|Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence|
|Fei-Yue Wang; Nan-Ning Zheng; Dongpu Cao; Clara Marina Martinez; Li Li; Teng Liu
|Abstract||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.|
Learning (Artificial Intelligence)
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.
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.
Fei-Yue Wang,et al."Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence".IEEE 4.4(2017):577-587.
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