Traffic circle analysis method and device

Abstract

The invention provides a traffic circle analysis method and equipment, and relates to the technical field of traffic. The method comprises the following steps: acquiring traffic configuration data of a preset traffic travel mode in a target area; according to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is adopted for calculation, a first measurement result of the target area is obtained, and the first measurement result comprises a shortest travel matrix table of a preset traffic travel mode, the shortest travel matrix table records the shortest travel time between every two administrative division areas in a plurality of administrative division areas in the target area; and according to the shortest travel matrix table of the preset traffic travel mode and the administrative map of the target area, by taking the target administrative division area as a center, constructing a traffic time circle map of the target administrative division area in the target area under the preset traffic travel mode. Therefore, the display form of the traffic circle is diversified, and the user can know the traffic circle of the target area more conveniently.

Description

Technical Field

[0001] The present invention relates to the field of traffic technology, and in particular to a traffic circle analysis method and device. Background Art

[0002] In geography, the "traffic circle" refers to the traffic attraction range of various central places, which is the accessible range within a certain period of time with a certain place as the center. In geography, the concept of "traffic circle" includes two dimensions of time and space. In a broad sense, the "traffic circle" refers to the regional range reached from a certain central place through a certain measurement scale.

[0003] In the prior art, there are a large number of solutions for generating traffic circles. However, the data display of most solutions is not comprehensive enough to enable people to view the traffic circle intuitively. Summary of the invention

[0004] The object of the present invention is to provide a traffic circle analysis method and device to address the deficiencies in the prior art, so as to solve the problem that the prior art cannot enable people to intuitively view the traffic circle.

[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows: In a first aspect, an embodiment of the present application provides a traffic circle analysis method, the method comprising: Obtaining traffic configuration data of preset transportation modes in the target area; According to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is used to calculate to obtain a first measurement result of the target area, wherein the first measurement result includes: a shortest travel matrix table of the preset traffic travel mode, wherein the shortest travel matrix table records: the shortest travel time between each two administrative division areas in a plurality of administrative division areas in the target area; According to the shortest travel matrix table of the preset transportation mode and the administrative map of the target area, a traffic time circle diagram of the target administrative area in the target area under the preset transportation mode is constructed with the target administrative area as the center, and the traffic time circle diagram records the area range reached by the preset transportation mode within a preset time period with the target administrative area as the center.

[0006] Optionally, the preset transportation mode includes: road travel mode; The traffic configuration data of the highway travel mode includes: highway network data of the target area; The step of calculating according to the traffic configuration data using a first measurement model in a preset traffic circle analysis model to obtain a first measurement result of the target area includes: According to the highway network data of the target area, the first measurement model is used to calculate to obtain a first shortest travel matrix table of the highway travel mode, wherein the first measurement result includes: the first shortest travel matrix table; The method of constructing a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, with the target administrative area as the center, includes: According to the first shortest travel matrix table and the administrative map of the target area, a first traffic time circle diagram of the target administrative area under the highway travel mode is constructed with the target administrative area as the center.

[0007] Optionally, the preset transportation mode further includes: a railway travel mode, and the transportation configuration data of the railway travel mode includes: railway station data of the target area; The step of calculating according to the traffic configuration data using a first measurement model in a preset traffic circle analysis model to obtain a first measurement result of the target area includes: The first measurement model is used to calculate the second shortest travel matrix table of the railway travel mode according to the railway station data of the target area, and the first measurement result also includes: the second shortest travel matrix table; The method of constructing a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, with the target administrative area as the center, includes: According to the second shortest travel matrix table and the administrative map of the target area, a second traffic time circle diagram of the target administrative area under the railway travel mode is constructed with the target administrative area as the center.

[0008] Optionally, the step of calculating, according to the traffic configuration data, using a first measurement model in a preset traffic circle analysis model to obtain a first measurement result of the target area further includes: According to the first shortest travel matrix table and the second shortest travel matrix table, the first measurement model is used to calculate to obtain a third shortest travel matrix table of the comprehensive travel mode, wherein the first measurement result further includes: the third shortest travel matrix table; The method of constructing a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area with the target administrative area as the center also includes: According to the third shortest travel matrix table and the administrative map of the target area, a third traffic time circle diagram of the target administrative area under the comprehensive travel mode is constructed with the target administrative area as the center.

[0009] Optionally, the method further comprises: According to the traffic time circle diagrams of the plurality of target administrative divisions under the preset traffic travel mode, the second measurement model in the preset traffic circle analysis model is used to calculate and obtain the traffic travel integration index of the plurality of administrative divisions, wherein the traffic travel integration index of each administrative division includes: the traffic travel integration index of each administrative division relative to the plurality of target administrative divisions; A traffic integration spatial map of the target area is constructed according to the traffic integration indexes of the multiple administrative divisions.

[0010] Optionally, the method further comprises: According to the first shortest travel matrix table, a first spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area to obtain a first spatiotemporal connectivity feature map of the target area under the highway travel mode, wherein the first spatiotemporal connectivity feature map displays: information on the shortest travel time between every two administrative division areas under the highway travel mode; According to the second shortest travel matrix table, a second spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area to obtain a second spatiotemporal connectivity feature map of the target area under the railway travel mode, wherein the second spatiotemporal connectivity feature map displays: information on the shortest travel time between every two administrative division areas under the railway travel mode; According to the third shortest travel matrix table, a third spatiotemporal connectivity analysis is performed on the administrative divisions of the target area to obtain a third spatiotemporal connectivity feature map of the target area under the comprehensive travel mode. The third spatiotemporal connectivity feature map shows: information on the shortest travel time between every two administrative divisions under the comprehensive travel mode.

[0011] Optionally, the connecting line segment between each two administrative division areas in the first spatiotemporal connectivity feature graph is: a connecting line segment corresponding to a display parameter of the shortest travel time between each two administrative division areas under the highway travel mode; The connecting line segment between each two administrative division areas in the second spatiotemporal connectivity feature graph is: the connecting line segment corresponding to the display parameter of the shortest travel time between each two administrative division areas under the railway travel mode; The connecting line segments between every two administrative divisions in the third spatiotemporal connectivity feature map are: connecting line segments corresponding to display parameters of the shortest travel time between every two administrative divisions under the comprehensive travel mode.

[0012] Optionally, the method further comprises: Updating the highway network data of the target area according to the highway network data planned to be opened within a first preset future time period; According to the updated highway network data, the first measurement model is used to recalculate to obtain a new first shortest travel matrix table under the highway travel mode; According to the new first shortest travel matrix table and the administrative map of the target area, taking the target administrative division area as the center, reconstructing a new first traffic time circle diagram of the target administrative division area under the highway travel mode; According to the new first shortest travel matrix table, re-performing a first spatiotemporal connectivity analysis on the administrative division area of ​​the target area to obtain a new first spatiotemporal connectivity feature map of the target area under the highway travel mode; According to the new traffic time circle diagrams of the plurality of target administrative divisions under the highway travel mode, the second measurement model is used to recalculate to obtain new traffic travel integration indexes of the plurality of administrative divisions; According to the new transportation integration indexes of the multiple administrative divisions, the transportation integration spatial map of the target area is reconstructed.

[0013] Optionally, the method further comprises: updating the railway station data of the target area according to the railway station data planned to be opened in a second preset future time period; According to the updated railway station data, the first measurement model is used to recalculate to obtain a new second shortest travel matrix table under the railway travel mode; According to the new second shortest travel matrix table and the administrative map of the target area, taking the target administrative division area as the center, reconstructing a new second traffic time circle diagram of the target administrative division area under the highway travel mode; According to the new second shortest travel matrix table, re-performing a second spatiotemporal connectivity analysis on the administrative division area of ​​the target area to obtain a new second spatiotemporal connectivity feature map of the target area under the railway travel mode; According to the new traffic time circle diagrams of the plurality of target administrative divisions under the railway travel mode, the second measurement model is used to recalculate to obtain new traffic travel integration indexes of the plurality of administrative divisions; According to the new transportation integration indexes of the multiple administrative divisions, the transportation integration spatial map of the target area is reconstructed.

[0014] In a second aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a storage medium, wherein the processor and the storage medium are communicatively connected via a bus, the storage medium stores program instructions executable by the processor, and the processor calls the program stored in the storage medium to execute the steps of the traffic circle analysis method as described in any one of the first aspects.

[0015] Compared with the prior art, this application has the following beneficial effects: The present application provides a traffic circle analysis method and device. The method obtains the traffic configuration data of the preset traffic travel mode in the target area; according to the traffic configuration data, the first measurement model in the preset traffic circle analysis model is used for calculation to obtain the first measurement result of the target area, and the first measurement result includes: the shortest travel matrix table of the preset traffic travel mode, and the shortest travel matrix table records: the shortest travel time between each two administrative divisions in multiple administrative divisions in the target area; according to the shortest travel matrix table of the preset traffic travel mode and the administrative map of the target area, with the target administrative division area as the center, a traffic time circle diagram of the target administrative division area in the target area under the preset traffic travel mode is constructed, and the traffic time circle diagram records the area range reached within the preset time period according to the preset traffic travel mode with the target administrative division area as the center. Thus, by constructing the traffic time circle diagram, quantitative traffic planning analysis is realized, the display form of the traffic circle is diversified, and users can more conveniently understand the traffic circle of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A flow chart of a traffic circle analysis method provided in an embodiment of the present application; Figure 2 A schematic diagram of a flow chart of a highway traffic circle analysis method provided in an embodiment of the present application; Figure 3 A first traffic time circle diagram of City C provided in an embodiment of the present application; Figure 4 A schematic diagram of a flow chart of a railway traffic circle analysis method provided in an embodiment of the present application; Figure 5 A second traffic time circle diagram of City C provided in an embodiment of the present application; Figure 6A schematic diagram of a flow chart of a comprehensive traffic circle analysis method provided in an embodiment of the present application; Figure 7 A third traffic time circle diagram of City C provided in an embodiment of the present application; Figure 8 A schematic diagram of a flow chart of a method for constructing a traffic integration spatial graph provided in an embodiment of the present application; Fig. 9 The traffic integration spatial diagram of the Z area provided in the embodiment of the present application; Fig.10 A schematic diagram of a process for constructing a spatiotemporal connectivity feature map provided in an embodiment of the present application; Fig.11 A first spatiotemporal connectivity feature map of the Z region provided in an embodiment of the present application; Fig.12 A second spatiotemporal connectivity feature map of the Z region provided in an embodiment of the present application; Fig.13 A schematic diagram of a flow chart of a method for updating a highway traffic circle provided in an embodiment of the present application; Fig.14 A schematic diagram of a flow chart of a railway traffic circle updating method provided in an embodiment of the present application; Fig.15 A schematic diagram of a traffic circle analysis device provided in an embodiment of the present application; Fig.16 A schematic diagram of an electronic device provided in an embodiment of the present application.

[0018] Icons: 1501 - acquisition module, 1502 - calculation module, 1503 - construction module, 1601 - processor, 1602 - storage medium. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0021] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0022] In addition, the terms “first”, “second”, etc., if used, are merely used to distinguish between the descriptions and should not be understood as indicating or implying relative importance.

[0023] It should be noted that, in the absence of conflict, the features in the embodiments of the present invention may be combined with each other.

[0024] A traffic circle analysis method provided by the present application is explained below through a specific example. Figure 1 The flow chart of a traffic circle analysis method provided in an embodiment of the present application is shown in FIG. The execution subject of the method may be an electronic device, which may be a device with computing and processing functions, such as a desktop computer, a laptop computer, etc. Figure 1 As shown, the method includes: S101, obtaining traffic configuration data of preset traffic modes in a target area.

[0025] For example, the target area may be an administrative area, such as a certain province, or a natural area, such as the northwest region, the central plains region, or the northeast region.

[0026] For example, the traffic configuration data includes: highway traffic network data of each prefecture-level city or county (city, district) in the target area, relevant railway traffic timetables, and data on the location of local administrative centers.

[0027] For example, traffic network data comes from regional measurement and science institutes, the 12306 official website, Baidu Maps, and Amap.

[0028] Through traffic configuration data, the traffic distance and traffic speed between any two places can be known.

[0029] S102. According to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is used to perform calculations to obtain a first measurement result of the target area; the first measurement result includes: a shortest travel matrix table of a preset traffic travel mode.

[0030] The shortest travel matrix table records: the shortest travel time between each two administrative division areas in multiple administrative division areas in the target area.

[0031] According to at least one travel route between every two administrative divisions in the traffic configuration data and the average speed corresponding to the travel route, at least one travel time between every two administrative divisions is calculated, and the shortest travel time is obtained by comparison.

[0032] Among them, the departure and destination of the travel route are both the local administrative center.

[0033] The shortest travel time between every two administrative divisions constitutes the shortest travel matrix table.

[0034] S103. Based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode is constructed with the target administrative area as the center.

[0035] The traffic time circle map records the area scope reached within a preset time period according to the preset traffic travel mode with the target administrative area as the center.

[0036] For example, with the help of spatial analysis platforms such as ArcGIS, spatial difference processing is carried out to construct traffic isochrone zones with a target administrative division area (each county (city, district)) as the center and a 30-minute interval, which intuitively reflects the spatial and temporal reach of the central city and its morphological characteristics.

[0037] For example, in a traffic time circle diagram, areas within the same time circle range have the same color, which is convenient for users to view.

[0038] By constructing a traffic time circle diagram, quantitative traffic planning analysis is achieved, the display of traffic circles is diversified, and users can understand the traffic circle of the target area more conveniently.

[0039] In summary, in this embodiment, the traffic configuration data of the preset traffic mode in the target area is obtained; according to the traffic configuration data, the first measurement model in the preset traffic circle analysis model is used for calculation to obtain the first measurement result of the target area, and the first measurement result includes: the shortest travel matrix table of the preset traffic mode, and the shortest travel matrix table records: the shortest travel time between each two administrative divisions in multiple administrative divisions in the target area; according to the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, with the target administrative division area as the center, a traffic time circle diagram of the target administrative division area in the target area under the preset traffic mode is constructed, and the traffic time circle diagram records the area range reached within the preset time period according to the preset traffic mode with the target administrative division area as the center. Therefore, by constructing the traffic time circle diagram, quantitative traffic planning analysis is realized, the display form of the traffic circle is diversified, and the user can more conveniently understand the traffic circle of the target area.

[0040] In the above Figure 1 On the basis of the corresponding embodiments, the embodiments of the present application also provide a highway traffic circle analysis method for explanation. Figure 2 A schematic diagram of a highway traffic circle analysis method provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the preset transportation modes include: road travel mode; the traffic configuration data of the road travel mode includes: road network data of the target area.

[0041] In S102, according to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is used to perform calculations to obtain a first measurement result of the target area, including: S201. According to the highway network data of the target area, a first measurement model is used to perform calculations to obtain a first shortest travel matrix table of highway travel modes. The first measurement result includes: a first shortest travel matrix table.

[0042] At least one travel time between every two administrative divisions is calculated based on at least one highway travel route between every two administrative divisions in the highway network data and the average speed corresponding to the highway travel route. Based on at least one travel time between every two administrative divisions, the shortest travel time between every two administrative divisions is obtained by comparison, and the shortest travel time is determined as the first shortest travel time.

[0043] For example, if the road travel route includes: expressways and national roads, the travel time is calculated using different speeds for each section. For example, the average speed of the expressway is 80 km / h, and the average speed of the national road is 60 km / h.

[0044] The shortest travel time between every two administrative divisions constitutes the shortest travel matrix table.

[0045] For example, the following Table 1 is the first shortest travel matrix table of City C provided in an embodiment of the present application.

[0046]

[0047] Table 1 In S103, based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode is constructed with the target administrative area as the center, including: S202. Based on the first shortest travel matrix table and the administrative map of the target area, a first traffic time circle diagram of the target administrative area under the highway travel mode is constructed with the target administrative area as the center.

[0048] For example, with the help of ArcGIS and other spatial analysis platforms, spatial difference processing is performed to construct the first traffic isochronous circles with the target administrative division area (county (city, district)) as the center and 30 minutes as the interval, which directly reflects the reachable range and morphological characteristics of the central city through highway travel in time and space. In the traffic time circle map, the areas within the same time circle range have the same color, which is convenient for users to view.

[0049] For example, Figure 3 The first traffic time circle diagram of City C provided in an embodiment of the present application.

[0050] In summary, in this embodiment, the preset traffic travel mode includes: highway travel mode; the traffic configuration data of the highway travel mode includes: highway network data of the target area; according to the highway network data of the target area, the first measurement model is used to calculate to obtain the first shortest travel matrix table of the highway travel mode, and the first measurement result includes: the first shortest travel matrix table; according to the first shortest travel matrix table and the administrative map of the target area, the first traffic time circle diagram of the target administrative division area under the highway travel mode is constructed with the target administrative division area as the center. Therefore, by constructing the first traffic time circle diagram, quantitative traffic planning analysis is realized, the display form of the highway traffic circle is diversified, and users can more conveniently understand the highway traffic circle of the target area.

[0051] In the above Figure 2 On the basis of the corresponding embodiments, the embodiments of the present application also provide a railway traffic circle analysis method for explanation. Figure 4 A flow chart of a railway traffic circle analysis method provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the preset transportation mode also includes: railway travel mode, and the transportation configuration data of the railway travel mode includes: railway station data of the target area; In S102, according to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is used to perform calculations to obtain a first measurement result of the target area, including: S301. According to the railway station data of the target area, a first measurement model is used to perform calculations to obtain a second shortest travel matrix table of railway travel modes.

[0052] The first measurement result also includes: a second shortest travel matrix table.

[0053] Based on at least one railway travel route between every two administrative divisions in the railway network data and the average speed corresponding to the railway travel route, at least one travel time between every two administrative divisions is calculated, and the second shortest travel time is obtained by comparison.

[0054] The second shortest travel time between every two administrative divisions constitutes the second shortest travel matrix table.

[0055] For example, the following Table 2 is the second shortest travel matrix table of City C provided in an embodiment of the present application.

[0056]

[0057] Table 2 In S103, based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode is constructed with the target administrative area as the center, including: S302. Based on the second shortest travel matrix table and the administrative map of the target area, a second traffic time circle diagram of the target administrative area under the railway travel mode is constructed with the target administrative area as the center.

[0058] For example, with the help of ArcGIS and other spatial analysis platforms, spatial difference processing is performed to construct the second traffic isochronous circles with the target administrative division area (county (city, district)) as the center and 30 minutes as the interval, which directly reflects the reachable range and morphological characteristics of the central city through space-time railway travel. In the traffic time circle map, the areas within the same time circle range have the same color, which is convenient for users to view.

[0059] For example, Figure 5 The second traffic time circle diagram of City C provided in an embodiment of the present application.

[0060] In summary, in this embodiment, the preset transportation mode also includes: railway travel mode, and the traffic configuration data of the highway travel mode includes: railway station data of the target area; according to the railway station data of the target area, the first measurement model is used for calculation to obtain the second shortest travel matrix table of the railway travel mode, and the first measurement result also includes: the second shortest travel matrix table; according to the second shortest travel matrix table and the administrative map of the target area, with the target administrative division area as the center, the second traffic time circle diagram of the target administrative division area under the railway travel mode is constructed. Therefore, by constructing the second traffic time circle diagram, quantitative traffic planning analysis is realized, the display form of the railway traffic circle is diversified, and users can more conveniently understand the railway traffic circle of the target area.

[0061] In the above Figure 4 On the basis of the corresponding embodiments, the embodiments of the present application also provide a comprehensive traffic circle analysis method for explanation. Figure 6 A flow chart of a comprehensive traffic circle analysis method provided in an embodiment of the present application is shown in FIG. Figure 6As shown, in S102, according to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is used to perform calculation to obtain a first measurement result of the target area, and further includes: S401. According to the first shortest travel matrix table and the second shortest travel matrix table, a first measurement model is used to perform calculations to obtain a third shortest travel matrix table of the comprehensive travel mode.

[0062] The first measurement result also includes: the third shortest travel matrix table. The comprehensive travel mode includes both road travel mode and railway travel mode.

[0063] According to the first shortest travel matrix table and the second shortest travel matrix table, the third shortest travel matrix table is calculated. Among them, in the first shortest travel matrix table, the shortest reachable time from county (city, district) i to j by road is ; In the second shortest travel matrix table, the shortest travel time from county (city, district) i to j by rail is ; The comprehensive shortest travel time from county (city, district) i to j is .

[0064] Then we have the following formula (1): (1) in, Indicates taking the minimum value.

[0065] For example, the following Table 3 is the third shortest travel matrix table of City C provided in an embodiment of the present application.

[0066]

[0067] Table 3 In S103, based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, a traffic time circle map of the target administrative area in the target area under the preset traffic mode is constructed with the target administrative area as the center, which also includes: S402. Based on the third shortest travel matrix table and the administrative map of the target area, a third traffic time circle map of the target administrative area under the comprehensive travel mode is constructed with the target administrative area as the center.

[0068] For example, with the help of ArcGIS and other spatial analysis platforms, spatial difference processing is performed to construct the third traffic isochronous circles with the target administrative division area (county (city, district)) as the center and 30 minutes as the interval, which directly reflects the reachable range and morphological characteristics of the central city through the integrated travel mode of time and space. In the traffic time circle map, the areas within the same time circle range have the same color, which is convenient for users to view.

[0069] For example, Figure 7 The third traffic time circle diagram of City C provided in the embodiment of the present application.

[0070] In summary, in this embodiment, according to the first shortest travel matrix table and the second shortest travel matrix table, the first measurement model is used for calculation to obtain the third shortest travel matrix table of the comprehensive travel mode, and the first measurement result also includes: the third shortest travel matrix table; according to the third shortest travel matrix table and the administrative map of the target area, with the target administrative division area as the center, the third traffic time circle diagram of the target administrative division area under the comprehensive travel mode is constructed. Therefore, by constructing the third traffic time circle diagram, users can more conveniently understand the traffic circle of the target area.

[0071] In the above Figure 1 On the basis of the corresponding embodiments, the embodiments of the present application also provide a method for constructing a traffic integrated spatial map for explanation. Figure 8 A flow chart of a method for constructing a traffic integrated spatial graph provided in an embodiment of the present application is shown in FIG. Figure 8 As shown, the method also includes: S501. According to the traffic time circle diagrams of multiple target administrative divisions under the preset traffic travel mode, the second measurement model in the preset traffic circle analysis model is used to calculate and obtain the traffic travel integration index of the multiple administrative divisions.

[0072] The transportation integration index of each administrative area includes: the transportation integration index of each administrative area relative to multiple target administrative areas.

[0073] For example, taking the target area as area Z, the target administrative division areas are city C, city E, city J, and city G. The weights of city C, city E, city J, and city G are 0.36, 0.28, 0.21, and 0.15, respectively.

[0074] The expression of the transportation integration index is: I = I1·0.36+ I2·0.28 + I3·0.21+ I4·0.15.

[0075] Among them, I1, I2, I3, and I4 are the quantitative scores of each administrative division area in the time zones of C, E, J, and G. The specific scoring method is: if it is less than or equal to 1 hour, it is assigned 5 points; if it is greater than 1 hour and less than or equal to 2 hours, it is assigned 3 points; if it is greater than 2 hours and less than or equal to 3 hours, it is assigned 1 point; if it is more than 3 hours, it is assigned 0 points.

[0076] S502: Construct a traffic integration spatial map of the target area based on the traffic travel integration indexes of multiple administrative regions.

[0077] In the traffic integration spatial map, the areas with indexes of 0-1 are of the same color, the areas with indexes of 1-2 are of the same color, the areas with indexes of 2-3 are of the same color, and the areas with indexes above 3 are of the same color. The distinction of colors makes the traffic integration spatial map more vivid and easier for users to view.

[0078] For example, Fig. 9 This is a traffic integration spatial map of the Z area provided in an embodiment of the present application.

[0079] In summary, in this embodiment, according to the traffic circle diagrams of multiple target administrative divisions under the preset traffic travel mode, the second measurement model in the preset traffic circle analysis model is used for calculation to obtain the traffic travel integration index of multiple administrative divisions, and the traffic travel integration index of each administrative division includes: the traffic travel integration index of each administrative division relative to multiple target administrative divisions; according to the traffic travel integration indexes of multiple administrative divisions, the traffic integration space diagram of the target area is constructed. Therefore, by constructing the traffic integration space diagram, quantitative traffic planning analysis is realized, the display form of the traffic circle is diversified, and users can more conveniently understand the traffic circle of the target area.

[0080] Based on the above embodiments, the embodiments of the present application also provide a method for constructing a spatiotemporal connectivity feature map for explanation. Fig.10 A schematic diagram of a process for constructing a spatiotemporal connectivity feature graph provided in an embodiment of the present application is shown in FIG. Fig.10 As shown, the method also includes: S601. Perform a first spatiotemporal connectivity analysis on the administrative division areas of the target area according to the first shortest travel matrix table to obtain a first spatiotemporal connectivity feature map of the target area under the highway travel mode.

[0081] The first spatiotemporal connectivity feature map shows the information on the shortest travel time between every two administrative divisions under the road travel mode.

[0082] For example, according to the first shortest travel matrix table, with the help of ArcGIS and other spatial analysis platforms, each two administrative divisions (counties (cities, districts)) are connected (connected by connecting segments). And with 30 minutes as a level, the shortest travel time of roads between each two administrative divisions is distinguished by the thickness and color depth of the connecting segments. In the first spatiotemporal connectivity feature map, the connecting segments within the shortest travel time range of the same road have the same color and thickness, which is convenient for users to view.

[0083] For example, Fig.11 The first spatiotemporal connectivity feature map of the Z region provided in an embodiment of the present application.

[0084] S602. Perform a second spatiotemporal connectivity analysis on the administrative divisions of the target area according to the second shortest travel matrix table to obtain a second spatiotemporal connectivity feature map of the target area under the railway travel mode.

[0085] The second spatiotemporal connectivity feature map shows information on the shortest travel time between every two administrative divisions under the railway travel mode.

[0086] For example, according to the second shortest travel matrix table, with the help of ArcGIS and other spatial analysis platforms, each two administrative divisions (counties (cities, districts)) are connected (connected by connecting segments). And with 30 minutes as a level, the shortest railway travel time of each two administrative divisions is distinguished by the thickness and color depth of the connecting segment. In the first spatiotemporal connectivity feature map, the connecting segments within the same railway shortest travel time range have the same color and thickness, which is convenient for users to view.

[0087] For example, Fig.12 The second spatiotemporal connectivity feature map of the Z region provided in an embodiment of the present application.

[0088] S603. Perform a third spatiotemporal connectivity analysis on the administrative divisions of the target area according to the third shortest travel matrix table to obtain a third spatiotemporal connectivity feature map of the target area under the comprehensive travel mode.

[0089] The third spatiotemporal connectivity feature map shows information on the shortest travel time between every two administrative divisions under the comprehensive travel mode.

[0090] For example, according to the third shortest travel matrix table, with the help of ArcGIS and other spatial analysis platforms, each two administrative divisions (counties (cities, districts)) are connected (connected by connecting lines). And with 30 minutes as a level, the comprehensive shortest travel time of each two administrative divisions is distinguished by the thickness and color depth of the connecting line segment. In the third spatiotemporal connectivity feature map, the connecting line segments within the same comprehensive shortest travel time range have the same color and thickness, which is convenient for users to view.

[0091] In summary, in this embodiment, according to the first shortest travel matrix table, the first spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area, and the first spatiotemporal connectivity characteristic map of the target area under the highway travel mode is obtained, and the first spatiotemporal connectivity characteristic map shows: the information of the shortest travel time between every two administrative division areas under the highway travel mode; according to the second shortest travel matrix table, the second spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area, and the second spatiotemporal connectivity characteristic map of the target area under the railway travel mode is obtained, and the second spatiotemporal connectivity characteristic map shows: the information of the shortest travel time between every two administrative division areas under the railway travel mode; according to the third shortest travel matrix table, the third spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area, and the third spatiotemporal connectivity characteristic map of the target area under the comprehensive travel mode is obtained, and the third spatiotemporal connectivity characteristic map shows: the information of the shortest travel time between every two administrative division areas under the comprehensive travel mode. Thus, by constructing the spatiotemporal connectivity characteristic map, quantitative traffic planning analysis is realized, the display form of the traffic circle is diversified, and users can more conveniently understand the traffic circle of the target area.

[0092] Based on the above embodiment, in another embodiment of the present application.

[0093] The connecting line segments between every two administrative divisions in the first spatiotemporal connectivity feature map are: the connecting line segments of the display parameters corresponding to the shortest travel time between every two administrative divisions under the highway travel mode.

[0094] The connecting line segments between every two administrative divisions in the second spatiotemporal connectivity feature map are: the connecting line segments whose display parameters correspond to the shortest travel time between every two administrative divisions under the railway travel mode.

[0095] The connecting line segments between every two administrative divisions in the third spatiotemporal connectivity feature map are: the connecting line segments of the display parameters corresponding to the shortest travel time between every two administrative divisions under the comprehensive travel mode.

[0096] Based on the above embodiments, the embodiments of the present application also provide a method for updating a highway traffic circle for explanation. Fig.13 A schematic diagram of a method for updating a highway traffic circle provided in an embodiment of the present application is shown in FIG. Fig.13 As shown, the method also includes: S701. Update the highway network data of the target area according to the highway network data planned to be opened within a first preset future time period.

[0097] As the traffic network develops, the traffic network in the target area will be updated and improved. In order to allow users to have a clearer understanding of the road network planning in the future, the road network data planned to be opened in the first preset future time period is regularly obtained to update the road network data in the target area.

[0098] For example, the first preset future time may be one year.

[0099] Among them, for the expressway projects planned in the future, the road network data is obtained based on the planned line direction of the project and the mileage of counties and cities along the line, combined with the average travel speed estimate.

[0100] S702: Recalculate using the first measurement model based on the updated highway network data to obtain a new first shortest travel matrix table under the highway travel mode.

[0101] The calculation method of the new first shortest trip matrix table is similar to the calculation method of the first shortest trip matrix table in the above embodiment, and will not be repeated here.

[0102] S703. Based on the new first shortest travel matrix table and the administrative map of the target area, a new first traffic time circle map of the target administrative area under the highway travel mode is reconstructed with the target administrative area as the center.

[0103] The construction method of the new first traffic time circle diagram is similar to the construction method of the first traffic time circle diagram in the above embodiment, and will not be repeated here.

[0104] S704: re-perform a first spatiotemporal connectivity analysis on the administrative division area of ​​the target area according to the new first shortest travel matrix table to obtain a new first spatiotemporal connectivity feature map of the target area under the road travel mode.

[0105] The construction method of the new first traffic time circle diagram is similar to the construction method of the first traffic time circle diagram in the above embodiment, and will not be repeated here.

[0106] S705. Recalculate the new traffic time circle diagrams of the multiple target administrative divisions under the highway travel mode using the second measurement model to obtain new traffic travel integration indexes for the multiple administrative divisions.

[0107] The calculation method of the new transportation integration index is similar to the calculation method of the transportation integration index in the above embodiment, and will not be repeated here.

[0108] S706. Reconstruct a transportation integration spatial map of the target area based on the new transportation integration indexes of the multiple administrative divisions.

[0109] The construction method of the new integrated traffic space diagram is similar to the construction method of the integrated traffic space diagram in the above embodiment, and will not be repeated here.

[0110] In summary, in this embodiment, according to the highway network data planned to be opened in the first preset future time period, the highway network data of the target area is updated; according to the updated highway network data, the first measurement model is used to recalculate to obtain a new first shortest travel matrix table under the highway travel mode; according to the new first shortest travel matrix table and the administrative map of the target area, with the target administrative division area as the center, the new first traffic time circle diagram of the target administrative division area under the highway travel mode is reconstructed; according to the new first shortest travel matrix table, the administrative division area of ​​the target area is re-analyzed for the first time-space connectivity to obtain a new first time-space connectivity feature map of the target area under the highway travel mode; according to the new traffic time circle diagrams of multiple target administrative division areas under the highway travel mode, the second measurement model is used to recalculate to obtain new traffic travel integration indexes of multiple administrative division areas; according to the new traffic travel integration indexes of multiple administrative division areas, the traffic integration space map of the target area is reconstructed. Thus, the planned traffic network data is timely incorporated into the traffic circle analysis, so that the user can intuitively observe the comparison effect of the traffic circle before and after planning.

[0111] Based on the above embodiments, the embodiments of the present application also provide a railway traffic circle updating method for explanation. Fig.14 A flow chart of a railway traffic circle updating method provided in an embodiment of the present application is as follows: Fig.14 As shown, the method also includes: S801. Update the railway station data in the target area according to the railway station data planned to be opened in the second preset future time period.

[0112] With the development of the transportation network, the transportation network in the target area will be updated and improved. In order to enable users to have a clearer understanding of the road network planning in the future, the railway station data planned to be opened in the first preset future time period is regularly obtained, and the railway station data in the target area is updated.

[0113] For example, the first preset future time may be one year.

[0114] For railway projects planned in the future, due to the comprehensive influence of the National Railway Group's train operation plan, cross-station stop plan, etc., for the purpose of calculation and evaluation, the railway station data (travel time) is estimated based on the project's planned line direction, station settings along the line, and railway technical standards (high-speed rail, passenger-dedicated line, or passenger and freight), and referring to the corresponding relationship between the mileage and travel time of similar types of railways.

[0115] S802: Recalculate using the first measurement model based on the updated railway station data to obtain a new second shortest travel matrix table under the railway travel mode.

[0116] The calculation method of the new second shortest trip matrix table is similar to the calculation method of the second shortest trip matrix table in the above embodiment, and will not be repeated here.

[0117] S803. Based on the new second shortest travel matrix table and the administrative map of the target area, a new second traffic time circle map of the target administrative area under the highway travel mode is reconstructed with the target administrative area as the center.

[0118] The construction method of the new second traffic time circle diagram is similar to the construction method of the second traffic time circle diagram in the above embodiment, and will not be repeated here.

[0119] S804. According to the new second shortest travel matrix table, re-perform a second spatiotemporal connectivity analysis on the administrative division areas of the target area to obtain a new second spatiotemporal connectivity feature map of the target area under the railway travel mode.

[0120] The construction method of the new second traffic time circle diagram is similar to the construction method of the second traffic time circle diagram in the above embodiment, and will not be repeated here.

[0121] S805. Recalculate the new traffic time circle diagrams of the multiple target administrative divisions under the railway travel mode using the second measurement model to obtain new traffic integration indexes for the multiple administrative divisions.

[0122] The calculation method of the new transportation integration index is similar to the calculation method of the transportation integration index in the above embodiment, and will not be repeated here.

[0123] S806. Reconstruct a transportation integration spatial map of the target area based on the new transportation integration indexes of the multiple administrative divisions.

[0124] The construction method of the new integrated traffic space diagram is similar to the construction method of the integrated traffic space diagram in the above embodiment, and will not be repeated here.

[0125] In summary, in this embodiment, according to the railway station data planned to be opened in the second preset future time period, the railway station data of the target area is updated; according to the updated railway station data, the first measurement model is used to recalculate to obtain a new second shortest travel matrix table under the railway travel mode; according to the new second shortest travel matrix table and the administrative map of the target area, with the target administrative division area as the center, the new second traffic time circle diagram of the target administrative division area under the highway travel mode is reconstructed; according to the new second shortest travel matrix table, the administrative division area of ​​the target area is re-analyzed for the second time-space connectivity to obtain a new second time-space connectivity feature map of the target area under the railway travel mode; according to the new traffic time circle diagrams of multiple target administrative division areas under the railway travel mode, the second measurement model is used to recalculate to obtain new traffic travel integration indexes of multiple administrative division areas; according to the new traffic travel integration indexes of multiple administrative division areas, the traffic integration space map of the target area is reconstructed. Thus, the planned traffic network data is timely incorporated into the traffic circle analysis, so that the user can intuitively observe the comparison effect of the traffic circle before and after planning.

[0126] The following is a description of the traffic circle analysis device, server, storage medium, etc. provided by the present application for execution. The specific implementation process and technical effects are as mentioned above and will not be repeated below.

[0127] Fig.15 Schematic diagram of a traffic circle analysis device provided in an embodiment of the present application. Fig.15 As shown, the device comprises: The acquisition module 1501 is used to acquire the traffic configuration data of the preset traffic travel mode in the target area.

[0128] The calculation module 1502 is used to calculate according to the traffic configuration data using the first measurement model in the preset traffic circle analysis model to obtain a first measurement result of the target area, wherein the first measurement result includes: the shortest travel matrix table of the preset traffic mode, and the shortest travel matrix table records: the shortest travel time between each two administrative divisions in the multiple administrative divisions in the target area.

[0129] Construction module 1503 is used to construct a traffic time circle diagram of the target administrative area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, with the target administrative area as the center, wherein the traffic time circle diagram records the area range reached by the preset traffic mode within a preset time period with the target administrative area as the center.

[0130] Furthermore, the calculation module 1502 is specifically used for the preset transportation mode including: road travel mode; the traffic configuration data of the road travel mode includes: road network data of the target area; based on the road network data of the target area, the first measurement model is used to perform calculations to obtain the first shortest travel matrix table of the road travel mode, and the first measurement result includes: the first shortest travel matrix table.

[0131] Furthermore, construction module 1503 is specifically used to construct a first traffic time circle diagram of the target administrative area under the highway travel mode, with the target administrative area as the center, based on the first shortest travel matrix table and the administrative map of the target area.

[0132] Furthermore, the calculation module 1502 is specifically used for the preset transportation mode to also include: railway travel mode, the transportation configuration data of the railway travel mode includes: railway station data of the target area; according to the railway station data of the target area, the first measurement model is used to perform calculations to obtain the second shortest travel matrix table of the railway travel mode, and the first measurement result also includes: the second shortest travel matrix table.

[0133] Furthermore, construction module 1503 is specifically used to construct a second traffic time circle diagram of the target administrative area under the railway travel mode, with the target administrative area as the center, based on the second shortest travel matrix table and the administrative map of the target area.

[0134] Furthermore, the calculation module 1502 is specifically used to calculate the third shortest travel matrix table of the comprehensive travel mode based on the first shortest travel matrix table and the second shortest travel matrix table using the first measurement model, and the first measurement result also includes: the third shortest travel matrix table.

[0135] Furthermore, construction module 1503 is specifically used to construct a third traffic time circle diagram of the target administrative area under the comprehensive travel mode based on the third shortest travel matrix table and the administrative map of the target area, with the target administrative area as the center.

[0136] Furthermore, the calculation module 1502 is also used to use the second measurement model in the preset traffic circle analysis model to perform calculations to obtain the transportation integration index of the multiple administrative regions. The transportation integration index of each administrative region includes: the transportation integration index of each administrative region relative to the multiple target administrative regions; based on the transportation integration indexes of the multiple administrative regions, construct a transportation integration spatial map of the target region.

[0137] Furthermore, construction module 1503 is also used to perform a first spatiotemporal connectivity analysis on the administrative division areas of the target area according to the first shortest travel matrix table, to obtain a first spatiotemporal connectivity feature map of the target area under the road travel mode, wherein the first spatiotemporal connectivity feature map includes: information on the shortest travel time between every two administrative division areas under the road travel mode; perform a second spatiotemporal connectivity analysis on the administrative division areas of the target area according to the second shortest travel matrix table, to obtain a second spatiotemporal connectivity feature map of the target area under the railway travel mode, wherein the second spatiotemporal connectivity feature map includes: information on the shortest travel time between every two administrative division areas under the railway travel mode; perform a third spatiotemporal connectivity analysis on the administrative division areas of the target area according to the third shortest travel matrix table, to obtain a third spatiotemporal connectivity feature map of the target area under the comprehensive travel mode, wherein the third spatiotemporal connectivity feature map includes: information on the shortest travel time between every two administrative division areas under the comprehensive travel mode.

[0138] Furthermore, construction module 1503 is also used for the connecting line segments of every two administrative divisions in the first space-time connectivity feature map as follows: the connecting line segments of the display parameters corresponding to the shortest travel time of every two administrative divisions under the road travel mode; the connecting line segments of every two administrative divisions in the second space-time connectivity feature map as follows: the connecting line segments of the display parameters corresponding to the shortest travel time of every two administrative divisions under the railway travel mode; the connecting line segments of every two administrative divisions in the third space-time connectivity feature map as follows: the connecting line segments of the display parameters corresponding to the shortest travel time of every two administrative divisions under the comprehensive travel mode.

[0139] Furthermore, the calculation module 1502 is also used to update the highway network data of the target area according to the highway network data planned to be opened within the first preset future time period; based on the updated highway network data, recalculate using the first measurement model to obtain a new first shortest travel matrix table under the highway travel mode; based on the new first shortest travel matrix table and the administrative map of the target area, reconstruct the new first traffic time circle diagram of the target administrative division area under the highway travel mode with the target administrative division area as the center; based on the new first shortest travel matrix table, re-perform a first spatiotemporal connectivity analysis on the administrative division area of ​​the target area to obtain a new first spatiotemporal connectivity feature map of the target area under the highway travel mode; based on the new traffic time circle diagrams of multiple target administrative division areas under the highway travel mode, recalculate using the second measurement model to obtain new traffic integration indexes of the multiple administrative division areas; based on the new traffic integration indexes of the multiple administrative division areas, reconstruct the traffic integration spatial map of the target area.

[0140] Furthermore, the calculation module 1502 is also used to update the railway station data of the target area according to the railway station data planned to be opened within a second preset future time period; based on the updated railway station data, recalculate using the first measurement model to obtain a new second shortest travel matrix table under the railway travel mode; based on the new second shortest travel matrix table and the administrative map of the target area, reconstruct the new second traffic time circle diagram of the target administrative division area under the highway travel mode with the target administrative division area as the center; based on the new second shortest travel matrix table, re-perform a second spatiotemporal connectivity analysis on the administrative division area of ​​the target area to obtain a new second spatiotemporal connectivity feature map of the target area under the railway travel mode; based on the new traffic time circle diagrams of multiple target administrative division areas under the railway travel mode, recalculate using the second measurement model to obtain new traffic integration indexes of the multiple administrative division areas; based on the new traffic integration indexes of the multiple administrative division areas, reconstruct the traffic integration spatial map of the target area.

[0141] Fig.16 A schematic diagram of an electronic device provided in an embodiment of the present application, which electronic device may be a device with computing and processing functions.

[0142] The electronic device includes: a processor 1601 and a storage medium 1602. The processor 1601 and the storage medium 1602 are connected via a bus.

[0143] The storage medium 1602 is used to store programs, and the processor 1601 calls the programs stored in the storage medium 1602 to execute the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0144] Optionally, the present invention also provides a storage medium, including a program, which is used to execute the above-mentioned method embodiment when executed by a processor. In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0145] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0146] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0147] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

Claims

1. A traffic circle analysis method, characterized in that: The method comprises: Obtaining traffic configuration data of preset transportation modes in the target area; According to the traffic configuration data, a first measurement model in a preset traffic circle analysis model is used to calculate to obtain a first measurement result of the target area, wherein the first measurement result includes: a shortest travel matrix table of the preset traffic travel mode, wherein the shortest travel matrix table records: the shortest travel time between each two administrative division areas in a plurality of administrative division areas in the target area; According to the shortest travel matrix table of the preset transportation mode and the administrative map of the target area, a traffic time circle diagram of the target administrative area in the target area under the preset transportation mode is constructed with the target administrative area as the center, and the traffic time circle diagram records the area range reached by the preset transportation mode within a preset time period with the target administrative area as the center.

2. The method according to claim 1, characterized in that The preset transportation travel modes include: road travel mode; The traffic configuration data of the highway travel mode includes: highway network data of the target area; The step of calculating according to the traffic configuration data using a first measurement model in a preset traffic circle analysis model to obtain a first measurement result of the target area includes: According to the highway network data of the target area, the first measurement model is used to calculate to obtain a first shortest travel matrix table of the highway travel mode, wherein the first measurement result includes: the first shortest travel matrix table; The method of constructing a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, with the target administrative area as the center, includes: According to the first shortest travel matrix table and the administrative map of the target area, a first traffic time circle diagram of the target administrative area under the highway travel mode is constructed with the target administrative area as the center.

3. The method according to claim 2, characterized in that The preset transportation mode also includes: railway travel mode, and the transportation configuration data of the railway travel mode includes: railway station data of the target area; The step of calculating according to the traffic configuration data using a first measurement model in a preset traffic circle analysis model to obtain a first measurement result of the target area includes: The first measurement model is used to calculate the second shortest travel matrix table of the railway travel mode according to the railway station data of the target area, and the first measurement result also includes: the second shortest travel matrix table; The method of constructing a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area, with the target administrative area as the center, includes: According to the second shortest travel matrix table and the administrative map of the target area, a second traffic time circle diagram of the target administrative area under the railway travel mode is constructed with the target administrative area as the center.

4. The method according to claim 3, characterized in that The method of calculating, according to the traffic configuration data, using a first measurement model in a preset traffic circle analysis model to obtain a first measurement result of the target area further includes: According to the first shortest travel matrix table and the second shortest travel matrix table, the first measurement model is used to calculate to obtain a third shortest travel matrix table of the comprehensive travel mode, wherein the first measurement result further includes: the third shortest travel matrix table; The method of constructing a traffic time circle diagram of the target administrative area in the target area under the preset traffic mode based on the shortest travel matrix table of the preset traffic mode and the administrative map of the target area with the target administrative area as the center also includes: According to the third shortest travel matrix table and the administrative map of the target area, a third traffic time circle diagram of the target administrative area under the comprehensive travel mode is constructed with the target administrative area as the center.

5. The method according to claim 1, characterized in that The method further comprises: According to the traffic time circle diagrams of the plurality of target administrative divisions under the preset traffic travel mode, the second measurement model in the preset traffic circle analysis model is used to calculate and obtain the traffic travel integration index of the plurality of administrative divisions, wherein the traffic travel integration index of each administrative division includes: the traffic travel integration index of each administrative division relative to the plurality of target administrative divisions; A traffic integration spatial map of the target area is constructed according to the traffic integration indexes of the multiple administrative divisions.

6. The method according to claim 4, characterized in that The method further comprises: According to the first shortest travel matrix table, a first spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area to obtain a first spatiotemporal connectivity feature map of the target area under the highway travel mode, wherein the first spatiotemporal connectivity feature map displays: information on the shortest travel time between every two administrative division areas under the highway travel mode; According to the second shortest travel matrix table, a second spatiotemporal connectivity analysis is performed on the administrative division area of ​​the target area to obtain a second spatiotemporal connectivity feature map of the target area under the railway travel mode, wherein the second spatiotemporal connectivity feature map displays: information on the shortest travel time between every two administrative division areas under the railway travel mode; According to the third shortest travel matrix table, a third spatiotemporal connectivity analysis is performed on the administrative divisions of the target area to obtain a third spatiotemporal connectivity feature map of the target area under the comprehensive travel mode. The third spatiotemporal connectivity feature map shows: information on the shortest travel time between every two administrative divisions under the comprehensive travel mode.

7. The method according to claim 6, characterized in that The connecting line segment between each two administrative division areas in the first spatiotemporal connectivity feature graph is: the connecting line segment corresponding to the display parameter of the shortest travel time between each two administrative division areas under the highway travel mode; The connecting line segment between each two administrative division areas in the second spatiotemporal connectivity feature graph is: the connecting line segment corresponding to the display parameter of the shortest travel time between each two administrative division areas under the railway travel mode; The connecting line segments between every two administrative divisions in the third spatiotemporal connectivity feature map are: connecting line segments corresponding to display parameters of the shortest travel time between every two administrative divisions under the comprehensive travel mode.

8. The method according to claim 6, characterized in that The method further comprises: Updating the highway network data of the target area according to the highway network data planned to be opened within a first preset future time period; According to the updated highway network data, the first measurement model is used to recalculate to obtain a new first shortest travel matrix table under the highway travel mode; According to the new first shortest travel matrix table and the administrative map of the target area, taking the target administrative division area as the center, reconstructing a new first traffic time circle diagram of the target administrative division area under the highway travel mode; According to the new first shortest travel matrix table, re-performing a first spatiotemporal connectivity analysis on the administrative division area of ​​the target area to obtain a new first spatiotemporal connectivity feature map of the target area under the highway travel mode; According to the new traffic time circle diagrams of the plurality of target administrative divisions under the highway travel mode, recalculating using the second measurement model to obtain new traffic travel integration indexes of the plurality of administrative divisions; According to the new transportation integration indexes of the multiple administrative divisions, the transportation integration spatial map of the target area is reconstructed.

9. The method according to claim 6, characterized in that The method further comprises: updating the railway station data of the target area according to the railway station data planned to be opened in a second preset future time period; According to the updated railway station data, the first measurement model is used to recalculate to obtain a new second shortest travel matrix table under the railway travel mode; According to the new second shortest travel matrix table and the administrative map of the target area, taking the target administrative division area as the center, reconstructing a new second traffic time circle diagram of the target administrative division area under the highway travel mode; According to the new second shortest travel matrix table, re-performing a second spatiotemporal connectivity analysis on the administrative division area of ​​the target area to obtain a new second spatiotemporal connectivity feature map of the target area under the railway travel mode; According to the new traffic time circle diagrams of the plurality of target administrative divisions under the railway travel mode, recalculating using the second measurement model to obtain new traffic travel integration indexes of the plurality of administrative divisions; According to the new transportation integration indexes of the multiple administrative divisions, the transportation integration spatial map of the target area is reconstructed.

10. An electronic device, characterized in that: include: A processor and a storage medium, wherein the processor and the storage medium are communicatively connected via a bus, the storage medium stores program instructions executable by the processor, and the processor calls the program stored in the storage medium to execute the steps of the traffic circle analysis method as described in any one of claims 1 to 9.

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