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

Yisheng Lv Yuanyuan Chen Xiqiao Zhang Yanjie Duan Naiqiang Li

自动化学报（英文版）2017，Vol.4Issue(1)：19-26,8.

自动化学报（英文版）2017，Vol.4Issue(1)：19-26,8.DOI:10.1109/JAS.2017.7510316

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

Yisheng Lv ¹Yuanyuan Chen ²Xiqiao Zhang ¹Yanjie Duan ²Naiqiang Li³

作者信息

1. the State 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. the Department of Transportation Engineering, School of Transportation Science and Technology, Harbin Institute of Technology,Harbin 150090, China
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摘要

关键词

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

Key words

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

引用本文复制引用

Yisheng Lv,Yuanyuan Chen,Xiqiao Zhang,Yanjie Duan,Naiqiang Li..Social Media Based Transportation Research: the State of the Work and the Networking[J].自动化学报（英文版）,2017,4(1):19-26,8.

基金项目

This work was partially supported by National Natural Science Foundation of China (61533019,71232006,61233001) and the Early Career Development Award of SKLMCCS. （61533019,71232006,61233001）

自动化学报（英文版）

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ISSN：2329-9266

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