An enhanced framework for automated vehicle crash severity prediction under unobserved heterogeneity using natural language processing and data augmentation
Autonomous vehicle (AV) crashes continue to occur, indicating the need for a comprehensive understanding of their characteristics to support safety management in future mixed-traffic environments. Previous studies employing text mining or rule extraction have faced limitations in generalizing findings due to small, het...
Songha Lee, Nuri Park, Hojae Kim et al.
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