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Erschienen in: The VLDB Journal 1/2020

29.08.2019 | Special Issue Paper

Spatial crowdsourcing: a survey

verfasst von: Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi

Erschienen in: The VLDB Journal | Ausgabe 1/2020

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Abstract

Crowdsourcing is a computing paradigm where humans are actively involved in a computing task, especially for tasks that are intrinsically easier for humans than for computers. Spatial crowdsourcing is an increasing popular category of crowdsourcing in the era of mobile Internet and sharing economy, where tasks are spatiotemporal and must be completed at a specific location and time. In fact, spatial crowdsourcing has stimulated a series of recent industrial successes including sharing economy for urban services (Uber and Gigwalk) and spatiotemporal data collection (OpenStreetMap and Waze). This survey dives deep into the challenges and techniques brought by the unique characteristics of spatial crowdsourcing. Particularly, we identify four core algorithmic issues in spatial crowdsourcing: (1) task assignment, (2) quality control, (3) incentive mechanism design, and (4) privacy protection. We conduct a comprehensive and systematic review of existing research on the aforementioned four issues. We also analyze representative spatial crowdsourcing applications and explain how they are enabled by these four technical issues. Finally, we discuss open questions that need to be addressed for future spatial crowdsourcing research and applications.

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Fußnoten
1
The term was coined for the first tine in [132].
 
2
Sometimes Waze is also viewed as a crowdsensing application, which leverages users’ sensor-equipped mobile devices to collect and share data. Spatial crowdsourcing is a general framework and can subsume crowdsensing or participatory sensing [132].
 
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Metadaten
Titel
Spatial crowdsourcing: a survey
verfasst von
Yongxin Tong
Zimu Zhou
Yuxiang Zeng
Lei Chen
Cyrus Shahabi
Publikationsdatum
29.08.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
The VLDB Journal / Ausgabe 1/2020
Print ISSN: 1066-8888
Elektronische ISSN: 0949-877X
DOI
https://doi.org/10.1007/s00778-019-00568-7

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