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Application of an iterative framework for real-time railway rescheduling

Authors :
Twan Dollevoet
Leo Kroon
Joris Wagenaar
Dennis Huisman
Lucas P. Veelenturf
Operations Planning Acc. & Control
Econometrics
Department of Technology and Operations Management
Source :
Computers & Operations Research, 78, 203-217. Elsevier, Computers and Operations Research, 78, 203-217. Elsevier Ltd.
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

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 the application of an iterative framework in which all these 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 case study shows that the framework and the existing rescheduling approaches can be of great value in practice. HighlightsWe present an iterative framework for real-time railway disruption management.Our framework reschedules the timetable, the rolling stock, and the crew.Our approach is tested on a huge set of real-world instances from the Netherlands.The framework converges within few iterations for all test instances.

Details

ISSN :
03050548
Volume :
78
Database :
OpenAIRE
Journal :
Computers & Operations Research
Accession number :
edsair.doi.dedup.....89143e75fa2db63780f1ac974c67a553
Full Text :
https://doi.org/10.1016/j.cor.2016.08.011