Highlights Proposing a vehicle holding model for more reliable intermodal freight transfers. Modeling correlated vehicle arrivals with multivariate distributions. Analyzing implications of delay propagations in real-time decision processes. Expectation of the total cost is not affected by the correlations. Positive correlations among vehicle arrivals can reduce the decision risk.

    Abstract We propose a vehicle holding method for mitigating the effect of service disruptions on coordinated intermodal freight operations. We extend existing studies mainly by (1) modeling correlations among vehicle arrivals and (2) considering decision risks with a mean-standard deviation optimization model. We prove that the expected value of the total cost in our proposed formulation is not affected by the correlations, while the variance can be miscomputed when arrival correlations are neglected. We also identify some implications of delay propagation when optimizing vehicle holding decisions in real-time. We provide general criteria for determining the boundary of the affected region and length of the numerical search, based on the frequency of information updates. Theoretical analyses are supported by three numerical examples.


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    Title :

    Holding decisions for correlated vehicle arrivals at intermodal freight transfer terminals


    Contributors:


    Publication date :

    2016-05-01


    Size :

    23 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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