Manuscript Number : IJSRSET16233

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

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.

Authors and Affiliations

Dhvani Tandel
Civil Engineering Department, Parul Institute of Engineering & Technology, Vadodara, Gujarat, India
Prof.Seema Nihalani
Civil Engineering Department, Parul Institute of Engineering & Technology, Vadodara, Gujarat, India
Prof. N. B. Parmar
Civil Engineering Department, Parul Institute of Engineering & Technology, Vadodara, Gujarat, India

Noise, Noise Prediction Model, Noise Modeling

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 71-76
Manuscript Number : IJSRSET16233
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET16233

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