In this paper, a two stage fuzzy logic system has been proposed to control an isolated intersection adaptively. The aim of this work is to minimize the average waiting time for a different traffic flow rates in real time means. In the first stage, the system consists of two modules named next phase selection module and the green phase extension module. In the second stage the system consists of the decision named module. The study was performed using SUMO traffic simulator. A comparison is made between a fuzzy logic controller and a conventional fixed time controller. As a result, fuzzy logic controller has shown better performance. Taha Mahmood | Muzamil Eltejani Mohammed Ali | Akif Durdu "A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23873.pdf


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator


    Beteiligte:

    Erscheinungsdatum :

    08.06.2019


    Anmerkungen:

    oai:zenodo.org:3589581
    International Journal of Trend in Scientific Research and Development 3(4) 656-659



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629






    Traffic Light Optimization using SUMO at the Samsat Intersection

    Jayanto, Noval Dwi / Satwika, I Putu / Bayuwindra, Anggera et al. | IEEE | 2023


    Study on Traffic Signal Control for Single Intersection via Fuzzy Logic

    Chen, Fu Yang ;Chen, Zhi Chao ;Jiang, Feng | Trans Tech Publications | 2012


    Minimizing Intersection Delays: A Novel Fuzzy Logic-Based Architecture for Traffic Signal Control

    Elkari, Badr / Ourabah, Loubna / Sekkat, Hiba et al. | Springer Verlag | 2024