Erratum to sonROAD18: Swiss Implementation of the CNOSSOS-EU Road Traffic Noise Emission Model

AbstractBased on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method. Due to the similarity in the urban structures in China and Japan, this paper uses the ASJ- 2013 model as a template and replaces its model parameters with the ones output by an optimization program which minimizes the sum of absolute errors between the predicted and the measured LAeq. Real road experiments are conducted to verify the effectiveness and feasibility of the modeling method. The mean error of the model deduced by the method and the ASJ-2013 model is respectively 0.4 dB and 2.6 dB, and the mean absolute error of the two models is respectively 1.1 dB and 2.6 dB. The results of the real road experiments show that the road traffic noise sources deduced by the method are more accurate to conduct local noise prediction than those of other models.

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Creation of Theoretical Road Traffic Noise Model with the Help of GIS

Proccedings of 10th International Conference "Environmental Engineering" ◽

10.3846/enviro.2017.122 ◽

2017 ◽

Cited By ~ 1

Author(s):

Kinga Szopinska

Keyword(s):

Urban Space ◽

Road Traffic ◽

Traffic Noise ◽

Noise Model ◽

Road Traffic Noise ◽

The European Union ◽

Noise Emission ◽

Starting Point ◽

Information Layer ◽

Gis Data

Road traffic noise, as a form of environmental pollution, is an important element causing discomfort among inhabitants and leading to the emergence of noise nuisance influencing the shaping of urban space. The basic tool in combating noise is a Strategic Noise Map (SNM), which, understood as a system, constitutes an element of a city’s information layer. The system, illustrating the noise situation within a city, is prepared by means of a calculationmeasurement method using specialized computer programs. The assessment of road traffic noise begins by defining the amount of noise emissions coming from acoustically-homogenous sections (emission map), and ends with determining the extent of noise propagation in urban space (immission map). The above process is based on the analysis of actual input data describing, in a detailed manner, the analyzed road infrastructure in terms of the characteristics of the road section, information on the volume and type of traffic, and data on the organization of traffic. Under such extensive analysis of the condition of the environment, it is appropriate to apply GIS data as a methodological basis for creating SNMs. GIS data make it possible to unify the rules for collecting and archiving values characterizing the condition of the environment, as well as parameters influencing the level of noise. The aim of work is create a theoretical road traffic noise model with the help of GIS. The scope of information in attribute tables of acoustically-homogenous road sections comprising a GIS thematic layer was described in detail. The above information are the basis for generating digital road traffic noise emission maps as well as being the starting point for assessing road traffic noise in the area of a city in the form of immission maps. The article additionally analyzes the results of data derived from the first phase of noise mapping in Europe, as well as familiarizing the reader with the procedure of modelling road traffic noise emission in accordance with the CNOSSOS-EU which will become binding as of 31 December 2018 throughout the European Union, and which was introduced by the provisions of the new noise directive – Directive 2015/996 of 19 May 2015.

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Reduction in Calculated Uncertainty of a Noise Map by Improving the Traffic Model Data Through Two Phases

Acta Acustica united with Acustica ◽

10.3813/aaa.918456 ◽

2011 ◽

Vol 97 (5) ◽

pp. 761-768 ◽

Cited By ~ 7

Author(s):

M. Ausejo ◽

M. Recuero ◽

C. Asensio ◽

I. Pavón

Keyword(s):

Input Data ◽

Road Traffic ◽

Traffic Noise ◽

Traffic Model ◽

Road Traffic Noise ◽

Noise Emission ◽

The Road ◽

Palma De Mallorca ◽

Two Phases ◽

Noise Map

The influence of applying European default traffic values to the making of a noise map was evaluated in a typical environment like Palma de Mallorca. To assess these default traffic values, a first model has been created and compared with measured noise levels. Subsequently a second traffic model, improving the input data used for the first one, has been created and validated according to the deviations. Different methodologies were also examined for collecting model input data that would be of higher quality, by analysing the improvement generated in the reduction in the uncertainty of the noise map introduced by the road traffic noise emission.

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Effect of speed fluctuations due to driving imperfections on road traffic noise emission

Noise Control Engineering Journal ◽

10.3397/1.3615725 ◽

2011 ◽

Vol 59 (5) ◽

pp. 505

Author(s):

K. Rawat ◽

V. K. Katiyar ◽

Pratibha

Keyword(s):

Road Traffic ◽

Traffic Noise ◽

Road Traffic Noise ◽

Noise Emission ◽

Speed Fluctuations

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RESEARCH ON THE EFFECTS OF PAVEMENT SURFACE CONDITION ON ROAD TRAFFIC NOISE

Archives for Technical Sciences ◽

10.7251/afts.2013.0508.057p ◽

2012 ◽

Vol 1 (8) ◽

Cited By ~ 1

Author(s):

Mirza Pozder

Keyword(s):

Prediction Models ◽

Road Traffic ◽

Surface Condition ◽

Traffic Noise ◽

Noise Pollution ◽

Road Traffic Noise ◽

Noise Prediction ◽

Noise Emission ◽

Pavement Surface ◽

Pollution Problem

The noise is meant by all unwanted sounds. As the years were passing by the noise has become more and more intense. European Union adopted Directive 2002/49/EC recognizing noise pollution problem. During the processes of planning and designing, and after the construction of new roads, it is of major importance to determine the level of traffic noise which is going to occur or which has already occurred. For that purposes mathematical models for prediction of noise emission and dispersion have been used. The aim of this paper is to represent the results of the research on the effects of pavement surface condition on road traffic noise. Research results were used to develop noise prediction models.

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Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16142491 ◽

2019 ◽

Vol 16 (14) ◽

pp. 2491 ◽

Cited By ~ 3

Author(s):

Haibo Wang ◽

Ming Cai ◽

Hongjun Cui

Keyword(s):

Road Traffic ◽

Noise Analysis ◽

Traffic Noise ◽

Point Sources ◽

Road Traffic Noise ◽

Emission Model ◽

Noise Abatement ◽

Urban Buildings ◽

Spatial Subdivision ◽

Tracing Method

In order to realize the simulation and evaluation of road traffic noise among urban buildings, a spatial subdivision-based beam-tracing method is proposed in this study. First, the road traffic source is divided into sets of point sources and described with the help of vehicle emission model. Next, for each pair of source and receiver, spatial subdivision-based beam-tracing method is used in noise paths generation. At last, noise distribution can be got by noise calculation of all receivers considering the complex transmission among urban buildings. A measurement experiment with a point source is carried out to validate the accuracy of the method; the 0.8 m height and 2.5-m height average errors are about 0.9 dB and 1.2 dB, respectively. Moreover, traffic noise analysis under different building layouts and heights are presented by case applications and conclusions can be reached: (1) Different patterns result in different noise distributions and patterns designed as self-protective can lead to an obvious noise abatement for rear buildings. Noise differences between the front and rear buildings are about 7–12 dB with different patterns. (2) Noise value might not show a linear variation along with the height as shielding of different layers is various in reality.

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Determination of passenger car noise equivalent for mid-sized cities in India

INTER-NOISE and NOISE-CON Congress and Conference Proceedings ◽

10.3397/in-2021-1505 ◽

2021 ◽

Vol 263 (6) ◽

pp. 526-539

Author(s):

Adarsh Yadav ◽

Manoranjan Parida ◽

Brind Kumar

Keyword(s):

Road Traffic ◽

Noise Analysis ◽

Traffic Noise ◽

Concrete Pavement ◽

Road Traffic Noise ◽

Stream Data ◽

Noise Emission ◽

Passenger Car ◽

Reference Vehicle ◽

Traffic Stream

The heterogeneity in traffic flow composition increases the complexity of road traffic noise analysis for mid-sized in India. This study aims to determine a passenger car noise equivalent (PCNE) with respect to the average traffic stream speed that represents the number of a particular vehicle category with reference to an identified vehicle based on their noise emission characteristics. In the present study, vehicles are classified as bus, truck, light commercial vehicles (minibus, minitruck), three-wheelers (vikram-rickshaw), two-wheelers (bike/scooter), car, e-rickshaw and auto-rickshaw, and tractor-trailer. Car is taken as a reference vehicle for estimation of PCNE in our study due to its high percentage in traffic stream. Data has been collected on both bituminous and concrete pavement in Kanpur city, India, to analyze the differential effect of pavement on the noise level. As per this study, tractors-trailers, trucks, three-wheelers, and buses had a higher PCNE value, while two-wheelers and cars had almost similar PCNE value. A comparative analysis of PCNE value at concrete pavement is also conducted by considering car running on the bituminous pavement as reference vehicle. The study suggests to employ PCNE value in traffic noise analysis as it converts the divergent traffic volume in terms of the car.

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