6G Networks for Automated Driving: Building AI-Driven Mobility Platform Towards Cooperative Vehicular Communication
DOI:
https://doi.org/10.54228/mjaret0624024Keywords:
6G Networks; AI-Driven Mobility; Automated Driving; Cooperative Vehicular Communication; Edge Computing; Inter-Vehicle Distance Control; Intelligent Transportation SystemsAbstract
6G networks with AI-enabled platforms will accelerate the development of automated driving by enhancing vehicular communication and safety. In this paper, we propose a framework of cooperative vehicular communication based on a 6G network, which enables timely interactions between vehicles, the roadside infrastructure and the edge devices. Based on the ultra-low latency (50% lower than 5G), high-speed data transmission, and AI decision-making capability, it is able to provide bedrock support for autonomous driving, which is more efficient and reliable. The key features of the proposed platform include inter-vehicle distance control, joint topology formation and edge computing, which enhance the collaborative performance of vehicles, reducing the percentage of traffic congestion by 35% and risks of accidents by 40%. Comparative simulations show that the 6G cooperative vehicular communication platform has a 45% improvement in communication capability in terms of efficiency, over 5G, and a 30% enhancement in terms of safety metrics. This platform will inevitably lead to the intelligent transportation revolution.
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