Traffic signal control is one of the oldest applications of fuzzy logic, at least in transportation engineering. The aim of this paper is to present a systematic approach to fuzzy traffic signal control and to derive the linguistic control rules based on expert knowledge. Traffic signal programming is generally divided into two problems: firstly, the choice and sequencing of signal stages to be used, and secondly, optimizing the relative lengths of these stages. The rule bases for both problems are introduced in our paper. The results of tested rule bases and field tests of fuzzy control have been promising. The fuzzy signal control algorithms offer better measures of effectiveness than the traditional vehicle‐actuated control.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    General fuzzy rule base for isolated traffic signal control‐rule formulation


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2001-02-01


    Format / Umfang :

    21 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Rule-base Reduction in Fuzzy Rule Interpolation-based Q-learning

    Vincze, Dávid / Kovács, Szilveszter | BASE | 2015

    Freier Zugriff


    Autogeneration of Fuzzy Logic Rule-Base Controllers

    Abdalla, M.O. / Al-Jarrah, T.A. | British Library Conference Proceedings | 2012


    Fuzzy Rule-Based System Approach to Combining Traffic Count Forecasts

    Stathopoulos, Antony / Karlaftis, Matthew G. / Dimitriou, Loukas | Transportation Research Record | 2010