Timetable Rescheduling for High-Speed Railways Considering Dynamical Train Groups in Case of Disturbances

Abstract

High-speed railways are susceptible to emergencies that may cause trains to deviate from their original timetable. How to restore the disrupted timetable to normal conditions as soon as possible in case of disturbances is an important concern. This paper studies the dynamic rescheduling method of train groups in virtual coupling mode by considering a strategy for adjacent trains to depart the station. The mixed-integer linear programming (MILP) timetable rescheduling model is formulated taking into account the dynamical train groups. Five stations of the Beijing-Shanghai high-speed railway are used to verify the proposed method. The experiment results show that the timetable rescheduling method considering dynamical train groups under virtual coupling mode can reduce the average delay time and the number of delayed trains while reducing the impact caused by disturbances.