Enhanced Driving with 5G: A New Approach for Alleviating Traffic Congestion

Roberto Torre Arranz, Goiuri Peralta, Oleksandr Zhdanenko, Alexander Kropp, H. Salah, Giang T. Nguyen, S. Mudriievskyi, F. Fitzek
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引用次数: 0

Abstract

Traffic congestion and jams cause delays, which can be critical in public safety use cases where lives are at stake. Vehicle to Everything (V2X), by enabling vehicles to communicate with each others and with roadside infrastructure, provides revolutionary applications such as grouping the vehicles into platoons, autonomous driving, and traffic flow management. While these applications help to leverage road capacity, thus to improve traffic efficiency and safety, they require an ultra-reliable low latency communications and high data traffic. 5G enabling technologies such as Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC) help to meet these requirements. Our contribution is twofold: First, we introduce a novel approach, exploiting the aforementioned technologies, to alleviate traffic congestion and jams. Second, we demonstrate our approach and its utility through a realistic emergency use case.
5G增强驾驶:缓解交通拥堵的新途径
交通拥堵会导致延误,这在危及生命的公共安全用例中至关重要。车辆到一切(V2X)通过使车辆之间以及与路边基础设施进行通信,提供了革命性的应用,例如将车辆分组、自动驾驶和交通流量管理。虽然这些应用有助于利用道路容量,从而提高交通效率和安全性,但它们需要超可靠的低延迟通信和高数据流量。网络功能虚拟化(NFV)和多接入边缘计算(MEC)等5G使能技术有助于满足这些需求。我们的贡献是双重的:首先,我们引入了一种新颖的方法,利用上述技术来缓解交通拥堵。其次,我们通过一个现实的紧急用例演示我们的方法及其效用。
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