Schedule-Based Passenger Assignment for High-Speed Rail Networks considering the Ticket-Booking Process

This paper proposes a schedule-based passenger assignment method for high-speed rail networks considering the ticket-booking process. Passengers book tickets to reserve seats during the presale period in high-speed rail systems and passengers on trains are determined during the ticket-booking process. The ticket-booking process is modeled as a continuous and deterministic predecision process. A solution algorithm is designed using the discretization of the continuous process by partitioning the ticket-booking time and the optimal paths remain constant in any partition interval. Finally, an application to the Chinese high-speed rail network is presented. A comparison of the numerical results with the reality is conducted to validate the efficiency and precision of the method and algorithm. Based on the results, the operating efficiency of the current train schedule is evaluated and some specific improvement measures are proposed.

[1]  Umberto Crisalli,et al.  A schedule-based assignment model with explicit capacity constraints for congested transit networks , 2012 .

[2]  Tsung-Hsien Tsai,et al.  A self-learning advanced booking model for railway arrival forecasting , 2014 .

[3]  Keith Sloan,et al.  Modelling the ability of fare to spread AM peak passenger loads using rooftops , 2011 .

[4]  Huiling Fu,et al.  A hierarchical line planning approach for a large-scale high speed rail network: The China case , 2015 .

[5]  Cinzia Cirillo,et al.  Accommodating taste heterogeneity in railway passenger choice models based on internet booking data , 2013 .

[6]  Pierluigi Coppola,et al.  Assessment of schedule-based and frequency-based assignment models for strategic and operational planning of high-speed rail services , 2016 .

[7]  Agachai Sumalee,et al.  Dynamic stochastic transit assignment with explicit seat allocation model , 2009 .

[8]  Tal Raviv,et al.  Service-Oriented Line Planning and Timetabling for Passenger Trains , 2013, Transp. Sci..

[9]  Pierluigi Coppola,et al.  An elastic demand schedule-based multimodal assignment model for the simulation of high speed rail (HSR) systems , 2012, EURO J. Transp. Logist..

[10]  Emmanuel Carrier,et al.  Modeling the choice of an airline itinerary and fare product using booking and seat availability data , 2008 .

[11]  W. Y. Szeto,et al.  A new schedule-based transit assignment model with travel strategies and supply uncertainties , 2014 .

[12]  P. Kreuzer,et al.  Optimal lines for railway systems , 1997 .

[13]  Nico M. van Dijk,et al.  Cost optimal allocation of rail passenger lines , 1998, Eur. J. Oper. Res..

[14]  Adam J. Pel,et al.  Including passengers’ response to crowding in the Dutch national train passenger assignment model , 2014 .

[15]  Qiang Zeng,et al.  The effect of train formation length and service frequency on the determination of train schedules , 2014 .

[16]  Stephane Hess,et al.  A Review on Transit Assignment Modelling Approaches to Congested Networks: A New Perspective , 2012 .