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.
Smart Traffic Management System for Urban Mobility Enhancement Using RF Sensors, Cameras, and Machine Learning
08.10.2024
598068 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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