The statistical modeling of road traffic noise in an urban setting

Calixto, Alfredo; Diniz, Fabiano B.; Zannin, Paulo Henrique Trombetta

doi:10.1016/s0264-2751(02)00093-8

Cited by 119 publications

(78 citation statements)

References 7 publications

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“…Essa é uma situação recorrente, como já observado por Calixto et al (2003). Nas medições realizadas, a energia sonora obtida foi superior a 60 dB(A) a 15 m de distância da via, superando em 5 dB(A) o critério para áreas de ocupação mista e em 10 dB(A) o critério de áreas de ocupação residencial, de acordo com a NBR 10151 (2000).…”

Section: Resultados E Análiseunclassified

A eficiência de algoritmos matemáticos para avaliação do ruído urbano

Brito

Carvalho

Toledo

2018

urbe, Rev. Bras. Gest. Urbana

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ResumoA paisagem sonora das cidades, sejam de médio ou grande porte, em algumas situações específicas pode não ser favorável ao conforto da população e até mesmo para sua saúde. O tráfego de veículos é uma das principais causas dessa condição, fato agravado pelo descontrole da ocupação urbana, que vem eliminando recuos frontais, praças e jardins, que possibilitariam uma maior dispersão da energia sonora. O planejamento urbano requer ferramentas que lhe permitam estimar a emissão de energia sonora de vias de tráfego. No mercado existem softwares comerciais que fazem tal previsão, mas possuem um custo elevado. A opção é a utilização de algoritmos matemáticos disponíveis na literatura, sem custo, mas que foram desenvolvidos para uma realidade diferente da brasileira. O objetivo deste trabalho é avaliar a precisão desses algoritmos para a realidade brasileira. Para isso foram executadas medidas de nível de pressão sonora em uma via de tráfego. Durante as medições foi realizada a contagem do fluxo de veículos, para alimentar os algoritmos selecionados e assim comparar o valor medido e o simulado. O resultado indica que há uma boa correlação nos valores obtidos, mas o ruído emitido pelos veículos em circulação precisa ainda ser melhor estudado para se buscarem resultados mais precisos. Palavras-chave:

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Section: Resultados E Análiseunclassified

A eficiência de algoritmos matemáticos para avaliação do ruído urbano

Brito

Carvalho

Toledo

2018

urbe, Rev. Bras. Gest. Urbana

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“…Beside the air pollution, road-traffic noise is one of the major environmental stress factors. The road traffic is not only the most annoying noise source in urban environments but also it is a concern for public health and environmental welfare [CALIXTO et al 2003;KASSOMENOS et al 2014]. Apart from direct emissions of pollutants from vehicles also maintenance of roads causes pollution by substances, which can strongly affect some of environmental components.…”

Section: Introductionmentioning

confidence: 99%

Urban planning solutions in the context of dispersion of road pollution

Jakubiak

Urbański

2016

Journal of Water and Land Development

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Dense road network change the landscape as well as in many different ways affect the environment and living organisms. The works on reducing the exposures to traffic pollutants carried out all around the world. In the last decade, noise barriers in large numbers began to appear along the main streets and became a common feature of urban architecture in Poland. Besides being barriers to the spread of the noise on the neighboring areas these constructions might also contribute to reducing the spread of air pollution, especially road dust particles with associated trace metals (Cd, Cu, Mn, Ni, Pb, Zn).The aim of the study described in the article was to examine if the extent to which "green walls" noise barriers and transparent acrylic-glass noise barriers located along roads can contribute to a change in the spread of trace elements from the road traffic to outside of the road area. Toxic metals which occur in road dust in significant concentrations (Cu, Fe, Mn, Pb and Zn) were selected and their concentrations in soil samples were examined. The samples were collected at close vicinity of the road edge in an open area as well as in an area with noise barriers.

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“…Steele (2001), Rajakumara and Mahalinge Gowda (2008) presented detailed review of various noise prediction models including above mentioned models. Several attempts have been made to predict and model road traffic noise statistically by different researchers (Calixto et al 2003;AboQudais and Alhiary 2007). These models are based on theoretical factors that are applicable based on statistical relationships and on macroscopic traffic variables such as traffic flow and average speed.…”

Section: Introductionmentioning

confidence: 99%

Optimized height of noise barrier for non-urban highway using artificial neural network

Kumar

Parida

Katiyar

2013

Int. J. Environ. Sci. Technol.

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This study applies artificial neural network (ANN) for the determination of optimized height of a highway noise barrier. Field measurements were carried out to collect traffic volume, vehicle speed, noise level, and site geometry data. Barrier height was varied from 2 to 5 m in increments of 0.1 m for each measured data set to generate theoretical data for network design. Barrier attenuation was calculated for each height increment using Federal Highway Administration model. For neural network design purpose, classified traffic volume, corresponding traffic speed, and barrier attenuation data have been taken as input parameters, while barrier height was considered as output. ANNs with different architectures were trained, cross validated, and tested using this theoretical data. Results indicate that ANN can be useful to determine the height of noise barrier accurately, which can effectively achieve the desired noise level reduction, for a given set of traffic volume, vehicular speed, highway geometry, and site conditions.

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The statistical modeling of road traffic noise in an urban setting

Cited by 119 publications

References 7 publications

A eficiência de algoritmos matemáticos para avaliação do ruído urbano

A eficiência de algoritmos matemáticos para avaliação do ruído urbano

Urban planning solutions in the context of dispersion of road pollution

Optimized height of noise barrier for non-urban highway using artificial neural network

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