MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061177 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Smart Traffic Prediction And Route Optimization Using Real-Time Data.
Inventors include A. Nathiya; Kiruthika; Krithika S; Lavanya S; Lokesh S; Praveen Kumar D; Periyasamy K; and Praveen K.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: A smart traffic prediction and route optimization system using real-time data enhances urban mobility and reduces congestion. The system collects traffic information from sensors, cameras, GPS devices, and connected vehicles. Historical and live data are processed using Al and machine learning algorithms to predict traffic patterns and congestion hotspots. The system provides real-time route recommendations to drivers, minimizing travel time and fuel consumption. Dynamic traffic signal adjustments are enabled based on predicted flow. IoT connectivity allows seamless communication between vehicles, infrastructure, and control centers. Continuous learning improves prediction accuracy and system responsiveness over time. Alerts notify drivers of accidents, roadblocks, or unusual congestion. Data visualization supports city planners in traffic management and infrastructure planning. Cloud-based storage ensures scalable access and historical analysis. Low-latency processing guarantees timely recommendations for commuters. Automated reporting assists in evaluating traffic efficiency and policy decisions. The system reduces environmental impact by optimizing vehicle movement. This intelligent solution provides a reliable, adaptive, and efficient approach for traffic prediction and route optimization.
Disclaimer: Curated by HT Syndication.
