This paper introduces a Smart Traffic Management System (STMS)employing RF sensors, cameras, and machine learning algorithms to monitor and optimize urban traffic. The system dynamically adjusts traffic signal timings, offers real-time route recommendations based on GPS data, and incorporates adaptive control mechanisms to reduce congestion and improve overall mobility. Simulation studies and real-world testing demonstrate the effectiveness of the STMS in enhancing traffic flow, minimizing waittimes, and contributing to sustainable urbandevelopment.


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    Title :

    Smart Traffic Management System for Urban Mobility Enhancement Using RF Sensors, Cameras, and Machine Learning


    Contributors:


    Publication date :

    2024-10-08


    Size :

    598068 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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