Di Tang

A Multidimensional Framework for Traffic Accident Consequence Prediction: Integrating Multi-Objective Optimization, Explainable AI, and Causal Inference

This study develops an integrated framework combining multi-output prediction, NSGA-II multi-objective optimization, SHAP-based interpretation, LOWESS nonlinear analysis, and DirectLiNGAM causal inference that provides evidence for multidimensional accident-consequence category prediction and differentiated traffic saf...