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Development and Evaluation of Interpretable Machine Learning Models for Mitigating Winter Road Safety – An Empirical Investigation
DownloadFall 2024
In Canada, winter crashes account for a significant portion of crashes each year. This thesis investigates the utility of machine learning (ML) for understanding and mitigating winter road risks. Despite their potential to achieve high predictive performance in the face of complex data...
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