Traffic congestion is an extremely common phenomenal issue, it occurs in many cities around the world, especially in those cities with high car ownership. Traffic congestion not only causes air pollution and fuel wastage, but it also leads to an increased commuting time and reduces the work time availability. Due to these reasons, traffic congestion needs to be controlled and reduced. The traffic light is the most widely adopted method to control traffic, however, most traffic lights in use are designed based on the predefined interval, which cannot cope with traffic volume change very well. Therefore, Internet of Things (IoT) based traffic lights or adaptive traffic lights are developed in the recent years as a complement of the traditional traffic lights. The adaptive traffic light can be built based on monitoring current traffic situation or using Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication. In this paper, a new design of adaptive traffic light is proposed, this traffic light system is based on fuzzy logic and it introduces volunteer IoT agent mechanism, which introduces more accurate results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fuzzy-Logic Approach for Traffic Light Control Based on IoT Technology


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Balas, Valentina Emilia (Herausgeber:in) / Semwal, Vijay Bhaskar (Herausgeber:in) / Khandare, Anand (Herausgeber:in) / Hewei, Guan (Autor:in) / Sadiq, Ali Safaa (Autor:in) / Tahir, Mohammed Adam (Autor:in)


    Erscheinungsdatum :

    2022-02-08


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Intelligent Traffic Light Control System Using Fuzzy Logic

    Mujčić, Edin / Drakulić, Una / Toroman, Amel | Springer Verlag | 2022


    TRAFFIC LIGHT CONTROL USING FUZZY LOGIC MAMDANI METHOD

    Paula Juniana / Lukman Hakim | DOAJ | 2019

    Freier Zugriff

    Traffic signal control using fuzzy logic

    Lin, Qinghui / Kwan, B.W. / Tung, L.J. | Tema Archiv | 1997


    Traffic signal control using fuzzy logic

    Prontri, Sakuna / Wuttidittachotti, Pongpisit / Thajchayapong, Suttipong | IEEE | 2015


    Railway traffic control system based on fuzzy logic

    GUO RUI | Europäisches Patentamt | 2023

    Freier Zugriff