Robust real-time traffic management methodologies are needed to respond to freeway congestion caused by unexpected incidents. A multistage stochastic mathematical model with recourse is introduced to compute and disseminate real-time traffic control actions, which account for system uncertainties such as demand variation and incident severity. The benefits include the provision of a priori robust traffic control actions that are ideal under all circumstances of system uncertainties across all considered time periods, with significant reduction in the online computational effort. As a result, more insights on the relationship between traffic control actions and network properties across time periods are obtained.


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    Titel :

    Multistage Stochastic System Optimum Dynamic Traffic Assignment Program with Recourse for Incident Traffic Management


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    01.01.2001




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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