At certain urban rail transit(URT)stations,large events,emergencies,or holidays often cause a rapid surge in passenger flow,referred to as large passenger flow(LPF)events.The passenger congestion will spread quickly v...At certain urban rail transit(URT)stations,large events,emergencies,or holidays often cause a rapid surge in passenger flow,referred to as large passenger flow(LPF)events.The passenger congestion will spread quickly via transfer stations and affect other stations and lines in the URT network.This study develops a timetable rescheduling and coordinating method for the URT network under LPF events.Firstly,a collaborative adjustment model of train timetables with a backup-vehicle strategy is formulated to simultaneously consider rescheduling and coordinating problems,to reduce the congestion influence for a URT network.Then,a rolling horizon approach is developed to divide the whole adjustment problem into several decision-making stages to ensure solution efficiency.In each decision-making stage,the influence of LPF propagation within the URT network is firstly evaluated.Based on the congestion evaluation results,the proposed method determines whether it is necessary to adjust timetables of the LPF line or other lines.The proposed method is applied to the Xi’an Metro network in China.The results indicate that the proposed method can effectively evaluate and adjust the train timetables for large URT networks under LPF events.展开更多
基金supported by the National Natural Science Foundation of China(No.U2368216 and 72101184)the Shanghai Science and Technology Program(No.21JC1400600)+2 种基金the Natural Science Foundation of Shanghai(No.23ZR1467400)China Postdoctoral Science Foundation(No.2023M732645)the Shanghai Post-Doctoral Excellence Program(No.2022570).
文摘At certain urban rail transit(URT)stations,large events,emergencies,or holidays often cause a rapid surge in passenger flow,referred to as large passenger flow(LPF)events.The passenger congestion will spread quickly via transfer stations and affect other stations and lines in the URT network.This study develops a timetable rescheduling and coordinating method for the URT network under LPF events.Firstly,a collaborative adjustment model of train timetables with a backup-vehicle strategy is formulated to simultaneously consider rescheduling and coordinating problems,to reduce the congestion influence for a URT network.Then,a rolling horizon approach is developed to divide the whole adjustment problem into several decision-making stages to ensure solution efficiency.In each decision-making stage,the influence of LPF propagation within the URT network is firstly evaluated.Based on the congestion evaluation results,the proposed method determines whether it is necessary to adjust timetables of the LPF line or other lines.The proposed method is applied to the Xi’an Metro network in China.The results indicate that the proposed method can effectively evaluate and adjust the train timetables for large URT networks under LPF events.
