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.
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29
Language
Python
License
CC0-1.0
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Last pushed
Mar 31, 2021
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