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Volume 4 Issue 1
Jan.  2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2017  >  4(1): 19-26
Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan and Naiqiang Li, "Social Media Based Transportation Research: the State of the Work and the Networking," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 19-26, Jan. 2017.
Citation: Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan and Naiqiang Li, "Social Media Based Transportation Research: the State of the Work and the Networking," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 19-26, Jan. 2017.
shu

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

  • 1.

    Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    Qingdao Academy of Intelligent Industries, Qingdao 266109, China

  • 3.

    Department of Transportation Engineering, School of Transportation Science and Technology, Harbin Institute of Technology, Harbin 150090, China

Funds:

This work was partially supported by National Natural Science Foundation of China 61533019

This work was partially supported by National Natural Science Foundation of China 71232006

This work was partially supported by National Natural Science Foundation of China 61233001

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    Abstract
  • 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.

     

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