Parallel driving in CPSS: A unified approach for transport automation and vehicle intelligence

FY Wang, NN Zheng, D Cao… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
The emerging development of connected and automated vehicles imposes a significant
challenge on current vehicle control and transportation systems. This paper proposes a …

Parallel internet of vehicles: ACP-based system architecture and behavioral modeling

X Wang, S Han, L Yang, T Yao… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Vehicles in Internet of Vehicles (IoV) exchange information about location, environment,
infotainment, as well as social information with other units via vehicular communication …

Cyber-physical-social system in intelligent transportation

G Xiong, F Zhu, X Liu, X Dong, W Huang… - IEEE/CAA Journal of …, 2015 - ieeexplore.ieee.org
A cyber-physical system (CPS) is composed of a physical system and its corresponding
cyber systems that are tightly fused at all scales and levels. CPS is helpful to improve the …

The opencda open-source ecosystem for cooperative driving automation research

R Xu, H Xiang, X Han, X Xia, Z Meng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …

Cooperative connected autonomous vehicles (CAV): research, applications and challenges

J He, Z Tang, X Fu, S Leng, F Wu… - 2019 IEEE 27th …, 2019 - ieeexplore.ieee.org
Road accidents and traffic congestion are two critical problems for global transport systems.
Connected vehicles (CV) and automated vehicles (AV) are among the most heavily …

Leveraging multiagent learning for automated vehicles scheduling at nonsignalized intersections

Y Xu, H Zhou, T Ma, J Zhao, B Qian… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Recent advancements of Vehicle-to-Everything (V2X) communication combined with
artificial intelligence (AI) technologies have shown enormous potentials for improving traffic …

Parallel driving OS: A ubiquitous operating system for autonomous driving in CPSS

L Chen, Y Zhang, B Tian, Y Ai, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of autonomous driving technologies, a vast array of autonomous
driving algorithms and platforms have emerged. These algorithms and platforms are usually …

Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections

Z Bai, P Hao, W Shangguan, B Cai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving
technology, connected and automated vehicles are quickly becoming one of the …

Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles

H Shi, Y Zhou, K Wu, S Chen, B Ran, Q Nie - Knowledge-Based Systems, 2023 - Elsevier
Connected automated vehicles (CAVs) are broadly recognized as next-generation
transformative transportation technologies having great potential to improve traffic safety …

Digital twin empowered mobile edge computing for intelligent vehicular lane-changing

B Fan, Y Wu, Z He, Y Chen, TQS Quek, CZ Xu - IEEE Network, 2021 - ieeexplore.ieee.org
With automated driving forthcoming, lane-changing for Connected and Automated Vehicles
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …