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Computer-Assisted School Bus Scheduling

Author

Listed:
  • R. D. Angel

    (Honeywall Information Systems, Inc., Waltham, Massachusetts)

  • W. L. Caudle

    (Combinatorics, Inc., Lafayette, Indiana)

  • R. Noonan

    (University of Maryland)

  • A. Whinston

    (Purdue University)

Abstract

This paper reports on an application of computer technology to a significant and costly school administration problem: the transportation of students between home and school. The problem, as it is generally thought of, has been complicated by the consideration of attempting racial balance via busing. We present an algorithm to find a feasible solution which tends to minimize the number of required routes and mileage. After setting down the basic approach used and the results of an application, we will present possible extensions of the approach to school location planning, bus fleets composition and timing conditions on particular bus stops.

Suggested Citation

  • R. D. Angel & W. L. Caudle & R. Noonan & A. Whinston, 1972. "Computer-Assisted School Bus Scheduling," Management Science, INFORMS, vol. 18(6), pages 279-288, February.
    • Handle: RePEc:inm:ormnsc:v:18:y:1972:i:6:p:b279-b288
    DOI: 10.1287/mnsc.18.6.B279
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    Citations

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    Cited by:

    1. M. Spada & M. Bierlaire & Th. M. Liebling, 2005. "Decision-Aiding Methodology for the School Bus Routing and Scheduling Problem," Transportation Science, INFORMS, vol. 39(4), pages 477-490, November.
    2. Bogdan Paşaniuc & Robert Garfinkel & Ion Măndoiu & Alex Zelikovsky, 2011. "Optimal Testing of Digital Microfluidic Biochips," INFORMS Journal on Computing, INFORMS, vol. 23(4), pages 518-529, November.
    3. Day, Jamison M. & Daniel Wright, P. & Schoenherr, Tobias & Venkataramanan, Munirpallam & Gaudette, Kevin, 2009. "Improving routing and scheduling decisions at a distributor of industrial gasses," Omega, Elsevier, vol. 37(1), pages 227-237, February.
    4. Park, Junhyuk & Kim, Byung-In, 2010. "The school bus routing problem: A review," European Journal of Operational Research, Elsevier, vol. 202(2), pages 311-319, April.
    5. Bektas, Tolga, 2006. "The multiple traveling salesman problem: an overview of formulations and solution procedures," Omega, Elsevier, vol. 34(3), pages 209-219, June.
    6. T Bektaş & Seda Elmastaş, 2007. "Solving school bus routing problems through integer programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1599-1604, December.
    7. Qu, Hong & Yi, Zhang & Tang, HuaJin, 2007. "A columnar competitive model for solving multi-traveling salesman problem," Chaos, Solitons & Fractals, Elsevier, vol. 31(4), pages 1009-1019.
    8. Dasdemir, Erdi & Testik, Murat Caner & Öztürk, Diclehan Tezcaner & Şakar, Ceren Tuncer & Güleryüz, Güldal & Testik, Özlem Müge, 2022. "A multi-objective open vehicle routing problem with overbooking: Exact and heuristic solution approaches for an employee transportation problem," Omega, Elsevier, vol. 108(C).
    9. Ellegood, William A. & Solomon, Stanislaus & North, Jeremy & Campbell, James F., 2020. "School bus routing problem: Contemporary trends and research directions," Omega, Elsevier, vol. 95(C).
    10. Kuo, Yong-Hong & Leung, Janny M.Y. & Yan, Yimo, 2023. "Public transport for smart cities: Recent innovations and future challenges," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1001-1026.

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