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An overview of recovery models and algorithms for real-time railway rescheduling.

Authors :
Cacchiani, Valentina
Huisman, Dennis
Kidd, Martin
Kroon, Leo
Toth, Paolo
Veelenturf, Lucas
Wagenaar, Joris
Source :
Transportation Research Part B: Methodological. May2014, Vol. 63, p15-37. 23p.
Publication Year :
2014

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01912615
Volume :
63
Database :
Academic Search Index
Journal :
Transportation Research Part B: Methodological
Publication Type :
Academic Journal
Accession number :
95627013
Full Text :
https://doi.org/10.1016/j.trb.2014.01.009