A Fuzzy Traffic Controller with adaptive strategies for fuzzy urban traffic control systems combined with two different defuzzification and decision-making criteria is presented. The basic concept of adaptive strategies employed is to adjust the membership functions according to the traffic conditions to optimize the controller's performance. The methods are: statistical-adaptive and fuzzy-adaptive, respectively. The Fuzzy Traffic Controller (FTC), which is composed by a Fuzzy Logic Controller (FLC), a State Machine and an Adaptive Module, is described. A case study, concerning the application of the proposed FTC in the intersection of two major avenues of the city of Sao Paulo is also addressed. The results show that the FTC developed out perform conventional control strategies and alternative fuzzy control schemes.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fuzzy traffic control: adaptive strategies


    Additional title:

    Fuzzy-Verkehrsregelung: Adaptive Strategien


    Contributors:
    Favilla, J. (author) / Machion, A. (author) / Gomide, F. (author)


    Publication date :

    1993


    Size :

    6 Seiten, 7 Bilder, 3 Tabellen, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Adaptive Fuzzy Logic Based Urban Traffic Control

    Favilla, J. / Machion, A. / Gomide, F. et al. | British Library Conference Proceedings | 1992




    Benefit Sensitivities of Adaptive Traffic Control Strategies at Isolated Traffic Signals

    Stewart, J.A. / Lepik, K. / Van Aerde, M. | Transportation Research Record | 1999