MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049361 A) filed by B Jyothi, Guntur, Andhra Pradesh, on April 17, for 'smart intersection management using sensor-driven traffic density and proximity analysis.'
Inventor(s) include B. Jyothi; Ghattamneni Nikhil; C. Mohana Rao; M. Dileep Naidu; and D. Akash.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Traffic congestion and road accidents at urban intersections pose significant challenges to modern transportation systems. The present invention proposes an AI-based intelligent traffic signal control system that dynamically manages traffic flow using real-time data from camera modules and ultrasonic sensors. The system employs deep learning models such as Convolutional Neural Networks (CNN) and YOLO for accurate vehicle detection and classification, while proximity sensing is used to estimate vehicle distance. The system computes the Estimated Time of Approach (ETA) for vehicles and applies sensor fusion techniques to enhance decision-making accuracy. Based on ETA and traffic density, the system dynamically allocates signal priority and adjusts signal timings to optimize traffic movement. This approach reduces waiting time, minimizes congestion, and improves overall road safety. The proposed system offers a scalable and cost-effective solution for intelligent traffic management and can be effectively integrated into smart city infrastructure to enable adaptive and efficient intersection control."
Disclaimer: Curated by HT Syndication.
