Analysis of the Intra-Platoon Message Delivery Delay in a Platoon of Vehicles

Analysis of the Intra-Platoon Message Delivery Delay in a Platoon of Vehicles
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排车辆排内消息传递延迟分析

DOI:
10.1109/tvt.2021.3076157
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发表时间:
2021-04
影响因子:
6.8
通讯作者:
Cheng Li
Cheng Li
中科院分区:
计算机科学2区
文献类型:
--
作者:
Bingying Wang;Jun Zheng;Qilei Ren;Yuying Wu;Cheng Li

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联网自动驾驶车辆(CAVs)队列是最有前途的自动驾驶应用之一。车队中的车辆需要及时传递道路安全信息,以便及时改变它们的速度,从而保持车队的稳定性。排内消息传递延迟是一个关键指标,对维持排的稳定性有很大影响。它取决于几个系统参数,如车队中的车辆数量,车队内的间距,以及非车队车辆的分布。研究了在高速公路上行驶的多个CAV编队中的编队内消息传递延迟问题。建立了一个理论分析模型,研究了主要系统参数对队列内消息传递延迟的影响。推导的分析模型考虑了V2V逐跳通信模式,并考虑了队列和非队列车辆节点对信道接入竞争的影响。还考虑了隐藏车辆节点的影响。通过仿真结果验证了推导的解析模型,并通过数值计算研究了主要系统参数对队列内消息传递延迟的影响。所建立的分析模型可为系统参数设置提供合理的参考值,以保持连续行驶车队的稳定性。
A platoon of connected and automated vehicles (CAVs) is one of the promising autonomous-driving applications. Vehicles in a platoon need timely delivery of road-safety information in order to alter their speeds in time and thus maintain the stability of the platoon. The intra-platoon message delivery delay is a critical metric that has a big impact on the maintenance of a platoon’s stability. It depends on several system parameters, such as the number of vehicles in a platoon, the intra-platoon spacing, and the distribution of non-platoon vehicles. This paper studies the analysis of the intra-platoon message delivery delay in a platoon of CAVs moving on a highway road. A theoretical analytical model is derived to investigate the impacts of major system parameters on the intraplatoon message delivery delay. The derived analytical model considers a V2V hop-by-hop communication mode and takes into account the effects of both platoon and non-platoon vehicle nodes on channel access contention. The effect of hidden vehicle nodes is also considered. The derived analytical model is validated through simulation results and the impacts of major system parameters on the intra-platoon message delivery delay are investigated through numerical results. The derived analytical model can be used to provide reasonable reference values for system parameter setting in order to maintain the stability of an autonomous-driving platoon.
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