Increasing number of urban residents is systematically increasing the demand for smart traffic management. This contribution presents an intelligent solution for dealing with common traffic issues such as unexpected roadblocks, accidents, or public transport failures. To this effect, a city traffic simulation tool, based on software agents, which incorporates traffic management strategies is proposed and experimented with. It is experimentally shown that the proposed approach can decrease the travel time.


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    Title :

    Modelling and Optimizing City Traffic Using an Agent Platform


    Additional title:

    Algorithms for Intelligent Systems




    Publication date :

    2022-02-14


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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