Participatory noise pollution monitoring using mobile phones

Authors:
Nicolas Maisonneuve;Matthias Stevens;Bartek Ochab
Affiliations:
Sony Computer Science Lab Paris, 6, rue Amyot, FR75005 Paris, France;(Correspd. Tel.: +32 2 629 1353/ Fax: +32 2 629 3525/ E-mail: mstevens@vub.ac.be) BrusSence group, Software Languages Lab and AI Lab, Vrije Universiteit Brussel, Pleinlaan 2, B1050 Brussels, Belgi ...;Sony Computer Science Lab Paris, 6, rue Amyot, FR75005 Paris, France
Venue:
Information Polity - Government 2.0: Making Connections between citizens, data and government
Year:
2010

Citing 6
Cited 7

Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia

GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Incorporating citizens' views in local policy decision making processes

Decision Support Systems
Urban sensing: out of the woods

Communications of the ACM - Urban sensing: out of the woods
First experiences using wireless sensor networks for noise pollution monitoring

Proceedings of the workshop on Real-world wireless sensor networks
Geoscience explanations: Identifying what is needed for generating scientific narratives from data models

Environmental Modelling & Software
The design space of wireless sensor networks

IEEE Wireless Communications

Monitoring residential noise for prospective home owners and renters

Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Democratizing ubiquitous computing: a right for locality

Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Noisemap: multi-tier incentive mechanisms for participative urban sensing

Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
Mobile application for noise pollution monitoring through gamification techniques

ICEC'12 Proceedings of the 11th international conference on Entertainment Computing
Low cost crowd counting using audio tones

Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Municipal benefits of participatory urban sensing: a simulation approach and case validation

Journal of Theoretical and Applied Electronic Commerce Research
Noisemap: Discussing Scalability in Participatory Sensing

Proceedings of First International Workshop on Sensing and Big Data Mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1].