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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A neuro-fuzzy approach for ramp metering


    Contributors:
    Bogenberger, K. (author) / Keller, H. (author) / May, A.D. (author)


    Publication date :

    2000-01-01


    Size :

    495411 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A neuro-fuzzy approach for ramp metering

    Bogenberger, K. / Keller, H. / May, A. D. et al. | British Library Conference Proceedings | 2000


    A Neuro-fuzzy Based Approach to Cooperative Ramp Metering

    Greguric, Martin / Ivanjko, Edouard / Manduka, Sadko | IEEE | 2015


    A neuro-fuzzy algorithm for coordinated traffic responsive ramp metering

    Bogenberger, K. / Keller, H. / Vukanovic, S. | IEEE | 2001


    A neuro-fuzzy algorithm for coordinated traffic responsive ramp metering

    Bogenberger, K. / Keller, H. / Vukanovic, S. | Tema Archive | 2001


    A Neuro-Fuzzy Algorithm for Coordinated, Traffic-Responsive Ramp Metering

    Bogenberger, K. / Keller, H. / Vukanovic, S. et al. | British Library Conference Proceedings | 2001