MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061093 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on May 14, for 'ai-based adaptive traffic management system with iot and dynamic lane control.'
Inventor(s) include Ms. P. Dhivya; Dr. A. Christy Jeba Malar; Mr. P. Suresh; Lingesh A; Manikandan C; and Manivel N.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence-based adaptive traffic management system and method for real-time monitoring and control of traffic at road intersections. The system comprises an embedded camera (10) configured to capture live traffic video, an AI processing unit (40) including a video analysis module (42) and a predictive traffic module (44) for detecting and classifying vehicles and estimating traffic density, and an IoT communication module (26) for transmitting data between system components. A traffic signal controller (32) and an adaptive signal control unit (50) dynamically regulate traffic signals based on real-time and predicted traffic conditions. An emergency vehicle detector (46) enables priority signal control for emergency vehicles (14), while an actuator-based lane control unit (30) with adjustable lane dividers (20) facilitates dynamic lane management. The invention provides an integrated, automated, and scalable solution for reducing congestion, improving traffic efficiency, and enhancing emergency response in smart urban environments."
Disclaimer: Curated by HT Syndication.
