Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence

被引:54
作者
Fei-Yue Wang [1 ,2 ,3 ]
Nan-Ning Zheng [1 ,4 ]
Dongpu Cao [1 ,5 ]
Clara Marina Martinez [5 ]
Li Li [1 ,6 ]
Teng Liu [7 ,8 ]
机构
[1] IEEE
[2] State Key Laboratory of Management and Control for Complex Systems.Institute of Automation, Chinese Academy of Sciences
[3] Research Center for Military Computational Experiments and Parallel Systems Technology, National University of Defense Technology
[4] Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
[5] Advanced Vehicle Engineering Center, Cranfield University
[6] Department of Automation, Tsinghua University
[7] State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
[8] Qingdao Huituo Intelligent Machine Company
关键词
ACP theory; connected automated driving; cyber-physical-social systems(CPSS); iHorizon; parallel driving; parallel horizon; parallel learning; parallel reinforcement learning; parallel testing;
D O I
暂无
中图分类号
U463.6 [电气设备及附件]; U495 [电子计算机在公路运输和公路工程中的应用];
学科分类号
080204 ; 082304 ; 0838 ;
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(CPSS) 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(iHorizon)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.
引用
收藏
页码:577 / 587
页数:11
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