Dynamic traffic assignment (DTA) applications require traffic signal control data that are typically difficult to obtain and cumbersome to code in the required format. In addition, the evaluation of future scenarios requires future traffic signal settings consistent with the forecast demand. These signal settings are not known a priori and are costly to estimate. Intuitively, future signal timings need to be reasonably optimized so as to represent what the traffic management agency will do. In the literature, integration between traffic control and DTA models has been formulated as a bi-level or single-level optimization problem with system or user optimal constraints. Most existing solution procedures require certain nested structure with an inner-loop algorithm solving the problem of user-equilibrium or system-optimal assignment and the outer-loop algorithm searching for the optimal signal-timing settings. Most of these solution approaches remain only research tools without practical use because of computational intractability. This research proposes an efficient solution algorithm to the problem. An adaptive traffic signal control model is embedded in a simulation-based DTA model. For each inbound approach at an intersection of interest, the adaptive model uses upstream information and a dynamic rolling-horizon approach to project traffic flow conditions for a dynamic but short (projection) period. The adaptive model provides the signal settings during the entire process of traffic flow simulation and for every iteration of the solution algorithm. Thus, during the entire solution process, the experienced travel times and resulting traffic assignment flows are based on the adaptive (demand-responsive) signal settings, allowing the DTA flows and the adaptive signal settings to be generated simultaneously in a single-loop algorithmic structure. Simulation experiments illustrate the capabilities of the proposed approach.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Traffic Control for Large-Scale Dynamic Traffic Assignment Applications


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Paz, Alexander (Autor:in) / Chiu, Yi-Chang (Autor:in)


    Erscheinungsdatum :

    2011-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Dynamic Traffic Assignment and Dynamic Traffic Control

    Smith, M. J. / Ghali, M. O. | British Library Conference Proceedings | 1990



    Integration of Dynamic Traffic Assignment with Real-Time Traffic Adaptive Control System

    Gartner, N. H. / Stamatiadis, C. / National Research Council; Transportation Research Board | British Library Conference Proceedings | 1998


    Combining Traffic Assignment and Adaptive Control in a Dynamic Traffic Management System

    Gartner, N. H. / Stamatiadis, C. / International Federation of Automatic Control | British Library Conference Proceedings | 2001