An Overview of Recovery Models for Real-time Railway Rescheduling

Valentina Cacchiani, Dennis Huisman (), Martin Kidd, Leo Kroon, Paolo Toth, Lucas Veelenturf and Joris Wagenaar

Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute

Abstract: __ Abstract __ This paper presents an overview of recovery models and algorithms for real-time railway disturbance and disruption management. This area is currently an active research area in Operations Research, including real-time timetable rescheduling and real-time rescheduling of the rolling stock and crew duties. These topics are addressed in this paper. Also research dealing with the integration of more than one rescheduling phase is discussed. Currently, the developed methods have been tested mainly in an experimental setting, thereby showing promising results, both in terms of their solution quality and in terms of their computation times. The application of these models and algorithms in real-life railway systems will be instrumental for increasing the quality of the provided railway services, leading to an increased utilization of the involved railway systems.

Keywords: railway scheduling; recovery models; railway systems (search for similar items in EconPapers)
Date: 2013-11-01
New Economics Papers: this item is included in nep-tre
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