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Traffic noise monitoring and modelling — an overview

Environmental Science and Pollution Research, 2022
Noise has emerged as a leading environmental problem and is an underestimated threat. The most significant source of noise pollution is road traffic. Road traffic noise problem has reached alarming levels. This proves the severity and necessity of mitigating the traffic noise from every delicate corner possible.
Suman Mann, Gyanendra Singh
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Traffic noise models and noise guidelines: A review

Noise & Vibration Worldwide, 2021
Traffic noise is a major cause of noise pollution, and impacts of noise pollution on humans have been studied extensively. Previous studies have helped in the development of traffic noise prediction analysis using robust analytical and computational models, parameters connected with traffic, road characteristics, and environment. This study reviewed 11
Fidelma Ibili   +5 more
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A NOISE MODEL FOR URBAN WATER TRAFFIC IN VENICE

IOA 40th Anniversary Conference 2014, 2023
Noise is considered among the first causes of urban degradation and the impact on human health and environment quality is huge. Many studies have demonstrated that urban noise exposure may produce a number of direct and indirect effects other than hearing damage. These include interference on communication and sleep disturbance effects.
REMIGI, FRANCESCA, DI BELLA, ANTONINO
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Efficient numerical modeling of traffic noise

The Journal of the Acoustical Society of America, 2010
An optimized method is presented for the numerical evaluation of the sound field generated by an incoherent line source, which is commonly used to model road and rail traffic noise. Two different solutions for the numerical integration over the line source are distinguished, a point source solution and a line source solution.
Salomons, E.M., Zhou, H., Lohman, W.J.A.
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1 /f NOISE IN A TRAFFIC MODEL

Fractals, 1993
One-dimensional traffic flow is simulated by a cellular-automaton-type discrete model. As we increase the car density, the model shows a phase transition between a jam phase and a non-jam phase. By adding random perturbations we found a 1/f power spectrum in the jam phase, whereas a white noise is observed in the non-jam phase.
Misako Takayasu, Hideki Takayasu
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Modelling traffic noise mathematically

Applied Acoustics, 1975
Abstract In this paper we describe a mathematical model for the prediction of traffic noise levels in an urban or suburban situation. The model is ultimately intended to provide an alternative to existing methods of prediction. At the present time, only noise levels produced by stationary sound sources have been considered.
A.D. Clayden, R.W.D. Culley, P.S. Marsh
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A statistical model of traffic noise

Applied Acoustics, 1968
Traffic noise recordings have been analysed and presented in the form of graphs of the percentage of time during which the noise remains between certain levels against the levels involved. It has been established experimentally that observations presented in this form approach a Gaussian distribution.
J. Foxon, F.J. Pearson
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Modeling urban traffic noise with stochastic and deterministic traffic models

Applied Acoustics, 2013
This paper presents the development and evaluation of a stochastic dynamic traffic noise prediction model based on noise curves for vehicle classes and their speed. The model was tested on urban two-lane roads in the city of Bogota and was established on the basis of the fit of single Li,17sec noise functions for different types of vehicles.
Alberto Ramírez, Efraín Domínguez
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Urban daytime traffic noise prediction models

Environmental Monitoring and Assessment, 2009
An evaluation was made of the acoustic environment generated by an urban highway using in situ measurements. Based on the data collected, a mathematical model was designed for the main sound levels (L (eq), L (10), L (50), and L (90)) as a function of the correlation between sound levels and between the equivalent sound pressure level and traffic ...
Elaine Carvalho, da Paz   +1 more
openaire   +2 more sources

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