MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511116202 A) filed by Pranveer Singh Institute Of Technology, Kanpur, Uttar Pradesh, on Nov. 24, 2025, for 'ai-driven adaptive traffic flow optimization process using vehicle-to- infrastructure (v2i) communication.'
Inventor(s) include Dr. Shakun Srivastava; Mr. Amir Khan; Mr Ritesh Dixit; Mr Sarvesh Kumar Soni; Dr. Nand Kishore Sharma; and Dr. Asif Ahmad.
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: "The present invention discloses an AI-driven adaptive traffic flow optimization process utilizing Vehicle-to- Infrastructure (V2I) communication to achieve real-time, predictive, and sustainable traffic management in smart cities. The process integrates dynamic data received directly from connected vehicles-such as speed, location, acceleration, intended route, and emission level-with roadside sensors, cameras, and geospatial information to generate a high-fidelity traffic state model. An Artificial Intelligence performs predictive analytics to forecast congestion, identify potential bottlenecks, and optimize signal timings before traffic density peaks. Unlike existing reactive traffic systems deployed in Indian smart cities, the proposed invention enables proactive control by treating vehicles as active data nodes within the transportation network. The system further supports adaptive lane reallocation, decentralized peer-to-peer signal coordination, priority routing for emergency or high-efficiency vehicles, and emission-aware traffic modulation. Through continuous V2I data exchange and learning-based decision mechanisms, the invention enhances urban mobility, reduces fuel consumption, lowers pollution, and improves overall traffic throughput in heterogeneous and high-density urban environments."
Disclaimer: Curated by HT Syndication.
