The significance of vehicle-type-specific headway studies lies in the application of freeway capacity and safety analysis. However, data reliability plays an important role in the ability to understand the characteristics and microscopic modeling of freeway traffic. This study takes advantage of observation-based video data by using data extracting software VEVID to retrieve reliable vehicle trajectory data. The study focused on uniqueness of vehicle-type-specific headway under specific traffic states, as well as mixed headway. Data examination showed significant differences in vehicle-type-specific headways under average traffic conditions, uncongested flow and congested flow. Headways tend to be minimal in uncongested traffic flow, and maximal in congested traffic flow. In addition, the degree of discreteness by vehicle type headway differs significantly under different traffic conditions. Noticeably, in congested traffic, all types of headways tend to be less than reported in literature review results. In particular, Truck-Car and Truck-Truck headways behave considerably differently when traffic shifts between congested and uncongested conditions. The practical applications of these findings including improvement of microscopic car-following models, traffic state identification and vehicle classification.


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    Titel :

    Identifying Characteristics of Freeway Traffic Headway by Vehicle Types Using Video Trajectory Data


    Beteiligte:
    Ai, Qingyi (Autor:in) / Yao, Zhuo (Autor:in) / Wei, Heng (Autor:in) / Li, Zhixia (Autor:in)

    Kongress:

    Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China


    Erschienen in:

    ICCTP 2010 ; 1984-1992


    Erscheinungsdatum :

    2010-07-22




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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