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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    Title :

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


    Contributors:
    Cipriani, E. (author) / Petrelli, M. (author)

    Conference:

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



    Publication date :

    2006-08-04




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    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



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