Gauging road safety advances using a hybrid EWM–PROMETHEE II–DBSCAN model with machine learning
Jialin Li,
Faan Chen
Abstract:IntroductionEnhancing 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.MethodsWe developed a systematic methodology combining the entropy weight method (EWM), preference ranking o… Show more
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