中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Framework for fusing traffic information from social and physical transportation data

文献类型:期刊论文

作者Lv, Yisheng; Zheng, Zhihao; Wang, Chengcheng; Wang, Pu; Xiong, Yusha; Zhang, Fan
刊名PLOS ONE
出版日期2018
文献子类期刊论文
英文摘要Tremendous volumes of messages on social media platforms provide supplementary traffic information and encapsulate crowd wisdom for solving transportation problems. However, social media messages manifested in human languages are usually characterized with redundant, fuzzy and subjective features. Here, we develop a data fusion framework to identify social media messages reporting non-recurring traffic events by connecting the traffic events with traffic states inferred from taxi global positioning system (GPS) data. Temporal-patial information of traffic anomalies caused by the traffic events are then retrieved from anomalous traffic states. The proposed framework successfully identified accidental traffic events with various scales and exhibited strong performance in event descriptions. Even though social media messages are generally posted after the occurrence of anomalous traffic states, resourceful event descriptions in the messages are helpful in explaining traffic anomalies and for deploying suitable countermeasures.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14865]  
专题深圳先进技术研究院_其他
推荐引用方式
GB/T 7714
Lv, Yisheng,Zheng, Zhihao,Wang, Chengcheng,et al. Framework for fusing traffic information from social and physical transportation data[J]. PLOS ONE,2018.
APA Lv, Yisheng,Zheng, Zhihao,Wang, Chengcheng,Wang, Pu,Xiong, Yusha,&Zhang, Fan.(2018).Framework for fusing traffic information from social and physical transportation data.PLOS ONE.
MLA Lv, Yisheng,et al."Framework for fusing traffic information from social and physical transportation data".PLOS ONE (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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