Autonomous driving vehicles (ADVs) are the next significant evolution in transportation
systems. Using machine learning techniques supported by strong processing units and …

Digital maps have been installed and attached to vehicles recently. They help with the GPS
receivers to determine the relative locations of vehicles to other existing traffic and objects …

Recent developments in unmanned aerial vehicles (UAVs) have led to the introduction of a
wide variety of innovative applications, especially in the Mobile Edge Computing (MEC) …

Traffic accidents are on the rise due to a multitude of reasons including the increasing
number of vehicles on the roads. Therefore, novel mechanisms to predict traffic accidents …

Nowadays, new services and current IT applications require an increasingly dynamic
telecommunication network capable of adapting to the changing needs of users and network …

With the current evolution in cellular communication towards 6G networks, it is envisioned to
provide value added services and enhanced performance for vehicle-to-everything (V2X). In …

The research trend of these last few years in the Vehicular Ad-hoc Network (VANET) domain
is measuring an enormous raise of interest. Car manufacturers are develo** new models …

In recent years, the interest in Software-Defined Networking (SDN) has been very high.
Many applications of traditional networking have been implemented in SDN environments in …

Self-driving vehicles (SDVs), also known as autonomous vehicles (AVs), are anticipated to
revolutionize transportation by operating independently through the integration of machine …

Autonomous vehicle (AV) is a kind of intelligent car, which is mainly based on the computer
and sensor system inside the car to realize driverless guide. The AVs are cars that recognize …