Crowdsourcing in ITS: The State of the Work and the Networking

doi:10.1109/TITS.2015.2513086

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

	Crowdsourcing in ITS: The State of the Work and the Networking
	Wang, Xiao1,2 ; Zheng, Xinhu 3; Zhang, Qingpeng 4; Wang, Tao5,6 ; Shen, Dayong 5; Xiao Wang
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2016-06-01
卷号	17 期号:6 页码:1596-1605
文章类型	Article
摘要	In the last decade, crowdsourcing has emerged as a novel mechanism for accomplishing temporal and spatial critical tasks in transportation with the collective intelligence of individuals and organizations. This paper presents a timely literature review of crowdsourcing and its applications in intelligent transportation systems (ITS). We investigate the ITS services enabled by crowdsourcing, the keyword co-occurrence and coauthorship networks formed by ITS publications, and identify the problems and challenges that need further research. Finally, we briefly introduce our future works focusing on using geospatial tagged data to analyze real-time traffic conditions and the management of traffic flow in urban environment. This review aims to help ITS practitioners and researchers build a state-of-the-art understanding of crowdsourcing in ITS, as well as to call for more research on the application of crowdsourcing in transportation systems.
关键词	Crowdsourcing Location-based Services Network Analysis Urban Traffic Management
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TITS.2015.2513086
关键词[WOS]	TRANSPORTATION ; NAVIGATION ; SYSTEMS ; ISSUE ; COLLABORATION ; INFORMATION ; PARKING ; SERVICE ; MAPS
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China (NSFC)(71232006 ; City University of Hong Kong under CityU Start-Up Grant(7200399) ; Natural Science Foundation of Guangdong Province of China(2014A030313753) ; NSFC(71402157) ; 61233001 ; 61533019)
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000377457200009
引用统计	被引频次：80[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/173211/11601
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
通讯作者	Xiao Wang
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 3.Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA 4.City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R China 5.Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China 6.Chinese Acad Sci, Beijing 100190, 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	Wang, Xiao,Zheng, Xinhu,Zhang, Qingpeng,et al. Crowdsourcing in ITS: The State of the Work and the Networking[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2016,17(6):1596-1605.
APA	Wang, Xiao,Zheng, Xinhu,Zhang, Qingpeng,Wang, Tao,Shen, Dayong,&Xiao Wang.(2016).Crowdsourcing in ITS: The State of the Work and the Networking.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,17(6),1596-1605.
MLA	Wang, Xiao,et al."Crowdsourcing in ITS: The State of the Work and the Networking".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 17.6(2016):1596-1605.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Crowdsourcing in ITS（1393KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览