Identification Method of Key Road Sections in Road Network Based on Macro Basic Graph

A macroscopic basic map and identification method technology, applied in the field of identification of key road network sections based on macroscopic basic maps, to achieve reliable and stable operation, improved static judgment and empirical judgment of key road network sections, and high degree of refinement

Active Publication Date: 2018-02-23
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the practical problem is that the road network structure is static, but the road network traffic status is dynamically changing

Method used

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  • Identification Method of Key Road Sections in Road Network Based on Macro Basic Graph
  • Identification Method of Key Road Sections in Road Network Based on Macro Basic Graph
  • Identification Method of Key Road Sections in Road Network Based on Macro Basic Graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0065] 1) Select a road network A (35 road sections in total), set a microwave radar detector in the middle of each road section in road network A, and obtain the traffic flow, average vehicle speed and occupancy data of each microwave radar detector ,as follows:

[0066] (2427,34,0.39),(2789,31,0.45),…(4230,26,0.89),…(2638,34,0.43);

[0067] The statistical period is 1 hour, and a total of 840 groups of data are obtained in one day.

[0068] 2) Calculate the weighted traffic flow and unweighted density data of road network A as follows:

[0069] (1893,67),(2473,79),…(3649,117),…(4131,166);

[0070] The statistical period is 1 hour, and a total of 24 pairs of data are obtained in one day.

[0071] 3), take the weighted traffic flow and unweighted density corresponding to the road network of all collection periods within one day as the sample set, as follows:

[0072] Q={(q w ,k u )|q w = 1893, 2473, 3694, ...... 4143; k u =67,79,117,......166}

[0073] 4) According to t...

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Abstract

The invention discloses a macroscopic fundamental diagram-based road network key section identification method. The method comprises the steps of 1, acquiring the traffic flow, the average speed and the time occupancy data of each road section of an urban road network A; 2, calculating a weighted flow and a non-weighted density of the road network within each acquisition period; 3, getting a set of samples; 4, drawing a macroscopic fundamental scatter diagram; 5, calculating the critical weighted traffic flow of the road network MFD; 6, arbitrarily deleting one road section, and calculating the critical weighted traffic flow of the road network (-i)MFD without the above deleted road section and the floating value of the MFD critical weighted traffic flow of the road network A; 7, adopting the clustering analysis method for classification, and extracting a threshold r and a key road section. According to the technical scheme of the invention, the defect that the key section identification result based on the static topology structure of the road network is not consistent with the dynamic characteristics of the road network traffic flow can be overcome. Therefore, the method is more applicable to the change characteristics of the road network traffic flow. Therefore, the reliability of calculated data is ensured to be high.

Description

technical field [0001] The invention belongs to the field of identification and management and control of key road sections of an urban road network, and in particular relates to a method for identifying key road sections of a road network based on a macroscopic basic map. Background technique [0002] Traffic congestion is the contradiction between limited traffic supply and ever-increasing traffic demand. With the rapid growth of motor vehicle ownership, traffic congestion has gradually evolved from single-section congestion to overall road network congestion, and the urban traffic environment is deteriorating day by day, becoming a worldwide phenomenon. problem. In order to avoid the overall traffic congestion in the urban road network, it is urgent to find out the key road sections that have an important impact on the traffic status of the road network. By optimizing the control of the key road sections, the traffic flow in the road network can be dredged and balanced, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0116G08G1/0133
Inventor 王云鹏董婉丽于海洋吴志海杨帅
Owner BEIHANG UNIV
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