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Lane scheduling around crossroads for edge computing based autonomous driving
Xia, Changqing1,2,3; Jin, Xi1,2,3; Kong, Linghe1,4; Xu, Chi1,2,3; Zeng, Peng1,2,3
Corresponding AuthorXia, Changqing(xiachangqing@sia.cn)
2019-05-01
Source PublicationJOURNAL OF SYSTEMS ARCHITECTURE
ISSN1383-7621
Volume95Pages:1-8
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.
KeywordEdge computing Autonomous driving Scheduling IoT Crossroads
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
DOI10.1016/j.sysarc.2019.02.017
Indexed BySCI
Language英语
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
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS IDWOS:000466059100001
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/133335
Collection中国科学院金属研究所
Corresponding AuthorXia, Changqing
Affiliation1.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China
2.Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang, Liaoning, Peoples R China
3.Chinese Acad Sci, Shenyang Inst Automat, Key Lab Networked Control Syst, Shenyang, Liaoning, Peoples R China
4.Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China
Recommended Citation
GB/T 7714
Xia, Changqing,Jin, Xi,Kong, Linghe,et al. Lane scheduling around crossroads for edge computing based autonomous driving[J]. JOURNAL OF SYSTEMS ARCHITECTURE,2019,95:1-8.
APA Xia, Changqing,Jin, Xi,Kong, Linghe,Xu, Chi,&Zeng, Peng.(2019).Lane scheduling around crossroads for edge computing based autonomous driving.JOURNAL OF SYSTEMS ARCHITECTURE,95,1-8.
MLA Xia, Changqing,et al."Lane scheduling around crossroads for edge computing based autonomous driving".JOURNAL OF SYSTEMS ARCHITECTURE 95(2019):1-8.
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