From Prediction to Prevention: Using Text Mining and ...

Executive Summary

The study integrates structured and unstructured data within a novel machine learning framework that combines topic modeling and predictive analytics. This approach aims to transition from merely predicting road safety issues to actively preventing them. By leveraging both structured and unstructured data, the framework enhances the ability to identify potential hazards and implement preventive measures effectively. The integration of these data types allows for a more comprehensive understanding of road safety dynamics, potentially leading to significant improvements in safety outcomes.