MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611066965 A) filed by Greater Noida Institute Of Technology Engineering Institute; Dr. Deepak Kumar Singh; Dr. Anand Kumar Dohare; Mr. Dev Agrawal; Mohammad Abules; Sanchita Pal; Aayush Kumar; Abhay Gupta; Aditya Kumar; Akash Nagar; Alok Kumar Upadhyay; and Amisha Srivastava on May 28, 2026, for An Artificial Intelligence-Based Smart Traffic Management System And Method For Adaptive Traffic Signal Control.
Inventors include Dr. Deepak Kumar Singh; Dr. Anand Kumar Dohare; Mr. Dev Agrawal; Mohammad Abules; Sanchita Pal; Aayush Kumar; Abhay Gupta; Aditya Kumar; Akash Nagar; Alok Kumar Upadhyay; and Amisha Srivastava.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT The invention relates to an artificial intelligence-based smart traffic management system and method for adaptive control of vehicular traffic at road intersections. The system comprises traffic data acquisition devices, an edge processing unit, an artificial intelligence-based traffic control engine, a predictive traffic control module, a signal control interface and a physical traffic signal controller. Live traffic data captured from cameras, sensors and communication nodes is processed in real time to determine lane-wise traffic parameters including vehicle count, queue length, speed, occupancy and waiting time. The traffic control engine generates congestion scores and predicts near-future traffic states. Based on the prediction and safety constraints, signal control commands physically modify signal phase sequence, green-light duration, red-light duration, amber-light duration or cycle length. The system further detects emergency vehicles and incidents for priority passage and corrective control, thereby reducing congestion and enhancing road safety.
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