Ramp metering, in the context of ITS systems, offers several operational features for improving traffic flow, traffic safety and air quality by the regulation of input flow to a freeway or highway. A general fuzzy ramp control algorithm is described and an example is examined. This fuzzy control algorithm is arranged into a neuro-fuzzy architecture and the membership functions are learned by a neural network based method from the US demand-strategy method.


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    Titel :

    A neuro-fuzzy approach for ramp metering


    Beteiligte:
    Bogenberger, K. (Autor:in) / Keller, H. (Autor:in) / May, A.D. (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    495411 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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