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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

101 Scopus Citations
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Author(s)

  • Xiao Wang
  • Xinhu Zheng
  • Qingpeng Zhang
  • Tao Wang
  • Dayong Shen

Detail(s)

Original languageEnglish
Article number7398060
Pages (from-to)1596-1605
Journal / PublicationIEEE Transactions on Intelligent Transportation Systems
Volume17
Issue number6
Online published3 Feb 2016
Publication statusPublished - Jun 2016

Abstract

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.

Research Area(s)

  • Crowdsourcing, location-based services, network analysis, urban traffic management

Citation Format(s)

Crowdsourcing in ITS: The State of the Work and the Networking. / Wang, Xiao; Zheng, Xinhu; Zhang, Qingpeng et al.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 6, 7398060, 06.2016, p. 1596-1605.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review