Intelligent intersection management systems considering autonomous vehicles: A systematic literature review

E Namazi, J Li, C Lu - Ieee Access, 2019 - ieeexplore.ieee.org
Over the past several decades, the development of technologies and the production of
autonomous vehicles have enhanced the need for intelligent intersection management …

A Systematic literature review of autonomous and connected vehicles in traffic management

F Alanazi - Applied Sciences, 2023 - mdpi.com
The emergence of autonomous vehicles and the advancement of technology over the past
several decades has increased the demand for intelligent intersection management …

Privacy and Trust in the Internet of Vehicles

E Zavvos, EH Gerding, V Yazdanpanah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles aims to fundamentally improve transportation by connecting
vehicles, drivers, passengers, and service providers together. Several new services such as …

Efficiency and safety of traffic networks under the effect of autonomous vehicles

SM Hosseinian, H Mirzahossein - Iranian Journal of Science and …, 2024 - Springer
Efficiency and safety are two crucial aspects that have garnered significant attention in the
context of traffic networks. The investigation of autonomous vehicles (AVs) in terms of …

A comprehensive survey on cooperative intersection management for heterogeneous connected vehicles

A Gholamhosseinian, J Seitz - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays, with the advancement of technology, world is trending toward high mobility and
dynamics. In this context, intersection management (IM) as one of the most crucial elements …

Optimization-based approach for resilient connected and autonomous intersection crossing traffic control under V2X communication

Q Lu, H Jung, KD Kim - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
In this paper, we present an optimization-based approach for safe, efficient, and resilient
autonomous intersection traffic control in realistic vehicle-to-everything (V2X) …

Learning representation for anomaly detection of vehicle trajectories

R Jiao, J Bai, X Liu, T Sato, X Yuan… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Predicting the future trajectories of surrounding vehicles based on their history trajectories is
a critical task in autonomous driving. However, when small crafted perturbations are …

[HTML][HTML] AIM5LA: A latency-aware deep reinforcement learning-based autonomous intersection management system for 5G communication networks

GP Antonio, C Maria-Dolores - Sensors, 2022 - mdpi.com
The future of Autonomous Vehicles (AVs) will experience a breakthrough when collective
intelligence is employed through decentralized cooperative systems. A system capable of …

Safety-assured speculative planning with adaptive prediction

X Liu, R Jiao, Y Wang, Y Han… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …

Mixed-traffic intersection management utilizing connected and autonomous vehicles as traffic regulators

PC Chen, X Liu, CW Lin, C Huang, Q Zhu - … of the 28th Asia and South …, 2023 - dl.acm.org
Connected and autonomous vehicles (CAVs) can realize many revolutionary applications,
but it is expected to have mixed-traffic including CAVs and human-driving vehicles (HVs) …