Multi-objective signal control timing optimization model for ice and snow road intersection

Xin Lu; Bing Wang

doi:10.1117/12.2645598

23 November 2022 Multi-objective signal control timing optimization model for ice and snow road intersection

Xin Lu, Bing Wang

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 1230235 (2022) https://doi.org/10.1117/12.2645598
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

The northwest region of China is severely cold. The ice and snow conditions have a great impact on the traffic operation efficiency, which will change the road friction coefficient, vehicle performance and signal control timing parameters. This leads to increased delays at intersections and reduced traffic capacity, and normal weather signal control timing is no longer applicable under icy and snowy road conditions. Therefore, people propose a multi-objective optimization scheme of information control timing, which comprehensively considers factors such as delay, passing capacity, and parking frequency to establish a model, and use genetic algorithm to solve it. The data analysis is carried out by taking the typical intersection in Urumqi as an example. The survey results show that the timing optimization technology using multi-objective information can solve the problem of congestion at the intersection of ice and snow roads, and has a better traffic signal regulation effect.

Citation Download Citation

Xin Lu and Bing Wang "Multi-objective signal control timing optimization model for ice and snow road intersection", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 1230235 (23 November 2022); https://doi.org/10.1117/12.2645598

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