Social media based transportation research: the state of the work and the networking
Lv, Yisheng1; Chen, Yuanyuan1; Zhang, Xiqiao2; Duan, Yanjie1; Li, Naiqiang3
Source PublicationIEEE/CAA Journal of Automatica Sinica
2017
Volume4Issue:1Pages:19-26
AbstractRecently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis methods.We summarize main research topics in this field, and report collaboration patterns at levels of researchers, institutions, and countries, respectively. Finally, some future research directions are identified.
KeywordSocial Media Transportation Traffic Information Social Transportation Traffic Prediction Traffic Event Detection
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20167
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.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.Harbin Institute of Technology
3.Qingdao Academy of Intelligent Industries
Recommended Citation
GB/T 7714
Lv, Yisheng,Chen, Yuanyuan,Zhang, Xiqiao,et al. Social media based transportation research: the state of the work and the networking[J]. IEEE/CAA Journal of Automatica Sinica,2017,4(1):19-26.
APA Lv, Yisheng,Chen, Yuanyuan,Zhang, Xiqiao,Duan, Yanjie,&Li, Naiqiang.(2017).Social media based transportation research: the state of the work and the networking.IEEE/CAA Journal of Automatica Sinica,4(1),19-26.
MLA Lv, Yisheng,et al."Social media based transportation research: the state of the work and the networking".IEEE/CAA Journal of Automatica Sinica 4.1(2017):19-26.
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