Mobile crowdsensing accuracy for noise mapping in smart cities (CROSBI ID 255814)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Grubeša, Sanja ; Petošić, Antonio ; Suhanek, Mia ; Đurek, Ivan
engleski
Mobile crowdsensing accuracy for noise mapping in smart cities
This paper deals with the problem of traffic noise in urban areas in terms of noise mapping. It explains in detail the Mobile Crowdsensing (MCS) method and, furthermore, compares the results obtained with this method with the results gained from the standard method that uses a sound level metre. The research done in this paper shows that the MCS method can make noise mapping easier, cheaper and less time-consuming in terms of creating representative noise maps developed on measurements but also noise maps developed on calculations and simulations. The main idea is to show that accuracy and precision of measurements obtained by using calibrated smartphones are acceptable. The paper suggests that when using the smartphone measurement application, the calibration of the measurement chain can be done in free field with class 1 sound level metre, and noise map can be checked in a much larger number of points (in comparison with the standard measurement method) and therefore, smartphones can be used as instruments for creating or even checking final noise maps in urban environment. Another advantage of this method is that citizens can engage in noise monitoring in urban areas and become aware of the noise pollution in their cities.
Mobile Crowdsensing, IoT, noise pollution, noise map
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Podaci o izdanju
59 (3)
2018.
287-294
objavljeno
0005-1144
1848-3380
10.1080/00051144.2018.1534927
Povezanost rada
Elektrotehnika, Računarstvo