Abstract Traffic incidents constitute a major cause for non-recurrent roadway congestion. This paper proposes a stochastic-programming model for clearing asymmetrical incidents in a network as quickly as possible. A response to an incident is asymmetric when the workloads among response vehicles are uneven due to real-time scheduling considerations. This is to be contrasted with a static (often conservative) allocation of vehicular resources. Such asymmetry, and the attendant efficiency, is attributable to additional services performed while a vehicle takes care of emergent incidents nearby. Other vehicles are simply too far away to be helpful. We articulate a fundamental principle of incident management in a theorem and three corollaries. An elegant (yet practical) corollary suggests that an operator should not dispatch additional response vehicles (say from a depot) when the shortest travel-times to an incident are longer than the remaining work time available from vehicles already at the scene. Otherwise, the maximum number of required vehicles should be dispatched. When executed over all instances of reported incidents on a rolling time horizon, the rule yields the optimal plan. The model is applied toward a network in Central Arkansas for peak and off-peak traffic. It shows that it can properly balance the service requirement of reported incidents with potential ones. Meanwhile, a certain reliability level can be guaranteed by our model—a threshold that can be tightened or relaxed at will. The fast solution time of this linearized model allows for real-time application in the field, as verified by a simulation performed on a Central Arkansas highway network.


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    Title :

    Stochastic incident-management of asymmetrical network-workloads


    Contributors:
    Hu, Jian (author) / Chan, Yupo (author)


    Publication date :

    2012-01-08


    Size :

    19 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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