Urban mobility is a current problem of modern society and large cities, which leads to
economic and time losses, high fuel consumption, and high CO 2 emission. Some studies …

Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

Recently, realizing machine learning (ML)-based technologies with the aid of mobile edge
computing (MEC) in the vehicular network to establish an intelligent transportation system …

A vehicular ad hoc network (VANET) can help in reducing accidents by sending safety
messages to the vehicles. High mobility and high dynamics of vehicles give rise to many …

The future intelligent network requires seamless coverage, low latency, and ultrareliable
communication, which is far from enough for the current vehicular network. The space–air …

The articles in this special section focuses on Vehicle (IoV) technologies and applications.
With the significant development of smart vehicles, IoV technologies have received …

The new era of vehicular communication is expecting a transition to the Internet of Vehicles
(IoV) from traditional Vehicular Ad-hoc Networks and this paper briefly explores the reasons …

The density of traffic is increasing daily in the world. As a result, congestion, accidents, and
pollution are also increasing. Vehicular ad hoc network VANET, a subclass of mobile ad hoc …

We are on the cusp of a new era of connected autonomous vehicles with unprecedented
user experiences, tremendously improved road safety and air quality, highly diverse …

Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …