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Journal articles on the topic 'CNOSSOS-EU'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

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 m

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2

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

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3

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 noi

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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

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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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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

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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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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 review

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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 pract

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8

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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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

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9

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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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, Nor

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10

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 ban

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WRóTNY, Marcin, Ivo HALADIN, and Kresimir BURNAC. "Evaluation of railway noise calculation models using CNOSSOS-EU considering the effect of rail roughness." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 5 (2024): 6333–39. http://dx.doi.org/10.3397/in_2024_3717.

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Railway noise assessment is an important tool in decision-making for urban planning, investment in transportation infrastructure and implementation of noise reduction strategies. Currently, the procedure is based on CNOSSOS-EU (Common Noise Assessment Methods in Europe), which was developed in accordance with European Directive 2002/49/EC. This method takes into account a variety of factors impacting rail noise levels, such as vehicle characteristics and track features. The purpose of this study was to investigate the influence of rail roughness on generated railway noise and to evaluate the a

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12

MøRCK, Christian, Helena AXELSSON, Nicolas SOGGE, and Ingunn MILFORD. "Comparison of results from road noise measurements and road noise calculation methods CNOSSOS-EU, Nord2000Road and Nord96." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 4 (2024): 7439–49. http://dx.doi.org/10.3397/in_2024_3960.

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To gain more experience with CNOSSOS-EU a series of road noise measurements was conducted to compare actual measurements with calculated results. These measurements were taken along an urban four-lane motorway in Oslo with speed limit 70 km/h, during the summer of 2023, in accordance with Norwegian standard NS 8174-02 as far as practicable. The resulting road noise levels LAeq, 24t were compared to the calculated levels obtained using three different methods for road traffic: Nord96, Nord2000 and CNOSSOS-EU. The measurement locations were chosen to span from open areas to more complex situatio

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13

Yli-Tuomi, Tarja, Anu W. Turunen, Pekka Tiittanen, and Timo Lanki. "Exposure–Response Functions for the Effects of Traffic Noise on Self-Reported Annoyance and Sleep Disturbance in Finland: Effect of Exposure Estimation Method." International Journal of Environmental Research and Public Health 19, no. 3 (2022): 1314. http://dx.doi.org/10.3390/ijerph19031314.

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Large variations in transportation noise tolerance have been reported between communities. In addition to population sensitivity, exposure–response functions (ERFs) for the effects of transportation noise depend on the exposure estimation method used. In the EU, the new CNOSSOS-EU method will change the estimations of exposure by changing the assignment of noise levels and populations to buildings. This method was officially used for the first time in the strategic noise mapping performed by Finnish authorities in 2017. Compared to the old method, the number of people exposed to traffic noise

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14

Genell, Anders, Mikael Ögren, Erik Nyberg, Andreas Gustafson, and Tomas Jerson. "Impact of railroad switches on rail noise exposure near stations." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (2023): 4110–16. http://dx.doi.org/10.3397/in_2022_0587.

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According to Common NOise aSSessment methOdS in EUrope (CNOSSOS-EU) in Annex II of Directive 2002/49/EC, noise from road, rail and airplane traffic, as well as noise from industries, shall be assessed using this common method. For railway noise in Sweden, noise assessment has previously been done using the Nordic Assesment Method for Train Noise, revised 1996 (NMT96). NMT96 includes a simple correction for rail joints of +3dB and for rail switches of +6dB. CNOSSOS-EU instead introduces a speed dependent correction based on a third octave band wavelength spectrum adding up to 20dB rolling noise

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15

Shilton, Simon, and Joshua Nunn. "Determining CNOSSOS-EU Meteorological correction factors in Ireland." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 1 (2023): 6250–57. http://dx.doi.org/10.3397/in_2022_0929.

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Ahead of the Round 4 strategic noise mapping under the END, TII commissioned a research project to determine the meteorological correction factors required for CNOSSOS-EU road and railway traffic noise calculationsacross Ireland. Methodologies for determining the percentage favourable propagation were identified under NMPB2008 and NORD2000, and the input data requirements of the methods assessed. Meteo data available from Met Eireann and TII weather stations was collected and collated and compared with the requirements of the two methodologies. The data available in from Irish met stations led

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16

Gaetano, Licitra, Bernardini Marco, Moreno Ricardo, Bianco Francesco, and Fredianelli Luca. "CNOSSOS-EU coefficients for electric vehicle noise emission." Applied Acoustics 211 (August 2023): 109511. http://dx.doi.org/10.1016/j.apacoust.2023.109511.

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17

Moscovici, Anca Maria. "Preliminary Results in the Development of a Database for Noise Maps." Applied Mechanics and Materials 801 (October 2015): 102–6. http://dx.doi.org/10.4028/www.scientific.net/amm.801.102.

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The control of roads traffic, of noise, of all other problems which occur on national road sections are much more manageable through Geographic Information Systems. The possibility of changing parameters in real time from a database, allows rapid information on problems encountered and efficient solutions at a more sustained rate.This paper presents a proposed solution to improve the Geographic Information System by adding noise data, by carrying out a case study on the road section Sag - Voiteg that connects Timisoara (Romania) and Belgrade (Serbia). The existing GIS system was established in

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18

Faulkner, Jon-Paul, Enda Murphy, Henry J. Rice, John Kennedy, and Eamonn Bourke. "Assessing rail-based environmental noise exposure using CNOSSOS-EU." Applied Acoustics 207 (May 2023): 109322. http://dx.doi.org/10.1016/j.apacoust.2023.109322.

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19

Phillips, Jonathan, Simon Shilton, and James Trow. "Sensitivity of Input Parameter on CNOSSOS-EU Road Emission Levels." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (2023): 4625–32. http://dx.doi.org/10.3397/in_2022_0666.

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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. The quality framework set out in Directive 996/2014 requires uncertainty in road emission levels at source to correspond to an uncertainty of ±2dB(A). By calculating emissions across a range of values

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20

Balogh, Edina, Tamás Schmelz, and Tibor Sipos. "A magyarországi akusztikai járműkategóriák megfeleltetése a CNOSSOS-EU módszer járműosztályainak." Közlekedés és Mobilitás 1, no. 1 (2022): 1–9. http://dx.doi.org/10.55348/km.7.

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A közúti stratégiai zajtérképek előállítása során a hazai forgalomszámlálási gyakorlat nem teszi lehetővé a „szóló nehéz tehergépkocsi”, valamint a „motorkerékpár és segédmotoros kerékpár” forgalmi kategóriába tartozó járművek egyértelmű besorolását a CNOSSOS-EU módszer járműosztályaiba. Eltérő besorolási változatok zajkibocsátásra gyakorolt hatását elemezve előbbi kategóriára általánosan, utóbbira pedig a belterületi útszakaszokra vonatkozóan igazoltuk a probléma akusztikai relevanciáját.

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21

Hartog Van Banda, Erwin. "The three methods of calculating population exposure according to CNOSSOS-EU." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (2023): 3999–4005. http://dx.doi.org/10.3397/in_2022_0570.

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In December 2020, the EU commission published amendments on CNOSSOS-EU in report 'C(2020) 9101 final'. In this report an additional method for the calculation of population exposure is described, based on a Median value. In the original CNOSSOS document, 2 methods are described, Method 1 - Most exposed façade and Method 2 - Length of representative façade. Method 1 is used for buildings that represent a single dwelling or 1 dwelling per floor. Method 2 is used for apartment buildings that have dwellings with a single façade exposed to noise. The new Method 3 can be used for apartment buildings

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Balogh, Edina Anna, Tamás Schmelz, and László Orosz. "Sensitivity of CNOSSOS-EU sound propagation model to digital surface components." Acta Technica Jaurinensis 15, no. 1 (2022): 47–57. http://dx.doi.org/10.14513/actatechjaur.00644.

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The accuracy of input data is a key issue in sound propagation model calculations. This paper aimed to assess the effect of building and land cover input data accuracy on CNOSSOS-EU sound propagation model outputs. Calculations were performed for a study site with a quite diverse land cover structure, located along a major road in Monor, Hungary. Nine test cases were defined based on building and land cover datasets with different accuracy. Comparing the results of the test cases to each other, it was found that in residential areas, the sound propagation model is more sensitive to the buildin

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Shilton, Simon, and RafDouglas C. Tommasi. "Implementing the CNOSSOS-EU correction near traffic light junctions and roundabouts." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 1 (2023): 6258–65. http://dx.doi.org/10.3397/in_2022_0930.

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Under the Environmental Noise Directive (END), the Round 4 strategic noise maps are to be calculated using the methodology set out in Directive 2015/996 (as amended) (CNOSSOS-EU). As part of the road traffic source emission model, a correction for the effect on noise levels due to the acceleration and deceleration of vehicles shall be applied near crossings with traffic lights and roundabouts. As part of the revision of the EPA guidelines on strategic noise mapping in Ireland, a technical investigation was carried out to identify the effect of the correction factor on road traffic noise emissi

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PASCALE, Antonio, Domenico ROSSI, Aurora MASCOLO, Margarida COELHO, and Claudio GUARNACCIA. "Road Traffic Noise Levels Estimations by means of Fully Dynamic and Microscopic Approach Compared to CNOSSOS-EU Model." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 7 (2024): 4767–78. http://dx.doi.org/10.3397/in_2024_3506.

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In the last decades, research has been dedicated to refining models for assessing traffic noise levels, supporting national authorities in addressing associated problems. Progress has shifted from basic statistical models to dynamic ones, typically composed of a Noise Emission Model (NEM) for estimating source sound power levels and a sound propagation model for assessing equivalent noise levels at specific receiver points. These models commonly integrate the average speed of traffic flow as an input variable, placing them in the macroscopic or mesoscopic realm. The CNOSSOS-EU model (reference

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Heutschi, Kurt, Barbara Locher, and Michael Gerber. "sonROAD18: Swiss Implementation of the CNOSSOS-EU Road Traffic Noise Emission Model." Acta Acustica united with Acustica 104, no. 4 (2018): 697–706. http://dx.doi.org/10.3813/aaa.919209.

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Khan, Jibran, Matthias Ketzel, Steen Solvang Jensen, John Gulliver, Erik Thysell, and Ole Hertel. "Comparison of Road Traffic Noise prediction models: CNOSSOS-EU, Nord2000 and TRANEX." Environmental Pollution 270 (February 2021): 116240. http://dx.doi.org/10.1016/j.envpol.2020.116240.

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27

Grilo Bensusan, Alvaro, and Javier Mitjavila. "Verification of Railways Noise Mapping Using CNOSSOS-EU: Case Study on Freight Trains." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 1 (2023): 6612–23. http://dx.doi.org/10.3397/in_2022_0998.

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Freight trains are a relevant source of environmental noise and require an acoustical assessment to quantify the exposure of the population using noise mapping. Once the results of the noise calculations have been developed, it might be necessary to adopt mitigation strategies that can be validated using these noise models. It is becoming increasingly common to undertake some form of validation exercise to cross-reference the calculated levels with measurements to reduce the uncertainty in the action planning. Based upon the results of the monitoring, the measured data may then be stratified r

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Heutschi, Kurt, Barbara Locher, and Michael Gerber. "Erratum to sonROAD18: Swiss Implementation of the CNOSSOS-EU Road Traffic Noise Emission Model." Acta Acustica united with Acustica 105, no. 4 (2019): 718. http://dx.doi.org/10.3813/aaa.919351.

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Faulkner, Jon-Paul, and Enda Murphy. "Road traffic noise modelling and population exposure estimation using CNOSSOS-EU: Insights from Ireland." Applied Acoustics 192 (April 2022): 108692. http://dx.doi.org/10.1016/j.apacoust.2022.108692.

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Ascari, Elena, Mauro Cerchiai, Luca Fredianelli, Dulia Melluso, and Gaetano Licitra. "Tuning user-defined pavements in CNOSSOS-EU towards reliable estimates of road noise exposure." Transportation Research Part D: Transport and Environment 130 (May 2024): 104195. http://dx.doi.org/10.1016/j.trd.2024.104195.

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31

Bąkowski, Andrzej, and Leszek Radziszewski. "Measurements of urban traffic parameters before and after road reconstruction." Open Engineering 11, no. 1 (2021): 365–76. http://dx.doi.org/10.1515/eng-2021-0035.

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Abstract The study analyzed the parameters of vehicle traffic and noise on the national road in the section in the city from 2011 to 2016. In 2013–2014 this road was reconstructed. It was found that in most cases, the distribution of the tested variable was not normal. The median and selected percentiles of vehicle traffic parameters and noise were examined. The variability and type A uncertainty of the results were described and evaluated. The results obtained for the data recorded on working and non-working days were compared. The vehicle cumulative speed distributions, for two-way four-lane

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Müller, Tobias S., A. Nabikhani, and Arne Henning. "Applying time-resolved noise maps to assess the impact of road-traffic measures on wake-up reactions in urban environments." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 6 (2023): 2640–48. http://dx.doi.org/10.3397/in_2023_0386.

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The present study investigates the effect of traffic measures in an urban area on the wake-up reactions at nighttime of the residents in the vicinity. These measures include road blocks and speed limits along a few selected streets in a part of Berlin representing the studied area. A temporally resolved noise mapping method based on the CNOSSOS-EU directive is used to calculate the noise level at discrete locations. The number of reactions and the awakening frequency are estimated based on the metrics established in a previous study. The results show a reduction in adverse sleep disturbances l

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Kurul, Editöryel. "Erratum." PLANARCH - Design and Planning Research 9, no. 1 (2025): 222. https://doi.org/10.54864/planarch.1651249.

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The article titled “Comparative Evaluation of the Common European Noise Assessment Model (CNOSSOS-EU) and International Models Used in Road Noise Estimation” published in PLANARCH - Design and Planning Research, Volume 7, Issue 2, 2023, was produced from the doctoral thesis of Ezgi DADAŞ ARIKAN. Information was inadvertently omitted from the financial support statement of the study and has been corrected by the author as follows. Financial Disclosure: This study was carried out within the scope of project number FDK-2023-8304 supported by Gazi University Scientific Research Projects (BAP) Coor

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Salomons, Erik, and Michael Dittrich. "Health impact assessment of road traffic noise in the EU in 2020-2035." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 4 (2021): 1977–88. http://dx.doi.org/10.3397/in-2021-2019.

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The negative health effects of road traffic noise in the EU are analyzed over the period 20202035. For a baseline scenario, with autonomous traffic growth and fleet development, it is found that the EU health burden in 2030 is equivalent to the loss of 1.7 million 'healthy life years'. Various noise abatement scenarios are analyzed, with noise solutions such as quiet road surfaces, quiet tyres, and electric vehicles. The health benefits of the scenarios are calculated as healthburden differences from the baseline scenario. The calculation methodology is based on the noise exposure distribution

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Morley, D. W., K. de Hoogh, D. Fecht, et al. "International scale implementation of the CNOSSOS-EU road traffic noise prediction model for epidemiological studies." Environmental Pollution 206 (November 2015): 332–41. http://dx.doi.org/10.1016/j.envpol.2015.07.031.

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Pallas, Marie-Agnès, Michel Bérengier, Roger Chatagnon, Martin Czuka, Marco Conter, and Matthew Muirhead. "Towards a model for electric vehicle noise emission in the European prediction method CNOSSOS-EU." Applied Acoustics 113 (December 2016): 89–101. http://dx.doi.org/10.1016/j.apacoust.2016.06.012.

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Aletta, Francesco, Stefano Brinchi, Stefano Carrese, et al. "Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease." Noise Mapping 7, no. 1 (2020): 114–22. http://dx.doi.org/10.1515/noise-2020-0010.

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AbstractThis study presents the result of a traffic simulation analysis based on Floating Car Data and a noise emission assessment to show the impact of mobility restriction for COVID-19 containment on urban vehicular traffic and road noise pollution on the road network of Rome, Italy. The adoption of strong and severe measures to contain the spreading of Coronavirus during March-April 2020 generated a significant reduction in private vehicle trips in the city of Rome (-64.6% during the lockdown). Traffic volumes, obtained through a simulation approach, were used as input parameters for a nois

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Salomons, Erik M., and Michael Dittrich. "Health burden of road traffic noise in the EU in 2020–2035." Noise Control Engineering Journal 70, no. 5 (2022): 446–55. http://dx.doi.org/10.3397/1/377038.

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The negative health effects of road traffic noise in the EU are analyzed over the period 2020–2035. For a baseline scenario, with autonomous traffic growth and fleet development, we find that there will be 31 million highly annoyed persons and 15 million highly sleep-disturbed persons in the EU in 2030. The corresponding EU health burden in 2030 is equivalent to the loss of 1.7 million “healthy life years”. Various noise abatement scenarios are analyzed, with noise solutions such as quiet road surfaces, quiet tires, and electric vehicles. The health benefits of the scenarios are calculated as

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Bandeira, Jorge M., Pavlos Tafidis, Eloísa Macedo, et al. "Exploring the Potential of Web Based Information of Business Popularity for Supporting Sustainable Traffic Management." Transport and Telecommunication Journal 21, no. 1 (2020): 47–60. http://dx.doi.org/10.2478/ttj-2020-0004.

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AbstractThis paper explores the potential of using crowdsourcing tools, namely Google “Popular times” (GPT) as an alternative source of information to predict traffic-related impacts. Using linear regression models, we examined the relationships between GPT and traffic volumes, travel times, pollutant emissions and noise of different areas in different periods. Different data sets were collected: i) crowdsourcing information from Google Maps; ii) traffic dynamics with the use of a probe car equipped with a Global Navigation Satellite System data logger; and iii) traffic volumes. The emissions

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González, David Montes, Manuel Sánchez-Fernández, Juan Miguel Barrigón Morillas, Pedro Atansio-Moraga, Guillermo Rey-Gozalo, and Rosendo Vílchez-Gómez. "Road traffic noise correction coefficients associated with temperature. Case study and comparison with calculation methods." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 4 (2023): 4913–24. http://dx.doi.org/10.3397/in_2023_0697.

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Strategic noise maps by means of calculation methods allow the administrations managing road infrastructures to estimate the level of noise generated during their operating regime. The sound power emitted by this source of noise depends on multiple factors, which can be classified into three groups: meteorological conditions, variables associated with the physical characteristics of the road and variables related to road traffic. This study evaluates how temperature can have an effect on the sound pressure level generated in the surroundings of the infrastructure. A case study is presented in

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KHAN, Jibran, Pierre AUMOND, and Arnaud CAN. "Data assimilation for noise mapping using CNOSSOS - A Danish Case Study." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 5 (2024): 6945–49. http://dx.doi.org/10.3397/in_2024_3889.

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Noise maps play a significant role in developing noise mitigation policies. However, maps based on noise simulation models are likely to be uncertain due to underlying model uncertainties and parameterization. This research work explores the feasibility of data assimilation techniques to address this issue. A noise measurement campaign was carried out at two locations in the Central Jutland Region of Denmark. Consequently, 76 days (1 September-15 November 2019) (N = 1824 hours) of measured hourly A-weighted, energy equivalent, sound pressure level data (LAeq1h in dBA) was available for this ca

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VENKATARAMAN, Siddharth, and Romain RUMPLER. "Relation between measured noise levels and traffic flow." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 3 (2024): 8443–50. http://dx.doi.org/10.3397/in_2024_4095.

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Road-traffic flow parameters are a critical input to urban noise pollution evaluation frameworks such as CNOSSOS-EU. The accuracy and resolution of the traffic flow improves the quality of the noise exposure assessment. Highly resolved traffic flow within an urban network is difficult to reliably measure or predict. The quality and availability of such traffic information may be improved using data from low-cost noise sensors that are mounted beside representative segments of the road network. A model is presented, which relates the noise levels measured at a single noise sensor with the local

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WADMAN, FIlip, Sigmund OLAFSEN, and Jens FORSSéN. "Evaluation of noise emission from passenger cars in urban traffic a comparison between electric cars and cars with internal combustion engines." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 8 (2024): 3043–54. http://dx.doi.org/10.3397/in_2024_3268.

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Traffic noise is one of the largest contributors to environmental noise. Electrical vehicles have since the introduction been profiled as being quieter than the traditional car with internal combustion engine. Electrical passenger cars are becoming a larger part of the traffic fleet today than before. Since it has been expected that the propulsion noise is significantly lower for electrical passenger cars. This means one could argue that the traffic noise should be expected to decrease in urban traffic where the propulsion noise from cars dominates. Measurements have been conducted in Oslo, No

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ASCARI, Elena, Mauro CERCHIAI, Luca FREDIANELLI, Dulia MELLUSO, and Gaetano LICITRA. "Methods to estimate efficiency of Low Noise Pavement for specific vehicle categories." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 7 (2024): 4010–16. http://dx.doi.org/10.3397/in_2024_3402.

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Low Noise Pavements (LNPs) are efficient in reducing the rolling noise component of road-tire noise generation mechanisms. Open (porous) asphalt can be also efficient in reducing the propulsion noise component. As rolling/propulsion noise ratio varies with vehicles' category, the mitigation effect of a LNP varies between categories as confirmed by experimental data gathered in the LIFE NEREIDE. A proper model needs to predict and simulate the effects of LNPs in real conditions in the implementation sites. At present, LNPs can be modeled according to CNOSSOS-EU methodology using available refer

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Stępień, Bartłomiej, Tadeusz Wszołek, Dominik Mleczko, et al. "Suitability Analysis of Selected Methods for Modelling Infrasound and Low-Frequency Noise from Wind Turbines." Energies 17, no. 12 (2024): 2832. http://dx.doi.org/10.3390/en17122832.

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Wind turbines emit infrasound and low-frequency noise (ILFN), which can be annoying for people living near wind farms. To assess the acoustic impact of wind turbines on the environment, it is essential to model ILFN propagation during the forecasting stage. This study assesses the effectiveness of three commonly used sound propagation models (ISO 9613-2, CNOSSOS-EU for favourable propagation conditions, Nord2000) in predicting ILFN generated by wind turbines. The performance of these models in modelling ILFN is generally not validated or guaranteed. The analysis covers octave frequency bands r

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van Blokland, Gijsjan, and Luc Goubert. "Uncertainty in the standardized method "Characterization of the acoustic properties of road surfaces" by CEN TC227 WG5." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (2021): 314–22. http://dx.doi.org/10.3397/in-2021-1431.

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TC227 of CEN has developed a method to determine the effect of the road pavement on the sound emission of road vehicles. The proposed methods can be applied to define the acoustic label value of a generic or proprietary pavement type, to check compliance of a pavement with the specifications for that pavement type and to monitor the development of the acoustic properties over the lifetime of the product. With the procedure one can additionally derive the coefficients for the pavement correc tion in the noise emission formulae for road vehicles in the CNOSSOS-EU calculation model. The applicati

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Jenkin, Lance, Jeffrey Peng, and Jeffrey Parnell. "Variability of noise prediction models in catchments featuring significant barriers and noise-enhancing meteorological conditions." Journal of the Acoustical Society of America 152, no. 4 (2022): A129. http://dx.doi.org/10.1121/10.0015778.

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Accurate prediction of noise propagation from industrial sources forms a vital foundation from which to determine noise pollution levels on sensitive communities, as well as informing any mitigation measures required to address unacceptable impacts. A variety of sound propagation model options are available to practitioners in commercial software platforms such as SoundPLAN and CadnaA, and the ability to design effective noise barriers is contingent on the selection of a model that is suitable for the situation under consideration. This is particularly important in noise catchments that featur

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Baclet, Sacha, Siddharth Venkataraman, Erik Gomez, and Hamza Bouchouireb. "A machine learning- and compressed sensing-based approach for surrogate modelling in environmental acoustics: towards fast evaluation of building façade road traffic noise levels." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 1 (2023): 6040–51. http://dx.doi.org/10.3397/in_2022_0898.

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State-of-the-art urban road traffic noise propagation simulation methods such as the CNOSSOS-EU framework rely on ray tracing to estimate noise levels at specific locations on façades, so-called receiver points; this method is computationally expensive and its cost increases with the number of receiver points, which limits the spatial accuracy of such simulations in the context of real-time or near-real-time urban noise simulation applications. This contribution aims to investigate the applicability of multiple data-driven methods to the surrogate modelling of traffic noise propagation for fas

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Balastegui, Andreu, Guillermo Quintero, Jordi Romeu, and Jessica Gissella Maradey. "Estimation of annual sound pressure levels based on mobile measurements." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 7 (2023): 1874–80. http://dx.doi.org/10.3397/in_2023_0281.

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In order to compute the population exposure to environmental noise and to design and apply convenient action plans to reduce it, European Directive 2002/49/EC defines an environmental noise map as a picture of noise levels for different sources and time intervals. According to the Directive, since 2019 it is mandatory to compute noise maps by simulation, using the model CNOSSOS-EU. However, with the fast development of large sensor networks, in a near future, it can become cheaper and more convenient to compute noise maps by taking direct measurements. European Directive 2002/49/EC requires th

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Kephalopoulos, Stylianos, Marco Paviotti, Fabienne Anfosso-Lédée, Dirk Van Maercke, Simon Shilton, and Nigel Jones. "Advances in the development of common noise assessment methods in Europe: The CNOSSOS-EU framework for strategic environmental noise mapping." Science of The Total Environment 482-483 (June 2014): 400–410. http://dx.doi.org/10.1016/j.scitotenv.2014.02.031.

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