MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611064596 A) filed by Chandigarh University on May 22, 2026, for Platform Crowd Risk Prediction And Early Warning System For Railway Platforms.
Inventors include Prabhat Kumar Ravi; Kirti; and Sachin Chawla.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a platform crowd risk prediction and early warning system for railway platforms. The system utilizes sensing units to capture real-time crowd data and processes the data to estimate crowd density across multiple platform zones. It further integrates railway operational events, including train arrivals, departures, delays, and platform changes, with historical data to forecast future crowd conditions using a predictive modeling engine. The predicted crowd conditions are classified into multiple safety risk levels, and early warning alerts are generated when predefined thresholds are exceeded. The system enables proactive crowd management by providing advance risk indications, thereby assisting authorities in implementing preventive measures. The disclosed invention enhances passenger safety, reduces congestion-related risks, and improves operational efficiency through predictive analytics and decision-support mechanisms
Disclaimer: Curated by HT Syndication.
