Car-following is the most frequent driving scenario, and is characterized by headway. Headway is a measure of the temporal space between two vehicles. It relates to the time available for a driver to react, and is a safety measure of car-following behavior. The characteristics of car-following headways remain poorly understood in China and this has a secondary effect on road alignment design, road capacity, traffic flow stability, traffic safety, and the design of many in-vehicle systems. With high validity naturalistic driving data, this study investigated the distribution of drivers’ car-following headways and how drivers would adjust their headways due to level of operating speed, visibility, roadway type, and traffic density. From 60,689 km of naturalistic driving data, 1,489 car-following events were identified. Headways were then extracted and statistically compared across different driving situations to quantify changes in car-following headways as a result of driving situations. The results of this study show that (1) the distribution of car-following headway was similar to a lognormal distribution; (2) drivers tended to maintain longer headways in slow-speed driving, nighttime, surface roads, and dense traffic conditions. The results of this study may be valuable for understanding car-following behavior and traffic simulation.


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    Titel :

    Car-Following Headways in Different Driving Situations: A Naturalistic Driving Study


    Beteiligte:
    Zhu, Meixin (Autor:in) / Wang, Xuesong (Autor:in) / Wang, Xiaomeng (Autor:in)

    Kongress:

    16th COTA International Conference of Transportation Professionals ; 2016 ; Shanghai, China


    Erschienen in:

    CICTP 2016 ; 1419-1428


    Erscheinungsdatum :

    01.07.2016




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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