Paper
20 February 2024 Optimization of rolling stock circulation plan for passenger-freight co-transportation with flexible train composition mode
Jianian He, Jianguo Qi, Lixing Yang, Housheng Zhou
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130640T (2024) https://doi.org/10.1117/12.3015765
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
Considering the dynamics and uncertainty of passenger and freight demand, this paper proposes an optimization method of rolling stock circulation plan for passenger-freight co-transportation. Based on the flexible composition mode, a twostage stochastic programming model is proposed. The first stage considers the constraints of train composition and rolling stock circulation plan, with the objective of minimizing the train operation cost. The second stage considers the rules of passenger and cargo flow allocation, with the objective of minimizing the delay time of cargo groups and the number of passenger delays. A series of numerical experiments based on the Beijing Subway Yizhuang line are implemented to show the effectiveness of the proposed method, which are solved by Gurobi and variable neighborhood descent (VND) algorithm. The results show that in comparison with the fixed composition mode, the flexible composition mode can better cope with the uncertainty of demand, which can reduce the train operation cost and improve the quality of transportation service.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jianian He, Jianguo Qi, Lixing Yang, and Housheng Zhou "Optimization of rolling stock circulation plan for passenger-freight co-transportation with flexible train composition mode", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130640T (20 February 2024); https://doi.org/10.1117/12.3015765
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