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

Authors

Valentina Cacchiani
Dennis Huisman
Martin Kidd
Leo Kroon
Paolo Toth
Lucas Veelenturf
Joris Wagenaar

Document Type

Journal Article

Publication Date

2014

Subject Area

mode - rail, organisation - management, operations - scheduling

Keywords

Railway rescheduling, Real-time, Optimization models and algorithms, Disturbances and disruptions, Review paper

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.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part B Home Page:

http://www.sciencedirect.com/science/journal/01912615

Recommended Citation

Cacchiani, V., Huisman, D., Kidd, M., Kroon, L., Toth, P., Veelenturf, L., and Wagenaar, J., (2014). An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Research Part B: Methodological Volume 63, May 2014, Pages 15–37.