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.

Additional Metadata
Keywords Railway Operations, Disruption Management, Algorithmic Framework
Persistent URL hdl.handle.net/1765/78719
Series Econometric Institute Research Papers
Grant This work was funded by the European Commission 7th Framework Programme; grant id fp7/285243 - Optimal Networks for Train Integration Management across Europe (ON-TIME)
Citation
Dollevoet, T.A.B, Huisman, D, Kroon, L.G, Veelenturf, L.P, & Wagenaar, J.C. (2015). An Iterative Framework for Real-time Railway Rescheduling (No. EI2015-28). Econometric Institute Research Papers. Retrieved from http://hdl.handle.net/1765/78719