An overview on optimal flocking

LE Beaver, AA Malikopoulos - Annual Reviews in Control, 2021 - Elsevier
The decentralized aggregate motion of many individual robots is known as robotic flocking.
The study of robotic flocking has received considerable attention in the past twenty years. As …

A survey on intersection management of connected autonomous vehicles

M Khayatian, M Mehrabian, E Andert… - ACM Transactions on …, 2020 - dl.acm.org
Intersection management of Connected Autonomous Vehicles (CAVs) has the potential to
improve safety and mobility. CAVs approaching an intersection can exchange information …

A research and educational robotic testbed for real-time control of emerging mobility systems: From theory to scaled experiments [applications of control]

B Chalaki, LE Beaver, AMI Mahbub… - IEEE Control …, 2022 - ieeexplore.ieee.org
Emerging mobility systems, for example, connected and automated vehicles (CAVs), shared
mobility, and electric vehicles, mark a paradigm shift in which myriad opportunities exist for …

Zero-shot autonomous vehicle policy transfer: From simulation to real-world via adversarial learning

B Chalaki, LE Beaver, B Remer, K Jang… - 2020 IEEE 16th …, 2020 - ieeexplore.ieee.org
In this article, we demonstrate a zero-shot transfer of an autonomous driving policy from
simulation to University of Delaware's scaled smart city with adversarial multi-agent …

[HTML][HTML] Autonomous and Electric Vehicles in Urban Living Labs: Smart Mobility Strategies for the Future

AA Mendoza-Armenta, LC Félix-Herrán, B Silvestri… - Energies, 2024 - mdpi.com
The deployment of electric, connected, and autonomous vehicles on public roads presents a
significant challenge that can be addressed through previously established frameworks …

Implementation and experimental validation of data-driven predictive control for dissipating stop-and-go waves in mixed traffic

J Wang, Y Zheng, J Dong, C Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In this article, we present the first experimental results of data-driven predictive control for
connected and autonomous vehicles (CAVs) in dissipating traffic waves. In particular, we …

A multi-agent deep reinforcement learning coordination framework for connected and automated vehicles at merging roadways

SKS Nakka, B Chalaki… - 2022 American Control …, 2022 - ieeexplore.ieee.org
The steady increase in the number of vehicles operating on the highways continues to
exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions …

A survey on small-scale testbeds for connected and automated vehicles and robot swarms

A Mokhtarian, J Xu, P Scheffe, M Kloock… - arXiv preprint arXiv …, 2024 - arxiv.org
Connected and automated vehicles and robot swarms hold transformative potential for
enhancing safety, efficiency, and sustainability in the transportation and manufacturing …

A decentralized time-and energy-optimal control framework for connected automated vehicles: From simulation to field test

AM Mahbub, V Karri, D Parikh, S Jade… - arXiv preprint arXiv …, 2019 - arxiv.org
The implementation of connected and automated vehicle (CAV) technologies enables a
novel computational framework for real-time control aimed at optimizing energy …

[PDF][PDF] The smart city transport and logistics system: Theory, methodology and practice.

GV Savin - Upravlenec, 2021 - pdfs.semanticscholar.org
Forming the systems of flow processes management in the context of limited resources and
a sharing economy is among the most pressing problems of digitalization. The scientific …