MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025090 A) filed by Chilakapati Anil Kumar, Vijayawada, Andhra Pradesh, on March 3, for 'system and method for predicting passenger navigational certainty in indoor transit lobbies using multi-factor binary logistic regression.'
Inventor(s) include Chilakapati Anil Kumar; and Prof. Dr Ramesh Srikonda.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A computer-implemented system and method for predicting passenger navigational certainty in indoor transit lobbies using multi-factor binary logistic regression. The invention collects passenger time-space behavioural data within an indoor transit environment, including movement trajectories, dwell durations, spatial proximity to functional areas, and age-related attributes. Multiple behavioural, spatial, and demographic variables are extracted and converted into binary indicators based on predefined thresholds. A binary logistic regression model is applied to compute a navigational certainty probability and classify passenger behaviour as either certain or uncertain. The system generates certainty-based outputs that support objective evaluation of indoor navigation performance and enable data-driven optimization of wayfinding design, spatial layout, and passenger assistance strategies. The invention provides a scalable, quantitative, and reproducible framework for assessing navigational certainty in complex indoor transit environments."
Disclaimer: Curated by HT Syndication.
