Internet of Vehicular Intelligence: Enhancing Connectivity and Autonomy in Smart Transportation Systems

With the breakthroughs in deep learning, recent years have witnessed a booming of artificial intelligence applications and services designed for vehicles. More recently, with the proliferation of vehicular networks, edge computing, and digital twin, billions of vehicular end devices (e.g., autonomous vehicles, roadside equipments) with high level of intelligence are interconnected and are promoted into the cyberspace or digital twin. Driving by this trend, there is an urgent need to push individual vehicular intelligence to collective vehicular intelligence so as to fully unleash the potential of AI. The resulting new interdiscipline, the internet of vehicular intelligence (IoVI), is beginning to receive a tremendous amount of interest. However, research on IoVI is still in its infancy stage, and the architecture and key features of IoVI are highly desired. To this end, we held a Distributed/Decentralized Hybrid Workshop on Intelligent Vehicles for Social Transportation (DHW-IVST), and this letter summarizes the outcomes of our discussion. Here, we present an overview of the IoVI architectures, frameworks, and virtual vehicle that counts for the features and characteristics of both driver and vehicle in the digital twin.