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Vehicle and Crew Scheduling for Flexible Bus Transportation Systems

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  • Boyer, Vincent
  • Ibarra-Rojas, Omar J.
  • Ríos-Solís, Yasmín Á.

Abstract

This article deals with the Flexible Vehicle and Crew Scheduling Problem faced by urban bus transport agencies that have to assign their resources (vehicles and drivers) to cover timetables generated at the tactical level. We aim for high quality and fast to compute solutions for this problem, considering vehicle characteristics, driver qualifications requirements for each line, and labor regulations, that is, drivers have a limited duty length, mandatory rests, a restricted consecutive driving time, and a limited extra working hours. Moreover, the starting time of the drivers shift is not fixed a priori and the breaks can be allocated anywhere in the schedule as long as labor regulations are satisfied. Thus, flexibility is required to compute drivers duty but it is also needed in scenarios where the available number of drivers and vehicles changes almost everyday. We propose a mixed-integer linear programming model and a variable neighborhood search for this problem and show the efficiency of our approaches with a large set of instances.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:112:y:2018:i:c:p:216-229
    DOI: 10.1016/j.trb.2018.04.008
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    References listed on IDEAS

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    1. András Kéri & Knut Haase, 2007. "Vehicle and Crew Scheduling with Flexible Timetable," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 339-342, Springer.
    2. de Groot, S.W. & Huisman, D., 2004. "Vehicle and crew scheduling: solving large real-world instances with an integrated approach," Econometric Institute Research Papers EI 2004-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. 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.
    4. Freling, R. & Huisman, D. & Wagelmans, A.P.M., 2000. "Applying an Integrated Approach to Vehicle and Crew Scheduling in Practice," ERIM Report Series Research in Management ERS-2000-31-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.
    5. 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.
    6. Knut Haase & Guy Desaulniers & Jacques Desrosiers, 2001. "Simultaneous Vehicle and Crew Scheduling in Urban Mass Transit Systems," Transportation Science, INFORMS, vol. 35(3), pages 286-303, August.
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    Cited by:

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