In this paper, the authors propose a genetic algorithm approach for solving the problem of optimal location of traffic count sections. This approach aims at assessing the efficacy of a transportation based rule proposed by authors in previous studies. These approaches are tested on a real size extra-urban road network and are compared to a state-of-the art rule that is widely used in practical applications.


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    Titel :

    Genetic Algorithm Based Approach for the Optimal Location of Traffic Counts Sections


    Beteiligte:
    Cipriani, E. (Autor:in) / Petrelli, M. (Autor:in)

    Kongress:

    Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States



    Erscheinungsdatum :

    2006-08-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Genetic Algorithm Based Approach for the Optimal Location of Traffic Counts Sections

    Cipriani, E. / Petrelli, M. / American Society of Civil Engineers | British Library Conference Proceedings | 2005


    Origin-Destination Matrices Estimated with a Genetic Algorithm from Link Traffic Counts

    Kim, Hyunmyung / Baek, Seungkirl / Lim, Yongtaek | Transportation Research Record | 2001




    Multiple-Vehicle Origin-Destination Matrix Estimation from Traffic Counts Using Genetic Algorithm

    Baek, S. / Kim, H. / Lim, Y. | British Library Online Contents | 2004