To maintain an internally consistent representation with actual traffic conditions, this paper presents an origin–destination (O-D) demand consistency-checking and updating model for online dynamic traffic assignment operation. Both predictive and reactive approaches are proposed to minimize the deviations between simulated states and real-world observations and O-D demand adjustment magnitude. The two objectives are combined into a weighted linear quadratic function to construct a guaranteed overdetermined optimization problem. Alternative recursive solution algorithms are presented to design an efficient feedback controller that regulates the demand input for the real-time dynamic traffic assignment simulator. The proposed model is tested with field data from the Irvine test bed network.


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    Titel :

    Online Consistency Checking and Origin–Destination Demand Updating


    Untertitel :

    Recursive Approaches with Real-Time Dynamic Traffic Assignment Operator


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    01.01.2005




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch