AI Powered Traffic Management and Signal Monitoring System

Authors: Andhale Mayur Nathu, Pawar Siddhesh Navnath, Mapari Darshan Arun, Wamane Devendra Suryabhan, Miss. Shital Aher

Country: India

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Abstract: This project is about creating a smart web application to control traffic signals at a busy four-way intersection. Instead of using fixed timers, this system uses artificial intelligence (AI) to adjust the green light time based on how many vehicles are waiting on each road. Cameras at each road capture live video, which the AI processes to count the number of vehicles and understand the traffic density.When one road has more vehicles waiting, the system automatically gives it more green light time, helping to reduce waiting time and traffic buildup. The web application lets users see real-time traffic information and monitor signal changes. Over time, the system also collects data that helps traffic authorities better understand peak traffic times and patterns. This smart traffic control system aims to make driving smoother, reduce idle time, and lower fuel emissions by managing traffic more efficiently.

Keywords: Smart Traffic Control, AI Traffic Management, Real-Time Traffic Monitoring, Vehicle Counting System

Paper Id: 232496

Published On: 2025-05-19

Published In: Volume 13, Issue 3, May-June 2025

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