can be diffused into the corresponding grids. For example, by diffusing four principal vectors corresponding to the trace point O, a flow field region as shown in fig. 8 can be obtained. Wherein an arrow is shown within the partially affected grid indicating being affected by only one principal vector; while a plurality of arrows are shown within the partially affected grid indicating that it is affected by a plurality of principal vectors.
Based on the above manner, the acquired trajectory data may be processed to diffuse the trajectory data corresponding to each trajectory point into the flow field to form a diffusion vector such as that shown in fig. 8; then, the diffusion vectors corresponding to the respective trace points are combined, all diffusion vectors in each grid can be determined, all diffusion vectors in each grid are integrated (for example, a mean vector is calculated) respectively, a visual flow field as shown in fig. 9 is finally formed, and the traffic condition in the urban traffic scene is represented by the diffusion vectors in each grid (obtained directly or obtained through integration).
Wherein, within the visualized flow field as shown in fig. 9, based on the diffusion vector in the form of an arrow, the flow direction of the traffic flow can be represented; further, the presentation attributes of the respective diffusion vectors may be configured to express more information. For example, the length, width, color type, color depth, etc. of the diffusion vector may be set to represent the difference in the value, speed, etc. of the diffusion vector.
In addition, the visualized flow field shown in fig. 9 may be a static image or a dynamic image, for example, by dynamically showing the diffusion vector, the speed change is reflected, and the like, which is not limited in this specification.
FIG. 10 is a schematic block diagram of an apparatus provided in an exemplary embodiment. Referring to fig. 10, at the hardware level, the apparatus includes a processor 1002, an internal bus 1004, a network interface 1006, a memory 1008, and a non-volatile memory 1010, although it may also include hardware required for other services. The processor 1002 reads a corresponding computer program from the non-volatile memory 1010 to the memory 1008 and then runs the computer program to form a visualization display device of the track data on a logic level. Of course, besides software implementation, the one or more embodiments in this specification do not exclude other implementations, such as logic devices or combinations of software and hardware, and so on, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
Referring to fig. 11, in a software implementation, the trajectory data visualization device may include:
the trajectory determination unit 1101 determines trajectories formed between any one trajectory point and other trajectory points according to trajectory data to be displayed, so as to aggregate the formed trajectories into trajectory vectors;
a grouping unit 1102, which divides the trajectory vectors into a plurality of groups to integrate the trajectory vectors of at least a part of the groups into corresponding main vectors;
a diffusion unit 1103, which diffuses the principal vectors into diffusion vectors in corresponding visualization display areas within the flow field, respectively.
Optionally, a plurality of angle ranges without repeated intervals are formed between a plurality of directions passing through any of the track points, wherein the track vectors within the same angle range are divided into the same group.
Optionally, the plurality of angular ranges are of the same size.
Optionally, the principal vectors corresponding to any group include: a mean vector of the trajectory vectors of any one of the groups.
Optionally, the diffusion unit 1103 is specifically configured to:
determining radiation judgment conditions corresponding to the main vectors according to the relative position relation between the main vectors and the track vectors in the group to which the main vectors belong;
determining the visual display areas corresponding to the main vectors in the flow field according to the satisfaction conditions of the visual display areas in the flow field to the radiation judgment conditions corresponding to the main vectors;
and diffusing each main vector into the corresponding visual display area to form a corresponding diffusion vector.
Optionally, the radiation judgment condition corresponding to any principal vector includes: the average moving distance is not greater than the average moving distance of the track vectors in the group to which the any main vector belongs, and the average moving distance is the average distance of the projection formed by the track vectors in the group to which the any main vector belongs on the any main vector;
the diffusion unit 1103 determines a visualization display area corresponding to each principal vector in the flow field by the following means, including:
determining the spacing distance between the central point of any visual display area and any track point;
and judging the satisfaction condition of the any visual display area to the radiation judgment condition corresponding to the any principal vector according to the numerical relation between the interval distance and the average moving distance.
Optionally, the radiation judgment condition corresponding to any principal vector includes: the average difference angle is not larger than the average difference angle of the track vectors in the group to which any main vector belongs, and the average difference angle is the average angle of an included angle formed between the track vector in the group to which any main vector belongs and any main vector;
the diffusion unit 1103 determines a visualization display area corresponding to each principal vector in the flow field by the following means, including:
determining a vector included angle between a vector of a central point of any visual display area pointing to any track point and any main vector;
and judging the satisfaction condition of any visual display area to the radiation judgment condition corresponding to any main vector according to the numerical relation between the vector included angle and the average difference angle.
Optionally, the method further includes:
and the area determining unit 1104 is used for determining the occupied area of the track vector corresponding to any track point in the flow field so as to determine the visualization display area corresponding to each main vector in the occupied area.
Optionally, when any main vector is diffused to a plurality of visualization display areas, the value of the diffusion vector corresponding to the plurality of visualization display areas is negatively related to the distance between the plurality of visualization display areas and any trace point.
Optionally, the value of the trajectory vector is related to the number of trajectories used for aggregating to form the trajectory vector.
Optionally, the method further includes:
the screening unit 1105 screens out a trajectory vector whose value is smaller than a preset value to generate the principal vector through the remaining trajectory vectors.
Optionally, the method further includes:
the merging unit 1106 merges a plurality of diffusion vectors when the plurality of diffusion vectors exist in the same visualization display area.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. A typical implementation device is a computer, which may take the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email messaging device, game console, tablet computer, wearable device, or a combination of any of these devices.
In a typical configuration, a computer includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage, quantum memory, graphene-based storage media or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in one or more embodiments of the present description to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of one or more embodiments herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The above description is only for the purpose of illustrating the preferred embodiments of the one or more embodiments of the present disclosure, and is not intended to limit the scope of the one or more embodiments of the present disclosure, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the one or more embodiments of the present disclosure should be included in the scope of the one or more embodiments of the present disclosure.
Claims (22)
1. A visual display method of track data is characterized by comprising the following steps:
determining a track formed between any track point and other track points according to the track data to be displayed, and aggregating the formed track into a track vector;
dividing the track vectors into a plurality of groups to respectively integrate the track vectors of at least one part of groups into corresponding main vectors;
diffusing the principal vectors into diffusion vectors in corresponding visualization display areas in the flow field, respectively, including:
determining a radiation judgment condition corresponding to each main vector according to the relative position relation between each main vector and the track vector in the group to which the main vector belongs, wherein the radiation judgment condition is used for judging a visual display area influenced by the radiation of the corresponding main vector;
determining the visual display areas corresponding to the main vectors in the flow field according to the satisfaction conditions of the visual display areas in the flow field to the radiation judgment conditions corresponding to the main vectors; when any visual display area meets the radiation judgment condition corresponding to any principal vector, the fact that any visual display area is affected by the radiation of any principal vector is indicated;
and diffusing each main vector into the corresponding visual display area to form a corresponding diffusion vector.
2. The method of claim 1, wherein a plurality of angular ranges without repeating intervals are formed between directions passing through any of the trajectory points, wherein trajectory vectors within the same angular range are divided into the same group.
3. The method of claim 2, wherein the plurality of angular ranges are uniform in size.
4. The method of claim 1, wherein the principal vectors corresponding to any one of the sets comprise: a mean vector of the trajectory vectors of any one of the groups.
5. The method of claim 1, wherein the radiation determination condition for any principal vector comprises: the average moving distance is not greater than the average moving distance of the track vectors in the group to which the any main vector belongs, and the average moving distance is the average distance of the projection formed by the track vectors in the group to which the any main vector belongs on the any main vector;
the determining the visual display areas corresponding to the principal vectors in the flow field according to the satisfaction of the radiation judgment conditions corresponding to the principal vectors by the visual display areas in the flow field includes:
determining the spacing distance between the central point of any visual display area and any track point;
and judging the satisfaction condition of the any visual display area to the radiation judgment condition corresponding to the any principal vector according to the numerical relation between the interval distance and the average moving distance.
6. The method of claim 1, wherein the radiation determination condition for any principal vector comprises: the average difference angle is not larger than the average difference angle of the track vectors in the group to which any main vector belongs, and the average difference angle is the average angle of an included angle formed between the track vector in the group to which any main vector belongs and any main vector;
the determining the visual display areas corresponding to the principal vectors in the flow field according to the satisfaction of the radiation judgment conditions corresponding to the principal vectors by the visual display areas in the flow field includes:
determining a vector included angle between a vector of a central point of any visual display area pointing to any track point and any main vector;
and judging the satisfaction condition of any visual display area to the radiation judgment condition corresponding to any main vector according to the numerical relation between the vector included angle and the average difference angle.
7. The method of claim 1, further comprising:
and determining the occupied area of the track vector corresponding to any track point in the flow field so as to determine the visualization display area corresponding to each main vector in the occupied area.
8. The method according to claim 1, wherein when any main vector is diffused to a plurality of visualization display areas, values of diffusion vectors corresponding to the visualization display areas are negatively related to a separation distance between the visualization display areas and any trajectory point.
9. The method of claim 1, wherein the value of the trajectory vector is related to a number of trajectories used to aggregate to form the trajectory vector.
10. The method of claim 1, further comprising:
and screening out the track vectors with the values smaller than a preset value so as to generate the main vector through the rest track vectors.
11. The method of claim 1, further comprising:
and when a plurality of diffusion vectors exist in the same visual display area, merging the plurality of diffusion vectors.
12. A visual display device of trajectory data is characterized by comprising:
the track determining unit is used for determining a track formed between any track point and other track points according to the track data to be displayed so as to aggregate the formed track into a track vector;
the grouping unit is used for dividing the track vectors into a plurality of groups so as to integrate the track vectors of at least one part of groups into corresponding main vectors;
the diffusion unit is used for diffusing the main vectors into diffusion vectors in corresponding visual display areas in the flow field respectively;
wherein the diffusion unit is specifically configured to:
determining a radiation judgment condition corresponding to each main vector according to the relative position relation between each main vector and the track vector in the group to which the main vector belongs, wherein the radiation judgment condition is used for identifying a visual display area influenced by the radiation of the corresponding main vector;
determining the visual display areas corresponding to the main vectors in the flow field according to the satisfaction conditions of the visual display areas in the flow field to the radiation judgment conditions corresponding to the main vectors; when any visual display area meets the radiation judgment condition corresponding to any principal vector, the fact that any visual display area is affected by the radiation of any principal vector is indicated;
and diffusing each main vector into the corresponding visual display area to form a corresponding diffusion vector.
13. The apparatus of claim 12, wherein a plurality of angular ranges without repeating intervals are formed between directions passing through any of the trajectory points, wherein trajectory vectors within the same angular range are divided into the same group.
14. The apparatus of claim 13, wherein the plurality of angular ranges are uniform in size.
15. The apparatus of claim 12, wherein the principal vectors corresponding to any one of the groups comprise: a mean vector of the trajectory vectors of any one of the groups.
16. The apparatus of claim 12, wherein the radiation determination condition for any principal vector comprises: the average moving distance is not greater than the average moving distance of the track vectors in the group to which the any main vector belongs, and the average moving distance is the average distance of the projection formed by the track vectors in the group to which the any main vector belongs on the any main vector;
the diffusion unit determines a visualization display area corresponding to each principal vector in the flow field by:
determining the spacing distance between the central point of any visual display area and any track point;
and judging the satisfaction condition of the any visual display area to the radiation judgment condition corresponding to the any principal vector according to the numerical relation between the interval distance and the average moving distance.
17. The apparatus of claim 12, wherein the radiation determination condition for any principal vector comprises: the average difference angle is not larger than the average difference angle of the track vectors in the group to which any main vector belongs, and the average difference angle is the average angle of an included angle formed between the track vector in the group to which any main vector belongs and any main vector;
the diffusion unit determines a visualization display area corresponding to each principal vector in the flow field by:
determining a vector included angle between a vector of a central point of any visual display area pointing to any track point and any main vector;
and judging the satisfaction condition of any visual display area to the radiation judgment condition corresponding to any main vector according to the numerical relation between the vector included angle and the average difference angle.
18. The apparatus of claim 12, further comprising:
and the area determining unit is used for determining the occupied area of the track vector corresponding to any track point in the flow field so as to determine the visual display area corresponding to each main vector in the occupied area.
19. The apparatus according to claim 12, wherein when any main vector is diffused to a plurality of visualization display areas, values of diffusion vectors corresponding to the plurality of visualization display areas are negatively related to a separation distance between the plurality of visualization display areas and any trajectory point.
20. The apparatus of claim 12, wherein the value of the trajectory vector is related to a number of trajectories used to aggregate to form the trajectory vector.
21. The apparatus of claim 12, further comprising:
and the screening unit screens out the track vectors with the values smaller than the preset values so as to generate the main vector through the residual track vectors.
22. The apparatus of claim 12, further comprising:
and the merging unit is used for merging the plurality of diffusion vectors when the plurality of diffusion vectors exist in the same visual display area.
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| CN111159511A (en) * | 2019-12-17 | 2020-05-15 | 浙江大华技术股份有限公司 | Method and device for processing track data and computer storage medium |
| CN111241167B (en) * | 2020-01-15 | 2020-09-01 | 广东省城乡规划设计研究院 | Large-data-volume space-time data visualization method |
| CN113806607B (en) * | 2021-09-28 | 2022-12-02 | 重庆紫光华山智安科技有限公司 | Track display method and device, electronic equipment and storage medium |
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