MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070787 A) filed by Mr. C. Manikandan; Ms. Saranya K; Dr. V. Anantha Krishna; Dr. M. Ramasubramanian; Dr. Dasari Madhavi; Ms. N. Musrat Sultana; Mr. Uppiliraja Panneerselvam; Mr. Syed Shanawaz Basha; and Dr S Mohan on June 06, 2026, for Machine Learning Based Adaptive Traffic Signal Control System For Smart Urban Transportation Networks.
Inventors include Mr. C. Manikandan; Ms. Saranya K; Dr. V. Anantha Krishna; Dr. M. Ramasubramanian; Dr. Dasari Madhavi; Ms. N. Musrat Sultana; Mr. Uppiliraja Panneerselvam; Mr. Syed Shanawaz Basha; and Dr S Mohan.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to an intelligent traffic management system employing machine learning techniques for adaptive control of traffic signals in smart urban transportation networks. The proposed system utilizes real-time traffic data acquired from multiple sensing devices including cameras, Internet of Things (IoT) sensors, vehicle detectors, and connected transportation infrastructure. The collected data are processed through machine learning algorithms to estimate traffic density, vehicle flow, congestion levels, queue lengths, and traffic patterns. Based on the analyzed information, the system dynamically adjusts signal timing parameters such as green time, red time, cycle length, and phase sequence to optimize traffic movement.The adaptive traffic signal control system continuously learns from historical and real- time traffic conditions to improve signal scheduling decisions. The invention reduces traffic congestion, vehicle waiting time, fuel consumption, and carbon emissions while improving road safety and transportation efficiency. The proposed framework supports integration with smart city infrastructure, emergency vehicle prioritization, public transportation management, and future autonomous vehicle communication systems.
Disclaimer: Curated by HT Syndication.
