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School Bus Routing in Rural School Districts

In: Computer-aided Systems in Public Transport

Author

Listed:
  • Sam R. Thangiah

    (Slippery Rock University)

  • Adel Fergany

    (Slippery Rock University)

  • Bryan Wilson

    (Slippery Rock University)

  • Anthony Pitluga

    (Slippery Rock University)

  • William Mennell

    (University of Maryland)

Abstract

The Commonwealth of Pennsylvania has the nation’s largest rural population and the Commonwealth plays an important role in providing transportation for students to travel to their respective schools. State and local governments reimburse school districts for student transportation costs in Pennsylvania. Effective policies for governing the transportation of students can result in large cost savings for the respective governments and reduced travel time for the students. This paper presents heuristics to solve a complex rural school bus routing problem using digitized road networks that can lead to cost savings for both State and local governments. The school bus routing problem addressed and solved in this paper is a mixed-fleet, multi-depot, site-dependent, split-delivery problem with side constraints. Computation of real road distances for the rural school district between pickup points, depots and schools, consisting of 4200 road segments, was done using digitized road networks obtained from the U. S. Census Bureau. Heuristic algorithms were designed and implemented to solve a school bus routing problem with real life data obtained from a rural school district. Feasible solutions to the complex rural school bus routing problem, consisting of 13 depots, 5 schools, 71 pickup points and 583 students, were obtained in less than 10 minutes of CPU time.

Suggested Citation

  • Sam R. Thangiah & Adel Fergany & Bryan Wilson & Anthony Pitluga & William Mennell, 2008. "School Bus Routing in Rural School Districts," Lecture Notes in Economics and Mathematical Systems, in: Mark Hickman & Pitu Mirchandani & Stefan Voß (ed.), Computer-aided Systems in Public Transport, pages 209-232, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-73312-6_11
    DOI: 10.1007/978-3-540-73312-6_11
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    Citations

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    Cited by:

    1. Shichao Sun & Zhengyu Duan & Qi Xu, 2018. "School bus routing problem in the stochastic and time-dependent transportation network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    2. Ezquerro Eguizábal, Sara & Moura Berodia, José Luis & Ibeas Portilla, Ángel & Benavente Ponce, Juan, 2018. "Optimization model for school transportation design based on economic and social efficiency," Transport Policy, Elsevier, vol. 67(C), pages 93-101.
    3. 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).
    4. Ellegood, William A. & Campbell, James F. & North, Jeremy, 2015. "Continuous approximation models for mixed load school bus routing," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 182-198.

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