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Lane scheduling around crossroads for edge computing based autonomous driving
Xia CQ(夏长清)1,2,3; Jin X(金曦)1,2,3; Kong LH(孔令和)1,4; Xu C(许驰)1,2,3; Zeng P(曾鹏)1,2,3
Department工业控制网络与系统研究室
Source PublicationJournal of Systems Architecture
ISSN1383-7621
2019
Volume95Pages:1-8
Indexed BySCI ; EI
EI Accession number20190806539160
WOS IDWOS:000466059100001
Contribution Rank1
Funding OrganizationLiaoning Provincial Natural Science Fund Project ; National Natural Science Foundation of China ; independent subject of State Key Laboratory of Robotics ; Youth Innovation Promotion Association CAS
KeywordEdge computing Autonomous driving Scheduling IoT Crossroads
AbstractAutonomous driving, which can free our hands and feet, is of increasing importance in our daily lives. However, the capacity of onboard computation and communication limits the rapid development of autonomous driving. To address this issue, this paper proposes a novel model named the edge computing-based lanes scheduling system (ECLSS) to study lane scheduling for each vehicle around crossroads with real-time edge devices. There are several edge computing devices (ECD) deployed around crossroads in ECLSS that can collect information from vehicles and road conditions with short-range wired/wireless transmissions. Based on the strong computing power of ECDs and their real-time transmission performance, we propose two centralized management lane scheduling methods: the searching for efficient switching algorithm (SESA) and special vehicles lane switching algorithm (SVLSA). These edge computing-based autonomous driving methods aim to achieve high speed passing through crossroads and guarantee that special vehicles can pass through crossroads within a certain time. Extensive simulations are conducted, and the simulation results demonstrate the superiority of the proposed approaches over competing schemes in typical lane switching scenarios.
Language英语
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS KeywordINTERNET
WOS Research AreaComputer Science
Funding ProjectLiaoning Provincial Natural Science Fund Project[20180520029] ; Liaoning Provincial Natural Science Fund Project[20180540114] ; National Natural Science Foundation of China[61502474] ; National Natural Science Foundation of China[61803368] ; National Natural Science Foundation of China[61533015] ; independent subject of State Key Laboratory of Robotics ; Youth Innovation Promotion Association CAS ; Liaoning Provincial Natural Science Fund Project[20180520029] ; Liaoning Provincial Natural Science Fund Project[20180540114] ; National Natural Science Foundation of China[61502474] ; National Natural Science Foundation of China[61803368] ; National Natural Science Foundation of China[61533015] ; independent subject of State Key Laboratory of Robotics ; Youth Innovation Promotion Association CAS
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24244
Collection工业控制网络与系统研究室
Corresponding AuthorXia CQ(夏长清)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences Shenyang, China
3.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
4.Shanghai Jiao Tong University, Shanghai, China
Recommended Citation
GB/T 7714
Xia CQ,Jin X,Kong LH,et al. Lane scheduling around crossroads for edge computing based autonomous driving[J]. Journal of Systems Architecture,2019,95:1-8.
APA Xia CQ,Jin X,Kong LH,Xu C,&Zeng P.(2019).Lane scheduling around crossroads for edge computing based autonomous driving.Journal of Systems Architecture,95,1-8.
MLA Xia CQ,et al."Lane scheduling around crossroads for edge computing based autonomous driving".Journal of Systems Architecture 95(2019):1-8.
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