Car-following models replicate the behavior of a driver following another vehicle and are widely used in the development of traffic simulation tools. In this study, the performance of major car-following models is evaluated using microscopic vehicle trajectory when the lead and the following vehicle-types are different. Vehicles equipped with Global Positioning System (GPS) receivers were used to collect car-following data from two urban arterials of India. Analysis of car-following data indicates the existence of distinct behavior for each vehicle-type combination. Among the vehicle-type combinations studied, the following behavior of small sized vehicles is easily reproduced by the models, compared to large vehicle-types. Similarly, among the models, the Gipps and Krauss models are able to predict following behavior better than the rest followed by the MITSIM model.


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    Titel :

    Car-following behavior in traffic having mixed vehicle-types


    Beteiligte:
    Mathew, Tom (Autor:in) / Ravishankar, K. (Autor:in)

    Erschienen in:

    Transportation Letters ; 3 , 2 ; 109-122


    Erscheinungsdatum :

    2011-04-01


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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