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A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation

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  • Andreas Bärmann

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Alexander Martin

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Oskar Schneider

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Abstract

We investigate the problem of designing energy-efficient timetables for railway traffic. More precisely, we slightly adapt a given timetable draft before it is published by moderately shifting the departure times of the trains at the stations. To this end, we propose a mixed-integer programming model for feasible adaptations of the timetable draft and investigate its behaviour under different objective functions which fall into two classes: reducing the energy cost and increasing the stability of the power supply system. These tests are performed on real-world problem instances from our industry partner Deutsche Bahn AG. They show a significant potential for improvements in the existing railway timetables.

Suggested Citation

  • Andreas Bärmann & Alexander Martin & Oskar Schneider, 2017. "A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation," Public Transport, Springer, vol. 9(1), pages 95-113, July.
    • Handle: RePEc:spr:pubtra:v:9:y:2017:i:1:d:10.1007_s12469-017-0160-4
    DOI: 10.1007/s12469-017-0160-4
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    References listed on IDEAS

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    1. Cacchiani, Valentina & Toth, Paolo, 2012. "Nominal and robust train timetabling problems," European Journal of Operational Research, Elsevier, vol. 219(3), pages 727-737.
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    3. Scheepmaker, Gerben M. & Goverde, Rob M.P. & Kroon, Leo G., 2017. "Review of energy-efficient train control and timetabling," European Journal of Operational Research, Elsevier, vol. 257(2), pages 355-376.
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    5. Brunilde Sansó & Pierre Girard, 1997. "Instantaneous Power Peak Reduction and Train Scheduling Desynchronization in Subway Systems," Transportation Science, INFORMS, vol. 31(4), pages 312-323, November.
    6. Kan Fang & Nelson Uhan & Fu Zhao & John Sutherland, 2013. "Flow shop scheduling with peak power consumption constraints," Annals of Operations Research, Springer, vol. 206(1), pages 115-145, July.
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    Cited by:

    1. Andreas Bärmann & Alexander Martin & Oskar Schneider, 2021. "Efficient Formulations and Decomposition Approaches for Power Peak Reduction in Railway Traffic via Timetabling," Transportation Science, INFORMS, vol. 55(3), pages 747-767, May.
    2. Andreas Bärmann & Patrick Gemander & Alexander Martin & Maximilian Merkert, 2022. "On Recognizing Staircase Compatibility," Journal of Optimization Theory and Applications, Springer, vol. 195(2), pages 449-479, November.

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