Saturated arterial coordinate control strategy optimization considering macroscopic fundamental diagram

Xuanhua Lin; Xiaohui Lin; Kelian Chen

doi:10.5604/01.3001.0015.9253

Authors

Xuanhua Lin Institute of Rail Traffic, Guangdong Communication Polytechnic, Guangzhou Author https://orcid.org/0000-0002-6854-2178
Xiaohui Lin Institute of Rail Traffic, Guangdong Communication Polytechnic, Guangzhou Author https://orcid.org/0000-0002-4126-5430
Kelian Chen Institute of Rail Traffic, Guangdong Communication Polytechnic, Guangzhou Author https://orcid.org/0000-0002-1089-754X

DOI:

https://doi.org/10.5604/01.3001.0015.9253

Keywords:

traffic state, MFD, macroscopic fundamental diagram, urban road network, traffic flow

Abstract

MFD is widely used in traffic state evaluation because of its description of the macro level of urban road network. Aiming at the control strategy optimization problem of urban arterial road network under saturated traffic flow state, this study analyzes the MFD characteristics of a typical three-segment "ascending-stable-descending segment" and its advantages in characterizing the macroscopic operation efficiency of the road network, a arterial coordination control strategy considering MFD is proposed. According to the characteristics of MFD, it is proposed that the slope of the ascending segment and the capacity of the road network represent the operating efficiency of the free flow and saturated flow of the road network respectively. The traffic flow and density data of road segment are obtained by the road detector through Vissim simulation software. Aiming at the problem that the MFD is too discrete due to unreasonable control strategy or traffic condition, and in order to extract the MFD optimization target indicators, it is proposed to extract the key boundary points of the MFD by the “tic-tac-toe” method and divide the MFD state by Gaussian mixture clustering. The genetic algorithm integrates the multi-objective particle swarm algorithm as the solution algorithm, and the simulation iterative process is completed through Python programming and the com interface of Vissim software. In order to verify the validity of the model and algorithm, the actual three-intersections arterial road network is used for verification, and the model in this study is compared with the optimization model without considering MFD, the model solved by traditional algebraic method, and the optimization model solved by typical multi-objective particle swarm. Results show that the model in this research performs well in efficiency indicators such as total delay, average delay, and queue coefficient. At the same time, the MFD form has highest stability, the control effect is the best in the saturated state. The solution algorithm GA-MOPSO also has a better solution effect.

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