AbstractOften, the carrier/shipper of hazardous materials is interested in a collection of routes with approximately the same performance so that they can switch between different routes to avoid exposing the same population and potentially as a security measure. We develop a K shortest path algorithm for which the performance of each highway facility, with respect to each objective, can be stochastic and can vary over time. We also devise a mixed integer program to identify a subset of paths, which represents an acceptable trade-off between geographic diversity and performance. These models are then applied to a realistic case study.


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    Titel :

    Identifying geographically diverse routes for the transportation of hazardous materials


    Beteiligte:
    Dadkar, Yashoda (Autor:in) / Jones, Dean (Autor:in) / Nozick, Linda (Autor:in)


    Erscheinungsdatum :

    2006-10-19


    Format / Umfang :

    17 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch