MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641016507 A) filed by Dr. K. M. Devendraiah, Ballari, Karnataka, on Feb. 14, for 'machine learning and graph theory based system for intelligent traffic management in smart cities.'
Inventor(s) include Dr. K. M. Devendraiah.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Machine Learning and Graph Theory Based System for Intelligent Traffic Management in Smart Cities is the proposed invention. The proposed invention utilizes real-time data acquired from IoT-enabled traffic sensors, cameras, and GPS-based sources to monitor and analyze urban traffic conditions. Machine learning models are employed to predict traffic flow, congestion levels, and incident risks, while the road network is modelled as a dynamic weighted graph to represent intersections and road segments. Graph-theoretical optimization techniques are applied to compute optimal routes and adaptive traffic signal timings based on continuously updated traffic states. The integrated framework enables real-time, network-wide traffic optimization, reduces congestion and travel delays, and supports scalable, data-driven traffic control for smart city environments."
Disclaimer: Curated by HT Syndication.
