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Application of an iterative framework for real-time railway rescheduling
- 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.
- Subjects :
- 050210 logistics & transportation
021103 operations research
General Computer Science
Operations research
Computer science
05 social sciences
0211 other engineering and technologies
Crew
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
Management Science and Operations Research
Iterative framework
Modeling and Simulation
Disruption management
0502 economics and business
Railway operations
Algorithmic framework
Simulation
Subjects
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