Lane-changing maneuvers of heavy vehicles have significant influence on surrounding traffic characteristics because of the physical effects that the heavy vehicles impose on surrounding vehicles. These effects are the result of heavy vehicles’ length, size, weight, and limitations in their maneuverability. Because of the importance of heavy vehicle lane-changing maneuvers, this article presents an exclusive fuzzy logic lane-changing decision model with 2 and 3 fuzzy sets for heavy vehicle drivers on freeways. To examine the accuracy of the heavy vehicle drivers’ lane-changing decision model, the authors compared the number of estimated lane-changing maneuvers of heavy vehicles with the observed number of heavy vehicle lane-changing maneuvers. In addition, the authors compared estimated traffic flow measurements (e.g., traffic flow, average speed) with the observed traffic flow measurements through microscopic traffic simulations. Results show that the fuzzy logic heavy vehicle lane-changing model can better replicate the observed lane-changing decisions of heavy vehicle drivers than can the current lane-changing decision models. Furthermore, using an exclusive heavy vehicle lane-changing decision model can increase the accuracy of the microscopic traffic simulation software in estimating the macroscopic traffic flow measurements.


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    Titel :

    Lane-Changing Decision Model for Heavy Vehicle Drivers


    Beteiligte:
    Moridpour, Sara (Autor:in) / Sarvi, Majid (Autor:in) / Rose, Geoff (Autor:in) / Mazloumi, Ehsan (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.2012




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt