Social Media Based Transportation Research: the State of the Work and the Networking

被引：9

作者：

Yisheng Lv ^{[1
,2
]}

Yuanyuan Chen ^{[1
,2
]}

Xiqiao Zhang ^{[3
]}

Yanjie Duan ^{[1
,2
]}

Naiqiang Li ^{[2
]}

机构：

[1] State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

[2] Qingdao Academy of Intelligent Industries

[3] Department of Transportation Engineering, School of Transportation Science and Technology, Harbin Institute of Technology

来源：

IEEE/CAA Journal of Automatica Sinica | 2017年 / 4卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Social media; transportation; traffic information; social transportation; traffic prediction; traffic event detection;

D O I：

暂无

中图分类号：

G206 [传播理论]; TP393.09 [];

学科分类号：

050302 ; 080402 ;

摘要：

Recently, 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.

引用

页码：19 / 26

页数：8

共 6 条

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