Platooning on the edge

C. Quadri, V. Mancuso, M. Marsan, G. P. Rossi
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引用次数: 12

Abstract

Platooning of cars or trucks is one of the most relevant applications of autonomous driving, since it has the potential to greatly improve efficiency in road utilization and fuel consumption. Traditional proposals of vehicle platooning were based on distributed architectures with computation on board platoon vehicles and direct vehicle-to-vehicle (V2V) communications (or Dedicated Short Range Communication - DSRC), possibly with the support of roadside units. However, with the introduction of the 5G technology and of computing elements at the edge of the network, according to the multi-access edge computing (MEC) paradigm, the possibility emerges of a centralized control of platoons through MEC, with several significant advantages with respect to the V2V approach. For this reason, in this paper we investigate the feasibility of vehicle platooning in a centralized scenario where the control of vehicle speed and acceleration is managed by the network through its MEC facilities, possibly with a platooning-as-a-service (PaaS) paradigm. Using a detailed simulator, we show that, with realistic values of latency and packet loss probability, large platoons can be effectively controlled by MEC hosts.
在边缘上排队
汽车或卡车的列队行驶是自动驾驶最相关的应用之一,因为它有可能大大提高道路利用率和燃油消耗的效率。传统的车辆排队方案是基于分布式架构,在车载队列车辆上进行计算,并直接进行车对车(V2V)通信(或专用短程通信- DSRC),可能还需要路边单元的支持。然而,随着5G技术和网络边缘计算元素的引入,根据多接入边缘计算(MEC)范式,通过MEC对队列进行集中控制的可能性出现了,与V2V方法相比,MEC具有几个显着优势。因此,在本文中,我们研究了车辆队列在集中式场景中的可行性,其中车辆速度和加速度的控制由网络通过其MEC设施进行管理,可能采用队列即服务(PaaS)范式。通过详细的模拟器,我们表明,在真实的延迟和丢包概率值下,MEC主机可以有效地控制大型队列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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