Framework for fusing traffic information from social and physical transportation data

doi:10.1371/journal.pone.0201531

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Framework for fusing traffic information from social and physical transportation data
	Zheng, Zhihao 1; Wang, Chengcheng 1; Wang, Pu 1; Xiong, Yusha 1; Zhang, Fan 2; Lv, Yisheng3
刊名	PLOS ONE
	2018-08-02
卷号	13 期号:8
DOI	10.1371/journal.pone.0201531
文献子类	Article
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.
WOS关键词	TAXI GPS TRACES ; MEDIA DATA ; BIG-DATA ; UTILITY-MAXIMIZATION ; TRAVEL BEHAVIOR ; TIME ; RELIABILITY ; CHALLENGES ; NETWORK ; TWITTER
WOS研究方向	Science & Technology - Other Topics
语种	英语
WOS记录号	WOS:000440778600053
资助机构	National Natural Science Foundation of China(61473320) ; Fok Ying Tong Education Foundation(141075) ; Project of Innovation-driven Plan in Central South University(2016CSX014)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/21846]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
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
推荐引用方式 GB/T 7714	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).