Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get
smarter and connected, and a variety of intelligent applications have emerged. Meanwhile,
the shortage of vehicles' computing capacity makes it insufficient to support a growing
number of applications due to their compute-intensive nature. This contradiction restricts the
development of ICVs and ITS. Under this background, vehicular edge computing networks …

Given the rapid increase of various applications in vehicular networks, it is crucial to
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access
Edge Computing (MEC) as a distributed paradigm, with resource capabilities closer to the
vehicles, would be a promising solution to reduce response time in such a network.
However, MEC suffers from limited resources and is deprived of handling high mobilities
with many diverse applications. This paper proposes cooperation between MEC and central …