Traditional rolling stock rescheduling applications either treat passengers as static objects whose influence on the system is unchanged in a disrupted situation, or they treat passenger behavior as a given input. In case of disruptions however, we may expect the flow of passengers to change significantly. In this paper we present a model for passenger flows during disruptions and we describe an iterative heuristic for optimizing the rolling stock to the disrupted passenger flows. The model is tested on realistic problem instances of NS, the major operator of passenger trains in the Netherlands.

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Keywords disruption management, passenger flows, passenger railways, rolling stock
Publisher Erasmus Research Institute of Management (ERIM)
Persistent URL
Kroon, L.G., Maroti, G., & Nielsen, L.K.. (2010). Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows (No. ERS-2010-045-LIS). ERIM report series research in management Erasmus Research Institute of Management. Erasmus Research Institute of Management (ERIM). Retrieved from