Knowledge Commons of Institute of Automation,CAS
Parallel distance: A new paradigm of measurement for parallel driving | |
Liu, Teng1,2; Wang, Hong3; Tian, Bin1,4; Ai, Yunfeng1,5; Chen, Long6 | |
发表期刊 | IEEE-CAA JOURNAL OF AUTOMATICA SINICA |
ISSN | 2329-9266 |
2020-07 | |
卷号 | 7期号:4页码:1169-1178 |
摘要 | In this paper, a new paradigm named parallel distance is presented to measure the data information in parallel driving system. As an example, the core variables in the parallel driving system are measured and evaluated in the parallel distance framework. First, the parallel driving 3.0 system included control and management platform, intelligent vehicle platform and remote-control platform is introduced. Then, Markov chain (MC) is utilized to model the transition probability matrix of control commands in these systems. Furthermore, to distinguish the control variables in artificial and physical driving conditions, different distance calculation methods are enumerated to specify the differences between the virtual and real signals. By doing this, the real system can be guided and the virtual system can be im-proved. Finally, simulation results exhibit the merits and multiple applications of the proposed parallel distance framework. |
关键词 | Artificial and physical system parallel distance parallel driving 3.0 parallel system rotational and accelerator signal |
DOI | 10.1109/JAS.2019.1911633 |
关键词[WOS] | ENERGY MANAGEMENT ; VEHICLE |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; Beijing Municipal Science and Technology Commission[Z181100008918007] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) |
项目资助者 | National Natural Science Foundation of China ; Beijing Municipal Science and Technology Commission ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) |
WOS研究方向 | Automation & Control Systems |
WOS类目 | Automation & Control Systems |
WOS记录号 | WOS:000545416200024 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 人工智能+交通 |
国重实验室规划方向分类 | 复杂系统建模与推演 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40029 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Tian, Bin |
作者单位 | 1.Vehicle Intelligence Pioneers Inc, Qingdao 266109, Peoples R China 2.Chongqing Univ, Dept Automot Engn, Chongqing 400044, Peoples R China 3.Waterloo Univ, Mech & Mechatron Engn Dept, Waterloo, ON N2L 3G1, Canada 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R China |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Liu, Teng,Wang, Hong,Tian, Bin,et al. Parallel distance: A new paradigm of measurement for parallel driving[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2020,7(4):1169-1178. |
APA | Liu, Teng,Wang, Hong,Tian, Bin,Ai, Yunfeng,&Chen, Long.(2020).Parallel distance: A new paradigm of measurement for parallel driving.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,7(4),1169-1178. |
MLA | Liu, Teng,et al."Parallel distance: A new paradigm of measurement for parallel driving".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 7.4(2020):1169-1178. |
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