MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611057656 A) filed by Prof. Dr. R. Swaminathan; Dr. R Senthil Rama; Dr. N. Herald Anantha Rufus; Balamurali. A; Dr. Sanjay M Gaikwad; Vijayalakshmi Venugopalan; Dr. Gopinathan Chandramathi Jagan; Edwin Arshina Packiam Xavier; Boopathi Raja Govindasamy; and Dr. Chenthil Thapasimuthu Rajeswari on May 06, 2026, for Integration Of Iot And Machine Learning For Autonomous Smart Transportation Systems.
Inventors include Prof. Dr. R. Swaminathan; Dr. R Senthil Rama; Dr. N. Herald Anantha Rufus; Balamurali. A; Dr. Sanjay M Gaikwad; Vijayalakshmi Venugopalan; Dr. Gopinathan Chandramathi Jagan; Edwin Arshina Packiam Xavier; Boopathi Raja Govindasamy; and Dr. Chenthil Thapasimuthu Rajeswari.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The proposed invention relates to an autonomous smart transportation system that integrates Internet of Things (IoT) and machine learning technologies to enhance efficiency, safety, and sustainability in modern mobility networks. The system enables real-time data collection from interconnected devices such as vehicles, sensors, and traffic infrastructure, which is analyzed using intelligent algorithms to predict traffic patterns, optimize routes, and dynamically control traffic flow. It supports seamless communication through vehicle-to-vehicle and vehicle-to-infrastructure interactions, enabling coordinated decision-making and improved situational awareness. The invention incorporates advanced safety mechanisms for accident detection, predictive alerts, and emergency response, while also facilitating predictive maintenance of infrastructure. Additionally, the system reduces fuel consumption and emissions through optimized traffic management and energy-efficient operations. Designed with scalability, security, and interoperability, the proposed system provides a comprehensive framework for intelligent transportation, contributing to smart city development and future autonomous mobility solutions.
Disclaimer: Curated by HT Syndication.
