Ahmad Al-Rababah

Improving road safety through optimized and interpretable ensemble models of driver behavior

These findings demonstrate that RF–Bayesian provides a stable, interpretable, and computationally efficient framework for smartphone-based driver behavior classification, with practical relevance for telematics, fleet safety management, driver feedback systems, and intelligent transportation safety applications.