The rapid advancement of intelligent vehicles is deemed crucial to the emergence of diverse
compute-intensive applications of assisted driving, which consist of automatic driving, speed …

Smart vehicles are expected to be equipped with high-dimensional, resource-intensive
applications, including platoon control, augmented reality supported gaming, AI-based …

The autonomous driving era is coming with tremendous potential to revolutionize
transportation systems with improved safety, comfort, and intelligence on the road …

With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

As a novel computing paradigm, multiaccess edge computing (MEC) migrates computing
and storage capabilities to edge nodes of the network to meet the requirements of executing …

Abstract Internet of Vehicles (IoVs) consists of smart vehicles, Autonomous Vehicles (AVs)
as well as roadside units (RSUs) that communicate wirelessly to provide enhanced …

Vehicular edge computing (VEC) extends edge computing to vehicular networks by
exploiting computation resources of vehicles to offload tasks from other vehicles and …

Facing the requirements of intelligent vehicles for massive data processing, vehicular edge
computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …

The emergence of the Internet of Vehicles (IoV) aims to facilitate the next generation of
intelligent transportation system (ITS) applications by combining smart vehicles and the …

Blockchain-based Federated Learning (FL) technology enables vehicles to make smart
decisions, improving vehicular services and enhancing the driving experience through a …