no code implementations • 10 Mar 2024 • Ruzanna Mat Jusoh, Konstantinos Ampountolas
To describe traffic dynamics outside of the protected area, the state-space model is augmented with additional state variables to account for vehicle queues at store-and-forward origin links at the periphery.
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.
no code implementations • 6 Jun 2023 • Konstantinos Ampountolas
The proposed filter is evaluated using empirical data collected from the onboard sensors of two 2019 SUV vehicles, namely Hyundai Nexo and SsangYong Rexton, equipped with stock ACC systems; and is compared with batch and recursive least-squares optimization.
no code implementations • 7 Dec 2022 • Long Chen, Piyushimita, Thakuriah, Konstantinos Ampountolas
UberNet empploys a multivariate framework that utilises a number of temporal and spatial features that have been found in the literature to explain demand for ride-hailing services.
