A Smart Vehicle WrongWay Detection and Tracking using YOLOV8 and Sort Algo

Heavy Vehicle Tracker for a Traffic Management System using OpenCV and Python

🚗 Traffic management system of city. OOP project for semester 2-1

AI-based Dynamic Traffic Light System that adjusts green signal timing using real-time traffic density. The system uses computer vision for vehicle detection and weighted density estimation to optimize North–South and East–West traffic flow, reducing congestion and waiting time.

Realtime road traffic monitoring with analytics chart plotting

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Reinforcement Learning for Smart Traffic Lights optimizes signal timings using real-time traffic data, reducing congestion, minimizing delays, and improving urban traffic management through AI-driven learning.

An intelligent traffic management system that uses artificial intelligence and computer vision to monitor road conditions and control traffic signals dynamically. It analyzes real-time traffic data from cameras and sensors to reduce congestion, optimize signal timing, and improve road safety.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Smart Traffic Control using AI leverages artificial intelligence to analyze traffic patterns and dynamically control signals, reducing congestion and improving urban transportation efficiency.