Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting
	Chen, Cheng 1; Liu, Zhong 2; Lin, Wei-Hua 3; Li, Shuangshuang1 ; Wang, Kai 1,4
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2013-03-01
卷号	14 期号:1 页码:22-33
文章类型	Article
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.
关键词	Distributed Modeling Mapreduce Model Fusion Traffic Flow Forecasting
WOS标题词	Science & Technology ; Technology
关键词[WOS]	TRANSPORTATION SYSTEMS ; PREDICTION
收录类别	SCI
语种	英语
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000319828100003
引用统计	被引频次：35[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3646
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
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
第一作者单位	中国科学院自动化研究所
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.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
TITS_Distributed mod（1660KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览