Gauging road safety advances using a hybrid EWM-PROMETHEE II-DBSCAN model with machine learning.
Journal:
Frontiers in public health
PMID:
39238537
Abstract
INTRODUCTION: Enhancing road safety conditions alleviates socioeconomic hazards from traffic accidents and promotes public health. Monitoring progress and recalibrating measures are indispensable in this effort. A systematic and scientific decision-making model that can achieve defensible decision outputs with substantial reliability and stability is essential, particularly for road safety system analyses.