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TRACS II: a hybrid IP/heuristic driver scheduling system for public transport

Author

Listed:
  • S Fores

    (University of Leeds)

  • L Proll

    (University of Leeds)

  • A Wren

    (University of Leeds)

Abstract

We discuss the driver scheduling problem in public transport and describe a combined integer linear programming/heuristic approach to its solution. The approach has been applied successfully in many operational and planning scenarios. Recent developments in the algorithms used allow the solution of very large bus and rail problems.

Suggested Citation

  • S Fores & L Proll & A Wren, 2002. "TRACS II: a hybrid IP/heuristic driver scheduling system for public transport," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(10), pages 1093-1100, October.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:10:d:10.1057_palgrave.jors.2601271
    DOI: 10.1057/palgrave.jors.2601271
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    Citations

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    Cited by:

    1. Edmund Burke & Jingpeng Li & Rong Qu, 2012. "A Pareto-based search methodology for multi-objective nurse scheduling," Annals of Operations Research, Springer, vol. 196(1), pages 91-109, July.
    2. Raymond Kwan & Ann Kwan, 2007. "Effective search space control for large and/or complex driver scheduling problems," Annals of Operations Research, Springer, vol. 155(1), pages 417-435, November.
    3. Jihui Ma & Cuiying Song & Avishai (Avi) Ceder & Tao Liu & Wei Guan, 2017. "Fairness in optimizing bus-crew scheduling process," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-19, November.
    4. 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.
    5. Heil, Julia & Hoffmann, Kirsten & Buscher, Udo, 2020. "Railway crew scheduling: Models, methods and applications," European Journal of Operational Research, Elsevier, vol. 283(2), pages 405-425.

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