Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV | |
Han, Shuangshuang1,2,3; Wang, Xiao1,2,3; Zhang, Jun Jason4; Cao, Dongpu5; Wang, Fei-Yue1,6 | |
刊名 | IEEE INTERNET OF THINGS JOURNAL |
2019-02-01 | |
卷号 | 6期号:1页码:1079-1089 |
关键词 | Cyber-social-physical system (CPSS) Internet of Vehicles (IoV) parallel system social networks |
ISSN号 | 2327-4662 |
DOI | 10.1109/JIOT.2018.2867039 |
英文摘要 | Vehicular networks (VNs) have received great attention as one of the crucial supportive techniques for intelligent transportation systems (ITSs). However, the introduction of dynamic and complex human behaviors into VNs makes it a cyber-social-physical system. Thus, artificial systems, computational experiments, parallel executions-based parallel VNs (PVN) are proposed in this paper. The framework of PVN is then designed and presented, its characteristics and applications are demonstrated, and its related research challenges are discussed. PVN uses software-defined artificial VNs for modeling and representation, computational experiments for analysis and evaluation, and parallel execution for control and management. Thus, more reliable and efficient traffic status and ultrahigh data rate communications are obtained among vehicles and infrastructures, which is expected to achieve the descriptive intelligence, predictive intelligence, and prescription intelligence for VNs. The proposed PVN offers a competitive solution for achieving a smooth, safe, and efficient cooperation among connected vehicles in future ITSs. |
资助项目 | National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; Beijing Municipal Science and Technology Commission[Z181100008918007] ; National Natural Science Foundation of China[61501461] ; National Natural Science Foundation of China[61702519] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles ; SKLMCCS[Y6S9011F69] |
WOS关键词 | SOCIAL INTERNET ; VEHICLES ; DISSEMINATION ; CHALLENGES ; MANAGEMENT |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000459709500091 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/25012] |
专题 | 中国科学院自动化研究所 |
通讯作者 | Wang, Fei-Yue |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Qingdao Acad Intelligent Ind, Qingdao 266000, Shandong, Peoples R China 3.Vehicle Intelligence Pioneers Inc, Qingdao 266000, Peoples R China 4.Univ Denver, Dept Elect & Comp Engn, Ritchie Sch Engn & Comp Sci, Denver, CO 80210 USA 5.Univ Waterloo, Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada 6.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst Technol, Changsha 410073, Hunan, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Shuangshuang,Wang, Xiao,Zhang, Jun Jason,et al. Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV[J]. IEEE INTERNET OF THINGS JOURNAL,2019,6(1):1079-1089. |
APA | Han, Shuangshuang,Wang, Xiao,Zhang, Jun Jason,Cao, Dongpu,&Wang, Fei-Yue.(2019).Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV.IEEE INTERNET OF THINGS JOURNAL,6(1),1079-1089. |
MLA | Han, Shuangshuang,et al."Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV".IEEE INTERNET OF THINGS JOURNAL 6.1(2019):1079-1089. |
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