Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows

Leo Kroon, Gábor Maróti and Lars Kjaer Nielsen

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: 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.

Keywords: disruption management; passenger flows; passenger railways; rolling stock (search for similar items in EconPapers)
JEL-codes: L15 M O32 (search for similar items in EconPapers)
Date: 2010-12-10
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Citations: View citations in EconPapers (2)

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