Revolutionizing Traffic Management with AI-Based Smart Traffic Control
With the surge in vehicle numbers, managing urban traffic has become increasingly complex. Conventional systems often fail to respond to fluctuating traffic demands, resulting in congestion, prolonged wait times, and elevated pollution levels. To address these issues, we’ve developed an AI-Based Smart Traffic Control System that revolutionizes the way traffic is managed.
The Core of Our Innovation
Our system is powered by YOLOv4, a cutting-edge AI algorithm renowned for its speed and precision in object detection. By analyzing live traffic footage, YOLOv4 identifies and categorizes vehicles—cars, bikes, buses, and more—based on their density at intersections. Armed with this real-time data, the system adjusts signal timings dynamically, prioritizing lanes with higher vehicle density to streamline traffic flow.
Key Highlights
Our Journey
This project has been an exciting and enlightening endeavor for our team. From delving into traffic engineering to mastering AI technologies, the experience has enhanced our understanding of real-world challenges and the potential of AI in solving them. We’re proud to contribute a solution that not only enhances urban mobility but also promotes environmental sustainability.
Our AI-Based Smart Traffic Control System is a step forward in making cities smarter, greener, and more efficient for everyone.
What do you think about our approach to tackling traffic congestion? Let us know your thoughts!