88 citations · 305 across the 31 of their papers we have counts for
6 papers · 2 filters
Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies
Kevin Riehl, Michail Makridis, Anastasios Kouvelas
Advancements in computer science, artificial intelligence, and control systems of the recent have catalyzed the emergence of cybernetic societies, where algorithms play a significa…
Driving Towards Stability and Efficiency: A Variable Time Gap Strategy for Adaptive Cruise Control
Shaimaa K. El-Baklish, Anastasios Kouvelas, Michail A. Makridis
Automated vehicle technologies offer a promising avenue for enhancing traffic efficiency, safety, and energy consumption. Among these, Adaptive Cruise Control (ACC) systems stand o…
Antifragile perimeter control: Thriving on disruptions through reinforcement learning
Linghang Sun, Michail A. Makridis, Alexander Genser +3
The optimal operation of transportation systems is often susceptible to unexpected disruptions. Many established control strategies reliant on mathematical models can struggle with…
The fragile nature of road transportation networks
Linghang Sun, Yifan Zhang, Cristian Axenie +3
Major cities worldwide experience problems with the performance of their road transportation networks, and the continuous increase in traffic demand presents a substantial challeng…
Platoon Fundamental Diagram estimation can be Markovian: evidence from human- and self-driven vehicle trajectories
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. Average traffic state variables are computed using Edie's general…
A Time-varying Shockwave Speed Model for Trajectory Reconstruction using Lagrangian and Eulerian Observations
Yifan Zhang, Anastasios Kouvelas, Michail A. Makridis
Inference of detailed vehicle trajectories is crucial for applications such as traffic flow modeling, energy consumption estimation, and traffic flow optimization. Static sensors c…