The car-following model is important for understanding the longitudinal behaviors of traffic flow. When it comes to adaptive cruise control (ACC) vehicles, the car-following model with constant time-gap policies is widely applied. However, its string stability is not fine based on real experimental tests conducted by PATH program. Therefore, this paper focused on proposing an ACC car-following model to improve string stability. The string stability of the proposed ACC car-following model was analytically investigated and some numerical simulations were also conducted. The results show the proposed car-following model has fine string stability properties and can mitigate disturbances well, thereby being helpful for improving safety and reducing emissions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling Car-Following Behavior for Adaptive Cruise Control Vehicles


    Beteiligte:
    Qin, Yanyan (Autor:in) / Wang, Hao (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 5613-5622


    Erscheinungsdatum :

    02.07.2019




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Energy Optimal Adaptive Cruise Control During Following of Other Vehicles

    Flehmig, Folko / Sardari, Amir / Fischer, Uta et al. | British Library Conference Proceedings | 2015


    Energy optimal Adaptive Cruise Control during following of other vehicles

    Flehmig, F. / Sardari, A. / Fischer, U. et al. | IEEE | 2015


    Modeling adaptive cruise control vehicles from experimental data: model comparison

    Gunter, George / Stern, Raphael / Work, Daniel B. | IEEE | 2019