A review of 6G autonomous intelligent transportation systems: Mechanisms, applications and challenges

X Deng, L Wang, J Gui, P Jiang, X Chen, F Zeng… - Journal of Systems …, 2023 - Elsevier
Thanks to the explosive evolution of 6G, Artificial intelligence, Blockchain, Cloud computing,
Data, and Edge computing (6G+ ABCDE), it is possible to make Intelligent Transportation …

UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey

X Yan, T Fu, H Lin, F Xuan, Y Huang, Y Cao, H Hu… - Applied Sciences, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …

Distributed age-of-information optimization in edge computing for internet of vehicles

L Yang, Y Zou, D Yu, J Yu - Journal of Systems Architecture, 2023 - Elsevier
As an important concept to depict the freshness of an information when it arrives at the
destination, the Age-of-Information (AoI) and its relative scheduling works can be a very …

dMCLAEKS: Pairing-free designated-tester multi-recipient certificateless authenticated encryption with keyword search for concealing search patterns

L Sun, Z Cao, X Dong, J Shen, M Wang… - Journal of Systems …, 2023 - Elsevier
Abstract Modern Industrial Internet of Things (IIoT) technologies, such as smart grids, 5G-
enabled unmanned aerial vehicles (UAV), and supply chain 4.0, can be leveraged to …

Integrating Electric Vertical Takeoff and Landing Aircraft into Public Airspace: A Scenario Study

R Bridgelall, S White, D Tolliver - Future Transportation, 2023 - mdpi.com
The successful deployment of Advanced Air Mobility (AAM) requires the safe integration of
electric vertical takeoff and landing (eVTOL) aircraft in non-segregated airspace. However, a …

FDAN: Fuzzy deep attention networks for driver behavior recognition

W Xiao, G Xie, H Liu, W Chen, R Li - Journal of Systems Architecture, 2024 - Elsevier
Driver behavior is an essential factor affecting traffic safety, and driver behavior monitoring
systems (DMSs) are widely exploited in intelligent transportation systems to reduce the risk …

Traffic prediction for diverse edge IoT data using graph network

T Shen, L Zhang, R Geng, S Li, B Sun - Journal of Cloud Computing, 2024 - Springer
More researchers are proposing artificial intelligence algorithms for Internet of Things (IoT)
devices and applying them to themes such as smart cities and smart transportation. In recent …

Umix: Sustainable Multi-UAV Coordination for Aerial-Terrestrial Networks

T Ding, L Liu, Z Yan, L Cui - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
The deployment of Unmanned Aerial Vehicles (UAVs) alongside wireless communication
networks as Aerial-Terrestrial Network (ATN) in vast and remote wilderness regions shows a …

A new intelligent cross-domain routing method in SDN based on a proposed multiagent reinforcement learning algorithm

M Ye, LQ Huang, XL Wang, Y Wang… - International Journal of …, 2024 - emerald.com
Purpose A cross-domain intelligent software-defined network (SDN) routing method based
on a proposed multiagent deep reinforcement learning (MDRL) method is developed …

Exploring Safety Culture in Urban Air Mobility: System of Systems Perspectives Using Enterprise Architecture

R Hoffmann, H Nishimura, P Gomes - Systems, 2024 - mdpi.com
Urban Air Mobility (UAM) is an emerging industry marked by technological advancements,
new operational contexts, and regulatory frameworks. This article examines how to improve …