The purpose of this paper is to investigate the application of non-dominated sorting genetic algorithm in solving the multiobjective signal timing optimization problem (MOSTOP). Three n-objective signal timing optimization problems with m-constraint, which cover both deterministic and stochastic traffic patterns, are defined and solved in this study. Mathematical approximations of the resulting Pareto Frontiers are presented to evaluate the trade-off among various objectives and thus provide the most appropriate alternatives for all potential situations of the intersection traffic signal design.


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    Title :

    Multiobjective traffic signal timing optimization using non-dominated sorting genetic algorithm


    Contributors:
    Sun, D. (author) / Benekohal, R.F. (author) / Waller, S.T. (author)


    Publication date :

    2003-01-01


    Size :

    393766 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English