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This project conducts data analysis on railway safety by segmenting traffic incident data into distinct clusters. Utilizing both global and cluster-specific KernelRidge regression models, we predict traffic incident occurrences. The analysis, enhanced by visual graphs, aims to inform safety improvements and reduce accidents on railways.
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ethanvillalobos8/summer-REU-project
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This project conducts data analysis on railway safety by segmenting traffic incident data into distinct clusters. Utilizing both global and cluster-specific KernelRidge regression models, we predict traffic incident occurrences. The analysis, enhanced by visual graphs, aims to inform safety improvements and reduce accidents on railways.
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