MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017931 A) filed by Dayananda Sagar Academy Of Technology And Management; Mrs. Radha Krishna Dhawad; Mrs. Likhita Devineni; Mrs. Akshathas; Ms. Pooja B I; and Mrs. Aparna Gopinath, Bangalore, Karnataka, on Feb. 18, for 'integrated urban mobility system for efficient traffic flow and reduced congestion.'
Inventor(s) include Mrs. Radha Krishna Dhawad; Mrs. Likhita Devineni; Mrs. Akshathas; Ms. Pooja B I; and Mrs. Aparna Gopinath.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an integrated urban mobility system designed to enhance traffic flow and reduce congestion in city environments. The system addresses the problem of fragmented traffic management by providing a holistic, data-driven solution. It comprises a multi-layered architecture including a data acquisition module that gathers real-time information from diverse sources such as GPS-enabled vehicles, traffic cameras, acoustic sensors, and parking infrastructure. This data is processed by a central cloud-based engine that employs machine learning algorithms to predict near-future traffic states, enabling proactive rather than reactive management. Based on these predictions, a dynamic optimization module generates coordinated control strategies, including adaptive traffic signal timing, reversible lane control, and variable speed limits. A key innovation is the system's ability to integrate these strategies with a multi-modal user application. This application provides end-users with personalized route guidance that considers not only real-time congestion but also predictive traffic forecasts, parking availability, and optimal connections between private and public transport, such as suggesting park-and-ride facilities when downtown congestion is anticipated. The system incorporates a continuous feedback loop, where the actual impact of implemented control strategies is monitored and used to retrain and refine the predictive models, creating a self-optimizing urban mobility ecosystem. The invention aims to decrease average travel times, reduce vehicular emissions, improve the efficiency of public transport, and alleviate the economic and environmental burdens of urban traffic congestion. By synchronizing traffic control with user information and multi-modal coordination, it provides a comprehensive solution for modern smart cities."
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