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Scheduling School Buses

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Author Info

  • Arthur J. Swersey

    (School of Management, Yale University, Box 1A, New Haven, Connecticut 06520)

  • Wilson Ballard

    (American Graduate School of International Management, Phoenix, Arizona 85306)

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    Abstract

    In the scheduling situation considered here, we are given a set of routes, each associated with a particular school. A single bus is assigned to each route, picking up the students and arriving at their school within a specified time window. The scheduling problem is to find the fewest buses needed to cover all the routes while meeting the time window specifications. We present two integer programming formulations of the scheduling problem and apply them to actual data from New Haven, Connecticut for two different years, as well as to 30 randomly generated problems. Linear programming relaxations of these integer programs were found to produce integer solutions more than 75 percent of the time. In the remaining cases, we found that the few fractional values can be adjusted to integer values without increasing the number of buses needed. Our method reduces the number of buses needed by about 25 percent compared to the manual solutions developed by the New Haven school bus scheduler.

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    File URL: http://dx.doi.org/10.1287/mnsc.30.7.844
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 30 (1984)
    Issue (Month): 7 (July)
    Pages: 844-853

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    Handle: RePEc:inm:ormnsc:v:30:y:1984:i:7:p:844-853

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    Related research

    Keywords: programming: integer; applications; programming: linear relaxation of integer programs; education systems: operations;

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    Cited by:
    1. Wang, Xiubin & Regan, Amelia C., 2002. "Local truckload pickup and delivery with hard time window constraints," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 97-112, February.
    2. Kim, Byung-In & Kim, Seongbae & Park, Junhyuk, 2012. "A school bus scheduling problem," European Journal of Operational Research, Elsevier, vol. 218(2), pages 577-585.

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