Evaluating the rescheduled timetable with time-dependent passenger demands during disruptions

Maintaining high operation performance and at the same time having high transporting capacity is a challenge for urban rail lines during unexpected disruption. In this paper, we focus on adjusting the train timetable in case of a complete blockage with fixed disruption length. A mixed integrated linear train rescheduling model, where short-turning, cancelling and adjustable dwell time and running time are included, is proposed to minimize total train delays and services cancellation under different dispatcher’s reaction time towards disruption. To evaluate the train rescheduling impacts on passengers, we later establish an accurate passenger flow model considering time-dependent passenger ODs. The main objective is to minimizing passenger travel time. A case study is carried out for the disruption scenarios on Beijing Metro Line 7. It is illustrated that optimal rescheduling solution is sensitive to reaction time. Shorter reaction time mitigates train delays as well as passengers’ travel time. Longer reaction time increases the numbers of affected train services during the disruption and make it more difficult recover to original timetable.

[1]  Rodrigo Fernandez,et al.  On passenger saturation flow in public transport doors , 2015 .

[2]  Lucas P. Veelenturf,et al.  Real-time high-speed train rescheduling in case of a complete blockage , 2015 .

[3]  Lucas P. Veelenturf,et al.  Passenger oriented railway disruption management by adapting timetables and rolling stock schedules , 2017 .

[4]  Ziyou Gao,et al.  Service-oriented train timetabling with collaborative passenger flow control on an oversaturated metro line: An integer linear optimization approach , 2018 .

[5]  Leo Kroon,et al.  Rescheduling a metro line in an over-crowded situation after disruptions , 2016 .

[6]  Leo Kroon,et al.  A rolling horizon approach to the high speed train rescheduling problem in case of a partial segment blockage , 2016 .

[7]  Oded Cats,et al.  Railway disruption timetable: Short-turnings in case of complete blockage , 2016, 2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT).

[8]  Rob M.P. Goverde,et al.  Designing alternative railway timetables under infrastructure maintenance possessions , 2017 .

[9]  Rob M.P. Goverde,et al.  Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions , 2019, Transportation Research Part B: Methodological.

[10]  Maria Davidich,et al.  Waiting zones for realistic modelling of pedestrian dynamics: A case study using two major German railway stations as examples , 2013 .

[11]  Narayan Rangaraj,et al.  Modelling disruptions and resolving conflicts optimally in a railway schedule , 2013, Comput. Ind. Eng..

[12]  Xuesong Zhou,et al.  Optimizing urban rail timetable under time-dependent demand and oversaturated conditions , 2013 .

[13]  Norio Tomii,et al.  An optimal delay management algorithm from passengers' viewpoints considering the whole railway network , 2011, J. Rail Transp. Plan. Manag..

[14]  Mao Bao-hua M/G/c/c-based Model of Passenger Evacuation Capacity of Stairs and Corridors in Metro Stations , 2012 .

[15]  Rob M.P. Goverde,et al.  Macroscopic multiple-station short-turning model in case of complete railway blockages , 2018 .