Abstract
Background of mathematical model for prediction of road traffic noise called NAISS model is shown in this paper. The model has been created by extracting function relation among the equivalent noise levels and the traffic parameters collected by systematic traffic noise monitoring in urban areas of the city of Nis. Based on the analysis of three different variants of traffic noise prediction model, the model with three input parameters (the number of passenger vehicles, freight vehicles and buses) and one output (Leq) and two separate equations for two ranges of noise levels has been proposed as rather correctly for using in the urban areas of the city of Nis. In order to examine validity of formed model, it is carried out the comparative analysis of NAISS model and the other models available in literature and the verification of NAISS model based on data collected by traffic noise monitoring in urban areas of the city of Nis during the years 2008-2010. The good results obtained in the comparison with other prediction methods have been confirmed in the verification process of NAISS model. Scatter plot for model verification shown in this paper as well as the results of statistical analysis of the differences between measured and calculated data show the validity and enforceability of the NAISS model for traffic noise prediction in urban areas of the city of Nis. DOI: http://dx.doi.org/10.5755/j01.eee.19.6.1294
Highlights
By nature, noise represents a composite time-varying signal
The model has been created by extracting function relation among the equivalent noise levels and the traffic parameters collected by systematic traffic noise monitoring in urban areas of the city of Nis
In order to facilitate the estimation of the impact which the traffic flow had on the equivalent noise level, the total number of vehicles was divided into the number of passenger vehicles, freight vehicles and buses, which meant having three input parameters for the model: the number of passenger vehicles (Nc), the number of freight vehicles (Nhv) and the number of buses (Nb)
Summary
Noise represents a composite time-varying signal. Some of its components can be controlled while others cannot [1]. There is a large number of software packages which include different models of noise level calculations, but their usage is highly complex, as one needs to go through a detailed preparation of input data related to the noise source, as well as to the digitalized terrain model, which largely influences noise propagation due to different factors a sound wave encounters on propagation path (reflexion, diffraction, terrain absorption, air absorption, refraction, etc.) This is the reason why mathematical models based on experimental results of noise level monitoring and establishing their correlations with traffic parameters are developed.
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