Thiruvananthapuram: In a major step towards improving road safety, the Kerala Police are set to deploy Artificial Intelligence (AI) to predict road accidents and identify accident-prone hotspots across the state. The initiative aims to curb the alarming rise in road mishaps by using data-driven insights for prevention and enforcement.
The State Crime Records Bureau (SCRB) will launch an AI-powered Road Accident Analysis and Prediction Suite capable of forecasting accident severity and mapping high-risk locations statewide. Work on the project began in January and is expected to be completed by the end of the year.
Police officials said accident data collected since 2018 is being used to train AI models. At the same time, the SCRB has initiated a comprehensive review of data from all police stations to improve accuracy and data quality.
The system will analyse key factors such as time, location, road conditions, weather, traffic density, and historical trends to predict whether accidents are likely to be fatal, serious, or minor. Using spatial clustering and distance-based algorithms, the platform will identify high-risk zones, helping authorities plan targeted accident-prevention measures, including increased patrolling and infrastructure improvements.
Another major feature is accident forecasting. Based on vehicle types, collision patterns, speed, and environmental factors, the system can predict accident probabilities at the state, district, and police station levels on a monthly basis. For example, it can detect the usual spike in accidents during the monsoon season and enable timely preventive action.
The AI tool will also track different types of crashes—such as head-on collisions, rear-end crashes, side impacts, and rollovers—offering deeper insights into the causes of accidents.
Official figures underline the urgency of the initiative: between 2020 and November 2025, Kerala recorded 2.96 lakh road accidents, resulting in 25,828 deaths and injuries to over 3.3 lakh people. Authorities hope the AI-driven system will play a crucial role in reversing this trend.
