摘要
为满足旅客对高速铁路运输服务日益增长的需求,高速铁路面临客流规模持续增长与停站方案时空均衡性不足的矛盾,亟需解决多层次高密度出行需求与列车运营效益协同优化问题。为探讨具有客流匹配与时空均衡适配性的停站方案优化方法,采用上层模型处理列车停站频次约束,下层模型优化停站时空分布的双层规划优化策略,引入时间维度,构建包含列车、车站和列车群3个维度的时空网络模型;设计基于动态规划的启发式算法实现模型求解。结合京沪高速铁路2019年二季度运营数据,对模型及算法进行验证。优化后车站时段停站均衡指数提升12.55%,列车停站均衡指数提升9.93%;整体客座率提升1.92%。研究结果表明,基于客流画像的双层规划模型在提升铁路运输组织质量方面的有效性,为高密度客流走廊运输组织优化提供了可推广的决策支持工具。
To meet the increasing demand of passengers for high-speed railway transportation services,high speed railway is faced with the contradiction between the continuous growth of passenger flow and the lack of spatio-temporal balance of stop plan,so it is urgent to solve the collaborative optimization problem of multi-level high-density travel demand and train operation efficiency.In order to explore the optimization method of stop plan with passenger flow matching and spatio-temporal balance adaptation,a bi-level programming optimization strategy is adopted,in which the upper level model deals with the constraint of train stop frequency and the lower level model optimizes the spatio-temporal distribution of stop,and the time dimension is introduced to build a time-space network model including three dimensions of train,station and train group.A heuristic algorithm based on dynamic programming is designed to solve the model.The operation data of Beijing-Shanghai High Speed Railway in the second quarter of 2019 is used to verify the model and algorithm.After optimization,the station stop balance index increased by 12.55%,the train stop balance index increased by 9.93%,and the overall passenger load factor increased by 1.92%.The research results show that the bi-level programming model based on passenger flow portrait is effective in improving the quality of railway transportation organization,and provides a generalized decision support tool for the optimization of transportation organization in high-density passenger flow corridors.
作者
宋杰
倪少权
仲凡保
周枫烜
潘金山
SONG Jie;NI Shaoquan;ZHONG Fanbao;ZHOU Fengxuan;PAN Jinshan(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu,Sichuan 610031,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu,Sichuan 610031,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu,Sichuan 610031,China)
出处
《铁道经济研究》
2025年第3期25-37,共13页
Railway Economics Research
基金
国家重点研发计划项目(2022YFB4300502)
四川省科技计划项目(2025YFHZ0328)。
关键词
高速铁路
停站方案
客流匹配
时空均衡
时空网络
双层规划
多目标优化
启发式算法
京沪高速铁路
high-speed railway
stop plan
passenger flow matching
spatio-temporal balance
spatio-temporal network
Bi-level programming
multi-objective optimization
heuristic algorithm
Beijing-Shanghai High Speed Railway
