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Railway traffic disturbance management--An experimental analysis of disturbance complexity, management objectives and limitations in planning horizon

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  • Törnquist, Johanna

Abstract

With the increasing traffic volumes in European railway networks and reports on capacity deficiencies that cause reliability problems, the need for efficient disturbance management becomes evident. This paper presents a heuristic approach for railway traffic re-scheduling during disturbances and a performance evaluation for various disturbance settings using data for a large part of the Swedish railway network that currently experiences capacity deficiencies. The significance of applying certain re-scheduling objectives and their correlation with performance measures are also investigated. The analysis shows e.g. that a minimisation of accumulated delays has a tendency to delay more trains than a minimisation of total final delay or total delay costs. An experimental study of how the choice of planning horizon in the re-scheduling process affects the network on longer-term is finally presented. The results indicate that solutions which are good on longer-term can be achieved despite the use of a limited planning horizon. A 60Â min long planning horizon was sufficient for the scenarios in the experiments.

Suggested Citation

  • Törnquist, Johanna, 2007. "Railway traffic disturbance management--An experimental analysis of disturbance complexity, management objectives and limitations in planning horizon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 249-266, March.
  • Handle: RePEc:eee:transa:v:41:y:2007:i:3:p:249-266
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    1. Kraft, Edwin R., 1987. "A Branch and Bound Procedure for Optimal Train Dispatching," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 28(1).
    2. Hallowell, Susan F. & Harker, Patrick T., 1998. "Predicting on-time performance in scheduled railroad operations: methodology and application to train scheduling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(4), pages 279-295, May.
    3. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
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    1. Nielsen, L.K. & Maróti, G., 2009. "Disruption Management of Rolling Stock in Passenger Railway Transportation," ERIM Report Series Research in Management ERS-2009-046-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Nielsen, Lars Kjær & Kroon, Leo & Maróti, Gábor, 2012. "A rolling horizon approach for disruption management of railway rolling stock," European Journal of Operational Research, Elsevier, vol. 220(2), pages 496-509.

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