Research status and prospects of train timetable rescheduling in emergency situations

ZHANG Xiran; LI Zhengzhong; CHEN Shaokuan

doi:10.11860/j.issn.1673-0291.20240063

Abstract：In recent years,with the expansion of rail transit networks and increasing complexity,along with the growing passenger demand,the operational load of the system has risen,while operational re-silience has decreased.The negative impacts of emergencies,such as train delays and operational dis-ruptions,have become more severe.There is an urgent need to study timetable rescheduling optimiza-tion methods to assist in decision-making,improve the quality of rescheduling schemes,and reduce the negative impacts of emergencies.This paper applies the bibliometric method to analyze the research hotspots related to timetable rescheduling.It categorizes studies on single-line rescheduling under disturbances or disruptions,focusing on scenarios involving minor disturbances and severe dis-ruptions.Related research is further categorized based on train operation or passenger behavior,track equipment or train failures,static or dynamic input parameters,and micro or macro modelling perspec-tives.Regarding rescheduling problems under multi-line conditions,the paper first reviews studies that reschdule the timetable of only the affected lines.It then discusses multi-line collaborative resched-uling for failure and non-failure lines,based on both split-line operation and cross-line operation modes.Future research directions are suggested in five areas:enhancing the typicality of emergency scenarios,integrating more deeply with actual operational needs,improving the robustness of resched-uling solutions,flexible combining and applying multiple strategies,and enhancing the model-solving efficiency.The results indicate that the research on timetable rescheduling began with train delay propagation theory and has evolved from single-line rescheduling to multi-line collaborative reschedul-ing.Among them,the optimization methods for single-line rescheduling are widely applied,How-ever,most existing multi-line collaborative rescheduling methods are focused on intercity rail sys-tems,and are challenging to implement in urban rail transit systems due to their unique characteristics.