Optimization of Urban/Suburban Train Operation Schemes on Existing Railways
ZHOU Bo1, SONG Weiwei2, CHEN Congcong3
1. China Railway Siyuan Survey and Design Group Co. Ltd, Wuhan, Hubei 430063, China; 2. The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China; 3. Shandong Jiaotong University, Ji’nan, Shandong 250357, China;
Abstract:Research purposes: Against the backdrop of utilizing existing railway resources for the development of suburban (commuter) railways, this study aims to improve the operational efficiency of suburban railways to meet passenger travel demands. By analyzing passenger behavior under different arrival patterns, a traffic allocation method for suburban railways under a mixed arrival pattern is proposed. Based on the "national ownership of lines, co-management by national and local railways" model, a multi-objective optimization model is constructed, which comprehensively considers passenger travel time, operational costs, and local government costs. The model is solved using a genetic particle swarm optimization algorithm to optimize train scheduling plans. Research conclusions: (1) Empirical analysis of peak morning passenger flow data from a suburban railway line shows that the constructed optimization model for suburban railway scheduling can significantly improve operational efficiency. (2) The model shortens total passenger travel time by 34.8% during peak morning hours, reduces railway operational costs by 10.2%, decreases local government costs by 11.5%, and saves 10% on vehicle acquisition costs. (3) The results of this study can be applied to project planning decisions and operational optimization for suburban railways utilizing existing railway resources.
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