Data-Driven Intelligent Transportation Systems: A Survey

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

	Data-Driven Intelligent Transportation Systems: A Survey
	Zhang, Junping 1; Wang, Fei-Yue3 ; Wang, Kunfeng; Lin, Wei-Hua 4; Xu, Xin 5; Chen, Cheng 2
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2011-12-01
卷号	12 期号:4 页码:1624-1639
文章类型	Article
摘要	For the last two decades, intelligent transportation systems (ITS) have emerged as an efficient way of improving the performance of transportation systems, enhancing travel security, and providing more choices to travelers. A significant change in ITS in recent years is that much more data are collected from a variety of sources and can be processed into various forms for different stakeholders. The availability of a large amount of data can potentially lead to a revolution in ITS development, changing an ITS from a conventional technology-driven system into a more powerful multifunctional data-driven intelligent transportation system ((DITS)-I-2): a system that is vision, multisource, and learning algorithm driven to optimize its performance. Furthermore, (DITS)-I-2 is trending to become a privacy-aware people-centric more intelligent system. In this paper, we provide a survey on the development of (DITS)-I-2, discussing the functionality of its key components and some deployment issues associated with (DITS)-I-2. Future research directions for the development of (DITS)-I-2 is also presented.
关键词	Data Mining Data-driven Intelligent Transportation Systems ((Dits)-i-2) Machine Learning Microblog Mobility Visual Analytics Visualization
WOS标题词	Science & Technology ; Technology
关键词[WOS]	TRAFFIC SIGN RECOGNITION ; TRAVEL-TIME PREDICTION ; NONLINEAR DIMENSIONALITY REDUCTION ; PEDESTRIAN-DETECTION ; NIGHT-VISION ; COLLISION-AVOIDANCE ; ASSISTANCE SYSTEMS ; VEHICLE DETECTION ; NEURAL-NETWORKS ; CELL PHONES
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:000297588500061
引用统计	被引频次：1038[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/173211/3555
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.Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Sch Comp Sci, Shanghai 200433, Peoples R China 2.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 3.Univ Arizona, Tucson, AZ 85719 USA 4.Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA 5.Natl Univ Def Technol, Inst Automat, Coll Mechatron & Automat, Changsha 410073, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Junping,Wang, Fei-Yue,Wang, Kunfeng,et al. Data-Driven Intelligent Transportation Systems: A Survey[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2011,12(4):1624-1639.
APA	Zhang, Junping,Wang, Fei-Yue,Wang, Kunfeng,Lin, Wei-Hua,Xu, Xin,&Chen, Cheng.(2011).Data-Driven Intelligent Transportation Systems: A Survey.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,12(4),1624-1639.
MLA	Zhang, Junping,et al."Data-Driven Intelligent Transportation Systems: A Survey".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 12.4(2011):1624-1639.

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