Predictive modeling of drivers’ brake reaction time through machine learning methods

Abstract

This paper investigates the task of predicting drivers’ Brake Reaction Time (BRT) using machine learning methods in the context of driving safety. Data is collected using a driving simulator, and interpretability tools such as variable im- portance and multidimensional partial dependence plots are utilised to interpret the results. The study provides insights into the factors influencing driving safety, with implications for driver training and road safety interventions.