A critical review of principal traffic noise models: Strategies and implications

Garg, Naveen; Maji, S.

doi:10.1016/j.eiar.2014.02.001

Cited by 160 publications

(86 citation statements)

References 9 publications

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“…(9). In D {1...N} all the objects are taken into account in the calculation of ray-surface intersection, including the object on which the surface pressure is evaluated.…”

Section: Formulation In Case Of Multiple Objectsmentioning

confidence: 99%

“…Email address: pignier@kth.se (Nicolas J. Pignier) 1 Corresponding author for which Garg and Maji published a comparative review [9]. These methods are mainly used by consultants, land planners and highway engineers and focus on community noise [10].…”

Section: Introductionmentioning

confidence: 99%

“…These methods are mainly used by consultants, land planners and highway engineers and focus on community noise [10]. They include both source and propagation models, which are shifting from empirical models to more physical models as the computational resources increase [9]. Together with the development of these methods, propagation models for the wave emitted by a point source in an urban environment have been studied, using methods such as the boundary element method (BEM), ray-tracing algorithms or geometrical acoustic methods combined with diffraction models [11].…”

Section: Introductionmentioning

confidence: 99%

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A Kirchhoff approximation-based numerical method to compute multiple acoustic scattering of a moving source

2015

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Within the scope of a study of external noise propagation from moving ground vehicles, a numerical method is developed to compute the acoustic field emitted by a moving source in the presence of scattering objects such as roads, buildings or noise-shields. This method is developed with the purpose of being used in a vehicle design process and therefore it must have a low computational cost, which requires a certain number of approximations. The case of a fixed point source is studied first then the effect of a movement of the source is taken into account through the introduction of a retarded time. The acoustic source is assumed to be represented by one or many harmonic monopoles of possibly different frequency moving with a constant speed in a quiescent flow field. Scattering from nearby perfectly reflecting objects is computed through a Kirchhoff-Helmholtz integral equation applying the Kirchhoff approximation. A ray-surface intersection algorithm to compute shadow areas is proposed. The method is validated against analytical solutions and experimental results for a fixed source, and against a higher-order finite difference time-domain method for the multiple scattering of a moving source. Results are good and show that this method can potentially be used to predict urban noise.

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“…(9). In D {1...N} all the objects are taken into account in the calculation of ray-surface intersection, including the object on which the surface pressure is evaluated.…”

Section: Formulation In Case Of Multiple Objectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Kirchhoff approximation-based numerical method to compute multiple acoustic scattering of a moving source

2015

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“…In traffic noise modeling, the noise level at a receiver location due to traffic noise source is usually modeled as a function of the parameters such as, traffic conditions (traffic volume, traffic speed, and traffic composition), gradient of road, the nature of road surface, absorbent ground cover percentage, road configuration, and distance between the traffic noise source and the receiver [9]. The traffic noise source can be considered as point or line source.…”

Section: Introductionmentioning

confidence: 99%

Comparison Between Measured Traffic Noise in Klang Valley, Malaysia and Existing Prediction Models

Herni¹,

Ramdzani²,

Jailani³

et al. 2017

Eng. herit. j.

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“…A calibrated noise model with highest accuracy is thus essential for town planners and architects. There has been a great emphasis on noise and its ill effects in developing nations and each nation has now come up with a validated road traffic noise model 1,2 . The European Directive 2002/49/EC lays emphasis on environmental noise and related problems and obligates the member states to provide access to the information on noise pollution 3 .…”

Section: Introductionmentioning

confidence: 99%

Applications of AutoRegressive Integrated Moving Average (ARIMA) approach in time-series prediction of traffic noise pollution

Garg¹,

Soni²,

Saxena³

et al. 2015

noise cont engng j

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The paper analyzes the long-term noise monitoring data using the AutoRegressive Integrated Moving Average (ARIMA) modeling technique. Box-Jenkins ARIMA approach has been adapted to simulate the daily mean L Day (06-22 h) and L Night (22-06 h) in A-and C-weightings in conjunction with single-noise metrics, daynight average sound level (DNL) for a period of 6 months. The autocorrelation function (ACF) and partial autocorrelation function (PACF) have been obtained to find suitable orders of autoregressive (p) and moving average (q) parameters for ARIMA (p, d, q) models so developed for all the single-noise metrics. The ARIMA models, namely, ARIMA(0,0,14), ARIMA(0,1,1), ARIMA(7,0,0), ARIMA(1,0,0) and ARIMA(0,1,14), have been developed as the most suitable for simulating and forecasting the daily mean L Day dBA, L Night dBA, L Day dBC, L Night dBC, and day-night average sound level (DNL) respectively. The performance of the model so developed is ascertained using the statistical tests. The work reveals that the ARIMA approach is reliable for time-series modeling of traffic noise levels. © 2015 Institute of Noise Control Engineering.

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A critical review of principal traffic noise models: Strategies and implications

Cited by 160 publications

References 9 publications

A Kirchhoff approximation-based numerical method to compute multiple acoustic scattering of a moving source

A Kirchhoff approximation-based numerical method to compute multiple acoustic scattering of a moving source

Comparison Between Measured Traffic Noise in Klang Valley, Malaysia and Existing Prediction Models

Applications of AutoRegressive Integrated Moving Average (ARIMA) approach in time-series prediction of traffic noise pollution

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