Simulation study on the influence of metro occupation construction on road capacity of mixed traffic intersection

Ruiwei Ma; Ning Liu

doi:10.1117/12.2692077

23 August 2023 Simulation study on the influence of metro occupation construction on road capacity of mixed traffic intersection

Ruiwei Ma, Ning Liu

Author Affiliations +

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127841W (2023) https://doi.org/10.1117/12.2692077
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

In order to optimize the road traffic organization measures at urban mixed traffic intersections, study the impact of subway occupation construction on urban road capacity, and reduce the negative impact of subway occupation construction on road capacity, it analyzes the characteristics of the occupying-road construction of subway. It cites the example of the road occupation construction of the section from Hunnan Middle Road to Wenhua Street at the end of Shenyang Metro Line 9. This study controls and calibrates the influencing factors of the construction section occupied by subway, and uses Anylogic software to simulate and obtain traffic data, so as to quantify the effects of various traffic organization measures to increase the capacity of the original urban road. Moreover, according to the principle of efficiency, feasibility and economy, it selects the most appropriate transportation organization scheme .Taking this case as a typical example, this paper puts forward some suggestions on the universality of road occupation in subway construction.

Citation Download Citation

Ruiwei Ma and Ning Liu "Simulation study on the influence of metro occupation construction on road capacity of mixed traffic intersection", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127841W (23 August 2023); https://doi.org/10.1117/12.2692077

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