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Railyard Modeling: Part I. Prediction of Put-Through Time

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  • E. R. Petersen

    (Queen's University, Kingston, Canada)

Abstract

An analytic model of railyards has been developed and is reported in two separate studies (Parts I and II). This paper (Part I) is a macroview of yards describing the major operations performed within a yard and how different yards may be classified for modeling purposes. The yard operations are analyzed as queuing phenomena and modeled using known queuing relations. These queuing models are then used to calculate the probability distribution of put-through times, and their moments, for each major type of traffic. These, distributions are compared with observed histograms. Part II will describe how the process rates in the queuing models are related to the physical configuration of the yard, the yard resources, the marshaling rules, and the traffic intensities.

Suggested Citation

  • E. R. Petersen, 1977. "Railyard Modeling: Part I. Prediction of Put-Through Time," Transportation Science, INFORMS, vol. 11(1), pages 37-49, February.
    • Handle: RePEc:inm:ortrsc:v:11:y:1977:i:1:p:37-49
    DOI: 10.1287/trsc.11.1.37
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    Cited by:

    1. Boysen, Nils & Fliedner, Malte & Jaehn, Florian & Pesch, Erwin, 2012. "Shunting yard operations: Theoretical aspects and applications," European Journal of Operational Research, Elsevier, vol. 220(1), pages 1-14.
    2. Ruf, Moritz & Cordeau, Jean-François, 2021. "Adaptive large neighborhood search for integrated planning in railroad classification yards," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 26-51.
    3. Zhimei Wang & Avishai Ceder, 2017. "Efficient design of freight train operation with double-hump yards," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1600-1619, December.
    4. Lin, Bo-Liang & Wang, Zhi-Mei & Ji, Li-Jun & Tian, Ya-Ming & Zhou, Guo-Qing, 2012. "Optimizing the freight train connection service network of a large-scale rail system," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 649-667.
    5. Shi, Tie & Zhou, Xuesong, 2015. "A mixed integer programming model for optimizing multi-level operations process in railroad yards," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 19-39.

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