Main functions
Development of an intelligent traffic management system that uses real-time monitoring and adaptive intersection control to reduce congestion.
The system counts vehicles on each lane and detects emergency vehicles to dynamically optimize traffic flow.
The system counts vehicles on each lane and detects emergency vehicles to dynamically optimize traffic flow.
Key results
An AI system with two models was built for lane-level vehicle detection and counting, robustly adapted to varying environmental conditions.
The system achieved over 92% accuracy, enabled emergency vehicle prioritization, and supported dynamic traffic control.
The system achieved over 92% accuracy, enabled emergency vehicle prioritization, and supported dynamic traffic control.
The impact
Real-time, lane-level traffic control improves flow efficiency and supports emergency response.
The system operates reliably under varying conditions and automatically prioritizes active emergency vehicles.
The system operates reliably under varying conditions and automatically prioritizes active emergency vehicles.
