Stochastic multi-objective model in traffic network design

Xinxin Yu; Heling Liu; Changzhi Bian; Ying Liu; Guoyi Tang; Xiaoxia Yao; Xiongjun Han; Jie Shao

doi:10.1117/12.2645906

23 November 2022 Stochastic multi-objective model in traffic network design

Xinxin Yu, Heling Liu, Changzhi Bian, Ying Liu, Guoyi Tang, Xiaoxia Yao, Xiongjun Han, Jie Shao

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123023N (2022) https://doi.org/10.1117/12.2645906
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

Traditional traffic planning only considers the single objective which is not reasonable. This paper establishes a stochastic multi-objective network design model with the concept of Pareto optimal. The genetic algorithm is used to solve the model, and then gives an example with Nguyen-Dupuis network. The result shows that different objectives have substitution relations in multi-objective model. The model can provide scientific, systematic and effective decision-making scheme and decision data for the decision-maker.

Citation Download Citation

Xinxin Yu, Heling Liu, Changzhi Bian, Ying Liu, Guoyi Tang, Xiaoxia Yao, Xiongjun Han, and Jie Shao "Stochastic multi-objective model in traffic network design", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123023N (23 November 2022); https://doi.org/10.1117/12.2645906

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