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Developing Road Traffic Noise Prediction Model for Different Categories of Roads In Vadodara City

Authors(3):

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

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  3. Anila Cyril, Bino I.Koshy “Modelling of Road Traffic Noise” IJIRSET Volume 2, special issue1, December 2013
  4. T.Subramani, M.Kavitha, K.P.Sivaraj “Modelling of road traffic Noise Pollution”IJERA,Vol2,issue3,may-jun 2012,pp31-3182
  5. N.Garg, S.k.Mangal, P.Dhiman “A multiple regression model for urban traffic noise in Delhi” Volume 10, 2014 edition

Publication Details
Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
71-76 IJSRSET16233   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", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.71-76, May-June-2016.
URL : http://ijsrset.com/IJSRSET16233.php