Recently, Multi-access Edge Computing (MEC) has become a promising enabler to support
emerging applications in vehicular networks by offloading compute-intensive tasks from …

Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Machine learning has emerged as a promising paradigm for enabling connected, automated
vehicles to autonomously cruise the streets and react to unexpected situations. A key …

The development of Intelligent Transportation System (ITS) has brought about
comprehensive urban traffic information that not only provides convenience to urban …

Vehicular Ad hoc Networks (VANETs) provide effective vehicular operation for safety as well
as greener and more efficient communication of vehicles in the Dedicated Short Range …

Driver-less cars have become the latest technological advancement in the transportation
industry. They are expected to revolutionize transportation by making it safer, more …

Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …

Over the past decades Machine Learning and Deep Learning algorithm played a vital part in
the development of Autonomous Vehicle. It is indeed for the perception system to examine …

Abstract Transport Mode Detection (TMD) has become a crucial part of Intelligent
Transportation Systems (ITS) thanks to the recent advancements in Artificial Intelligence and …

New paradigm shifts and 6G technological rev-olution in vehicular services have emerged
toward unmanned driving, automated transportation, and self-driving vehicles. As the …