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Developing Road Traffic Noise Prediction Model for Different Categories of Roads in Vadodara City - A Review

Authors(3):

Dhvani Tandel, Prof. Seema Nihalani, Prof. N.B. Parmar
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Vehicular noise is one of the most prevalent forms of pollution. Traffic noise annoyance has become a major issue with the advent of fossil fuels and development in vehicle technology. Vehicular noise is dramatically increasing with the increased number of vehicle population, especially due to speeding vehicles. Amongst all the sources of noise pollution, vehicular noise has been identified as the most annoying and health impairing one. Therefore, it had become important to check the traffic noise and enhance the environmental condition along the transportation corridor. This study attempts the development of road traffic noise model for Indian condition. A statistical regression model for predicting road traffic noise is developed based on A-weighted equivalent noise levels.

Dhvani Tandel, Prof. Seema Nihalani, Prof. N.B. Parmar

Noise, Noise Prediction Model, Noise Modeling

  1. ANILA CYRIL,BINO I.KOSHY,  “Modelling Of Road Traffic Noise IJIRSET Volume 2,special issue 1,December 2013
  2. Prof. Baskar Govindraj ,Yugananth pachipappan ” Regression modeling for road traffic noise” published in gradevinar Dec12-2013
  3. T. Subramani.,M.Kavitha”Modelling Of Road Traffic Noise Pollution” IJERA Vol@,Issue3,may-june 2012
  4. Bhaven Tandel,Pratik Ruparel,Dr.Joel Macwan “Urban Corridor noise Pollution: A Case Study of Surat City,India” IPCBEE Volume 12(2011) IACSIT Press, Singapore

Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2016-02-29 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
415-417 IJSRSET1621118   Technoscience Academy

Cite This Article

Dhvani Tandel, Prof. Seema Nihalani, Prof. N.B. Parmar, "Developing Road Traffic Noise Prediction Model for Different Categories of Roads in Vadodara City - A Review", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.415-417, January-Febuary-2016.
URL : http://ijsrset.com/IJSRSET1621118.php

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