no code implementations • 21 Feb 2024 • Shaimaa K. El-Baklish, Anastasios Kouvelas, Michail A. Makridis
This study introduces a novel variable time gap feedback control policy aimed at striking a balance between maintaining a minimum time gap setting under equilibrium car-following conditions, thereby improving traffic capacity, while ensuring string stability to mitigate disturbances away from the equilibrium flow.
no code implementations • 20 Feb 2024 • Linghang Sun, Michail A. Makridis, Alexander Genser, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas
While previous research works have dedicated efforts to improving the robustness or resilience of transportation systems against disruptions, this paper applies the cutting-edge concept of antifragility to better design a traffic control strategy for urban road networks.
no code implementations • 1 Feb 2024 • Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail A. Makridis
The continuous increase in traffic demand presents a substantial challenge to the optimal operation of urban road networks and the efficiency of traffic control strategies.
no code implementations • 30 Jan 2024 • Michail A. Makridis, Anastasios Kouvelas, Jorge A. Laval
We propose a simple and effective method to derive the Fundamental Diagram (FD) from platoon vehicle trajectories.
no code implementations • 29 Jan 2024 • Yifan Zhang, Anastasios Kouvelas, Michail A. Makridis
The calibrated shockwave speed of the CV is then utilized for trajectory reconstruction of other non-connected vehicles based on shockwave theory.
no code implementations • 21 Dec 2023 • Cristian Axenie, Oliver López-Corona, Michail A. Makridis, Meisam Akbarzadeh, Matteo Saveriano, Alexandru Stancu, Jeffrey West
Antifragility characterizes the benefit of a dynamical system derived from the variability in environmental perturbations.
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 • 24 Aug 2022 • Alexander Genser, Michail A. Makridis, Kaidi Yang, Lukas Ambühl, Monica Menendez, Anastasios Kouvelas
Recently, efforts have been made to standardize signal phase and timing (SPaT) messages.