Verification of NAISS Model for Road Traffic Noise Prediction in Urban Areas

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.

Who is the bigger culprit? Studying impacts of traffic and land use on noise levels in CBD area of Karachi, Pakistan

“…higher level of traffic noise when traffic volume increase. This observation is consistent with that made by Prascevic et al (2013) in their study.…”

“…The level of traffic noise has been predicted in previous literature where some analytical models were utilized in terms of noise propagation (Burgess 1977; Garcia and Faus 1991;Guarnaccia 2013;Prascevic et al 2013).…”

“…. In order to maximize the comparison between different time scales as recommended by Prascevic et al (2013), we developed temporal intervals such as morning (06:30-10:30), afternoon (12:00-15:00) and evening (16:30-24:00) for two weeks. Noise levels were monitored at 10 minute interval for each sampling period.…”

Planning the City Logistics Terminal Location by Applying the Greenp-Median Model and Type-2 Neurofuzzy Network

“…This model is adaptive and it is possible to use some other models instead of the proposed method for obtaining the specific input data and that is particularly significant when the input noise parameters and the costs of the logistics operators are being considered. Therefore, instead of the proposed model for determination of noise parameters used in this paper [ 41 ], it is possible to use some other model judged as a quality one by the user, which better reflects the situation in the field. Moreover, the developed model structure allows for the possibility of there being the incomplete data.…”

“…Some of the most widely used models were defined by Burgess [ 38 ], Josse [ 39 ], and Fagotti and Poggi [ 40 ]. In this research, we used a model for determination of equivalent noise level generated by the road traffic, which has been developed by Prascevic et al [ 41 ].…”