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Paper Title
Mathematical Modeling For The Prediction Of Road Traffic Noise Levels In Tirupati Town
  Gollamandla Sukeerth,  Dr. N.Munilakshmi,  Chammireddy Anilkumarreddy

Noise can have negative impact on health. Hearing damage, annoyance, sleep disturbance, high blood pressure, poor cardiovascular health is all linked to community noise. Children, people with existing physical and mental illness and elderly people are most susceptible to community noise. High level of noise from sources such as busy traffic can adversely affect the health of the people living near road highways. It is therefore desirable to model a road traffic noise that predicts well the traffic noise near highways so that the people living near highways who are highly exposed by everyday traffic noise can be protected from noise exposure to some extent . Measurement of noise level ( dB(A) ) by noise analyzer will be conducted on road segment of Tirupati town at different locations. In the present paper a road traffic noise prediction model for Indian conditions is developed using regression analysis which is based on Microsoft Excel. Data collected has been analyzed and compared with the values predicted by analytical models . After comparison of results it was observed that Developed Model could be satisfactorily applied for Tirupati town conditions as they give accepted results with a good value.

Keywords- Traffic noise pollution, Traffic volume, octave band analyzer, Regression Analysis
Publication Details
Unique Identification Number - IJEDR1702326
Page Number(s) - 2091-2098
Pubished in - Volume 5 | Issue 2 | June 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Gollamandla Sukeerth,  Dr. N.Munilakshmi,  Chammireddy Anilkumarreddy,   "Mathematical Modeling For The Prediction Of Road Traffic Noise Levels In Tirupati Town", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.2091-2098, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702326.pdf
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