The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via
wireless communications to effectively control vehicles and improve traffic efficiency …

It is widely recognized that connected vehicles have the potential to further improve the road
safety, transportation intelligence and enhance the in-vehicle entertainment. By leveraging …

Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

The emergence of augmented reality (AR), autonomous driving and other new applications
have greatly enriched the functionality of the vehicular networks. However, these …

Mobile edge computing (MEC) has emerged as a promising paradigm to realize user
requirements with low-latency applications. The deep integration of multi-access …

With the development of autonomous driving, the surging demand for data communications
as well as computation offloading from connected and automated vehicles can be expected …

Next-generation smart cities and Internet of Things (IoT) are getting more mature in terms of
services and infrastructure requirements. Multiple smart vehicle applications are being …

Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

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

Edge computing has great potential to address the challenges in mobile vehicular networks
by transferring partial storage and computing functions to network edges. However, it is still …