Parallel vision for intelligent transportation systems in metaverse: Challenges, solutions, and potential applications

H Zhang, G Luo, Y Li, FY Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Metaverse and intelligent transportation system (ITS) are disruptive technologies that have
the potential to transform the current transportation system by decreasing traffic accidents …

DeCAST in TransVerse for parallel intelligent transportation systems and smart cities: Three decades and beyond

C Zhao, Y Lv, J Jin, Y Tian, J Wang… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Parallel transportation management and control was proposed three decades ago as a new
paradigm for conducting complex transportation operations and has led to today's DeCAST …

Decentralized autonomous operations and organizations in transverse: Federated intelligence for smart mobility

C Zhao, X Dai, Y Lv, J Niu, Y Lin - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human and social factors are essential to transportation systems, yet top-down management
fails to consider them sufficiently. Consequently, management strategies are not tailored to …

A novel approach for predictable governance of decentralized autonomous organizations based on parallel intelligence

W Ding, X Liang, J Hou, J Li, Y Rouabah… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Decentralized autonomous organizations (DAOs) have become an indispensable part of
digital infrastructure in recent years. The unique organizational characteristics and functional …

Parallel transportation in TransVerse: From foundation models to DeCAST

C Zhao, X Wang, Y Lv, Y Tian, Y Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Rapid development of AI technologies has propelled the seamless integration of physical
and cyber worlds with various kinds of online/offline information collected from millions of …

Parallel training: An ACP-based training framework for iterative learning in uncertain driving spaces

J Wang, X Wang, Y Tian, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The traffic environment and driving behaviors are of great complexity and uncertainty in our
physical world. Therefore, training in the digital world with low cost and diverse complexities …

[PDF][PDF] Intelligent traffic management using IoT and machine learning

R Atassi, A Sharma - Journal of Intelligent Systems and Internet …, 2023 - researchgate.net
The continuous improvements on the Internet of Things (IoTs) and machine learning (ML)
make them the key enabling technologies for intelligent traffic management (ITM). The ability …

Parallel intelligent monitoring system of port water quality based on the ACP method

J Guo, Z Jiang, X Chu, W Wang - Journal of Marine Science and …, 2024 - mdpi.com
With the rapid development of port construction and the shipping industry, port water quality
issues are of great concern. This is always a challenging task due to the frequent human …

Privacy preserved and decentralized smartphone recommendation system

AA Khan, M Driss, W Boulila… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The increasing popularity of mobile phones has led to an abundance of online reviews,
making it challenging for consumers to make well-informed purchasing decisions. This study …

Hierarchical coordination Multi-agent reinforcement learning with spatio-temporal abstraction

T Ma, K Peng, H Rong, Y Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Many real-world cooperative problems can be implemented using Multi-Agent
Reinforcement Learning (MARL) techniques, such as urban traffic control or multi-role …