Quick and Autonomous Platoon Maintenance in Vehicle Dynamics For Distributed Vehicle Platoon Networks

Ankur Sarker, Chenxi Qiu, Haiying Shen
{"title":"Quick and Autonomous Platoon Maintenance in Vehicle Dynamics For Distributed Vehicle Platoon Networks","authors":"Ankur Sarker, Chenxi Qiu, Haiying Shen","doi":"10.1145/3054977.3054998","DOIUrl":null,"url":null,"abstract":"Platoon systems, as a type of adaptive cruise control systems,will play a significant role to improve travel experience androadway safety. The stability of a platoon system is crucialso that each vehicle maintains a safety distance from itsproceeding vehicle and can take necessary actions to avoidcollisions. However, current centralized platoon maintenancemethod cannot meet this requirement. We suggest to use adecentralized platoon maintenance method, in which eachvehicle communicates with its neighbor vehicles and self-determines its own velocity. However, a vehicle needs toknow its distance from its preceding vehicle to determineits velocity, which is unavailable in vehicle communicationdisconnection caused by vehicle dynamics (i.e., node joinsand departures). Thus, a formidable challenge is: how torecover the platoon quickly in vehicle dynamics even when thedistance information is unavailable? To handle this challenge,we first profile a succeeding vehicle’s velocity to minimizethe time to recover the connectivity hole with its precedingvehicle and find that the profiles are almost the same at thebeginning regardless of its current velocity and distance to itspreceding vehicle. Accordingly, we devise a strategy, in whicha succeeding vehicle uses its stored common velocity profilewhen it is disconnected from its preceding vehicle and thenadjusts its velocity once the connection is built. Experimentalresults from simulation show the efficiency and effectivenessof our decentralized platoon maintenance method.","PeriodicalId":179120,"journal":{"name":"2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3054977.3054998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Platoon systems, as a type of adaptive cruise control systems,will play a significant role to improve travel experience androadway safety. The stability of a platoon system is crucialso that each vehicle maintains a safety distance from itsproceeding vehicle and can take necessary actions to avoidcollisions. However, current centralized platoon maintenancemethod cannot meet this requirement. We suggest to use adecentralized platoon maintenance method, in which eachvehicle communicates with its neighbor vehicles and self-determines its own velocity. However, a vehicle needs toknow its distance from its preceding vehicle to determineits velocity, which is unavailable in vehicle communicationdisconnection caused by vehicle dynamics (i.e., node joinsand departures). Thus, a formidable challenge is: how torecover the platoon quickly in vehicle dynamics even when thedistance information is unavailable? To handle this challenge,we first profile a succeeding vehicle’s velocity to minimizethe time to recover the connectivity hole with its precedingvehicle and find that the profiles are almost the same at thebeginning regardless of its current velocity and distance to itspreceding vehicle. Accordingly, we devise a strategy, in whicha succeeding vehicle uses its stored common velocity profilewhen it is disconnected from its preceding vehicle and thenadjusts its velocity once the connection is built. Experimentalresults from simulation show the efficiency and effectivenessof our decentralized platoon maintenance method.
分布式车辆排网络车辆动力学中的快速自主排维护
组队系统作为一种自适应巡航控制系统,将在提高出行体验和道路安全方面发挥重要作用。车队系统的稳定性也至关重要,因为每辆车都与前面的车辆保持安全距离,并能采取必要的行动避免碰撞。然而,现有的集中排式维护方式无法满足这一要求。建议采用去中心化的队列维修方法,每辆车与相邻车辆通信,自行确定自己的速度。然而,车辆需要知道与前车的距离来确定其速度,这在车辆动力学(即节点连接和离开)导致的车辆通信中断中是不可用的。因此,一个艰巨的挑战是:如何在无法获得距离信息的情况下快速恢复车辆动态排?为了应对这一挑战,我们首先对后续车辆的速度进行分析,以最大限度地减少与前车恢复连接孔的时间,并发现无论其当前速度和距离如何,开始时的剖面几乎是相同的。因此,我们设计了一种策略,其中后继车辆在与前一车辆断开连接时使用其存储的公共速度曲线,然后在连接建立后调整其速度。仿真实验结果表明了分散排维护方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信