MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641083416 A) filed by Saveetha Institute Of Medicaland Technical Sciences; and Dr Sathish Kumar on July 07, 2026, for Smart Ride Demand Prediction Using Ai.
Inventors include Mr, A Harshavardhan Kartheek Reddy; Dr Sathish Kumar; and Dr Ramya Mohan.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The Smart Ride Demand Prediction Application is an AI-powered system designed to improve ridehailing efficiency by predicting future ride demand, wait times, and pricing patterns using real-time and historical data. The application continuously gathers information such as ride requests, driver availability, traffic conditions, weather updates, and local events, then analyzes this data using advanced machine learning, spatiotemporal modeling, and retrieval-augmented processing. Based on these predictions, the system identifies upcoming high-demand areas, estimates future wait times, forecasts surge pricing, and provides personalized guidance to users, including the best times to book rides, recommended pickup points, and cost-efficient travel options. The platform also includes a tracking module that monitors demand changes, updates predictions in real time, and offers insights to enhance user convenience and system-wide ride distribution. Built with a scalable and modular architecture, the system can process large volumes of mobility data while maintaining high accuracy in demand forecasting, ultimately reducing mismatches between rider demand and driver supply. Additionally, the system provides real-time monitoring dashboards and analytics, enabling both users and operators to track demand trends, wait-time fluctuations, and vehicle distribution for better decision-making. These combined features ensure a predictive, personalized, and efficient ride-hailing experience, reducing uncertainty, improving convenience, and optimizing overall system performance.
Disclaimer: Curated by HT Syndication.
