Train Rescheduling of Urban Rail Transit Under Bi-Direction Disruptions in Operation Section

Abstract

As urban rail transit systems expand rapidly and passenger volumes grow, disruptions in operations increasingly occur, leading to adverse effects such as train delays and passenger retention. This paper introduces an organizational scheme to address train rescheduling in urban rail transit during bidirectional operational disruptions. It uses crossovers for short-turning services on either side of the disruption. Train rescheduling following a disruption is categorized into three stages: the disruption response phase, the disruption duration phase, and the recovery phase. This study presents a cooperative adjustment model for the network train timetable with the optimization objectives of reducing total passenger waiting time and the penalty time incurred from exceeding train capacity. The model considers the interrupted line and other lines connected to the interrupted line, employing a genetic algorithm for solution. Real operational data from a local subway line in a city are used as an example to adjust the train operation of urban rail transit with the bidirectional interruption. The results show that the short-turning strategy can better ensure the service level under the urban rail transit disruptions. Furthermore, the network train timetable collaborative adjustment model outperforms strategies that only modify the timetable of the disrupted line, effectively reducing both total passenger waiting time and penalty time for exceeding train capacity. This approach enhances operational efficiency and service levels in urban rail transit.