A method for spatial partitioning of road networks under influence of urban facility complexity

Abstract

The application discloses a kind of urban facilities complexity influence under road network's spatial partition method, comprising the following steps: firstly, the road network data in city interior is divided into different road sections, and the corresponding surface buffer zone is generated for different road sections;Second, the road section buffer zone is overlaid with the POI data in city interior, and the POI quantity characteristics in the range of different road section buffer zone are calculated;Third, the road section buffer zone is overlaid with the building height data in city interior, and the building height characteristics in the range of different road section buffer zone are calculated;Fourth, based on the POI quantity characteristics and building height characteristics corresponding to different road sections, the urban facilities complexity index in the range of road section buffer zone is calculated;Fifth, according to the order of facility complexity index from big to small and the principle of buffer zone space not overlapping, different road network partition is generated.The application is directed to the spatial distribution law of road network under the influence of different facilities in city interior, based on POI data and building height data, and proposes a spatial partition method of traffic road network.Emprical results show that the method can use urban facilities complexity index to represent the diversity of commercial activities and building distribution near different road sections, and further generate the spatial partition of traffic road network based on it.The application provides a more intuitive and accurate spatial partition method of traffic road network for urban traffic management, urban planning, infrastructure operation and maintenance, and urban sustainable development.

Description

TECHNICAL FIELD

[0001] The present application relates to the fields of geographic information technology, urban traffic management, and the like, and in particular to a method for spatial partitioning of a road network under the influence of urban facility complexity. BACKGROUND

[0002] Urban traffic road network is the most important and active part in the operation of urban system, and effective management of urban traffic road network is of great significance for facilitating urban residents' life and promoting urban development. Urban internal infrastructure has high complexity in spatial distribution, and different urban facilities have different demands and influences on traffic, so spatial partitioning of urban road network according to the differences of urban facilities where the roads are located can help to realize targeted and fine management of urban traffic.

[0003] With the widespread use of electronic maps, the spatial distribution of urban internal facilities can be obtained in batches to form geographic big data represented by POI (Point of Internet) data. In addition, technologies such as laser radar, oblique photogrammetry and remote sensing can realize the calculation of the height of urban internal buildings. The above two types of technologies provide data support for representing the complexity of urban facilities. At the same time, the popularity of open source geographic information technology makes the distribution data of urban internal road network publicly available, and the commonly used is OSM (Open Street Map) data. Based on this, the combination of POI data, building height data and OSM road data in urban areas is expected to build a method for spatial partitioning of urban traffic road network considering the complexity of urban facilities. SUMMARY

[0004] The present application provides a method for spatial partitioning of a road network under the influence of urban facility complexity, aiming at efficient management of spatial partitioning of urban traffic, and the technical problems solved include measurement of urban facility complexity and spatial partitioning of traffic road network based on urban facility complexity.

[0005] To achieve the above purpose, the present application adopts the following technical solutions:

[0006] A method for spatial partitioning of a road network under the influence of urban facility complexity, comprising five parts of road section unit division and buffer generation, calculation of POI quantity corresponding to the road section, calculation of building height corresponding to the road section, calculation of urban facility complexity index corresponding to the road section, and spatial partitioning of road network based on facility complexity sequence.

[0007] Road section unit division and buffer generation, the steps of this part are as follows:

[0008] S1: According to the OSM road network, the road network is divided into different road sections;

[0009] S2: Add a field to the vector data of the divided road segments to realize the numbering of different road segments, and then add a field to calculate the geometric length of the road segments;

[0010] S3: Generate a spatial buffer for each road segment, respectively, with a distance of d meters. The buffer data contains the corresponding road segment number;

[0011] POI quantity feature calculation corresponding to the road segment, the steps are as follows:

[0012] S4: Perform spatial intersection between the planar buffer data of all road segments and the point POI data, extract the POI data corresponding to different buffers according to the number field, and calculate the number of POIs in the buffer;

[0013] S5: According to the length information of different road segments and the number information of POI points in the corresponding buffer, calculate the number feature of POI in the buffer;

[0014] Building height feature calculation corresponding to the road segment, the steps are as follows:

[0015] S6: Superimpose the planar buffer of all road segments with the grid form building height data, and respectively calculate the average value of building height in different buffer ranges;

[0016] S7: According to the length information of different road segments and the average height information of buildings in the corresponding buffer, calculate the building height feature of the buffer;

[0017] Road segment corresponding to the urban facility complexity index calculation, the steps are as follows:

[0018] S8: Based on the POI quantity feature and building height feature corresponding to different road segments, add and couple them to calculate the urban facility complexity index;

[0019] Road network spatial partitioning based on facility complexity order, the steps are as follows:

[0020] S9: Summarize the urban facility complexity corresponding to all road segments, and rearrange them in descending order;

[0021] S10: Based on the principle of non-superposition of road segment buffer space in descending order, assign a partition number to each road segment and the road segments within a distance of d meters around it, and finally generate a spatial partition. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description are only schematic of the present application, and other accompanying drawings can be obtained by those skilled in the art without any creative effort on the basis of the provided accompanying drawings.

[0023] Figure 1 Invention technical flow chart;

[0024] Figure 2 Segment division result map provided by the present application;

[0025] Figure 3 POI quantity feature histogram provided by the present application;

[0026] Figure 4 Building height feature histogram provided by the present application;

[0027] Figure 5 Urban facility complexity distribution map provided by the present application;

[0028] Figure 6 Urban road network spatial partition map provided by the present application; DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort belong to the scope of protection of the present application.

[0030] The following is the road segment unit division and its buffer generation part:

[0031] Step 1: Collect open source OSM road network data in the target area and pre-process, divide the road network into different road segments by using road branch, traffic signal and other position points.

[0032] Step 2: Add fields to the vector form road segment data, and uniformly number without repetition.

[0033] Step 3: Generate a buffer for each road segment, set the distance to d meters, and the buffer has a number field consistent with the number field of the road segment.

[0034] The following is the POI quantity feature calculation part corresponding to the road segment:

[0035] Step 1: Intersect the road segment buffer data of the vector surface feature with the POI data of the vector point feature, so that each POI point has a corresponding buffer number.

[0036] Step 2: Based on the attribute table of the intersection result, count the total number of POI points corresponding to each buffer number.

[0037] Step 3: Based on the length of each road segment and the total number of POI points in the road segment buffer, calculate the POI quantity feature corresponding to the road segment, as follows:

[0038]

[0039] wherein, is the POI quantity feature corresponding to the road segment r, N r is the number of POI points in the buffer range of the road segment r, L r is the length of the road segment r.

[0040] In the calculation process, there may be a case where the corresponding POI quantity of a road segment is 0. In order not to affect the calculation of the POI quantity feature, the POI quantity is set to 0.1 in this case, which can ensure that the POI quantity is still at a minimum and can also ensure that the calculation process can proceed normally.

[0041] The following is the building height feature calculation part corresponding to the road segment:

[0042] Step 1: Spatially overlay the road segment buffer data of the vector surface feature with the building height data in raster data form, and perform raster clipping, so that each buffer range has corresponding building height data.

[0043] Step 2: Based on the building height data in each road segment buffer, count the average value of the building height in each buffer.

[0044] Step 3: Based on the length of each road segment and the average value of the building height in the road segment buffer, calculate the building height feature corresponding to the road segment, as follows:

[0045]

[0046] wherein, is the building height feature corresponding to the road segment r, MH r is the average value of the building height in the buffer range of the road segment r, L r is the length of the road segment r.

[0047] In the process of calculation, the average height of the corresponding building on a certain section may be 0. In order to not affect the calculation of the building height feature, the average height of the building is set to 0.1 in this case, that is, the average height of the building is still the minimum, and the calculation process can proceed normally.

[0048] The following is the calculation part of the urban facility complexity index corresponding to the road section:

[0049] Step 1: Based on the POI quantity feature and the building height feature corresponding to the road section, the urban facility complexity index corresponding to the road section is calculated, and the calculation method is as follows:

[0050]

[0051] USCI r = 0.5 * (POI r + H r) r is the urban scene corresponding to the road section r, is the POI quantity feature corresponding to the road section r, is the building height feature corresponding to the road section r.

[0052] The following is the road network spatial partitioning part based on the facility complexity order:

[0053] Step 1: The urban facility complexity corresponding to all road sections is summarized and rearranged in descending order.

[0054] Step 2: Set z = 1, take out the first road section in the order, that is, the road section with the largest urban scene complexity index, and set the partition label of the road section and all road sections within a d-meter buffer range near the road section to z.

[0055] Step 3: Set z = z + 1, take out the road section with the next facility complexity order, if the taken road section has a partition label, continue to take the road section with the next order; if the taken road section does not have a partition label, further filter all road sections within a d-meter buffer range near the road section, if the filtered adjacent road sections have a partition label, delete these road sections with a partition label; set the partition label of the current road section and the adjacent road section after deleting the road section with a partition label to z.

[0056] Step 4: Repeat the previous step until all road sections in the order are taken and all road sections have a partition label.

[0057] Step 5: According to the partition label of different road sections, the spatial partitioning of the urban road network is generated.

[0058] Finally, a part of the core urban area of Xi'an city is selected as the case area, the traffic road network is from Open StreetMap, and the spatial resolution of the building height data is 10m x 10m. The buffer distance d = 200m is set, and the spatial partition of the traffic road network in the case area is carried out by using the method of the patent. The road section division results of the road network in the area are shown in Figure 2 , the histogram of the calculation results of the POI quantity feature of each road section is shown in Figure 3 , the histogram of the calculation results of the building height feature of each road section is shown in Figure 4 , the spatial distribution of the urban facility complexity index results of each road section is shown in Figure 5 , and the spatial distribution of the final road network partition results is shown in Figure 6 .

[0059] The above description of disclosed embodiments enables those skilled in the art to carry out or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined by the scheme can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown in the scheme, but will conform to the widest scope consistent with the principles and novel features disclosed by the present application.

Claims

1.A method for spatial partitioning of road network under the influence of urban facility complexity, comprising five parts: road segment unit division and its buffer generation, POI quantity feature calculation corresponding to road segment, building height feature calculation corresponding to road segment, urban facility complexity index calculation corresponding to road segment, and road network spatial partitioning based on facility complexity sequence. The road segment unit division and its buffer generation has the following steps: S1: According to the OSM road network, the road network is divided into different road segments; S2: For the vector data of the divided road segments, add a field to realize different road segment numbering, and then add a field to calculate the geometric length of the road segment; S3: Generate a spatial buffer for each road segment respectively, and set the buffer distance to d meters. The buffer data contains the corresponding road segment number; The POI quantity feature calculation corresponding to road segment has the following steps: S4: Perform spatial intersection between the planar buffer data of all road segments and the point POI data, and extract the POI data corresponding to different buffers according to the number field; S5: According to the length information of different road segments and the point number information of POI in the corresponding buffer, calculate the number feature of POI in the buffer; The building height feature calculation corresponding to road segment has the following steps: S6: Superimpose the planar buffer of all road segments on the raster form building height data, and respectively calculate the average value of building height in different buffer ranges; S7: According to the length information of different road segments and the average height information of buildings in the corresponding buffer, calculate the building height feature of the buffer; The urban facility complexity index calculation corresponding to road segment has the following steps: S8: Based on the POI quantity feature and building height feature corresponding to different road segments, couple them to calculate the urban facility complexity index; The road network spatial partitioning based on facility complexity sequence has the following steps: S9: Summarize the urban facility complexity corresponding to all road segments, and rearrange them in descending order; S10: Based on the principle of spatial non-overlapping of road segment buffer under descending order arrangement, assign a partition number to each road segment and its surrounding road segments with a distance less than d meters, and finally generate a spatial partition. 2.The method for spatial partitioning of road network under the influence of urban facility complexity according to claim 1, wherein in steps S2 to S8, the complexity of urban POI facilities and building facilities in road segment distribution is considered in sequence, and then the two complexities are integrated to realize the measurement calculation of urban facility complexity. 3.The method for spatial partitioning of road network under the influence of urban facility complexity according to claim 1, wherein in steps S9 to S10, according to the sequence of urban facility complexity from large to small, and according to the idea of spatial non-overlapping of road segment buffer, each road segment is assigned a corresponding road network partition.

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