Research Article
Improving Urban Noise Monitoring Opportunities via Mobile Crowd-Sensing
@INPROCEEDINGS{10.1007/978-3-319-33681-7_79, author={Marco Zappatore and Antonella Longo and Mario Bochicchio and Daniele Zappatore and Alessandro Morrone and Gianluca Mitri}, title={Improving Urban Noise Monitoring Opportunities via Mobile Crowd-Sensing}, proceedings={Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers}, proceedings_a={SMARTCITY360}, year={2016}, month={6}, keywords={Mobile Crowd Sensing Urban noise monitoring Urban traffic noise abatement measures Data Warehouse FIWARE}, doi={10.1007/978-3-319-33681-7_79} }- Marco Zappatore
Antonella Longo
Mario Bochicchio
Daniele Zappatore
Alessandro Morrone
Gianluca Mitri
Year: 2016
Improving Urban Noise Monitoring Opportunities via Mobile Crowd-Sensing
SMARTCITY360
Springer
DOI: 10.1007/978-3-319-33681-7_79
Abstract
In the recent years, mobile devices pervasivity has boosted the diffusion of a novel sensing paradigm known as Mobile Crowd Sensing (MCS). In this paper, we propose a MCS-based system exploiting FIWARE middleware platform and allowing users to gather noise measurements (both opportunistically and participatory) in order to perform large-scale, low-cost and sufficiently accurate urban noise monitoring campaigns. Collected measurements are then aggregated, filtered and interpolated in order to provide city managers with an overview of the actual noise pollution levels in their cities. Specific noise abatement measures are suggested to city managers (in terms of both estimated noise reduction and average installation costs). The already performed field tests demonstrated the feasibility of the proposed approach.