An enhanced framework for automated vehicle crash severity prediction under unobserved heterogeneity using natural language processing and data augmentation
Objective 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...