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PANDA: a software tool for improved train dispatching with focus on passenger flows

Author

Listed:
  • Ralf Rückert

    (Martin-Luther-Universität Halle-Wittenberg)

  • Martin Lemnian

    (Martin-Luther-Universität Halle-Wittenberg)

  • Christoph Blendinger

    (DB Mobility Logistics AG)

  • Steffen Rechner

    (Martin-Luther-Universität Halle-Wittenberg)

  • Matthias Müller-Hannemann

    (Martin-Luther-Universität Halle-Wittenberg)

Abstract

We introduce the decision support tool PANDA (Passenger Aware Novel Dispatching Assistance). Our web-based tool is designed to provide train dispatchers with detailed real-time information about the current passenger flow and the multi-dimensional impact of waiting decisions in case of train delays. After presenting the algorithmic background and PANDA’s main features, we show how it can be utilized in a typical use case scenario for train dispatchers. Besides its practical value for train dispatchers, the framework can be used to systematically study scientific questions. Exemplarily, we use our software to experimentally analyse the influence of waiting decisions on realistic passenger flows of Deutsche Bahn. In a first experiment, we evaluate PANDA’s potential benefit for passengers. Our findings indicate that a remarkable reduction in total delay might be possible in comparison to current practice. In two additional experiments, we investigate the timing aspect of waiting decisions. Our observations suggest that the timing of waiting decisions is of crucial importance and that a carefully implemented early rerouting strategy has a significant potential to reduce resulting delays of passengers.

Suggested Citation

  • Ralf Rückert & Martin Lemnian & Christoph Blendinger & Steffen Rechner & Matthias Müller-Hannemann, 2017. "PANDA: a software tool for improved train dispatching with focus on passenger flows," Public Transport, Springer, vol. 9(1), pages 307-324, July.
    • Handle: RePEc:spr:pubtra:v:9:y:2017:i:1:d:10.1007_s12469-016-0140-0
    DOI: 10.1007/s12469-016-0140-0
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    References listed on IDEAS

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    1. Twan Dollevoet & Dennis Huisman & Marie Schmidt & Anita Schöbel, 2012. "Delay Management with Rerouting of Passengers," Transportation Science, INFORMS, vol. 46(1), pages 74-89, February.
    2. Leo Kroon & Gábor Maróti & Lars Nielsen, 2015. "Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows," Transportation Science, INFORMS, vol. 49(2), pages 165-184, May.
    3. Michael Schachtebeck & Anita Schöbel, 2010. "To Wait or Not to Wait---And Who Goes First? Delay Management with Priority Decisions," Transportation Science, INFORMS, vol. 44(3), pages 307-321, August.
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    Cited by:

    1. Yongqiu Zhu & Rob M. P. Goverde, 2019. "Dynamic Passenger Assignment for Major Railway Disruptions Considering Information Interventions," Networks and Spatial Economics, Springer, vol. 19(4), pages 1249-1279, December.
    2. Schön, Cornelia & König, Eva, 2018. "A stochastic dynamic programming approach for delay management of a single train line," European Journal of Operational Research, Elsevier, vol. 271(2), pages 501-518.
    3. König, Eva & Schön, Cornelia, 2021. "Railway delay management with passenger rerouting considering train capacity constraints," European Journal of Operational Research, Elsevier, vol. 288(2), pages 450-465.
    4. Eva König, 2020. "A review on railway delay management," Public Transport, Springer, vol. 12(2), pages 335-361, June.

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