Intelligent-Traffic-Management-System-using-Machine-Learning and TrafficVision-AI
Both systems use YOLO-based vehicle detection to dynamically optimize traffic signals, making them direct competitors offering similar core functionality rather than complementary or dependent tools.
About Intelligent-Traffic-Management-System-using-Machine-Learning
FYP-ITMS/Intelligent-Traffic-Management-System-using-Machine-Learning
We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.
Employs YOLOv3/v4 trained on the Indian Driving Dataset (IDD) for real-time vehicle detection and counting across traffic lanes. The system implements dynamic signal control logic that adjusts traffic light timing based on detected vehicle density, with fallback to static timing during anomalous conditions. Architecture includes model training with custom configuration, Non-Maximum Suppression for detection refinement, and lane-specific vehicle counting to optimize signal switching decisions.
About TrafficVision-AI
SiddharthRiot/TrafficVision-AI
AI-powered traffic management system using YOLO-based computer vision to dynamically optimize signal timings and create emergency green corridors.
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