Abstract
Noise measurement using mobile phones is now developed very well. While there are some good applications for the measurement of noise from road traffic, thus on processing of measured data is only paid a very little attention. The data, however, are burdened by specific errors and for further work with them it is necessary to adjust and determine their uncertainty. One of the biggest problems is inaccuracy in position versus the noise source and the shortest length of measurement that can be regarded as representative. Imprecision in terms of location can be determined by calculating the variance of possible distance from the noise source, which for measurement of traffic noise requires a map-matching data points both transverse to the street (sidewalk) network and in the longwise direction. During typical urban measurements, this error can even reach 7 - 10 dB. Three basic types of algorithms for the calculation of uncertainty and positional correction based on the type of input and output data (raster, vector, vector-oriented) were tested. Uncertainty in the variability of the measurement data is necessary to determine from the number of passing vehicles per time unit. The presented solutions are implemented in the Mobile Noise system.
Highlights
WideNoise [11]—An application developed for mobile phones with operating systems iOS and Android by a company called Wide Tag [12]
This application is a representative of a number of similar applications that measure noise level only for a short period after button pressing and are designed to measure noise levels in certain situations to help users interpret the value of the noise levels in these cases
Measurements can be marked by coordinates and may be published on social networks or on the WideNoise website, where they are displayed on a map
Summary
Duda 2 phones for data collection and voluntary collection and processing of the data using a variety of social networks This concept can be applied among others, to the problem of environmental noise pollution. Further use of these data still remains a big question These studies were primarily aimed to test the concept of noise data crowdsourcing, while they did not develop issues of their further processing and use. This kind of data, if they are published at all, most often rely on the fact that they will be used in their raw form. This article primarily focuses on post processing of the noise data on example of ground transportation noise data from the point of view of the uncertainties in the positioning and in terms of changes in land transport operations during daytime
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