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A multicriteria approach for optimizing bus schedules and school starting times

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  • Armin Fügenschuh
  • Alexander Martin

Abstract

In many rural counties pupils on their way to school are a large, if not the largest group of customers for public mass transit. Hence an effective optimization of public mass transit in these regions must include the traffic caused by pupils. Besides a change in the schedules of the buses and the starting times of the trips, the school starting time may become an integral part of the planning process. We discuss the legal framework for this optimization problem in German states and counties and present a multi-objective mixed-integer linear programming formulation for the simultaneous specification of school and trip starting times. For its solution, we develop a two-stage decomposition heuristic and apply it to practical data sets from three different rural German counties. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Armin Fügenschuh & Alexander Martin, 2006. "A multicriteria approach for optimizing bus schedules and school starting times," Annals of Operations Research, Springer, vol. 147(1), pages 199-216, October.
  • Handle: RePEc:spr:annopr:v:147:y:2006:i:1:p:199-216:10.1007/s10479-006-0066-z
    DOI: 10.1007/s10479-006-0066-z
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    References listed on IDEAS

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    1. Lawrence D. Bodin & Lon Berman, 1979. "Routing and Scheduling of School Buses by Computer," Transportation Science, INFORMS, vol. 13(2), pages 113-129, May.
    2. Desaulniers, Guy & Lavigne, June & Soumis, Francois, 1998. "Multi-depot vehicle scheduling problems with time windows and waiting costs," European Journal of Operational Research, Elsevier, vol. 111(3), pages 479-494, December.
    3. Ferland, Jacques A. & Fortin, Luc, 1989. "Vehicles scheduling with sliding time windows," European Journal of Operational Research, Elsevier, vol. 38(2), pages 213-226, January.
    4. Bowerman, Robert & Hall, Brent & Calamai, Paul, 1995. "A multi-objective optimization approach to urban school bus routing: Formulation and solution method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(2), pages 107-123, March.
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    2. Banerjee, Dipayan & Smilowitz, Karen, 2019. "Incorporating equity into the school bus scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 228-246.

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