区域铁路通道高铁列车开行方案优化
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作者单位:

1同济大学 道路与交通工程教育部重点实验室,上海 201804;2同济大学 交通学院,上海 201804

作者简介:

叶玉玲,教授,博士生导师,工学博士,主要研究方向为轨道交通运输规划、设计与管理。 E-mail: yyling@163.com

通讯作者:

张 巧,硕士生,主要研究方向为轨道交通运输规划、设计与管理。 E-mail: zhang_q2025@163.com

中图分类号:

U292.4

基金项目:


Optimization of High-speed Train Operation Scheme in Regional Railway Corridors
Author:
Affiliation:

1Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China;2College of Transportation, Tongji University, Shanghai 201804, China

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    摘要:

    针对区域铁路通道内多条高速铁路的列车开行方案优化问题,构建列车开行方案与客流分配的双层规划模型。上层以铁路运营企业收益最大为目标,下层以旅客广义出行费用最小为目标,将各起终点(OD)需求视为不同商品,采用多商品流整数规划进行客流分配。设计嵌套启发式求解算法,上层采用模拟退火算法结合基于客座率反馈的邻域搜索策略,下层模型利用GUROBI求解。算例计算结果表明,优化后的列车开行方案与客流需求更加匹配,平均客座率约97%;整体优化与各线路独立优化相比,客票收入差异较小,可变成本减少18.4%。

    Abstract:

    In this paper, a bi-level programming model is built for the train operation scheme optimization of multiple high-speed railway lines within a regional railway corridor, with the passenger assignment integrated into the planning process. The railway operator revenue maximization is set as the upper-level objective, while the passenger generalized travel cost minimization is adopted as the lower-level objective. Each OD demand is treated as a distinct commodity, and passenger flows are assigned using a multi-commodity flow integer programming model. A nested heuristic solution algorithm is designed: the upper-level problem is solved by simulated annealing combined with a feedback neighborhood search strategy based on seat load factors, and the lower-level model is solved using GUROBI. Case study results show that the optimized train operation scheme better matches passenger flow demand, with an average seat load factor of approximately 97%. Compared with the line-by-line independent optimization, the integrated corridor optimization shows a relatively small difference in ticket revenue and reduces variable cost by 18.4%.

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叶玉玲,张巧,罗晋.区域铁路通道高铁列车开行方案优化[J].同济大学学报(自然科学版),2026,54(7):1025~1034

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  • 收稿日期:2025-06-05
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  • 在线发布日期: 2026-07-13
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