Numerical Study of Traffic Noise Dispersion Based on the Coupling Between First-Order Traffic Model and French Noise Prediction Method

2021 ◽  
pp. 2253-2259
Author(s):  
Hana Mosbahi ◽  
Abdessalem Jbara ◽  
Emna Khamassi ◽  
Khalifa Slimi
Keyword(s):  
Numerical Study ◽  
Traffic Noise ◽  
Prediction Method ◽  
Traffic Model ◽  
Noise Prediction ◽  
First Order

Study of the road traffic noise prediction method applicable to low-noise road surfaces

2010 ◽  
Vol 31 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Keisuke Tsukui ◽  
Yasuo Oshino ◽  
Gijsjan van Blokland ◽  
Hideki Tachibana
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Prediction Method ◽  
Low Noise ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
The Road ◽  
Road Surfaces

scholarly journals The Analysis of Low Noise Protection Barriers Influence on Tram Traffic Noise Levels

2013 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Maja Ahac ◽  
Stjepan Lakušić ◽  
Saša Ahac ◽  
Vesna Dragčević
Keyword(s):  
Traffic Noise ◽  
Prediction Method ◽  
Field Measurements ◽  
Low Noise ◽  
Capital City ◽  
Noise Prediction ◽  
Residential Areas ◽  
Noise Mitigation ◽  
Protection Measure ◽  
Noise Models

Abstract The paper describes the analysis of tram traffic noise situation in residential areas in the vicinity of Drzic Avenue, one of the major routes between the northern and southern part of the Croatian capital city Zagreb, and the effect of low barriers placed by the tracks on tram noise mitigation. In order to evaluate the effect of planned protection measure, noise models were produced and verified with short-term field measurements. Calculations were conducted by means of noise prediction software, using European interim noise prediction method and 3D model of analyzed area. Finally, the results of noise calculations for existing tram traffic situation and planned measure of protection are presented on noise maps.

Noise Prediction Model Development for the Traffic Noise on Asphalt Rubber Roads

2006 ◽  
Author(s):  
Punnamee Sachakamol ◽  
Liming Dai
Keyword(s):  
Prediction Model ◽  
Prediction Models ◽  
Traffic Noise ◽  
Model Development ◽  
Prediction Method ◽  
Noise Prediction ◽  
Horizontal Distance ◽  
Simulation And Modeling ◽  
Noise Mitigation ◽  
Asphalt Rubber

Traffic noise prediction techniques are important tools for assessing the effects of noise mitigation. A number of noise prediction models are available for predicting noise levels at a receptor point. Traditionally, these noise predictions are limited to road side areas, where the effects of building and other infrastructure act as a barrier impediment to noise propagation are not considered. This paper describes the application of simulation and modeling of a simplified traffic noise prediction method based on the U.S. FWHA highway and existing traffic noise prediction models. The simplification has been achieved mainly by using the assumption that traffic flow speeds of various vehicle classes are correlated and similar in magnitude Also, an assumption is made that ground attenuation depends not only on the type of ground cover but also on a horizontal distance between the source and the receiver. Finally, the research intends to numerically evaluate the tire-pavement noise of the road with Asphalt Rubber (AR) pavement to minimize the traffic noise generated by the pavement. The application of simulation and modeling by packaged software will be introduced for utilizing the results, planning purposes and preliminary prediction of the traffic noise level on the AR pavement road section in Saskatchewan. This traffic noise prediction model will be simple to use by any end users, particularly environmental planners, acoustic engineers, and non-specialists.

A traffic noise prediction method based on vehicle composition using genetic algorithms

2005 ◽  
Vol 66 (7) ◽  
pp. 799-809 ◽  
Author(s):  
Ö. Gündoğdu ◽  
M. Gökdağ ◽  
F. Yüksel
Keyword(s):  
Genetic Algorithms ◽  
Traffic Noise ◽  
Prediction Method ◽  
Noise Prediction

A novel traffic-noise prediction method for non-straight roads

2012 ◽  
Vol 73 (3) ◽  
pp. 276-280 ◽  
Author(s):  
Jianqiang Zhao ◽  
Xiaoning Zhang ◽  
Ying Chen
Keyword(s):  
Traffic Noise ◽  
Prediction Method ◽  
Noise Prediction

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

Road Traffic Noise Prediction Model

2012 ◽  
Vol 3 (4) ◽  
pp. 110-112
Author(s):  
Rahul Singh ◽  
◽  
Parveen Bawa ◽  
Ranjan Kumar Thakur
Keyword(s):  
Prediction Model ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction

Application of the Boundary Element Method and Modal Analysis to Tire Acoustics Problems

1993 ◽  
Vol 21 (2) ◽  
pp. 66-90 ◽  
Author(s):  
Y. Nakajima ◽  
Y. Inoue ◽  
H. Ogawa
Keyword(s):  
Finite Element ◽  
Boundary Element Method ◽  
Boundary Element ◽  
Acoustic Radiation ◽  
Traffic Noise ◽  
Noise Prediction ◽  
Prediction System ◽  
Tire Noise ◽  
Acoustic Contribution ◽  
Element Method

Abstract Road traffic noise needs to be reduced, because traffic volume is increasing every year. The noise generated from a tire is becoming one of the dominant sources in the total traffic noise because the engine noise is constantly being reduced by the vehicle manufacturers. Although the acoustic intensity measurement technology has been enhanced by the recent developments in digital measurement techniques, repetitive measurements are necessary to find effective ways for noise control. Hence, a simulation method to predict generated noise is required to replace the time-consuming experiments. The boundary element method (BEM) is applied to predict the acoustic radiation caused by the vibration of a tire sidewall and a tire noise prediction system is developed. The BEM requires the geometry and the modal characteristics of a tire which are provided by an experiment or the finite element method (FEM). Since the finite element procedure is applied to the prediction of modal characteristics in a tire noise prediction system, the acoustic pressure can be predicted without any measurements. Furthermore, the acoustic contribution analysis obtained from the post-processing of the predicted results is very helpful to know where and how the design change affects the acoustic radiation. The predictability of this system is verified by measurements and the acoustic contribution analysis is applied to tire noise control.

SPEED DISTRIBUTION INFLUENCE IN ROAD TRAFFIC NOISE PREDICTION

2013 ◽  
Vol 12 (3) ◽  
pp. 493-501 ◽  
Author(s):  
Gerardo Iannone ◽  
Claudio Guarnaccia ◽  
Joseph Quartieri
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
Speed Distribution
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