A Multimodal Traffic Network Partitioning Method Oriented to Macro-Basic Graphs

Abstract

The invention discloses a multi-mode traffic road network partitioning method oriented to a macroscopic basic graph, comprising the following steps: S1, performing initial division of sub-regions by combining a region growing algorithm and a comprehensive evaluation method; S2, using a genetic algorithm and a TOPSIS algorithm to combine The initialization sub-regions are gradually merged into MR regions; S3, the region boundary adjustment is performed; S4, the final partition result is output. The invention takes into account the overall variance relationship between road sections and regions and the multi-mode attribute of the road network; the indexes of the initialization sub-region algorithm and the merged sub-region algorithm are better than the traditional algorithm; the partition quality (TV) of the overall algorithm is compared with the existing partition algorithm. The results have been greatly improved; the results of zoning and multi-source data processing can identify and obtain multi-mode MFD graphics, and obtain the optimal ratio of the number of social vehicles and buses in the area, which provides a theory for the integrated control of multi-mode traffic flow guide.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a multi-mode traffic road network partitioning method oriented to a macroscopic basic graph. Background technique [0002] With the development of society, the number of motor vehicles has also increased rapidly, and the traffic congestion problem has become more and more serious. The urban traffic signal control system is responsible for the management and control of the entire urban road network. In order to improve the traffic control effect of the urban road network, it is necessary to divide the road network. [0003] As a new development of network traffic flow research, Macroscopic Fundamental Diagram (MFD) of network traffic flow has received more and more attention in recent researches. [0004] Among them, the literature [1] proposes a three-step method of "initial partition-sub-region merge-boundary adjustment" based on the traditional single-mode M...

AI Technical Summary

Problems solved by technology

[0005] However, the existing algorithm only considers the variance relationship between adjacent road sections and adjacent sub-areas in the initial partition and sub-area merging steps, which easily leads to the division of road sections with different congestion levels into the same sub-area

In addition, the algorithm only considers the speed (or density) of social traffic flow, and is not suitable for multi-modal traffic network

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