Design of a Noise Action Plan based on a Road Traffic Noise Map

2011 ◽  
Vol 97 (3) ◽  
pp. 492-502 ◽  
Author(s):  
M. Ausejo ◽  
M. Tabacchi ◽  
M. Recuero ◽  
C. Asensio ◽  
R. Pagán ◽  
...  
Keyword(s):  
Road Traffic ◽  
Action Plan ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Map

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

2011 ◽  
Vol 97 (5) ◽  
pp. 761-768 ◽  
Author(s):  
M. Ausejo ◽  
M. Recuero ◽  
C. Asensio ◽  
I. Pavón
Keyword(s):  
Input Data ◽  
Road Traffic ◽  
Traffic Noise ◽  
Traffic Model ◽  
Road Traffic Noise ◽  
Noise Emission ◽  
The Road ◽  
Palma De Mallorca ◽  
Two Phases ◽  
Noise Map

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

scholarly journals Statistical Road-Traffic Noise Mapping Based on Elementary Urban Forms in Two Cities of South Korea

2021 ◽  
Vol 13 (4) ◽  
pp. 2365
Author(s):  
Phillip Kim ◽  
Hunjae Ryu ◽  
Jong-June Jeon ◽  
Seo Il Chang
Keyword(s):  
Urban Form ◽  
Road Traffic ◽  
Traffic Noise ◽  
Ordinary Least Squares ◽  
Urban Morphology ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Essential Information ◽  
Urban Forms ◽  
Noise Map

Statistical models that can generate a road-traffic noise map for a city or area where only elementary urban design factors are determined, and where no concrete urban morphology, including buildings and roads, is given, can provide basic but essential information for developing a quiet and sustainable city. Long-term cost-effective measures for a quiet urban area can be considered at early city planning stages by using the statistical road-traffic noise map. An artificial neural network (ANN) and an ordinary least squares (OLS) model were developed by utilizing data on urban form indicators, based on a 3D urban model and road-traffic noise levels from a normal noise map of city A (Gwangju). The developed ANN and OLS models were applied to city B (Cheongju), and the resultant statistical noise map of city B was compared to an existing normal road-traffic noise map of city B. The urban form indicators that showed multi-collinearity were excluded by the OLS model, and among the remaining urban forms, road-related urban form indicators such as traffic volume and road area density were found to be important variables to predict the road-traffic noise level and to design a quiet city. Comparisons of the statistical ANN and OLS noise maps with the normal noise map showed that the OLS model tends to under-estimate road-traffic noise levels, and the ANN model tends to over-estimate them.

Road Traffic Noise Prediction Model

2012 ◽  
Vol 3 (4) ◽  
pp. 110-112
Author(s):  
Rahul Singh ◽  
◽  
Parveen Bawa ◽  
Ranjan Kumar Thakur
Keyword(s):  
Prediction Model ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction

SPEED DISTRIBUTION INFLUENCE IN ROAD TRAFFIC NOISE PREDICTION

2013 ◽  
Vol 12 (3) ◽  
pp. 493-501 ◽  
Author(s):  
Gerardo Iannone ◽  
Claudio Guarnaccia ◽  
Joseph Quartieri
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
Speed Distribution

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Herni Halim ◽  
◽  
Nur Fatin Najiyah Hamid ◽  
Mohamad Firdaus Mahamad Yusob ◽  
Nur Atiqah Mohamad Nor ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Different Types
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