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Predicting On-Time Line-Haul Performance in Scheduled Railroad Operations

Author

Listed:
  • Susan Fraley Hallowell

    (Operations Research Group, USAir, 2345 Crystal Drive, Arlington, VA 22227)

  • Patrick T. Harker

    (Department of Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104-6315)

Abstract

This paper considers the problem of predicting on-time performance on a partially double-tracked rail line with scheduled traffic. In particular, the model presented herein explicitly incorporates the uncertainty in train departure times along with more complex line structures than have been considered previously. Extensive Monte Carlo simulations are used to validate the predictions made by the proposed model under an optimal meet/pass planning process.

Suggested Citation

  • Susan Fraley Hallowell & Patrick T. Harker, 1996. "Predicting On-Time Line-Haul Performance in Scheduled Railroad Operations," Transportation Science, INFORMS, vol. 30(4), pages 364-378, November.
    • Handle: RePEc:inm:ortrsc:v:30:y:1996:i:4:p:364-378
    DOI: 10.1287/trsc.30.4.364
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    Cited by:

    1. Thomas Spanninger & Beda Büchel & Francesco Corman, 2023. "Train Delay Predictions Using Markov Chains Based on Process Time Deviations and Elastic State Boundaries," Mathematics, MDPI, vol. 11(4), pages 1-23, February.
    2. J. Medanic & M.J. Dorfman, 2002. "Efficient Scheduling of Traffic on a Railway Line," Journal of Optimization Theory and Applications, Springer, vol. 115(3), pages 587-602, December.
    3. Talebian, Ahmadreza & Zou, Bo, 2015. "Integrated modeling of high performance passenger and freight train planning on shared-use corridors in the US," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 114-140.
    4. Hallowell, Susan F. & Harker, Patrick T., 1998. "Predicting on-time performance in scheduled railroad operations: methodology and application to train scheduling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(4), pages 279-295, May.

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