Lane scheduling around crossroads for edge computing based autonomous driving

doi:10.1016/j.sysarc.2019.02.017

IMR OpenIR

	Lane scheduling around crossroads for edge computing based autonomous driving
	Xia, Changqing 1,2,3; Jin, Xi 1,2,3; Kong, Linghe 1,4; Xu, Chi 1,2,3; Zeng, Peng 1,2,3
通讯作者	Xia, Changqing(xiachangqing@sia.cn)
	2019-05-01
发表期刊	JOURNAL OF SYSTEMS ARCHITECTURE
ISSN	1383-7621
卷号	95 页码:1-8
摘要	Autonomous 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.
关键词	Edge computing Autonomous driving Scheduling IoT Crossroads
资助者	Liaoning Provincial Natural Science Fund Project ; National Natural Science Foundation of China ; independent subject of State Key Laboratory of Robotics ; Youth Innovation Promotion Association CAS
DOI	10.1016/j.sysarc.2019.02.017
收录类别	SCI
语种	英语
资助项目	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
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000466059100001
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/133335
专题	中国科学院金属研究所
通讯作者	Xia, Changqing
作者单位	1.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
推荐引用方式 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.