MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124944 A) filed by Vardhaman College Of Engineering, Ranga Reddy, Telangana, on Dec. 10, 2025, for 'ai-powered traffic flow forecasting and adaptive signal control system.'
Inventor(s) include Dr. Jagini Naga Padmaja; Mr. V Shashivanth; Dr. Raghavendra Gowda D; Mr. D Ganesh; Ms. Koti Tejasvi; and Dr. Ailaboina Vijaya Lakshmi.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "AI-Powered Traffic Flow Forecasting and Adaptive Signal Control System is the proposed invention. The AI-Powered Traffic Flow Forecasting and Adaptive Signal Control System is an intelligent transportation solution designed to improve roadway efficiency by predicting traffic conditions and dynamically adjusting signal timings in real time. The system integrates IoT-based traffic sensors, computer vision analytics, and machine learning models to continuously monitor vehicle movement, lane occupancy, and congestion levels at intersections. Using predictive algorithms, it forecasts short-term traffic patterns and autonomously optimizes green-light durations, phase sequences, and cycle lengths to reduce delays and prevent bottlenecks before they form. Coordinated traffic signal control ensures smooth vehicle progression across multiple intersections, while priority mechanisms enable rapid clearance for emergency and public transport vehicles. All operational data is recorded into a centralized analytics platform for performance monitoring and long-term urban planning."
Disclaimer: Curated by HT Syndication.
