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http://dx.doi.org/10.12989/aer.2015.4.4.211

Highway traffic noise modeling and estimation based on vehicles volume and speed  

Rassafi, Amir Abbas (Department of Civil Engineering, Imam Khomeini International University)
Ghassempour, Jafar (Department of Civil Engineering, Imam Khomeini International University)
Publication Information
Advances in environmental research / v.4, no.4, 2015 , pp. 211-218 More about this Journal
Abstract
Traffic noise estimation models are useful in evaluation of the noise pollution in current circumstances. They are helpful tools for design and planning new roads and highways. Measurement of average traffic noise level is possible when traffic speed and volume are known. The objective of this study was to devise a model for prediction of highway traffic noise levels based on current traffic variables in Iran. The design of this model was to take the impact of traffic congestion into consideration and to be field tested. This study is a library research augmented by field study conducted on Saeedi Highway located south west of Tehran. The period for the field study lasted 5 days from 7-12 February, 2013. This study examined liner and non-liner methods in formulation of its model. Liner method without a fixed coefficient was the best fit for the intended model. The proposed model can serve as a decision making tool to estimate the impact of key influential factors on sound pressure levels in urban areas in Iran.
Keywords
noise modeling; highway; volume; speed;
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