A taxonomy and survey of edge cloud computing for intelligent transportation systems and connected vehicles

P Arthurs, L Gillam, P Krause, N Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS)
are based upon the capture and processing of large amounts of sensor data. Modern …

Mobile edge intelligence and computing for the internet of vehicles

J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …

Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)

A Mchergui, T Moulahi, S Zeadally - Vehicular Communications, 2022 - Elsevier
Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems

A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …

Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey

M Mehrabi, D You, V Latzko, H Salah… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …

Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

Architectural design alternatives based on cloud/edge/fog computing for connected vehicles

H Wang, T Liu, BG Kim, CW Lin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

Efficient mobility-aware task offloading for vehicular edge computing networks

C Yang, Y Liu, X Chen, W Zhong, S Xie - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …

Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing

A Lakhan, M Ahmad, M Bilal, A Jolfaei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of vehicular Internet of Things (IoT) applications, such as E-Transport,
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …