Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach
Three hybrid machine learning models are developed and evaluated to classify risky driving behavior into three safety levels using naturalistic driving data from Belgium and the UK, supporting the potential of hybrid deep learning models in improving road safety by accurately detecting risky driving behaviors.