Framework for fusing traffic information from social and physical transportation data
文献类型：期刊论文
| 作者 | Zheng, Zhihao1; Wang, Chengcheng1; Wang, Pu1; Xiong, Yusha1; Zhang, Fan2 ; Lv, Yisheng3
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| 刊名 | PLOS ONE
 |
| 出版日期 | 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) |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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