MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114133 A) filed by Integral University, Lucknow, Uttar Pradesh, on Nov. 20, 2025, for 'an ai-driven transportation planning and optimization system.'
Inventor(s) include Mohammad Atif Siddiqui; and Monauwer Alam.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Disclosed herein is an AI-driven transportation planning and optimization system with real-time traffic adaptation and sustainable mobility guidance (100) comprises a real-time multi-source traffic data aggregator (102) configured to collect and integrate traffic-related data. The system also includes an AI-powered predictive congestion engine (104) configured to analyze unified dataset using machine learning algorithms. The system also includes a multi-modal route optimization module (106) configured to compute optimal travel routes. The system also includes an adaptive traffic control and dynamic lane management unit (108) configured to automatically adjust traffic signal cycles, lane assignments, and toll rates. The system also includes a sustainability optimization module (110) configured to evaluate and minimize environmental impact. The system also includes a digital twin simulation module (112) configured to generate a virtual model of an urban transport network. A decision-support and commuter guidance module (114) configured to provide dynamic visualizations, alerts, and recommendations."
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