| 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 Author | Xia, Changqing(xiachangqing@sia.cn) |
| 2019-05-01 | |
| Source Publication | JOURNAL OF SYSTEMS ARCHITECTURE
 |
| ISSN | 1383-7621 |
| Volume | 95Pages:1-8 |
| Abstract | 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. |
| Keyword | Edge computing Autonomous driving Scheduling IoT Crossroads |
| Funding Organization | 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 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Computer Science |
| WOS Subject | Computer Science, Hardware & Architecture ; Computer Science, Software Engineering |
| WOS ID | WOS:000466059100001 |
| Publisher | ELSEVIER SCIENCE BV |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/133335 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Xia, Changqing |
| Affiliation | 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 |
| 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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