Application of ML algorithms in the context of traffic safety analysis
Application of ML algorithms in the context of traffic safety analysis
Three algorithms are tested for crash severity and frequency analysis, including decision tree (CART), random forest, and model-based recursive partitioning (MOB). Model development, optimization, and evaluation are jointly compared with statistical approaches in the study field (i.e., logistic regression and negative binomial regression models).