An Iterative Framework for Real-time Railway Rescheduling

Twan Dollevoet, Dennis Huisman (huisman@ese.eur.nl), Leo Kroon, Lucas Veelenturf and Joris Wagenaar

No EI2015-28, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute

Abstract: Since disruptions in railway networks are inevitable, railway operators and infrastructure managers need reliable measures and tools for disruption management. Current literature on railway disruption management focuses most of the time on rescheduling one resource (timetable, rolling stock or crew) at the time. In this research, we describe an iterative framework in which all three resources are considered. The framework applies existing models and algorithms for rescheduling the individual resources. We extensively test our framework on instances from Netherlands Railways and show that schedules which are feasible for all three resources can be obtained within short computation times. This shows that the framework and the existing rescheduling approaches can be of great value in practice.

Keywords: Railway Operations; Disruption Management; Algorithmic Framework (search for similar items in EconPapers)
Pages: 28
Date: 2015-10-05
New Economics Papers: this item is included in nep-tre
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Citations: View citations in EconPapers (3)

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