Machine learning for vehicular networks
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 …
greener, and more efficient, and pave the path to autonomous driving in the advent of the …
Machine learning for vehicular networks: Recent advances and application examples
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 …
greener, and more efficient and pave the path to autonomous driving in the advent of the fifth …
Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Toward intelligent vehicular networks: A machine learning framework
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 …
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
[HTML][HTML] Machine learning in vehicular networking: An overview
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 …
electric vehicles, the need for intelligent transportation systems to improve on-road safety …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
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 …
and transportation around the world for many years to come. However, with the rapid growth …
Recent advances in machine learning and deep learning in vehicular ad-hoc networks: a comparative study
The expanding population necessitates the development of solutions to make human life
easier. Smart transportation plays an important role in society by improving road security …
easier. Smart transportation plays an important role in society by improving road security …
Federated machine learning in vehicular networks: A summary of recent applications
Future Intelligent Transportation Systems (ITS) can improve on-road safety and
transportation efficiency and vehicular networks (VNs) are essential to enable ITS …
transportation efficiency and vehicular networks (VNs) are essential to enable ITS …
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 …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …
intelligent transportation. Through physical technologies, applications, protocols, and …