Traffic jam is a problem that directly affects the quality of life of the population in large cities. This problem exacerbates at road intersections, where obsolete traffic control systems based on a static set of rules remain in use. We propose an algorithm that improves vehicular flow control at traffic-light intersections by optimizing a dynamic allocation of times. We train our own YOLO detector using a set of images captured from traffic cameras installed at a cross-road. Based on the number of vehicles detected in each intersection road, one set of rules was created and used by a fuzzy control. Since, at the local level, there are few traffic cameras installed on intersections. We build a simulated environment both to train our detector system and verify the efficiency of our algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A smart algorithm for traffic lights intersections control in developing countries


    Beteiligte:


    Erscheinungsdatum :

    2021-05-26


    Format / Umfang :

    6117460 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Smart Traffic Lights

    Joshi, Nikita / Shah, Karan / Heniya, Nidhi et al. | IEEE | 2023


    Automated Crossing of Intersections Controlled by Traffic Lights

    Mazzalai, Alessandro / Biral, Francesco / Lio, Mauro Da et al. | IEEE | 2015


    SMART TRAFFIC LIGHTS SYSTEM

    AL-GBURİ ABDULMUNEM AHMED SALIM | Europäisches Patentamt | 2020

    Freier Zugriff

    Incorrect U-turning of vehicles at intersections with traffic lights

    Tomasz Krukowicz / Krzysztof Firląg / Ewelina Sterniczuk | DOAJ | 2021

    Freier Zugriff