TY - JOUR
T1 - Crowdsourcing in ITS
T2 - The State of the Work and the Networking
AU - Wang, Xiao
AU - Zheng, Xinhu
AU - Zhang, Qingpeng
AU - Wang, Tao
AU - Shen, Dayong
PY - 2016/6
Y1 - 2016/6
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - location-based services
KW - network analysis
KW - urban traffic management
UR - http://www.scopus.com/inward/record.url?scp=84957615850&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84957615850&origin=recordpage
U2 - 10.1109/TITS.2015.2513086
DO - 10.1109/TITS.2015.2513086
M3 - RGC 21 - Publication in refereed journal
SN - 1524-9050
VL - 17
SP - 1596
EP - 1605
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 6
M1 - 7398060
ER -
