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A Crew Scheduling Approach for Public Transit Enhanced with Aspects from Vehicle Scheduling

In: Computer-aided Systems in Public Transport

Author

Listed:
  • Vitali Gintner

    (University of Paderborn)

  • Natalia Kliewer

    (University of Paderborn)

  • Leena Suhl

    (University of Paderborn)

Abstract

This paper presents a new approach for solving the crew scheduling problem in public transit. The approach is based on interaction with the corresponding vehicle scheduling problem. We use a model of the vehicle scheduling problem which is based on a time-space network formulation. An advantage of this procedure is that it produces a bundle of optimal vehicle schedules, implicitly given by the solution flow. In our approach, we give this degree of freedom to the crew scheduling phase, where a vehicle schedule is selected that is most consistent with the objectives of crew scheduling.

Suggested Citation

  • Vitali Gintner & Natalia Kliewer & Leena Suhl, 2008. "A Crew Scheduling Approach for Public Transit Enhanced with Aspects from Vehicle Scheduling," Lecture Notes in Economics and Mathematical Systems, in: Mark Hickman & Pitu Mirchandani & Stefan Voß (ed.), Computer-aided Systems in Public Transport, pages 25-42, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-73312-6_2
    DOI: 10.1007/978-3-540-73312-6_2
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    Citations

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    Cited by:

    1. Markó Horváth & Tamás Kis, 2019. "Computing strong lower and upper bounds for the integrated multiple-depot vehicle and crew scheduling problem with branch-and-price," 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. 27(1), pages 39-67, March.
    2. Bach, L. & Dollevoet, T.A.B. & Huisman, D., 2014. "Integrating Timetabling and Crew," Econometric Institute Research Papers EI 2014-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Perumal, Shyam S.G. & Lusby, Richard M. & Larsen, Jesper, 2022. "Electric bus planning & scheduling: A review of related problems and methodologies," European Journal of Operational Research, Elsevier, vol. 301(2), pages 395-413.
    4. Lukas Bach & Twan Dollevoet & Dennis Huisman, 2016. "Integrating Timetabling and Crew Scheduling at a Freight Railway Operator," Transportation Science, INFORMS, vol. 50(3), pages 878-891, August.
    5. Boyer, Vincent & Ibarra-Rojas, Omar J. & Ríos-Solís, Yasmín Á., 2018. "Vehicle and Crew Scheduling for Flexible Bus Transportation Systems," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 216-229.
    6. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.

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