Vessel trajectory prediction in maritime transportation: Current approaches and beyond

X Zhang, X Fu, Z **ao, H Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

An edge traffic flow detection scheme based on deep learning in an intelligent transportation system

C Chen, B Liu, S Wan, P Qiao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An intelligent transportation system (ITS) plays an important role in public transport
management, security and other issues. Traffic flow detection is an important part of the ITS …

A fuzzy logic-based intelligent multiattribute routing scheme for two-layered SDVNs

L Zhao, Z Yin, K Yu, X Tang, L Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the complicated and changing urban traffic conditions and the dynamic mobility of
vehicles, the network topology can rapidly change which causes the communication links …

A hybrid approach to trust node assessment and management for vanets cooperative data communication: Historical interaction perspective

H Gao, C Liu, Y Yin, Y Xu, Y Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) provide self-organized wireless multihop transmission,
where nodes cooperate with each other to support data communication. However, malicious …

SSUR: an approach to optimizing virtual machine allocation strategy based on user requirements for cloud data center

Y Huang, H Xu, H Gao, X Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cloud data centers provide services for an increasing number of applications. The virtual
machines (VMs) that perform the corresponding application tasks need to be allocated to …

UAV-assisted content delivery in intelligent transportation systems-joint trajectory planning and cache management

A Al-Hilo, M Samir, C Assi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are gaining growing interests due to the paramount roles
they play, particularly these days, in enabling new services that help modernize our …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …

Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience

E Ndaguba, J Cilliers, S Ghosh, S Herath, ET Mussi - Sensors, 2023 - mdpi.com
This literature review highlights the emergence of the Internet of Things (IoT) and the
proliferation of connected devices as the driving force behind the adoption of smart spaces …

Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework

AJM Muzahid, SF Kamarulzaman, MA Rahman… - Scientific reports, 2023 - nature.com
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …

A V2I and V2V collaboration framework to support emergency communications in ABS-aided Internet of Vehicles

Y He, D Wang, F Huang, R Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Providing reliable and flexible emergency communications for the Internet of Vehicles (IoV)
is challenging in post-disaster scenarios, especially when communications infrastructures …