Big Data for Social Transportation
文献类型：期刊论文
| 作者 | Zheng, Xinhu1; Chen, Wei2; Wang, Pu3; Shen, Dayong4; Chen, Songhang5 ; Wang, Xiao5; Zhang, Qingpeng6; Yang, Liuqing7
|
| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| 出版日期 | 2016-03-01 |
| 卷号 | 17期号:3页码:620-630 |
| 关键词 | Big data social transportation intelligent transportation system data analytics crowdsourcing |
| 英文摘要 | Big data for social transportation brings us unprecedented opportunities for resolving transportation problems for which traditional approaches are not competent and for building the next-generation intelligent transportation systems. Although social data have been applied for transportation analysis, there are still many challenges. First, social data evolve with time and contain abundant information, posing a crucial need for data collection and cleaning. Meanwhile, each type of data has specific advantages and limitations for social transportation, and one data type alone is not capable of describing the overall state of a transportation system. Systematic data fusing approaches or frameworks for combining social signal data with different features, structures, resolutions, and precision are needed. Second, data processing and mining techniques, such as natural language processing and analysis of streaming data, require further revolutions in effective utilization of real-time traffic information. Third, social data are connected to cyber and physical spaces. To address practical problems in social transportation, a suite of schemes are demanded for realizing big data in social transportation systems, such as crowdsourcing, visual analysis, and task-based services. In this paper, we overview data sources, analytical approaches, and application systems for social transportation, and we also suggest a few future research directions for this new social transportation field. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
| 研究领域[WOS] | Engineering ; Transportation |
| 关键词[WOS] | HUMAN MOBILITY ; SYSTEMS ; ISSUE ; NETWORKS ; PATTERNS ; EXPLORATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000371982600002 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11374]  |
| 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.Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA 2.Zhejiang Univ, State Key Lab Comp Aided Design & Comp Graph, Hangzhou 310058, Zhejiang, Peoples R China 3.Cent S Univ, Sch Traff & Transportat Engn, Changsha 400083, Hunan, Peoples R China 4.Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 6.City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R China 7.Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80525 USA |
| 推荐引用方式 GB/T 7714 | Zheng, Xinhu,Chen, Wei,Wang, Pu,et al. Big Data for Social Transportation[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2016,17(3):620-630. |
| APA | Zheng, Xinhu.,Chen, Wei.,Wang, Pu.,Shen, Dayong.,Chen, Songhang.,...&Yang, Liuqing.(2016).Big Data for Social Transportation.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,17(3),620-630. |
| MLA | Zheng, Xinhu,et al."Big Data for Social Transportation".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 17.3(2016):620-630. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。