The main aim of this paper is to use multi-class macroscopic traffic flow and emission models for Model Predictive Control (MPC) for traffic networks. In particular, we use and compare extended versions of multi-class METANET, FASTLANE, multi-class VT-macro, and multi-class VERSIT+. In addition, end-point penalties based on these multi-class traffic flow and emission models are also included in the objective function of MPC to account for the behavior of the traffic system beyond the prediction horizon. A simulation experiment is implemented to evaluate the multi-class models. The results show that the approaches based on multi-class METANET and the extended emission models (multi-class VT-macro or multi-class VERSIT+) can improve the control performance for the total time spent and the total emissions with respect to the non-control case, and they are more capable of dealing with the queue length constraints than the approaches based on FASTLANE. Including end-point penalties can further improve the control performance with a small sacrifice in the computational efficiency for the approaches based on multi-class METANET but not for the approaches based on FASTLANE.


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    Titel :

    Model Predictive Control for Freeway Networks Based on Multi-Class Traffic Flow and Emission Models


    Beteiligte:
    Liu, Shuai (Autor:in) / Hellendoorn, Hans (Autor:in) / De Schutter, Bart (Autor:in)


    Erscheinungsdatum :

    2017-02-01


    Format / Umfang :

    1232995 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Multi-class traffic flow and emission control for freeway networks

    Shuai Liu, / De Schutter, Bart / Hellendoorn, Hans | IEEE | 2013


    Vehicle Class–Specific Route Guidance of Freeway Traffic by Model-Predictive Control

    Schreiter, Thomas / Landman, Ramon L. / van Lint, J. W. C. (Hans) et al. | Transportation Research Record | 2012