AI-Based Traffic Accident Prediction Using Real-Time Sensor Data

Prof. Mehak singh

Abstract


Predicting traffic accidents in real-time can significantly improve road safety. This paper presents an AI-based framework that uses real-time sensor data from traffic cameras, GPS, and vehicle sensors to predict potential accidents. The system employs machine learning models to analyze traffic patterns, road conditions, and vehicle behavior, identifying high-risk situations before they escalate. Evaluation on traffic datasets demonstrates the system's ability to accurately predict accidents, enabling timely interventions and reducing accidents. The research highlights the role of AI in enhancing public safety and traffic management in smart cities.

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