Digital Twin-Based Cloud-Native Vehicular Networks Architecture for Intelligent Driving

As a key technology in intelligent driving, Cooperative Vehicle Infrastructure System is an advanced communication framework that enables cooperative and information exchange between vehicles and infrastructure. However, this system encounters challenges in meeting the low latency, ultra reliability, and high efficiency requirements of task execution of intelligent driving applications. Meanwhile, the deployment and combination of some key technologies supporting this system are not well-established. To address these issues, this article proposes a Digital Twin-based Cloud-native Vehicular Networks (DT-CVN) architecture to enhance the efficiency of virtual-reality integration in real-world vehicle traffic scenarios. In DT-CVN, the digital twins, which can bridge the physical space and cyberspace gaps in real-time, are implemented and deployed in a distributed manner by leveraging the distributed features of microservices based on cloud-native technology. DT-CVN employs the cybertwin as a smart communication agent in cloud-native vehicular networks, enabling efficient communication between cyberspace and physical spaces. Moreover, a case study is presented to demonstrate the effectiveness of DT-CVN. Simulation result shows the potential to address the challenges of integrating resources in vehicular networks with our proposed DT-CVN.