CASIA OpenIR
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
Source PublicationIEEE INTERNET OF THINGS JOURNAL
ISSN2327-4662
2019-02-01
Volume6Issue:1Pages:1079-1089
Abstract

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.

KeywordCyber-social-physical system (CPSS) Internet of Vehicles (IoV) parallel system social networks
DOI10.1109/JIOT.2018.2867039
WOS KeywordSOCIAL INTERNET ; VEHICLES ; DISSEMINATION ; CHALLENGES ; MANAGEMENT
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000459709500091
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/25013
Collection中国科学院自动化研究所
Corresponding AuthorWang, Fei-Yue
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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