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Добірка наукової літератури з теми "CNOSSOS-EU"

Автор: Grafiati

Опубліковано: 10 березня 2023

Оновлено: 22 червня 2025

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Статті в журналах з теми "CNOSSOS-EU"

Youdale, Chris, Simon Shilton, and James Trow. "Impact of Ground Cover Dataset Selection on CNOSSOS-EU Calculated Levels." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (2023): 4674–81. http://dx.doi.org/10.3397/in_2022_0676.

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The United Kingdom Department for Food and Rural Affairs (Defra) commissioned a series of studies investigating the sensitivity of the CNOSSOS-EU noise assessment method. CNOSSOS-EU presents challenges in terms of input data accuracy and availability. For this reason, the studies were commissioned to support data decision making and quantify potential uncertainty in Defra's national noise model. A study was undertaken to identify how the selection of a ground cover dataset may influence calculated noise levels using the CNOSSOS-EU noise assessment method and computational load. Acoustic test models were developed incorporating prepared ground cover datasets based on CORINE Land Cover 2018, CEH Land Cover Map 2019 and OS Mastermap Topography. Noise calculations in accordance with CNOSSOS-EU were carried out for rural and urban/suburban propagation environments. A statistical analysis of the differences between each selected dataset was then undertaken. The paper discusses the findings of this analysis along with generic rules which were identified with respect to modelling ground effect using CNOSSOS-EU.

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Kumar, Kavisha, Hugo Ledoux, Richard Schmidt, Theo Verheij, and Jantien Stoter. "A Harmonized Data Model for Noise Simulation in the EU." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 121. http://dx.doi.org/10.3390/ijgi9020121.

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This paper presents our implementation of a harmonized data model for noise simulations in the European Union (EU). Different noise assessment methods are used by different EU member states (MS) for estimating noise at local, regional, and national scales. These methods, along with the input data extracted from the national registers and databases, as well as other open and/or commercially available data, differ in several aspects and it is difficult to obtain comparable results across the EU. To address this issue, a common framework for noise assessment methods (CNOSSOS-EU) was developed by the European Commission’s (EC) Joint Research Centre (JRC). However, apart from the software implementations for CNOSSOS, very little has been done for the practical guidelines outlining the specifications for the required input data, metadata, and the schema design to test the real-world situations with CNOSSOS. We describe our approach for modeling input and output data for noise simulations and also generate a real world dataset of an area in the Netherlands based on our data model for simulating urban noise using CNOSSOS.

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Shilton, Simon, Bert Peeters, Wout Schwanen, Stephen Smyth, and Stephen Byrne. "Determination of road surface correction factors for CNOSSOS-EU in Ireland." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 1 (2023): 7276–87. http://dx.doi.org/10.3397/in_2023_1095.

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Transport Infrastructure Ireland (TII) is a state agency in the Republic of Ireland. The primary function of TII is to provide an integrated approach to the future development and operation of the national roads network and light rail infrastructure throughout Ireland. TII are designated as the Noise Mapping Body (NMB) responsible for the development of strategic noise maps for all national roads carrying in excess of 3 million vehicles a year. Directive 2002/49/EC (commonly referred to as the Environment Noise Directive, 'the END') relates to the assessment and management of environmental noise. It is the main instrument of the European Union (EU) to quantify noise pollution levels, and trigger action within both Member States and at EU level. The END has the aim of establishing a common approach to the management of noise within the EU. Commission Directive (EU) 2015/996 established the common noise assessment methodology for Europe (CNOSSOS-EU). The CNOSSOS-EU road traffic noise emission model calculates rolling noise for different vehicle categories as a function of speed and frequency. The emission is initially calculated under reference conditions, then corrected for differing situations. For road surfaces which do not align with the reference surface, road surface correction factors should ideally be developed, otherwise a number of default values are provided within CNOSSOS-EU which are taken from the Dutch national noise assessment method, Rmg2012, and therefore contain only surfaces that are common in the Netherlands. For the implementation of CNOSSOS-EU in Ireland, a project was undertaken to develop road surface corrections for at least the three most common pavement types on the TII network with no direct match to the CNOSSOS-EU database. This paper will describe the measurements taken on Irish roads, the resulting road surface corrections, and our conclusions and recommendations for using the road surface corrections.

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Okada, Yasuaki, and Koichi Yoshihisa. "Comparison of sound emission in ASJ RTN-Model 2018 and several European prediction models." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 8 (2023): 81–91. http://dx.doi.org/10.3397/in_2023_0033.

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The road traffic noise prediction model ASJ RTN-Model 2018 is used widely as a support tool in the environmental impact assessment of development projects in Southeast Asia as well as in Japan. In European countries, various prediction models such as Nord and CNOSSOS-EU have been published. Since 2018, the specific noise emission, which can be incorporated into CNOSSOS-EU, was proposed in several countries: CNOSSOS-NL, -FR and sonROAD. Also, the coefficients of the emission model in CNOSSOS-EU were replaced in 2021. In this study, the values of noise emission and its frequency characteristics were compared between these prediction models using immission values calculated considering the effects of the ground surface and a barrier. The results revealed that the emission values for three vehicle types in ASJ RTN-Model 2018 are almost 1 dB lower on average than those in European models, and the immission values on the reflective ground are independent of differences in the frequency characteristic between the emission models.

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SCHLIEPHAKE, Carolin, Olaf USZYNSKI, Dominik WERNER, and Peter URBAN. "Methodology for determining new CNOSSOS-EU vehicle sound power coefficients using type approval data." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 5 (2024): 6229–40. http://dx.doi.org/10.3397/in_2024_3702.

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Анотація:

CNOSSOS-EU is a standardized framework for strategic noise mapping across the European Union which member states are required to conduct every five years. The framework provides an approach to assess noise from different sources, including road traffic noise. Road traffic noise is primarily caused by vehicles. In CNOSSOS-EU, the vehicle exterior noise is modeled using fixed sound power coefficients. These coefficients were derived from measurements conducted up to 2006. Although significant progress has been made in reducing vehicle exterior noise, the existing model does not account for this technical progress. This paper first reviews the evolution of exterior noise legislation and its impact on vehicle noise levels. It then presents a new procedure for integrating the technical progress into vehicle source modeling in CNOSSOS-EU by incorporating type approval data. For demonstration purposes, this procedure is applied to up-to-date type approval data of M1 vehicles, resulting in a more accurate representation of current noise emissions. This research contributes to the refinement of the CNOSSOS-EU model, aligning it with the current state of technology and providing a more precise basis for environmental noise assessment.

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Vinci, Davide, Joshua Nunn, James Trow, and Simon Shilton. "Determining and quantifying effects of Favourable Propagation on CNOSSOS-EU Calculated Noise Levels." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (2023): 4690–97. http://dx.doi.org/10.3397/in_2022_0678.

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Анотація:

The United Kingdom Department for Food and Rural Affairs (Defra) commissioned a series of studies investigating the sensitivity of the CNOSSOS-EU noise assessment method. CNOSSOS-EU presents challenges in terms of input data accuracy and availability. For this reason, the studies were commissioned to support data decision making and quantify potential uncertainty in Defra's national noise model. A study was undertaken to identify approaches to quantifying the effect of favourable propagation (FP) when calculating noise levels using the CNOSSOS-EU noise assessment methodology. Literature reviews allowed the identification of two methodologies for quantifying the occurrence of FP, and their respective data requirements. Data requirements were reviewed against data available from meteorology stations across UK and a method selected. FP was calculated for met sites in England and presented in tables and in the form of meteorological roses. Analysis was then undertaken exploring the effect of including of FP on sound propagation using CNOSSOS-EU using a test model. Comparisons were then made against assuming 100% favourable and 100% homogeneous conditions to identify the importance of calculating the occurrence of FP in noise exposure data.

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Hauge, Leo Heggem, Karen Brastad Evensen, and Herold Olsen. "How to ensure reliable noise calculations with Cnossos-EU." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 4 (2023): 4430–37. http://dx.doi.org/10.3397/in_2023_0631.

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The paper will discuss how to use the Cnossos-EU model in a consistent way across different users and software tools. This is based on a study related to implementation of Cnossos-EU in Norway. In the study a noise mapping task was given to two independent consultancy firms with long experience in the field. For some areas, the results show large differences between the two, up to 10 dB and more, even when the same method and same software tool was used. Comparisons revealed that different understanding of input data, different parameter settings in the calculation, and different company practices could explain the differences in the results. The study revealed a clear need for guidelines to ensure common assessment of noise mapping tasks. The paper will describe user guidelines to overcome this kind of problem in context of Cnossos-EU calculations. The guidelines are aimed for the Norwegian consultant industry.

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Phillips, Jonathan, James Trow, and Simon Shilton. "Sensitivity of Input Parameter on CNOSSOS-EU Railway Emission Levels." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (2023): 4698–705. http://dx.doi.org/10.3397/in_2022_0679.

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Анотація:

The United Kingdom Department for Food and Rural Affairs (Defra) commissioned a series of studies investigating the sensitivity of the CNOSSOS-EU noise assessment method. CNOSSOS-EU presents challenges in terms of input data accuracy and availability. For this reason, the studies were commissioned to support data decision making and quantify potential uncertainty in Defra's national noise model. The quality framework set out in Directive 996/2014 requires uncertainty in rail emission levels at source to correspond to an uncertainty of ±2dB(A). Due to the CNOSSOS-EU rail emission model being of multivariate complexity, and the multitude of possible parameter combinations, a scenario and parametric-based approach was taken to the study. The variation in rail emission levels was presented for each parameter for a set of rail vehicle speeds and rail infrastructure scenarios. The results of the analysis indicated which input parameters the CNOSSOS-EU rail noise emission model is most sensitive to. It was found that emissions are most sensitive to changes in the number of axles on the vehicle (i.e. wheel / rail interaction), the density of track joints (impact noise), the curvature of the track (squeal noise), and the construction of bridges (structural resonances). However, the choice of rail roughness, vehicle transfer function, and track transfer function (except in the case of direct fastenings) were found to have a limited impact on rail emission levels.

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Khan, Jibran, Erik Thysell, Claus Backalarz, Per Finne, Ole Hertel, and Steen Solvang Jensen. "Performance Evaluation of Nord2000, RTN-96 and CNOSSOS-EU against Noise Measurements in Central Jutland, Denmark." Acoustics 5, no. 4 (2023): 1099–122. http://dx.doi.org/10.3390/acoustics5040062.

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Анотація:

This article aims to assess the performance of Nord2000, RTN-96, and CNOSSOS-EU, the Nordic and European noise prediction standards, in predicting daily LAeq24h and Lden levels (dBA), by comparing them with measurements gathered over 76 days from the E45 motorway in Helsted, Central Jutland, Denmark. In addition, the article investigates the potential viability of utilizing Confidence-Weighting Average (CWA) for data fusion to enhance noise estimation accuracy. The results showed highly positive Spearman’s correlations (RS), reflecting strong agreements between observed and predicted data, Nord2000 = 0.85–0.98, CNOSSOS-EU = 0.79–0.92 and RTN-96 = 0.86–0.91. Model differences, RMSE = 0.4–3.3 dBA (Nord2000), 1.4 = 2.8 dBA (CNOSSOS) and 1.3–4.2 dBA (RTN-96), were mainly due to underlying model parametrization and uncertainties in model inputs. Overall, Nord2000 outperformed CNOSSOS and RTN-96 in reproducing observed noise levels. Moreover, CNOSSOS agreed well with the measured data and exhibited a high potential for noise mapping and health assessments. Likewise, the CWA is found to be a promising, forward-looking data fusion approach to improve noise estimates’ accuracy. More research is required to further evaluate the models in greater detail over a larger geographical area and across varied temporal scales (e.g., hourly, yearly).

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PALLAS, Marie-Agnès, Adrien LE BELLEC, David ECOTIèRE, et al. "CNOSSOS-FR: Are current road traffic noise emission coefficients still representative of today's vehicle fleet and roads?" INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 4 (2024): 7189–97. http://dx.doi.org/10.3397/in_2024_3927.

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CNOSSOS-EU is the common noise prediction method for producing strategic noise maps in Europe, according to Directive 2002/49/CE. Its road vehicle noise emission model involves a propulsion noise component and a rolling noise component, with coefficients specific to each vehicle category. As currently applied in France, it relies on the original EU coefficients published in the 2015 CNOSSOS-EU version and the rolling noise contribution is detailed in road surface classes in agreement with the national NMPB2008 method. As provided in the European method, corrective coefficients in frequency bands were determined per road surface class. The objective was to minimise the overall difference between NMPB2008 and CNOSSOS-FR emission predictions under similar conditions, the former method being previously used for periodic mapping. Now considering the later release of new EU reference coefficients and the difficulty of making the two methods involving different expressions and assumptions coincide, as well as questioning the need to update emission values resulting from measurements of the vehicle fleet taken 20-25 years ago, the study MINOOS is being carried out to assess the noise emission of the current vehicle fleet and reconsider French prediction coefficients accordingly. The paper describes the procedure and presents the first results.

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Більше джерел

Дисертації з теми "CNOSSOS-EU"

Bartalucci, Chiara. "Study of children's exposure to aircraft noise at school and application of a new method to pilot cases in proximity to the A.Vespucci airport in Florence (Italy)." Doctoral thesis, 2019. http://hdl.handle.net/2158/1152072.

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Анотація:

Noise due to take offs and landings at airports affects 0.6 million people at European level, causing average Lden values above 55 dB outside urban areas. This scenario represents a much smaller proportion if compared with the one caused by road and rail traffic noise, although aircraft noise is considered by citizens as more annoying than the other noise sources. Currently, some of the open research topics, which are the most highlighted in the scientific literature concerning aircraft noise, regard the need to test the new CNOSSOS-EU calculation method proposed by the EU Directive 2015/996, to be mandatory adopted by EU Member States within 2022, and the exposition of children to noise together with the development of specific curves of annoyance. The CNOSSOS-EU calculation method defines new algorithms for creating strategic noise maps for road, railway, aircraft and industrial noise. The new calculation method should be adapted to national legislation before the end of 2018, and applied in the next round of 2021/2022. Concerning this first open issue, technicians and experts are requested at EU level to test in simple pilot cases the new introduced calculation methods and the software in which they are implemented. Consequently, in the current work a simulation of the CNOSSOSEU calculation method has been carried out by considering as aircraft noise source the A.Vespucci airport in Florence and comparing the outputs with those obtained by applying the well-established INM calculation standard. Moreover, both models have been validated according to a noise measurement campaign carried-out in correspondence of one of the public buildings closest to the airport's runway, specifically a building of the University of Florence located in Sesto Fiorentino. Concerning the second thematic, contrasting outcomes have been obtained from already carried-out studies, in terms of cognitive tests results and possibilities for children to develop resilience skills together with coping mechanisms. Moreover, until now tests have been mainly carried-out during the normal course of lessons, without the possibility of controlling the time relative to the passage of the individual aircraft. Finally, new and updated curves of annoyance specific for children need to be introduced and evaluated. In the Manuscript a schematic protocol to support the application of the new developed methodology in further pilot cases contributing to the cited open issues is illustrated, together with the deep description of each phase of the method, according to the experience carried out during the research. Moreover, the application of the method to the two selected pilot schools is described, together with the phases of data acquisition and analysis. Due to the PhD activity's timing and available resources, the application of the developed method to the pilot cases and the consequent collection and analysis of the data have constituted only a first attempt of investigation, certainly they do not have the claim to be a complete and concluded work but a cue to continue the investigation with other samples of students, possibly more congruent between them, and resources. Different skills and subjects such as acoustics, audio signal processing techniques, optimization algorithms, psychology, sociology and statistics skills have been involved in the research and in the method definition. Finally, possible application scenarios and key aspects to be addressed in a future research work are described in the thesis.

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Тези доповідей конференцій з теми "CNOSSOS-EU"

Bakowski, Andrzej. "Validation Of Cnossos-EU Urban Traffic Noise Model." In 2019 20th International Carpathian Control Conference (ICCC). IEEE, 2019. http://dx.doi.org/10.1109/carpathiancc.2019.8766011.

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E HARTOG VAN BANDA, T VERHEIJ, E., E. HARTOG VAN BANDA, and T. VERHEIJ. "EXPERIENCES WITH ISO 17534 AND RECOMMENDATIONS FOR CNOSSOS-EU." In ICSV24 2017. Institute of Acoustics, 2024. https://doi.org/10.25144/23925.

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RADZISZEWSKI, L. "Analysis of Urban Traffic Noise at Weekends – Case Study." In Terotechnology XII. Materials Research Forum LLC, 2022. http://dx.doi.org/10.21741/9781644902059-43.

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Анотація:

Abstract. The study carried out an analysis of the urban traffic noise parameters on Sundays and Saturdays. The results of noise simulations according to the Cnossos-EU model were compared with the sound level calculated by a permanent automatic sound and traffic volume monitoring station. The variations in results were evaluated. Analyzes carried out showed that the traffic of passenger vehicles is the main source of road noise. A very good agreement of the noise values determined according to the Cnossos-EU model and the measured ones was obtained. The maximum noise values on Sundays are only slightly smaller than on Saturdays. The shape of the noise diagram and the noise values at individual hours of the day on Saturdays are different than on Sundays. An experimental model of noise variability at weekends has been proposed. The equations describing the variability of the equivalent sound level were validated. Fit factor R2 of the proposed equations to the experimental data ranges from 0.85 to 0.94.

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PROBST, W. "ACTIVITIES AND EXPERIENCES WITH QUALITY ASSURANCE OF CNOSSOS-EU IMPLEMENTED SOFTWARE." In ICSV24 2017. Institute of Acoustics, 2025. https://doi.org/10.25144/24711.

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Murphy, E., J. P. Faulkner, and E. A. King. "Calculation methodologies for motorways and national roads in Ireland: Comparing CRTN and CNOSSOS-EU." In 10th Convention of the European Acoustics Association Forum Acusticum 2023. European Acoustics Association, 2022. http://dx.doi.org/10.61782/fa.2023.1048.

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Leal, A., I. Aspuru Soloaga, M. Vazquez Suarez, and A. Santander. "Characterization of the acoustic emission of railway noise, applying the CNOSSOS-EU method, by some Spanish railway managers." In 10th Convention of the European Acoustics Association Forum Acusticum 2023. European Acoustics Association, 2024. http://dx.doi.org/10.61782/fa.2023.0914.

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Szopinska, Kinga. "Creation of Theoretical Road Traffic Noise Model with the Help of GIS." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.122.

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Анотація:

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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