Abstract In recent decades, road infrastructures have been the subject of numerous studies, aimed at ensuring reduced air and acoustic pollution. On the other hand, several studies showed that another important problem is dust load. Indeed, for internal combustion engine (ICEVs) and electric vehicles (EVs), suspended solids, fine particles, heavy metals, nutrients and organic chemicals can lead to a gradual reduction in terms of drainage characteristics, negatively affecting road acoustic characteristics. The purpose of this study is to discuss if sensor-based noise mapping can be a proxy of particulate matter (PM) and permeability mapping. More precisely, the main objective of this study is to discuss conceptual analogies among noise, PM, and permeability mapping. Selected specimens were produced with and without crumb rubber.
{"title":"Can sensor-based noise mapping be a proxy of PM and permeability mapping?","authors":"F. Praticò, Diana Severini, P. Filianoti","doi":"10.1515/noise-2021-0024","DOIUrl":"https://doi.org/10.1515/noise-2021-0024","url":null,"abstract":"Abstract In recent decades, road infrastructures have been the subject of numerous studies, aimed at ensuring reduced air and acoustic pollution. On the other hand, several studies showed that another important problem is dust load. Indeed, for internal combustion engine (ICEVs) and electric vehicles (EVs), suspended solids, fine particles, heavy metals, nutrients and organic chemicals can lead to a gradual reduction in terms of drainage characteristics, negatively affecting road acoustic characteristics. The purpose of this study is to discuss if sensor-based noise mapping can be a proxy of particulate matter (PM) and permeability mapping. More precisely, the main objective of this study is to discuss conceptual analogies among noise, PM, and permeability mapping. Selected specimens were produced with and without crumb rubber.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"295 - 306"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45646618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Lokhande, Prashant F. Chopkar, Mohindra C. Jain, Alfaz Hirani
Abstract The strict enforcement of lockdown in India and worldwide to contain the spread of the COVID-19 pandemics has brought a signiicant change in the environmental quality, particularly in cities. The study deliberates an overview of the status of the ambient noise quality of the tier-2 city Bhandara, India, for lockdown and posts lockdown circumstances. In the course of lock-down, it is unfeasible to walk out with standard instruments for onsite noise monitoring with the conventional method in such adversity. Make use of the crowdsourcing approach proves to be the best alternative for collecting noise data with the help of an android-based noise application, łNoise Tracker.ž On assessing gathered data, it ascertained that the noise levels deplete by 8.0 dB during the lockdown. Results indicated that the average noise levels in more than 80% of the locations are lowered during lock-down compared to post lockdown in Bhandara City. A signiicant reduction in average noise levels at all sites during the lockdown period attributing to limiting in the road, rail, and other traic movements. The study is an exclusive example of ordinary people from tier-2 city indulging in environmental scientiic research. The study also visualizes the noise pollution scenario of lockdown and post lockdown periods using noise maps.
{"title":"Environmental noise assessment of Bhandara City in the adversity of COVID-19 pandemic: A crowdsourcing approach","authors":"S. Lokhande, Prashant F. Chopkar, Mohindra C. Jain, Alfaz Hirani","doi":"10.1515/noise-2021-0020","DOIUrl":"https://doi.org/10.1515/noise-2021-0020","url":null,"abstract":"Abstract The strict enforcement of lockdown in India and worldwide to contain the spread of the COVID-19 pandemics has brought a signiicant change in the environmental quality, particularly in cities. The study deliberates an overview of the status of the ambient noise quality of the tier-2 city Bhandara, India, for lockdown and posts lockdown circumstances. In the course of lock-down, it is unfeasible to walk out with standard instruments for onsite noise monitoring with the conventional method in such adversity. Make use of the crowdsourcing approach proves to be the best alternative for collecting noise data with the help of an android-based noise application, łNoise Tracker.ž On assessing gathered data, it ascertained that the noise levels deplete by 8.0 dB during the lockdown. Results indicated that the average noise levels in more than 80% of the locations are lowered during lock-down compared to post lockdown in Bhandara City. A signiicant reduction in average noise levels at all sites during the lockdown period attributing to limiting in the road, rail, and other traic movements. The study is an exclusive example of ordinary people from tier-2 city indulging in environmental scientiic research. The study also visualizes the noise pollution scenario of lockdown and post lockdown periods using noise maps.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"249 - 259"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48536519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Komal Kalawapudi, T. Singh, R. Vijay, Nitin Goyal, Rakesh Kumar
Abstract India is a country where every religion and community celebrates their culture. Festivals have an important role in Indian culture and are celebrated whole-heartedly by the citizens. Most of these celebrations culminate to causing pollution especially noise pollution due to festivities and rituals. One such festival is Ganesh Chaturthi or Ganeshotsav which is magnificently celebrated in Maharashtra state of India. In the present study, noise pollution levels during Ganeshotsav at famous community pandals in Mumbai city were monitored in the year 2020. Noise level data was analyzed based on indices such as L10, L50, L90, noise pollution level (LNP) and noise climate (NC). Comparison of noise levels was carried out for the collected data during Ganesh Chaturthi in the previous years of 2018 and 2019. The city witnessed simple festival celebration in eco-friendly manner leading to significant decrease in noise levels due to CoVID-19 pandemic. The pandemic situation is an eye-opener for the city administration with demonstration in reduction of noise pollution. Many aspects of the pandemic can be carried forward in making new guidelines and policies to curtail pollution and eco-friendly celebration of festivals.
{"title":"Effects of COVID-19 pandemic on festival celebrations and noise pollution levels","authors":"Komal Kalawapudi, T. Singh, R. Vijay, Nitin Goyal, Rakesh Kumar","doi":"10.1515/noise-2021-0006","DOIUrl":"https://doi.org/10.1515/noise-2021-0006","url":null,"abstract":"Abstract India is a country where every religion and community celebrates their culture. Festivals have an important role in Indian culture and are celebrated whole-heartedly by the citizens. Most of these celebrations culminate to causing pollution especially noise pollution due to festivities and rituals. One such festival is Ganesh Chaturthi or Ganeshotsav which is magnificently celebrated in Maharashtra state of India. In the present study, noise pollution levels during Ganeshotsav at famous community pandals in Mumbai city were monitored in the year 2020. Noise level data was analyzed based on indices such as L10, L50, L90, noise pollution level (LNP) and noise climate (NC). Comparison of noise levels was carried out for the collected data during Ganesh Chaturthi in the previous years of 2018 and 2019. The city witnessed simple festival celebration in eco-friendly manner leading to significant decrease in noise levels due to CoVID-19 pandemic. The pandemic situation is an eye-opener for the city administration with demonstration in reduction of noise pollution. Many aspects of the pandemic can be carried forward in making new guidelines and policies to curtail pollution and eco-friendly celebration of festivals.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"89 - 93"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41972702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In the issue of expanding noise levels the world over, road traffic noise is main contributor. The investigation of street traffic noise in urban communities is a significant issue. Ample opportunity has already passed to understand the significance of noise appraisal through prediction models with the goal that assurance against street traffic noise can be actualized. Noise predictions models are utilized in an increasing range of decision-making applications. This study’s main objective is to assess ambient noise levels at major arterial roads of Surat city, compare these with prescribed standards, and develop a noise prediction model for arterial roads using an Artificial Neural Network. The feed-forward back propagation method has been used to train the model. Models have been developed using the data of three roads separately, and one final model has also been developed using the data of all three roads. Among the prediction in three arterial roads, the predicted output result from the model of Adajan-Rander showed a better correlation with a mean squared error (MSE) of 0.789 and R2 value of 0.707. But with the combined model, there is a slight deterioration in mean squared value (MSE) 1.550, with R2 not getting changed much significantly, i.e., 0.755. However, the combined model’s prediction can be adopted due to the variety of data used in its training.
{"title":"Development of traffic noise prediction model for major arterial roads of tier-II city of India (Surat) using artificial neural network","authors":"Ramesh B. Ranpise, B. Tandel, Vivek A. Singh","doi":"10.1515/noise-2021-0013","DOIUrl":"https://doi.org/10.1515/noise-2021-0013","url":null,"abstract":"Abstract In the issue of expanding noise levels the world over, road traffic noise is main contributor. The investigation of street traffic noise in urban communities is a significant issue. Ample opportunity has already passed to understand the significance of noise appraisal through prediction models with the goal that assurance against street traffic noise can be actualized. Noise predictions models are utilized in an increasing range of decision-making applications. This study’s main objective is to assess ambient noise levels at major arterial roads of Surat city, compare these with prescribed standards, and develop a noise prediction model for arterial roads using an Artificial Neural Network. The feed-forward back propagation method has been used to train the model. Models have been developed using the data of three roads separately, and one final model has also been developed using the data of all three roads. Among the prediction in three arterial roads, the predicted output result from the model of Adajan-Rander showed a better correlation with a mean squared error (MSE) of 0.789 and R2 value of 0.707. But with the combined model, there is a slight deterioration in mean squared value (MSE) 1.550, with R2 not getting changed much significantly, i.e., 0.755. However, the combined model’s prediction can be adopted due to the variety of data used in its training.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"172 - 184"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46833253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Campos, Manuel José dos Santos Silva, Agostinho Rui Alves da Fonseca
Abstract Multipath effects occur when receiving a wave near a corner, for example, the noise of an helicopter or an aircraft or a drone or other forms of urban air mobility near a building, or a telecommunications receiver antenna near an obstacle. The total signal received in a corner consists of four parts: (i) a direct signal from source to observer; (ii) a second signal reflected on the ground; (iii) a third signal reflected on the wall; (iv) a fourth signal reflected from both wall and ground. The problem is solved in two-dimensions to specify the total signal, whose ratio to the direct signal specifies the multipath factor. The amplitude and phase of the multipath factor are plotted as functions of the frequency over the audible range, for various relative positions of observer and source, and for several combinations of the reflection coefficients of the ground and wall. It is shown that the received signal consists of a double series of spectral bands, in other words: (i) the interference effects lead to spectral bands with peaks and zeros; (ii) the successive peaks also go through zeros and “peaks of the peaks”. The results apply not only to sound, but also to other waves, e.g., electromagnetic waves using the corresponding frequency band and reflection factors.
{"title":"On the multipath effects due to wall reflections for wave reception in a corner","authors":"L. Campos, Manuel José dos Santos Silva, Agostinho Rui Alves da Fonseca","doi":"10.1515/noise-2021-0004","DOIUrl":"https://doi.org/10.1515/noise-2021-0004","url":null,"abstract":"Abstract Multipath effects occur when receiving a wave near a corner, for example, the noise of an helicopter or an aircraft or a drone or other forms of urban air mobility near a building, or a telecommunications receiver antenna near an obstacle. The total signal received in a corner consists of four parts: (i) a direct signal from source to observer; (ii) a second signal reflected on the ground; (iii) a third signal reflected on the wall; (iv) a fourth signal reflected from both wall and ground. The problem is solved in two-dimensions to specify the total signal, whose ratio to the direct signal specifies the multipath factor. The amplitude and phase of the multipath factor are plotted as functions of the frequency over the audible range, for various relative positions of observer and source, and for several combinations of the reflection coefficients of the ground and wall. It is shown that the received signal consists of a double series of spectral bands, in other words: (i) the interference effects lead to spectral bands with peaks and zeros; (ii) the successive peaks also go through zeros and “peaks of the peaks”. The results apply not only to sound, but also to other waves, e.g., electromagnetic waves using the corresponding frequency band and reflection factors.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"41 - 64"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47838901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arif Susanto, D. Setyawan, Firman Setiabudi, Y. M. Savira, A. Listiarini, E. K. Putro, A. F. Muhamad, J. C. Wilmot, D. Zulfakar, Prayoga Kara, Iting Shofwati, Sodikin Sodikin, M. Tejamaya
Abstract Monitoring workers’ exposure to occupational noise is essential, especially in industrial areas, to protect their health. Therefore, it is necessary to collect information on noise emitted by machines in industries. This research aims to map the noise from mechanized mineral ore industry using the kriging interpolation method, and ArcGIS 10.5.1 to spatially process and analyze data. The experimental calculation result of the semivariogram showed a 0.83 range value, with an essential parameter of 1.75 sill and a spherical total theoretical model. The result shows that the main machines with the highest power consumption and the Leq value are located in the southwest position of the sampled areas with a noise map-projected to assess the workers’ noise exposure level. In conclusion, the study found that the highest noise level was generated ranged from 88 to 97 dBA and contributed to the whole sound pressure level at certain positions.
{"title":"GIS-based mapping of noise from mechanized minerals ore processing industry","authors":"Arif Susanto, D. Setyawan, Firman Setiabudi, Y. M. Savira, A. Listiarini, E. K. Putro, A. F. Muhamad, J. C. Wilmot, D. Zulfakar, Prayoga Kara, Iting Shofwati, Sodikin Sodikin, M. Tejamaya","doi":"10.1515/noise-2021-0001","DOIUrl":"https://doi.org/10.1515/noise-2021-0001","url":null,"abstract":"Abstract Monitoring workers’ exposure to occupational noise is essential, especially in industrial areas, to protect their health. Therefore, it is necessary to collect information on noise emitted by machines in industries. This research aims to map the noise from mechanized mineral ore industry using the kriging interpolation method, and ArcGIS 10.5.1 to spatially process and analyze data. The experimental calculation result of the semivariogram showed a 0.83 range value, with an essential parameter of 1.75 sill and a spherical total theoretical model. The result shows that the main machines with the highest power consumption and the Leq value are located in the southwest position of the sampled areas with a noise map-projected to assess the workers’ noise exposure level. In conclusion, the study found that the highest noise level was generated ranged from 88 to 97 dBA and contributed to the whole sound pressure level at certain positions.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"1 - 15"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47921260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Baldinelli, F. Bianchi, D. Costarelli, F. D’Alessandro, Flavio Scrucca, Marco Seracini, G. Vinti
Abstract An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different noise sources which could be present in a multisource environment. A loss of precision is found when the effect of the high acoustic reflectivity ground interferes with the noise source.
{"title":"Innovative techniques for the improvement of industrial noise sources identification by beamforming","authors":"G. Baldinelli, F. Bianchi, D. Costarelli, F. D’Alessandro, Flavio Scrucca, Marco Seracini, G. Vinti","doi":"10.1515/noise-2021-0010","DOIUrl":"https://doi.org/10.1515/noise-2021-0010","url":null,"abstract":"Abstract An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different noise sources which could be present in a multisource environment. A loss of precision is found when the effect of the high acoustic reflectivity ground interferes with the noise source.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"129 - 137"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42483607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
data, observations and soundscape feedback. Two case studies gathered in the latter stage of full lockdown are presented in the paper to illustrate the changes in the environmental noise conditions relative to transport activity.
{"title":"Noise Mapping Special Issue: The noise climate at the time of SARS-CoV-2 Virus/COVID-19 Disease","authors":"F. Asdrubali, G. Brambilla","doi":"10.1515/noise-2021-0015","DOIUrl":"https://doi.org/10.1515/noise-2021-0015","url":null,"abstract":"data, observations and soundscape feedback. Two case studies gathered in the latter stage of full lockdown are presented in the paper to illustrate the changes in the environmental noise conditions relative to transport activity.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"204 - 206"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41648894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The term Movida takes its name from the evening and night life of the city for their liveliness and animation. During the Movida, noise is one of the problems in the city centers due to the negative effects on the resident population. This paper reports the effects of noise due to the Movida phenomenon within the city center in southern Italy. Along the roads affected by the Movida phenomenon, the values of sound levels in dBA were measured both with fixed stations with a sound level meter and with mobile stations by wearing a noise dosimeter a participant of Movida. The measured noise levels are between 85 dBA to 90 dBA. The noise levels show that the Movida phenomenon generates disturbing conditions on the resident population with consequent conflict between club managers, patrons and residents.
{"title":"Effects of nightlife noise in a city center","authors":"G. Iannace, A. Trematerra, Ilaria Lombardi","doi":"10.1515/noise-2021-0018","DOIUrl":"https://doi.org/10.1515/noise-2021-0018","url":null,"abstract":"Abstract The term Movida takes its name from the evening and night life of the city for their liveliness and animation. During the Movida, noise is one of the problems in the city centers due to the negative effects on the resident population. This paper reports the effects of noise due to the Movida phenomenon within the city center in southern Italy. Along the roads affected by the Movida phenomenon, the values of sound levels in dBA were measured both with fixed stations with a sound level meter and with mobile stations by wearing a noise dosimeter a participant of Movida. The measured noise levels are between 85 dBA to 90 dBA. The noise levels show that the Movida phenomenon generates disturbing conditions on the resident population with consequent conflict between club managers, patrons and residents.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"228 - 235"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44824359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Electric vehicles (EVs) are progressively entering into the current noisy urban ecosystem. Even though EVs are apparently quieter than traditional Internal Combustion Engine Vehicles (ICEVs), they have an impact on noise maps and road pavement designers should take this into consideration when designing future low-noise road pavements. Consequently, the main objective of this study is to define what are the most important aspects that road pavement designers should take into account. For this reason, in this paper, the noise emitted by EVs was analysed, considering parameters (e.g., speed and frequency) and comparisons, in order to identify crucial characteristics. Results show that EV noise could call for the improvement of pavement acoustic design due to the Acoustic Vehicle Alerting System (AVAS), high-frequency peaks, and noise vibration harshness.
{"title":"Electric vehicles diffusion: changing pavement acoustic design?","authors":"F. Praticò, R. Fedele","doi":"10.1515/noise-2021-0023","DOIUrl":"https://doi.org/10.1515/noise-2021-0023","url":null,"abstract":"Abstract Electric vehicles (EVs) are progressively entering into the current noisy urban ecosystem. Even though EVs are apparently quieter than traditional Internal Combustion Engine Vehicles (ICEVs), they have an impact on noise maps and road pavement designers should take this into consideration when designing future low-noise road pavements. Consequently, the main objective of this study is to define what are the most important aspects that road pavement designers should take into account. For this reason, in this paper, the noise emitted by EVs was analysed, considering parameters (e.g., speed and frequency) and comparisons, in order to identify crucial characteristics. Results show that EV noise could call for the improvement of pavement acoustic design due to the Acoustic Vehicle Alerting System (AVAS), high-frequency peaks, and noise vibration harshness.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"281 - 294"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42124299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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