Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y Xing, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

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 …

ACP-based modeling of the parallel vehicular crowd sensing system: Framework, components and an application example

Y Ren, H Jiang, X Feng, Y Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an emerging paradigm for urban sensing, vehicular crowd sensing (VCS) has received
increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages …

Sora for senarios engineering of intelligent vehicles: V&V, C&C, and beyonds

X Li, Q Miao, L Li, Y Hou, Q Ni, L Fan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The advent of Scenarios Engineering (SE) paves the way to a new era of intelligent vehicles
(IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be …

Quantum collective learning and many-to-many matching game in the metaverse for connected and autonomous vehicles

Y Ren, R Xie, FR Yu, T Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accuracy of artificial intelligence (AI) models is crucial for connected and autonomous
vehicles (CAVs). However, in reality, model training under less frequent weather faces the …

An Innovative Data Integrity Verification Scheme in the Internet of Things assisted information exchange in transportation systems

X Shen, Y Lu, Y Zhang, X Liu, L Zhang - Cluster Computing, 2022 - Springer
The internet of things-based transport networks allows consumers to share services from
storage to devices to access the internet to other users. Broadcast fundamental safety …

An agent-based traffic recommendation system: Revisiting and revising urban traffic management strategies

J Jin, D Rong, Y Pang, P Ye, Q Ji… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Strategic traffic management is crucial for combating traffic congestion at the macroscopic
level. However, such a field is still relatively unexplored, particularly for microscopic control …

Green intelligence networking for connected and autonomous vehicles in smart cities

Y Ren, R Xie, FR Yu, T Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Advanced communication and artificial intelligence (AI) technologies facilitate the
development of green smart cities. Connected and automated vehicles (CAVs) are crucial …

NFT-based intelligence networking for connected and autonomous vehicles: A quantum reinforcement learning approach

Y Ren, R Xie, FR Yu, T Huang, Y Liu - IEEE Network, 2022 - ieeexplore.ieee.org
Recently, the Internet of vehicles (IoV) and connected and autonomous vehicles (CAVs)
have become research hotspots. The accuracy and efficiency of artificial intelligence (AI) …

Cognitive carrier resource optimization for internet-of-vehicles in 5g-enhanced smart cities

F Li, KY Lam, Z Ni, D Niyato, X Liu, L Wang - IEEE Network, 2021 - ieeexplore.ieee.org
Internet-of-Vehicles (IoV), an important part of Intelligent Transportation Systems, is one of
the most strategic applications in smart cities initiatives. The mMTC and URLLC functions of …