MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070311 A) filed by Ims Engineering College, Ghaziabad on June 05, 2026, for An Ai-Driven Intelligent Traffic Flow Management System And Method For Real-Time Urban Mobility Optimization.
Inventors include Mr. Mayank Parashar; Dr. Pradeep Kumar; Dr. Sandeep Kumar; and Mr. Dheerendra Kumar Tyagi.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses an AI-driven intelligent traffic flow management system and method configured to optimize urban transportation networks through real- time traffic monitoring, predictive analytics, adaptive signal control, and autonomous decision-making mechanisms. The system comprises distributed traffic sensing devices including cameras, LiDAR sensors, radar modules, RFID readers, GPS tracking units, and environmental sensors operatively connected to edge computing nodes, adaptive traffic signal controllers, and cloud-based analytics infrastructure through IoT-enabled communication networks. The edge computing framework performs low-latency preprocessing operations including vehicle detection, traffic density estimation, anomaly identification, and environmental analysis, while artificial intelligence and machine learning algorithms predict congestion patterns, optimize traffic flow, and dynamically regulate signal timings based on real-time roadway conditions. The invention further incorporates inter-junction communication mechanisms, pedestrian-aware traffic regulation, emergency vehicle prioritization through intelligent green corridor generation, and environmental adaptation functionalities for enhancing roadway safety and reducing fuel consumption and vehicular emissions. The cloud-based platform continuously stores historical traffic information and retrains predictive models for long-term transportation optimization and smart city integration. The disclosed invention provides an autonomous, scalable, and intelligent transportation management framework capable of improving urban mobility efficiency, minimizing congestion, enhancing emergency response operations, and supporting future smart transportation ecosystems. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
