The articles in this special section focus on vehicular networks in the era of 6G mobile communication. With the growth of the vehicle population, vehicular networks play a key role in building safe, efficient, and intelligent transport systems and has been attracting a lot of attention from both academic and industrial communities around the world. The rise of autonomous driving technology and the prosperity of mobile applications, e.g., real-time video analytic, image-aided navigation, natural language processing, and etc, have brought tremendous pressure on current vehicular networks, e.g., high bandwidth, ultra-low latency, high reliability, high security, powerful computation capability, and massive connections. It is necessary to continue to develop vehicular networks by combining the latest research intends in other fields to meet quickly rising communication and computation demands. The upcoming 6G technology, which provides Holographic and Artificial Intelligence (AI) enabled communications, together with the increasing implementation of artificial intelligence in mobile devices, will lead to a new research trend to end-edge-cloud orchestrated computing with intelligence. It means that, not only the intelligent communication protocols, but also the intelligent computing resource management and machine learning algorithms among the mobile vehicles, the edge and the cloud, should be redesigned to support the development of vehicular networks.
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