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 …

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 …

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 …

[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 …

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 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 …

Internet of vehicles: Key technologies, network model, solutions and challenges with future aspects

KN Qureshi, S Din, G Jeon… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
New integrated technologies have changed various existing fields and converted into new
and advanced data communication systems including, smart agriculture, smart homes, smart …

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 …

Vehicular intelligence in 6G: Networking, communications, and computing

H Guo, X Zhou, J Liu, Y Zhang - Vehicular Communications, 2022 - Elsevier
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …

Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …