Crowdsourcing in ITS: The State of the Work and the Networking
Wang, Xiao1,2; Zheng, Xinhu3; Zhang, Qingpeng4; Wang, Tao5,6; Shen, Dayong5; Xiao Wang
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2016-06-01
Volume17Issue:6Pages:1596-1605
SubtypeArticle
AbstractIn 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.
KeywordCrowdsourcing Location-based Services Network Analysis Urban Traffic Management
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TITS.2015.2513086
WOS KeywordTRANSPORTATION ; NAVIGATION ; SYSTEMS ; ISSUE ; COLLABORATION ; INFORMATION ; PARKING ; SERVICE ; MAPS
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000377457200009
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11601
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorXiao Wang
Affiliation1.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
Recommended Citation
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.
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