IoT-Based Traffic Prediction for Smart Cities
Project Code :TEMBMA3699
Objective
The main objectives of this project are to predict traffic flow patterns in smart cities using real-time data collected from IoT-enabled sensors. It applies machine learning models to analyze traffic density, congestion trends, and vehicle movement. The system helps optimize traffic management, reduce delays, and improve urban mobility and planning
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