Скачать или смотреть TRAFFIC SYNC : AI POWERED SMART SIGNAL MANAGEMENT

The Traffic Sync system uses artificial intelligence to optimize traffic flow by dynamically adjusting traffic signals based on real-time traffic conditions. Leveraging computer vision and machine learning algorithms, the system detects congestion levels and adjusts signal timings to reduce wait times, minimize fuel consumption, and improve overall traffic efficiency. Its lightweight and scalable design ensures it can be deployed across cities, making urban mobility smarter and more sustainable.

Team Details:

Project Guide: Mr. G. Ravi Kumar

Team Lead: Honey Rishitha

Team Members: Sai Vikas, Swetha Sai Rani, Tilak, Vighnesh Kumar

The Traffic Sync system aims to revolutionize urban traffic management by providing adaptive and intelligent control of traffic signals. Its real-time processing capabilities make it ideal for smart cities, helping reduce congestion, lower emissions, and enhance road safety. The system can be integrated with existing traffic infrastructure, offering an affordable and effective upgrade path for city administrations. Future work includes incorporating predictive analytics to anticipate traffic patterns and expanding the system to manage emergency vehicle prioritization and multi-modal traffic flows.