MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202511011081 A) filed by Prakhar Chaudhary on February 10, 2025, for A Machine Learning-Based System For Predicting Road Deterioration Patterns In Tier-2 Cities.
Inventor includes Prakhar Chaudhary.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: This invention introduces a machine learning-based system for predicting road pavement deterioration, integrating real-time sensor data, historical records, AI, and predictive analytics to enhance road maintenance planning. Using deep learning models, ensemble techniques, and optimization algorithms, the system forecasts pavement degradation, predicts failure risks, and recommends cost-effective interventions. It processes data from IoT sensors, traffic monitors and weather databases to detect cracks, potholes, and structural weaknesses. The system employs regression models, CNNs, RNNs, LSTMs, and reinforcement learning to generate accurate deterioration models. A real-time decision support system (DSS) provides geospatial visualizations, automated risk assessments, and maintenance scheduling while optimizing budget constraints and long-term road sustainability. Adaptive learning mechanisms continuously refine predictions based on new traffic patterns and environmental changes. Scalable across urban and rural roads, this AI-driven solution reduces repair costs, minimizes road closures, extends road lifespan, and improves transportation efficiency, enhancing smart city infrastructure worldwide.
Disclaimer: Curated by HT Syndication.
