  New paradigm shifts and 6G technological revolution in vehicular services
have emerged toward unmanned driving, automated transportation, and
self-driving vehicles. As the technology for autonomous vehicles becomes
mature, real challenges come from reliable, safe, real-time connected
transportation operations to achieve ubiquitous and prompt information
exchanges with massive connected and autonomous vehicles. This article aims at
introducing novel wireless distributed architectures that embed the edge
computing capability inside software-defined vehicular networking
infrastructure. Such edge networks consist of open-loop grant-free
communications and computing-based control frameworks, which enable dynamic
eco-routing with ultra-low latency and mobile data-driven orchestration. Thus,
this work advances the frontiers of machine learning potentials and
next-generation mobile system realization in vehicular networking applications.
