A Next Step in Disruption Management: Combining Operations Research and Complexity Science

A Next Step in Disruption Management: Combining Operations Research and Complexity Science

Dekker, Mark M. (Universiteit Utrecht)
van Lieshout, Rolf N. (Erasmus Universiteit Rotterdam)
Ball, Robin C. (University of Warwick)
Bouman, Paul C. (Erasmus Universiteit Rotterdam)
Dekker, Stefan C. (Universiteit Utrecht)
Dijkstra, Henk A. (Universiteit Utrecht)
Goverde, R.M.P. (TU Delft Transport and Planning)
Huisman, Dennis (N.V. Nederlandse Spoorwegen; Erasmus Universiteit Rotterdam)
Panja, Deb (Universiteit Utrecht)
Schaafsma, Alfons A.M. (ProRail)
van den Akker, Marjan (Universiteit Utrecht)

2018

Railway systems occasionally get into a state of out-of-control, meaning that there is barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. These situations can either be caused by large disruptions or unexpected propagation and accumulation of delays. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing methods cannot be applied in out-of-control situations. Most of the contemporary approaches assume that there is only one single disruption with a known duration, that all information about the resources is available, and that all stakeholders in the operations act as expected. Another limitation is the lack of knowledge about why and how disruptions accumulate and whether this process can be predicted. To tackle these problems, we develop a multidisciplinary framework aiming at reducing the impact of these situations and - if possible - avoiding them. The key elements of this framework are (i) the generation of early warning signals for out-of-control situations using tools from complexity science and (ii) a set of rescheduling measures robust against the features of out-of-control situations, using tools from operations research.

Railway disruption management
Rescheduling
Complexity science
Operations research

http://resolver.tudelft.nl/uuid:18d519e6-c894-4124-9710-4dc6887ac324

Proceedings of CASPT 2018: 23-25 July, Brisbane, Australia

Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, 2018-07-23 → 2018-07-25, Brisbane Convention and Exhibition Centre, Brisbane, Australia

Institutional Repository

conference paper

© 2018 Mark M. Dekker, Rolf N. van Lieshout, Robin C. Ball, Paul C. Bouman, Stefan C. Dekker, Henk A. Dijkstra, R.M.P. Goverde, Dennis Huisman, Deb Panja, Alfons A.M. Schaafsma, Marjan van den Akker