The traffic management system is a fundamental element of a Smart city, as the growing population increases road traffic. We present an adaptable traffic light control system that adapts the timing of traffic lights in real-time according to the congestion level to improve traffic flow at intersections and reduce waiting time. The proposed system uses ultrasonic sensors to measure the queue length indicating congestion, data analysis, and smart algorithms to adjust the traffic signal's timing. All the signals at the intersection are allocated a fixed default green time of 60 seconds. The proposed controller varies the time of the signals adapting to the queue length. A working prototype was developed, and system performance was evaluated. The proposed system improved the traffic flow and reduced the wait time at the intersection. An accompanying smartphone application offers real-time information on congestion levels at various intersections, aiding users in making informed decisions about their travel routes.


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    Titel :

    IoT-based Adaptive Traffic Signal Controller to Optimize the Flow of Traffic and Reduce Congestion


    Beteiligte:
    AlMulla, Kendah (Autor:in) / Ashkanani, Shathar (Autor:in) / Hassan, Fatimah (Autor:in) / AlMesbahi, Hawraa (Autor:in) / Alazmi, Manar (Autor:in) / Nadeem, Muhammad (Autor:in)


    Erscheinungsdatum :

    02.05.2024


    Format / Umfang :

    721284 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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