MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202631078766 A) filed by Jis University on June 26, 2026, for “artificial Intelligence Based Dynamic Driver Allocation And Ride Optimization System”.
Inventors include Dr. Dharampal Singh; Subhamit Dasgupta; Santanu Naskar; Sneha Hazra; Sukanta Mondal; and Subham Sen.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT The present invention discloses an Artificial Intelligence Based Dynamic Driver Allocation and Ride Optimization System (SWIFTRIDE) configured to optimize asset dispatch operations within smart transportation networks. The system comprises a passenger interface module, a driver interface module, a GPS telematics tracking module, a cloud database server, and a multi- threaded core AI processing engine. The AI processing engine calculates a non-linear, dynamic multi-variate suitability score for candidate driver nodes by parsing real-time parameters including physical distance, traffic congestion indices, estimated arrival times, historical driver behavior, and passenger ratings, automatically dispatching the ride contract to the optimal asset. The invention further incorporates a graph-theoretic route optimization module to minimize travel latencies and fuel consumption, alongside a deep learning-based spatiotemporal demand prediction module that utilizes LSTM and ARIMA models to generate future demand heatmaps for proactive fleet repositioning.
Disclaimer: Curated by HT Syndication.
