贯通运营下市域铁路与地铁列车开行方案协同优化  

Collaborative Optimization of Suburban Railway and Metro Train Operation Plans Under Interconnection Operational Mode

作　　者：彭其渊[1,2] 刘思源 江山[1,2] 冯涛 陈垚[4] 张永祥[1,2] PENG Qiyuan;LIU Siyuan;JIANG Shan;FENG Tao;CHEN Yao;ZHANG Yongxiang(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 610031,China;Department of Logistics and Maritime Studies,The Hong Kong Polytechnic University,Hong Kong 999077,China;Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]西南交通大学交通运输与物流学院,成都610031 [2]西南交通大学综合交通运输智能化国家地方联合工程实验室,成都610031 [3]香港理工大学,物流及航运学系,中国香港999077 [4]北京交通大学,综合交通运输大数据应用技术交通运输行业重点实验室,北京100044

出　　处：《交通运输系统工程与信息》2025年第2期36-47,共12页Journal of Transportation Systems Engineering and Information Technology

基　　金：国家重点研发计划(2022YFB4300502);国家自然科学基金(72201218);四川省科技计划(2023NSFSC0901)。

摘　　要：区域多制式轨道交通贯通运营下列车开行方案的协同优化对于提升线网的整体运输效率具有重要意义。本文建立贯通运营下市域铁路与地铁列车开行方案编制和客流分配一体化优化模型,以最小化乘客出行费用与企业运营费用之和为目标,考虑通过能力和列车载客能力、车底资源以及列车服务数量等实际约束,同时设计改进的自适应大规模邻域搜索算法进行求解,确定全线的列车开行交路,以及各交路上的列车开行频率、编组类型和停站方案,并验证算法在不同客流需求水平案例下的有效性。研究结果表明:相较于两阶段法,改进的自适应大规模邻域搜索算法能以平均234 s的计算时间得到满意解,目标函数值平均下降3.6%;与独立运营相比,贯通运营后,企业运营费用平均降低了11.3%,全线乘客和跨线乘客出行费用分别平均降低了3.9%和10.7%,跨线乘客换乘次数平均减少了18.7%,车底使用数量平均减少了14.4%;与站站停模式相比,市域铁路本线和贯通列车采用灵活停站的运营模式后,全线乘客出行费用平均降低了4.2%。本文提出的方法能够为市域铁路与地铁贯通运营开行方案编制提供辅助决策支持。The train operation plan plays a crucial role in improving the operational efficiency of regional multi-standard rail under the interconnection operational mode.This study develops an integrated optimization model for the suburban railway and metro train operation plans and passenger flow assignment under the interconnection operational mode to minimize the total of passenger travel cost and the enterprise operational cost.The model simultaneously optimizes the train service routes on the entire line,the frequency,composition types,and stopping plan of trains on each service route,where practical constraints such as carrying capacity,train capacity,rolling stock resources,and the number of train services are considered.An improved adaptive large-scale neighborhood search algorithm is designed and its effectiveness is verified through instances with different passenger demand levels.The results show that:1)The improved algorithm can provide a satisfactory solution,resulting in an average decrease of 3.6%in the objective function with an average computational time of 234 seconds compared to the two-stage approach;2)Compared to the independent operational mode,the interconnection operational mode reduces the enterprise operational cost by 11.3%,full-line and cross-line passenger travel costs respectively by 3.9%and 10.7%,the transfer times of cross-line passengers by 18.7%,and the number of rolling stocks used by 14.4%.3)Compared to the all-stop pattern,the passenger travel cost is reduced by 4.2%on average after adopting the flexible-stop pattern for the suburban railway local and cross-line trains.The proposed method provides an auxiliary decision support tool for generating the suburban railway and metro train operational plans under the interconnection operational mode.

关 键 词：城市交通 贯通运营 改进自适应大规模邻域搜索 列车开行方案 市域铁路 地铁 

分 类 号：U121[交通运输工程]