In railway systems, unexpected disturbances often make the planned train schedule infeasible. The real-time Railway Traffic Management Problem (rtRTMP) consists in applying retiming, reordering and rerouting of trains with the aim of minimizing delay propagation. In this work, we additionally consider the option of skipping stops to further reduce delays. We extend the RECIFE-MILP model, a Mixed Integer Linear Programming based heuristic for the rtRTMP with microscopic network description, by including stop-skipping. We evaluate the benefit and impact of this rescheduling measure on train and passenger delays in a suburban railway network.

Di Cola, S., Pascariu, B., Pellegrini, P., Cacchiani, V. (2025). Stop-Skipping to Reduce Delays in Train Rescheduling. Cham : Springer [10.1007/978-3-031-90095-2_11].

Stop-Skipping to Reduce Delays in Train Rescheduling

Cacchiani V.
2025

Abstract

In railway systems, unexpected disturbances often make the planned train schedule infeasible. The real-time Railway Traffic Management Problem (rtRTMP) consists in applying retiming, reordering and rerouting of trains with the aim of minimizing delay propagation. In this work, we additionally consider the option of skipping stops to further reduce delays. We extend the RECIFE-MILP model, a Mixed Integer Linear Programming based heuristic for the rtRTMP with microscopic network description, by including stop-skipping. We evaluate the benefit and impact of this rescheduling measure on train and passenger delays in a suburban railway network.
2025
Operations Research: Closing the Gap Between Research and Practice
123
134
Di Cola, S., Pascariu, B., Pellegrini, P., Cacchiani, V. (2025). Stop-Skipping to Reduce Delays in Train Rescheduling. Cham : Springer [10.1007/978-3-031-90095-2_11].
Di Cola, S.; Pascariu, B.; Pellegrini, P.; Cacchiani, V.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1039950
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