中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence

文献类型:期刊论文

作者Fei-Yue Wang; Nan-Ning Zheng; Dongpu Cao; Clara Marina Martinez; Li Li; Teng Liu
刊名IEEE
出版日期2017
卷号4期号:4页码:577-587
关键词Automation Vehicles Testing Trajectory Learning (Artificial Intelligence) Road Transportation
英文摘要The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems U+0028 CPSS U+0029 framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space, considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon U+0028 iHorizon U+0028 and its applications are also presented towards parallel horizon. The proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.
源URL[http://ir.ia.ac.cn/handle/173211/20265]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
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GB/T 7714
Fei-Yue Wang,Nan-Ning Zheng,Dongpu Cao,et al. Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence[J]. IEEE,2017,4(4):577-587.
APA Fei-Yue Wang,Nan-Ning Zheng,Dongpu Cao,Clara Marina Martinez,Li Li,&Teng Liu.(2017).Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence.IEEE,4(4),577-587.
MLA Fei-Yue Wang,et al."Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence".IEEE 4.4(2017):577-587.

入库方式: OAI收割

来源:自动化研究所

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