The paper develops an algorithm for optimally locating surveillance technologies with an emphasis on automatic vehicle identification tag readers by maximizing a travel time reliability objective function. The problem is formulated as a quadratic 0-1 optimization problem where the objective function parameters represent benefit factors that capture travel time variability along specified trips. A genetic algorithm is developed to solve the problem and the computational results are presented using data pertaining to a freeway section in San Antonio, Texas, as well as a number of synthetic test cases, to demonstrate the efficacy of the proposed approach.


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    Title :

    Genetic algorithm approach for locating automatic vehicle identification readers


    Contributors:
    Arafeh, M. (author) / Rakha, H. (author)


    Publication date :

    2005-01-01


    Size :

    283069 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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