Framework for fusing traffic information from social and physical transportation data
Zheng, Zhihao1; Wang, Chengcheng1; Wang, Pu1; Xiong, Yusha1; Zhang, Fan2; Lv, Yisheng3
Source PublicationPLOS ONE
2018-08-02
Volume13Issue:8
SubtypeArticle
AbstractTremendous 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 HeadingsScience & Technology
DOI10.1371/journal.pone.0201531
WOS KeywordTAXI GPS TRACES ; MEDIA DATA ; BIG-DATA ; UTILITY-MAXIMIZATION ; TRAVEL BEHAVIOR ; TIME ; RELIABILITY ; CHALLENGES ; NETWORK ; TWITTER
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61473320) ; Fok Ying Tong Education Foundation(141075) ; Project of Innovation-driven Plan in Central South University(2016CSX014)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000440778600053
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21846
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.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
Recommended Citation
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).
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