AbstractIn the paper a novel non-linear modeling formalism is suggested for freeway traffic flow. A second-order macroscopic model has been transformed into a Linear Parameter Varying (LPV) model. The paper proposes two LPV descriptions for traffic modeling: the first one covers completely the non-linear macroscopic dynamics, while the second one is an approximate description. Real test field topology and measurement data are used for validating the proposed modeling methodology. Simulation examples are given to compare real detector measurements, non-linear and the parameter-dependent responses.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Parameter-dependent modeling of freeway traffic flow


    Contributors:


    Publication date :

    2009-09-08


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Parameter-dependent modeling of freeway traffic flow

    Luspay, Tamás | Online Contents | 2010



    Modeling of Freeway Traffic

    Rose, Martin | DataCite | 2004


    Freeway Traffic Flow Modeling Based on Neural Network

    Xiao, J.-M. / Wang, X.-H. / IEEE | British Library Conference Proceedings | 2003


    Freeway traffic flow modeling based on neural network

    Jian-Mei Xiao, / Xi-Huai Wang, | IEEE | 2003