摘要
随着我国高速铁路快速发展,“八纵八横”高铁路网加密成型,呈现出运行环境复杂、行车密度高及长交路跨线运营等典型特征.一旦遭受大风、红光带、接触网挂异物和设备故障等突发事件,则将导致列车偏离运行计划,进而影响到发线运用和动车组(Eletric multiple units,EMU)周转计划.如何在调整运行图的同时保证动车组和到发线运用的可行性是提高列车运行调整效率的关键.针对区间双向中断场景下到发线运用冲突和动车组接续计划失效问题,采用取消列车、变更列车到发时刻、更换到发线、备用动车组接续等策略对运行图、动车组和到发线运用计划进行调整.基于事件−活动网络建立考虑动车组接续和到发线运用的列车运行协同调整模型,设计两阶段求解方法对模型求解.运用京津城际实际数据对模型和方法进行仿真验证,结果表明相比于先到先服务(First come,first served,FCFS)策略,多计划协同调整策略能有效降低列车晚点时间.与整体求解方法相比,两阶段求解方法能够保证模型求得解的质量且有效提高模型求解效率.
With the rapid development of high-speed railways in China,the“eight vertical and eight horizontal”high-speed railway network has become denser,presenting typical characteristics such as complex operating environments,high train densities,and long-distance cross-line operations.Once facing sudden events as strong winds,red light bands,foreign objects on overhand lines and equipment failures,trains will deviate from the operating plan,which in turn affects the departure line operation and electric multiple units(EMUs)turnover plan.Ensuring the feasibility of EMUs and departure line operations while adjusting timetable is crucial to improving the efficiency of train operation adjustments.To address departure line operations conflicts and EMU connection plans failure under the scenario of bidirectional interruptions between sections,strategies as canceling trains,changing train departure times,switching departure lines,backup EMU connections are employed to adjust timetable,EMUs,and departure line operation plans.A train operation coordination adjustment model considering EMU connections and departure line operations is established based on event-activity network,a two-stage solving method is designed to solve the model.The model and method are validated using actual data from Beijing-Tianjin intercity railway,the results show that compared to“first come,first served(FCFS)”strategy,multi-plan coordination adjustment method can effectively reduce train delay time.Compared with overall solving method,the two-stage solving method can ensure the model solution quality and effectively improve the model solving efficiency.
作者
周敏
顾灏璇
董海荣
刘仁伟
刘瑄
ZHOU Min;GU Hao-Xuan;DONG Hai-Rong;LIU Ren-Wei;LIU Xuan(School of Automation and Intelligence,Beijing Jiaotong University,Beijing 100044;China Railway Beijing Group Co.,Ltd.,Beijing 100860)
出处
《自动化学报》
EI
CAS
CSCD
北大核心
2024年第8期1577-1588,共12页
Acta Automatica Sinica
基金
国家自然科学基金(61925302,U2368204,62103033)资助。
关键词
多计划协同调整
动车组周转
到发线运用
事件−活动网络
两阶段求解方法
Multi-plan collaborative rescheduling
utilization of rolling stock
arrival and departure track utilization
event-activity network
two-stage solution
