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20212024
most citedCharacterizing driver heterogeneity within stochastic traffic simulation

32 citations · 83 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2024★ 3 cited

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…

eess.SY2024★ 2 cited

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…

eess.SY2024★ 19 cited

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…

eess.SY2023★ 15 cited

Energy-based Assessment and Driving Behavior of ACC Systems and Humans Inside Platoons

Theocharis Apostolakis, Michail A. Makridis, Anastasios Kouvelas +1

Evidence in the literature shows that automated and human driving modes demonstrate different driving characteristics, i.e., headway policy, spacing policy, reaction time, comforta…

cs.LG2022★ 12 cited

Time-to-Green predictions for fully-actuated signal control systems with supervised learning

Alexander Genser, Michail A. Makridis, Kaidi Yang +3

Recently, efforts have been made to standardize signal phase and timing (SPaT) messages. These messages contain signal phase timings of all signalized intersection approaches. This…

physics.soc-ph2021★ 32 cited

Characterizing driver heterogeneity within stochastic traffic simulation

Michail A. Makridis, Aikaterini Anesiadou, Konstantinos Mattas +2

Drivers' heterogeneity and the broad range of vehicle characteristics on public roads are primarily responsible for the stochasticity observed in road traffic dynamics. Understandi…