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	Parallel Distance: A New Paradigm of Measurement for Parallel Driving
	Teng Liu; Hong Wang; Bin Tian; Yunfeng Ai; Long Chen
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7期号:4页码:1169-1178
关键词	Artificial and physical system parallel distance para-llel driving 3.0 parallel system rotational and accelerator signal
ISSN号	2329-9266
DOI	10.1109/JAS.2019.1911633
英文摘要	In this paper, a new paradigm named parallel dis-tance 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.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43022]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Teng Liu,Hong Wang,Bin Tian,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	Teng Liu,Hong Wang,Bin Tian,Yunfeng Ai,&Long Chen.(2020).Parallel Distance: A New Paradigm of Measurement for Parallel Driving.IEEE/CAA Journal of Automatica Sinica,7(4),1169-1178.
MLA	Teng Liu,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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