MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611051385 A) filed by Dr. Sangeeta Gupta; Dr. Sweta Srivastav; and Dr. Rachna Khurana, Greater Noida, Uttar Pradesh, on April 22, for 'an intelligent transportation scheduling system using predictive mathematical optimization models.'
Inventor(s) include Dr. Sangeeta Gupta; Dr. Sweta Srivastav; and Dr. Rachna Khurana.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent transportation scheduling system (100) is disclosed that employs predictive mathematical optimization models to perform adaptive real-time scheduling of transportation networks. The system (100) comprises a data acquisition and integration module (110), a demand forecasting engine (120), a mathematical optimization core (130), a dispatch and scheduling controller (140), a performance monitoring and feedback module (150), and a user interface and reporting console (160). The demand forecasting engine (120) uses a hierarchical architecture combining Gradient Boosting Regression and Long Short-Term Memory neural networks to generate probabilistic demand forecasts with confidence intervals. The mathematical optimization core (130) solves a stochastic mixed-integer linear program at configurable intervals to produce optimal vehicle dispatch and route assignment schedules, characterized by chance constraints that bound capacity violation probability. A closed-loop feedback architecture enables continuous model recalibration from operational outcomes without system downtime."
Disclaimer: Curated by HT Syndication.
