应对通过能力下降的地铁列车运行协同调整优化方法  

Collaborative Metro Train Rescheduling Optimization Method to Relieve Reduction of Passing Capacity

作　　者：张翕然 安爱民 陈绍宽[1,3] 杨安安 陈哲轩 王卓[1] ZHANG Xiran;AN Aimin;CHEN Shaokuan;YANG Anan;CHEN Zhexuan;WANG Zhuo(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China;Standards&Metrology Research Institute,China Academy of Railway Sciences Corporation,Limited,Beijing 100081,China;Integrated Transport Research Center of China,Beijing Jiaotong University,Beijing 100044,China;Beijing Intelligent Transportation Development Center,Beijing 100161,China)

机构地区：[1]北京交通大学交通运输部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 [2]中国铁道科学研究院集团有限公司标准计量研究所,北京100081 [3]北京交通大学中国综合交通研究中心,北京100044 [4]北京市智慧交通发展中心,北京100161

出　　处：《铁道学报》2023年第5期12-20,共9页Journal of the China Railway Society

基　　金：北京市自然科学基金(L191023)。

摘　　要：在地铁网络化运营条件下,突发事件影响列车运行并导致线网内乘客的出行时间显著增加。为应对单个线路区间通过能力下降的问题,采用小交路折返、暂停运行和上线运行3种策略调整故障线路时刻表,并利用缓冲时间协同调整与故障线路直接相连的其他线路。考虑列车运行安全、配线占用、车底接续等约束,构建以最小化乘客出行时间为目标的列车运行协同调整优化模型;根据策略选择方案和调整后的时刻表构建时空网络,更新乘客的路径选择;结合量子粒子群算法、时刻表推算算法和改进的Floyd算法求解模型。以某市地铁部分线网为例,结果表明:列车运行协同调整明显减少故障发生后乘客的出行时间,提高线网换乘效率,缓解故障线路换乘站的客流压力;故障发生在靠近线路中部的区间时,线网有较强的抗风险能力。Under the condition of network operation in metro systems,unexpected emergencies affect train operation and significantly increase the travel time of passengers.In order to address the reduction of passing capacity of a single line section,the train timetable for a failure line was rescheduled by strategies including short-turning,suspending operation and re-operating,and timetables of lines connected with the failure line were cooperatively adjusted with a buffer time.A collaborative train rescheduling model aiming to minimize the travel time of passengers was proposed through considering the constraints including operation safety,occupation of sidings and rolling stock circulation.The routings of passengers were updated by a space-time network built based on rescheduling strategies and rescheduled timetables.A solution algorithm incorporating the quantum particle swarm optimization algorithm,timetable recalculation algorithm and an improved Floyd algorithm was addressed to solve the proposed model.The results from a case study based on a partial metro network in a city show that the proposed method is able to significantly reduce the travel time of passengers during a failure period.Besides,the transfer efficiency of network is improved and the pressure of passenger flow on transfer stations along a failure line is relieved.The stability of a metro network is strong when disruption occurs in a section near the middle of a line.

关 键 词：城市轨道交通 运行调整 协同调整 量子粒子群算法 乘客路径 

分 类 号：U292.4[交通运输工程—交通运输规划与管理]