Framework for fusing traffic information from social and physical transportation data
Zheng, Zhihao1; Wang, Chengcheng1; Wang, Pu1; Xiong, Yusha1; Zhang, Fan2; Lv, Yisheng3
2018-08-02
发表期刊PLOS ONE
卷号13期号:8
文章类型Article
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.
WOS标题词Science & Technology
DOI10.1371/journal.pone.0201531
关键词[WOS]TAXI GPS TRACES ; MEDIA DATA ; BIG-DATA ; UTILITY-MAXIMIZATION ; TRAVEL BEHAVIOR ; TIME ; RELIABILITY ; CHALLENGES ; NETWORK ; TWITTER
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61473320) ; Fok Ying Tong Education Foundation(141075) ; Project of Innovation-driven Plan in Central South University(2016CSX014)
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000440778600053
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21846
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
作者单位1.Cent S Univ, Sch Traff & Transportat Engn, Changsha, Hunan, Peoples R China
2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Guangdong, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing, Peoples R China
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Zheng, Zhihao,Wang, Chengcheng,Wang, Pu,et al. Framework for fusing traffic information from social and physical transportation data[J]. PLOS ONE,2018,13(8).
APA Zheng, Zhihao,Wang, Chengcheng,Wang, Pu,Xiong, Yusha,Zhang, Fan,&Lv, Yisheng.(2018).Framework for fusing traffic information from social and physical transportation data.PLOS ONE,13(8).
MLA Zheng, Zhihao,et al."Framework for fusing traffic information from social and physical transportation data".PLOS ONE 13.8(2018).
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