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Robuste integrierte Umlauf-, Tagesdienst- und Dienstreihenfolgeplanung im ÖPNV

Author

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  • Xie, Lin
  • Kliewer, Natalia

Abstract

Der zunehmende Einsatz von Elektrobussen verändert die operative Planung von Fahrzeugen und Personal. Aufbauend auf bisherigen Forschungsergebnissen wurde ein Framework zur Modellierung von Umlauf-, Dienst- und Dienstreihenfolgeplanung entwickelt. Es integriert den nichtlinearen Nachladeprozess in die Umlaufplanung (Time-Space-Netzwerk) sowie die Ladeinfrastruktur in die Fahrzeugeinsatzplanung. Zur Bewältigung hoher Rechenzeiten wurden Column-Generation- und heuristische Verfahren ergänzt. Zur Erhöhung der Robustheit wurden Verspätungsmodelle, prädiktive Fahrzeitschätzungen und variable Flottengrößen untersucht. Ein wesentliches Ergebnis: Die Integration von Verspätungen erhöht nicht die Modellkomplexität. Prädiktive Fahrzeiten verbessern die Umlaufstabilität deutlich. Die variable Fahrzeuganzahl im Modell unterstützt die zentrale Frage: Wie viele E-Busse werden zur Bedarfsdeckung benötigt?

Suggested Citation

  • Xie, Lin & Kliewer, Natalia, 2025. "Robuste integrierte Umlauf-, Tagesdienst- und Dienstreihenfolgeplanung im ÖPNV," EconStor Research Reports 319684, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esrepo:319684
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    References listed on IDEAS

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    1. Mesquita, Marta & Moz, Margarida & Paias, Ana & Pato, Margarida, 2013. "A decomposition approach for the integrated vehicle-crew-roster problem with days-off pattern," European Journal of Operational Research, Elsevier, vol. 229(2), pages 318-331.
    2. Nils Olsen & Natalia Kliewer & Lena Wolbeck, 2022. "A study on flow decomposition methods for scheduling of electric buses in public transport based on aggregated time–space network models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 883-919, September.
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