In this paper, we use empirical data to calibrate the speed-headway function and propose a car-following model to investigate the effects of real-time road condition on each vehicle’s speed, acceleration, headway, fuel consumption, CO, HC and NOX under uniform flow. Numerical results illustrate that real-time road condition produces oscillating phenomena and enhance each vehicle’s fuel consumption and exhaust emissions. These results can help researchers understand the effects of real-time road condition on the driving behavior and help traffic engineers construct the theory of homogeneous roads in order to reduce the vehicle’s fuel consumption and exhaust emissions.


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    Titel :

    A car-following model with real-time road conditions and numerical tests


    Beteiligte:
    Tang, T.Q. (Autor:in) / Li, J.G. (Autor:in) / Huang, H.J. (Autor:in) / Yang, X.B. (Autor:in)

    Erschienen in:

    Measurement ; 48 ; 63-76


    Erscheinungsdatum :

    2014


    Format / Umfang :

    14 Seiten, 41 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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