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

doi:10.1109/JAS.2017.7510598

Volume 4 Issue 4

Oct. 2017

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(4): 577-587

Fei-Yue Wang, Nan-Ning Zheng, Dongpu Cao, Clara Marina Martinez, Li Li and Teng Liu, "Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 577-587, Oct. 2017. doi: 10.1109/JAS.2017.7510598

Citation:

Fei-Yue Wang, Nan-Ning Zheng, Dongpu Cao, Clara Marina Martinez, Li Li and Teng Liu, "Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 577-587, Oct. 2017. doi: 10.1109/JAS.2017.7510598

Citation:

Fei-Yue Wang, Nan-Ning Zheng, Dongpu Cao, Clara Marina Martinez, Li Li and Teng Liu, "Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 577-587, Oct. 2017. doi: 10.1109/JAS.2017.7510598

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

doi: 10.1109/JAS.2017.7510598

Fei-Yue Wang^{1, 2
,},
Nan-Ning Zheng^3
,,
Dongpu Cao^{4
,
,},
Clara Marina Martinez⁴,
Li Li⁵,
Teng Liu^{6, 7}

1.
State Key Laboratory of Management and Control for Complex Systems. Institute of Automation, Chinese Academy of Sciences, China
2.
Research Center for Military Computational Experiments and Parallel Systems Technology, National University of Defense Technology, Changsha 410073, China
3.
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China
4.
Advanced Vehicle Engineering Center, Cranfield University, Cranfield, MK43 0AL, UK
5.
Department of Automation, Tsinghua University, Beijing 100084, China
6.
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
7.
Qingdao Huituo Intelligent Machine Company, Qingdao, China

More Information

Author Bio:
Fei-Yue Wang (S'87-M'89-SM'94-F'03) received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Overseas Chinese Talents Program from the State Planning Council and "100 Talent Program" from CAS, and in 2002, was appointed as the Director of the Key Lab of Complex Systems and Intelligence Science, CAS. From 2006 to 2010, he was Vice President for Research, Education, and Academic Exchanges at the Institute of Automation, CAS. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory of Management and Control for Complex Systems.
Dr. Wang's research focuses on methods and applications for parallel systems, social computing, and knowledge automation. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems (1995-2000), Founding EiC of IEEE ITS Magazine (2006-2007), EiC of IEEE Intelligent Systems (2009-2012), and EiC of IEEE Transactions on ITS (2009-2016). Currently he is EiC of IEEE Transactions on Computational Social Systems, Founding EiC of IEEE/CAA Journal of Automatica Sinica, and Chinese Journal of Command and Control. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, and ASME conferences. He was the President of IEEE ITS Society (2005-2007), Chinese Association for Science and Technology (CAST, USA) in 2005, the American Zhu Kezhen Education Foundation (2007-2008), and the Vice President of the ACM China Council (2010-2011). Since 2008, he has been the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang has been elected as Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and was awarded the Outstanding Scientist by ACM for his research contributions in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009, 2011 and 2015, and IEEE SMC Norbert Wiener Award in 2014. (e-mail: feiyue.wang@ia.ac.cn)

Nan-Ning Zheng (SM'93-F'06) graduated from the Department of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China, in 1975, and received the M.S. degree in information and control engineering from Xi'an Jiaotong University in 1981, and the Ph.D. degree in electrical engineering from Keio University, Yokohama, Japan, in 1985. He joined Xi'an Jiaotong University in 1975, and he is currently a Professor and the Director of the Institute of Artificial Intelligence and Robotics. His research interests include computer vision, pattern recognition and image processing, and hardware implementation of intelligent systems. Prof. Zheng became a member of the Chinese Academy of Engineering in 1999, and he is the Chinese Representative on the Governing Board of the International Association for Pattern Recognition. He also serves as the President of Chinese Association of Automation. (e-mail: nnzheng@mail.xjtu.edu.cn)

Dongpu Cao received the Ph.D. degree from Concordia University, Canada, in 2008. He is currently a Senior Lecturer at the Advanced Vehicle Engineering Center, Cranfield University, UK. His research focuses on vehicle dynamics/control and intelligence, automated driving and parallel driving, where he has contributed more than 120 publications and 1 US patent. He received the ASME AVTT'2010 Best Paper Award and 2012 SAE Arch T. Colwell Merit Award. Dr. Cao serves as an Associate Editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology and IEEE Transactions on Industrial Electronics. He has been a Guest Editor for Vehicle System Dynamics, IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Human-Machine Systems. He has been serving on the SAE International Vehicle Dynamics Standards Committee and a few ASME, SAE, IEEE technical committees. (e-mail: d.cao@cranfield.ac.uk)

Clara Marina Martinez received her Ph.D. degree at Advance Vehicle Engineering Centre, Cranfield University, UK, in 2017. She obtained the 5-years degree in Industrial Engineering from Seville University, Spain, and the MSc degree in automotive mechatronics from Cranfield University in 2014. She will be joining Porsche Engineering R & D Center, Germany, in Nov. 2017. Her current research focuses on intelligent control for electrified vehicles, driving style recognition, future speed prediction, and machine learning. She has published over 10 papers. (e-mail: c.m.marina@cranfield.ac.uk)

Li Li (S'05-M'06-SM'10-F'16) is currently an Associate Professor with the Department of Automation, Tsinghua University, Beijing, China, working in the fields of complex and networked systems, intelligent control and sensing, intelligent transportation systems, and intelligent vehicles. Dr. Li had published more than 50 SCI indexed international journal papers and more than 50 international conference papers as a first/corresponding author. He serves as an Associate Editor of IEEE Transactions on Intelligent Transportation Systems. (e-mail: forcelee@gmail.com)

Teng Liu received the B.S. degree in mathematics from Beijing Institute of Technology, Beijing, China, 2011. He received his Ph.D. degree in the vehicle engineering from Beijing Institute of Technology (BIT), Beijing, in 2017. Dr. Liu is now a postdoctoral research fellow at the Institute of Automation, Chinese Academy of Sciences, China. His current research focuses on parallel driving, parallel reinforcement learning, automated driving, and energy management of electrified vehicles. He has published over 20 papers in these areas. (e-mail: tengliu17@gmail.com)
Corresponding author: Dongpu Cao, e-mail:d.cao@cranfield.ac.uk
Recommended by Associate Editor Mengchu Zhou
Received Date: 2017-03-18
Accepted Date: 2017-05-21

Abstract

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 (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.
- ACP theory,
- connected automated driving,
- cyber-physical-social systems (CPSS),
- iHorizon,
- parallel driving,
- parallel horizon,
- parallel learning,
- parallel reinforcement learning,
- parallel testing

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Recommended by Associate Editor Mengchu Zhou

References(67)

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沈阳化工大学材料科学与工程学院沈阳 110142

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

doi: 10.1109/JAS.2017.7510598

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