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
Related Topics
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
