no code implementations • 3 Sep 2023 • Theocharis Apostolakis, Konstantinos Ampountolas
This paper proposes and develops a physics-inspired neural network (PiNN) for learning the parameters of commercially implemented adaptive cruise control (ACC) systems in automotive industry.
1 code implementation • 7 Jun 2023 • Theocharis Apostolakis, Michail A. Makridis, Anastasios Kouvelas, Konstantinos Ampountolas
Evidence in the literature shows that automated and human driving modes demonstrate different driving characteristics, i. e., headway policy, spacing policy, reaction time, comfortable acceleration, and others.
