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A Probabilistic Model of Bus Route Performance

Author

Listed:
  • Warren B. Powell

    (Princeton University, Princeton, New Jersey)

  • Yosef Sheffi

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

This paper addresses the problem of describing bus route performance as a first step toward developing strategies for improving service reliability. Previous work in the area has consisted of costly simulation models or analytical treatments of highly simplified problems. An alternative approach is proposed here based on the idea of numerically calculating probability distributions of the time each bus arrives to and departs from each stop. A set of recursive relationships is developed, together with a reasonable set of assumptions, which allows the efficient calculation of all the necessary distributions. An important feature of the model is that it incorporates the effect of the trajectory of one bus on that of the following bus, thereby modeling the well known phenomenon of bus bunching. Numerical experiments demonstrate that the model performs quite well in this respect. It is expected that the methodology will be extremely cost effective, and without the statistical problems associated with interpreting the outputs of a simulation model.

Suggested Citation

  • Warren B. Powell & Yosef Sheffi, 1983. "A Probabilistic Model of Bus Route Performance," Transportation Science, INFORMS, vol. 17(4), pages 376-404, November.
  • Handle: RePEc:inm:ortrsc:v:17:y:1983:i:4:p:376-404
    DOI: 10.1287/trsc.17.4.376
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    Citations

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    Cited by:

    1. Vee-Liem Saw & Lock Yue Chew, 2020. "No-boarding buses: Synchronisation for efficiency," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-34, March.
    2. Carey, Malachy, 1998. "Optimizing scheduled times, allowing for behavioural response," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 329-342, June.
    3. Carey, Malachy & Kwiecinski, Andrzej, 1995. "Properties of expected costs and performance measures in stochastic models of scheduled transport," European Journal of Operational Research, Elsevier, vol. 83(1), pages 182-199, May.
    4. Rietveld, P. & Bruinsma, F. R. & van Vuuren, D. J., 2001. "Coping with unreliability in public transport chains: A case study for Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 539-559, July.
    5. Rietveld, P. & Bruinsma, F.R. & Vuuren, D.J. van, 1999. "Coping with unreliability in public transport chains," Serie Research Memoranda 0031, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Mark D. Hickman, 2001. "An Analytic Stochastic Model for the Transit Vehicle Holding Problem," Transportation Science, INFORMS, vol. 35(3), pages 215-237, August.

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