Fuzzy systems can be excellently used to represent human knowledge. Traffic technology is a science where this property of fuzzy logic can be used very well because it is hard to make mathematical models due to human influences and complex connections between input parameters. One example of the use of fuzzy logic in traffic control is in highway speed control systems. The goal is to optimally use the highway. The authors first describe a fuzzy system for traffic flow control and incident recognition that is in use since some time. Another example the authors describe is fuzzy logic in forecasting whether a particular parking garage is full or not. The authors describe the input parameters and the structure of the fuzzy system. Furthermore, the authors show how neural networks can be used to inprove the performance of the system.


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    Title :

    Fuzzy-neural traffic control and forecasting


    Additional title:

    Verkehrslenkung und -vorhersage auf Fuzzy-neuronaler Basis


    Contributors:


    Publication date :

    1995


    Size :

    8 Seiten, 7 Bilder, 8 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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