Development of a traffic noise prediction model for an urban environment

The objective of this study is to develop a traffic noise model under diverse traffic conditions in metropolitan cities. The model has been developed to calculate equivalent traffic noise based on four input variables i.e. equivalent traffic flow (Q e ), equivalent vehicle speed (S e ) and distance...

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Bibliographic Details
Published in:Noise & health 2014-01, Vol.16 (68), p.63-67
Main Authors: Sharma, Asheesh, Bodhe, G, Schimak, G
Format: Article
Language:English
Subjects:
Analysis
Automobiles
Cities
Correlation coefficient
Diverse traffic conditions
Environmental Monitoring - methods
honking
Metropolitan areas
Models, Theoretical
Noise levels
Noise, Transportation
prediction
Prediction models
Regression Analysis
statistical analyses
Traffic congestion
Traffic noise
Transportation noise
Urban environments
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Summary:The objective of this study is to develop a traffic noise model under diverse traffic conditions in metropolitan cities. The model has been developed to calculate equivalent traffic noise based on four input variables i.e. equivalent traffic flow (Q e ), equivalent vehicle speed (S e ) and distance (d) and honking (h). The traffic data is collected and statistically analyzed in three different cases for 15-min during morning and evening rush hours. Case I represents congested traffic where equivalent vehicle speed is 30 km/h and case III represents calm traffic where no honking is recorded. The noise model showed better results than earlier developed noise model for Indian traffic conditions. A comparative assessment between present and earlier developed noise model has also been presented in the study. The model is validated with measured noise levels and the correlation coefficients between measured and predicted noise levels were found to be 0.75, 0.83 and 0.86 for case I, II and III respectively. The noise model performs reasonably well under different traffic conditions and could be implemented for traffic noise prediction at other region as well.
ISSN:1463-1741
1998-4030
DOI:10.4103/1463-1741.127858