An extended second-order macroscopic traffic flow model is presented that describes multi-lane traffic dynamics and also incorporates the effects of adaptive cruise control (ACC) or cooperative ACC (CACC). The extended model equations stem from a recently proposed multi-lane gas-kinetic traffic flow (GKT) model that can simulate lane changes due to vehicle interactions as well as spontaneous ones. The proposed extension that models the effects of ACC/CACC satisfies the time-gap principle of such systems on each lane and allows for consideration of mixed traffic comprising both manual and ACC/CACC vehicles. Numerical simulations are performed for a particular three-lane motorway stretch in the United Kingdom, where recurrent traffic congestion is observed during the morning peak hours, so as to compare the effects of ACC/CACC in the traffic flow conditions with those resulting from manual driving.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Macroscopic Multi-Lane Traffic Flow Model for ACC/CACC Traffic Dynamics


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    07.07.2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Macroscopic Modelling and Simulation of ACC and CACC Traffic

    Nikolos, Ioannis K. / Delis, Anargiros I. / Papageorgiou, Markos | IEEE | 2015


    CACC fleet cooperative lane changing control method in mixed traffic flow environment

    LONG KEJUN / YIN YANDUO / GAO ZHIBO et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Simulation of the penetration rate effects of ACC and CACC on macroscopic traffic dynamics

    Delis, Anargiros I. / Nikolos, Ioannis K. / Papageorgiou, Markos | IEEE | 2016


    Macroscopic Traffic Flow Model Calibration for Lane-free Automated Vehicle Traffic

    Papamichail, Ioannis / Schoenn-Anchling, Nicolas / Malekzadeh, Milad et al. | IEEE | 2023