中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 先进控制与自动化团队
Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting

文献类型：期刊论文

作者Chen, Cheng1; Liu, Zhong2; Lin, Wei-Hua3; Li, Shuangshuang1; Wang, Kai1,4
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2013-03-01
卷号14期号:1页码:22-33
关键词Distributed modeling MapReduce model fusion traffic flow forecasting
英文摘要With the availability of increasingly more new data sources collected for transportation in recent years, the computational effort for traffic flow forecasting in standalone modes has become increasingly demanding for large-scale networks. Distributed modeling strategies can be utilized to reduce the computational effort. In this paper, we present a MapReduce-based approach to processing distributed data to design a MapReduce framework of a traffic forecasting system, including its system architecture and data-processing algorithms. The work presented here can be applied to many traffic forecasting systems with models requiring a learning process (e. g., the neural network approach). We show that the learning process of the forecasting model under our framework can be accelerated from a computational perspective. Meanwhile, model fusion, which is the key problem of distributed modeling, is explicitly treated in this paper to enhance the capability of the forecasting system in data processing and storage.
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]TRANSPORTATION SYSTEMS ; PREDICTION
收录类别SCI
语种英语
WOS记录号WOS:000319828100003
源URL[http://ir.ia.ac.cn/handle/173211/3646]  
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.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Natl Univ Def Technol, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China
3.Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA
4.Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Cheng,Liu, Zhong,Lin, Wei-Hua,et al. Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2013,14(1):22-33.
APA Chen, Cheng,Liu, Zhong,Lin, Wei-Hua,Li, Shuangshuang,&Wang, Kai.(2013).Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,14(1),22-33.
MLA Chen, Cheng,et al."Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 14.1(2013):22-33.

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。