  Recent advances in information technology have revolutionized the automotive
industry, paving the way for next-generation smart vehicular mobility.
Vehicles, roadside units, and other road users can collaborate to deliver novel
services and applications. These services and applications require 1) massive
volumes of heterogeneous and continuous data to perceive the environment, 2)
reliable and low-latency communication networks, 3) real-time data processing
that provides decision support under application-specific constraints.
Addressing such constraints introduces significant challenges for current
communication and computing technologies. Relatedly, the fifth generation of
cellular networks (5G) was developed to respond to communication challenges by
providing for low-latency, high-reliability, and high bandwidth communications.
As a major part of 5G, edge computing allows data offloading and computation at
the edge of the network, ensuring low-latency and context-awareness, and 5G
efficiency. In this work, we aim at providing a comprehensive overview of the
state of research on vehicular computing in the emerging age of 5G and big
data.
