A common strategy for railway traffic management consists in the off-line development of a detailed timetable, and operating in real time with strict adherence to it. In real time, unforeseen events may require to partially modify the planned timetable. A recent trend in railway companies is for managing congested areas by planning less in the off-line phase, and solving train conflicts in real time. In this paper we investigate the concept of flexible timetable, and the relations between flexibility and delay minimization. We use a detailed model for conflict resolution, based on the alternative graph formulation, and a branch and bound algorithm for solving the problem at optimality. We compare optimal solutions computed when varying timetable flexibility. An extensive computational study on a small and complicated rail network has been carried out, based on a bottleneck area of the Dutch railway network.
D'Ariano, A., Pacciarelli, D., Pranzo, M. (2005). Flexible timetables for real-time train rescheduling. In Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005 (pp.540-549).
Flexible timetables for real-time train rescheduling
Pranzo M.
2005-01-01
Abstract
A common strategy for railway traffic management consists in the off-line development of a detailed timetable, and operating in real time with strict adherence to it. In real time, unforeseen events may require to partially modify the planned timetable. A recent trend in railway companies is for managing congested areas by planning less in the off-line phase, and solving train conflicts in real time. In this paper we investigate the concept of flexible timetable, and the relations between flexibility and delay minimization. We use a detailed model for conflict resolution, based on the alternative graph formulation, and a branch and bound algorithm for solving the problem at optimality. We compare optimal solutions computed when varying timetable flexibility. An extensive computational study on a small and complicated rail network has been carried out, based on a bottleneck area of the Dutch railway network.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1192400