Xu Tang

A Dual-Track Feature Fusion and Interpretable Prediction Framework for Transportation Accident Severity Under Small-Sample and Class-Skew Constraints

Accurately predicting transportation accident severity is critical for targeted risk governance, yet research based on accident investigation reports is often hampered by small sample sizes and skewed class distributions. This study develops a dual-track feature fusion and interpretable prediction framework to overcome...