MUMBAI, India, Nov. 13 -- Intellectual Property India has published a patent application (202641129528 A) filed by Kalasalingam Academy Of Research And Education on October 30, 2026, for Route-Wise Traffic Accident Risk Prediction And Proactive Safety Mitigation System Using Geospatial Data And Multifactor Machine Learning.
Inventors include Esambadi Goutham Reddy; Duttaluri Karimulla; Gadde Sai Naga Abhi Ram; Utukuru Sasi Kumar; Dr. K. Venkatesh; and Dr. N. Subbulakshmi.
The application for the patent was published on November 13, 2026, under issue no. 46/2026.
Abstract: A route-wise traffic accident risk prediction and proactive safety mitigation system uses historical crash records and geospatial road data to estimate accident risk along travel routes. A data ingestion module (1) receives records, and a data preprocessing engine 10 (2) removes incomplete labels and geographic anomalies. A temporal feature extraction module (4) encodes timestamps into four time categories, while a spatial cluster risk scoring module (5) calculates crash-density scores for road segments. A class balancing module (6) prepares training data for a machine-learning risk prediction engine (7) comprising a multi-class Random Forest classifier. A navigation 15 advisory interface (9) provides predicted risk levels, route alternatives, and departuretime recommendations to a user navigation device (10). The system supports proactive route planning using combined spatial and temporal accident risk information.
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