Toward intelligent vehicular networks: A machine learning framework

L Liang, H Ye, GY Li - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
As wireless networks evolve toward high mobility and providing better support for connected
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …

Machine learning for vehicular networks: Recent advances and application examples

H Ye, L Liang, GY Li, JB Kim, L Lu… - ieee vehicular …, 2018 - ieeexplore.ieee.org
The emerging vehicular networks are expected to make everyday vehicular operation safer,
greener, and more efficient and pave the path to autonomous driving in the advent of the fifth …

[HTML][HTML] Machine learning in vehicular networking: An overview

K Tan, D Bremner, J Le Kernec, L Zhang… - Digital Communications …, 2022 - Elsevier
As vehicle complexity and road congestion increase, combined with the emergence of
electric vehicles, the need for intelligent transportation systems to improve on-road safety …

Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G

A Mekrache, A Bradai, E Moulay, S Dawaliby - Vehicular Communications, 2022 - Elsevier
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …

Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks

Z Xia, J Wu, L Wu, Y Chen, J Yang, PS Yu - ACM Transactions on …, 2021 - dl.acm.org
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …

A survey on multi-agent reinforcement learning methods for vehicular networks

I Althamary, CW Huang, P Lin - 2019 15th International …, 2019 - ieeexplore.ieee.org
Under the rapid development of the Internet of Things (IoT), vehicles can be recognized as
mobile smart agents that communicating, cooperating, and competing for resources and …

Routing using reinforcement learning in vehicular ad hoc networks

M Saravanan, P Ganeshkumar - Computational Intelligence, 2020 - Wiley Online Library
In vehicular ad hoc networks (VANETs), the frequent change in vehicle mobility creates
dynamic changes in communication link and topology of the network. Hence, the key …

Future intelligent and secure vehicular network toward 6G: Machine-learning approaches

F Tang, Y Kawamoto, N Kato, J Liu - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

Scheduling the operation of a connected vehicular network using deep reinforcement learning

RF Atallah, CM Assi, MJ Khabbaz - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Driven by the expeditious evolution of the Internet of Things, the conventional vehicular ad
hoc networks will progress toward the Internet of Vehicles (IoV). With the rapid development …