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.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2018-07-07




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Macroscopic Modelling and Simulation of ACC and CACC Traffic

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


    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


    First order multi-lane traffic flow model – an incentive based macroscopic model to represent lane change dynamics

    Nagalur Subraveti, Hari Hara Sharan / Knoop, Victor L. / van Arem, Bart | Taylor & Francis Verlag | 2019

    Free access