Noise maps are a key asset in the elaboration of urban noise mitigation policies. However, simulation-based noise maps are subject to high uncertainties, and the estimation of population exposition to noise pollution generally relies on static averages over an extended period of time. This paper introduces a method to produce hourly noise maps based on temporally averaged simulation maps and mobile phone audio recordings. The data assimilation method produces an analysis noise map which is the so-called best linear unbiased estimator: it merges the simulated map and the measurements based on respective uncertainties so that the analysis map has minimum error variance. The method is illustrated through a neighborhood-wide experiment. A systematic study of the errors associated with both the simulation map and the observations (measurement error, temporal representativeness error, location error) is carried out. Two maps are produced, corresponding, respectively, to a morning and an evening time slot. The analysis maps achieve a reduction of at least 25% of root-mean-square error. The a posteriori error variance of the maps are generally around 50% of the a priori error variance in the vicinity of the observed locations.
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September 2018
September 11 2018
Assimilation of mobile phone measurements for noise mapping of a neighborhood
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Raphaël Ventura;
Raphaël Ventura
a)
INRIA
, 2 rue Simone Iff, 75012 Paris, France
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Vivien Mallet;
Vivien Mallet
INRIA
, 2 rue Simone Iff, 75012 Paris, France
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Valérie Issarny
Valérie Issarny
INRIA
, 2 rue Simone Iff, 75012 Paris, France
Search for other works by this author on:
Raphaël Ventura
a)
Vivien Mallet
Valérie Issarny
INRIA
, 2 rue Simone Iff, 75012 Paris, France
a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 144, 1279–1292 (2018)
Article history
Received:
October 23 2017
Accepted:
August 11 2018
Citation
Raphaël Ventura, Vivien Mallet, Valérie Issarny; Assimilation of mobile phone measurements for noise mapping of a neighborhood. J. Acoust. Soc. Am. 1 September 2018; 144 (3): 1279–1292. https://doi.org/10.1121/1.5052173
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