Roussou S., Michelaraki E., Katrakazas C., Afghari A.P., Al Haddad C., Alam M. R., Antoniou C., Papadimitriou E., Brijs T., Yannis G., “Unfolding the dynamics of driving behavior: A machine learning analysis from Germany and Belgium”, Proceedings of the Transport Research Arena TRA 2024 Conference, Dublin, 15-18 April 2024

The i-DREAMS project focuses on establishing a framework known as the ‘Safety Tolerance Zone (STZ)’ to ensure drivers operate within safe boundaries. This study compares Long-Short-Term-Memory Networks and shallow Neural Networks to assess participants’ safety levels during i-DREAMS on-road trials. Thirty German drivers’ trips and Forty-Three Belgian drivers were analyzed using these methods, revealing factors contributing to risky behavior. Results indicate i-DREAMS interventions sig-nificantly enhance driving behavior, with Neural Networks displaying superior performance among the algorithms considered.