Improving The Performance Of Mobile Phone Crowdsourcing Applications

Keywords

Mobile phone crowdsourcing; Trust-based fusion

Abstract

Mobile phone crowdsourcing is a powerful tool for many types of distributed sensing problems. However, a central issue with this type of system is that it relies on user contributed data, which may be sparse or erroneous. This paper describes our experiences developing a mobile phone crowdsourcing app, Kpark, for monitoring parking availability on a university campus. Our system combines multiple trust-based data fusion techniques to improve the quality of user submitted parking reports and is currently being used by over 1500 students.

Publication Date

1-1-2015

Publication Title

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volume

1

Number of Pages

145-153

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84944682525 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84944682525

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