TY - JOUR
T1 - Unfolding the dynamics of driving behavior
T2 - a machine learning analysis from Germany and Belgium
AU - Roussou, Stella
AU - Michelaraki, Eva
AU - Katrakazas, Christos
AU - Afghari, Amir Pooyan
AU - Al Haddad, Christelle
AU - Alam, Md Rakibul
AU - Antoniou, Constantinos
AU - Papadimitriou, Eleonora
AU - Brijs, Tom
AU - Yannis, George
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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 significantly enhance driving behavior, with Neural Networks displaying superior performance among the algorithms considered.
AB - 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 significantly enhance driving behavior, with Neural Networks displaying superior performance among the algorithms considered.
KW - Driving behavior
KW - Long-short-term-memory network (LSTM)
KW - Machine learning
KW - Neural network
KW - On-road field trials
UR - http://www.scopus.com/inward/record.url?scp=85197443625&partnerID=8YFLogxK
U2 - 10.1186/s12544-024-00655-z
DO - 10.1186/s12544-024-00655-z
M3 - Article
AN - SCOPUS:85197443625
SN - 1867-0717
VL - 16
JO - European Transport Research Review
JF - European Transport Research Review
IS - 1
M1 - 40
ER -