The Smart Traffic Management System is designed to alleviate urban traffic congestion through real-time monitoring and adaptive signal control. Using AI-based image processing, webcams detect vehicle flow, allowing dynamic traffic light adjustments via an Arduino-controlled LED system.

The system enhances traffic efficiency, reduces wait times, and supports scalability for larger implementations. By integrating automated responses, it improves road safety, minimises manual intervention, and provides valuable traffic insights for urban planning and research.