MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202631051410 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on April 22, for 'iot-based shortest path algorithm with intelligent machine learning for effective city traffic control.'
Inventor(s) include Mr. Moloy Dhar; Ms. Priyanka Chakraborty; Ms. Promita Chakraborty; Dr. Suparna Biswas; Koyel Das; Monjuri Das; and Maithreyi Deb.
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: "An integrated traffic optimization system and method combine IoT-based real-time traffic sensing with machine learning predictive analytics and dynamic routing to reduce urban congestion and travel time. IoT devices (for example cameras, vehicle sensors and GPS) collect real-time traffic metrics which are transmitted via a communication network to preprocessing and processing nodes. A machine learning module trained on historical and real-time data predicts congestion levels and travel times per road segment; a graph construction module represents the road network as a dynamically weighted graph; and a routing module computes time-efficient routes using an adaptive shortest-path algorithm that consumes the dynamic weights. A monitoring function updates weights and recomputes routes when deviations occur, and a traffic signal control module adjusts signal timings. Computed routes and warnings are communicated to users and traffic authorities via mobile or vehicle interfaces; optional embodiments include edge/cloud distribution, V2X integration and emergency vehicle prioritization. The system aims to improve traffic flow, reduce travel time and lower fuel consumption in urban areas."
Disclaimer: Curated by HT Syndication.
