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This study explores the use of Artificial Intelligence and Machine Learning to analyze traffic accident data in Chile, focusing on pedestrian injury severity to improve road safety. By employing unsupervised and supervised learning techniques, the research identifies risk patterns and predicts accident severity based on various factors. The findings highlight the importance of integrating advanced AI tools to enhance decision-making and prevent fatalities in traffic accidents.

Author

Débora Meireles

Language

EN