Generative Adversarial Networks for Parallel Transportation Systems
Lv, Yisheng1,2; Chen, Yuanyuan3; Li, Li4; Wang, Fei-Yue1
Source PublicationIEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
2018-09-01
Volume10Issue:3Pages:4-10
SubtypeArticle
AbstractGenerative Adversarial Networks (GANs) have emerged as a promising and effective mechanism for machine learning due to its recent successful applications. GANs share the same idea of producing, testing, acquiring, and utilizing data as well as knowledge based on artificial systems, computational experiments, and parallel execution of actual and virtual scenarios, as outlined in the theory of parallel transportation. Clearly, the adversarial concept is embedded implicitly or explicitly in both GANs and parallel transportation systems. In this article, we first introduce basics of GANs and parallel transportation systems, and then present an approach of using GANs in parallel transportation systems for traffic data generation, traffic modeling, traffic prediction and traffic control. Our preliminary investigation indicates that GANs have a great potential and provide specific algorithm support for implement n.g parallel transportation systems.
KeywordGenerative Adversarial Networks Parallel Transportation Systems Acp Deep Learnin Parallel Learning Parallel Intelligence
WOS HeadingsScience & Technology ; Technology
DOI10.1109/MITS.2018.2842249
WOS KeywordPREDICTION
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000440001900003
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20178
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Qingdao Acad Intelligent Ind, Qingdao, Peoples R China
3.Univ Chinese Acad Sci, Control Theory & Control Engn, Beijing, Peoples R China
4.Tsinghua Univ, Dept Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Lv, Yisheng,Chen, Yuanyuan,Li, Li,et al. Generative Adversarial Networks for Parallel Transportation Systems[J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,2018,10(3):4-10.
APA Lv, Yisheng,Chen, Yuanyuan,Li, Li,&Wang, Fei-Yue.(2018).Generative Adversarial Networks for Parallel Transportation Systems.IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,10(3),4-10.
MLA Lv, Yisheng,et al."Generative Adversarial Networks for Parallel Transportation Systems".IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE 10.3(2018):4-10.
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