A controller with advanced control logic can significantly improve traffic flows at intersections. In this vein, this paper explores fuzzy rules and algorithms to improve the intersection operation by rationalizing phase changes and green times. The fuzzy logic for control is enhanced by the exploration of neural networks for families of membership functions and for ideal cost functions. The concepts of fuzzy logic control are carried forth into the controller architecture. Finally, the architecture and the modules are discussed. In essence, the control logic and architecture of an intelligent controller are explored.


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    Title :

    An intelligent traffic controller


    Additional title:

    Ein intelligenter Verkehrsregler


    Contributors:
    Kagolanu, K. (author) / Fink, R. (author) / Smartt, H. (author) / Powell, R. (author) / Larson, E. (author)


    Publication date :

    1995


    Size :

    6 Seiten, 8 Bilder, 6 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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