INFLUENCE OF REGRESSION EQUATION IN TRAFFIC NOISE POLLUTION PREDICTION MODEL – A CASE STUDYPRABA M. AND N. K. RAJAN
Noise pollution is the excessive sound that can have adverse effects on human health, animals and environmental quality. Traffic noise is the combined sound energy originating from motor vehicle. It consists chiefly of road surface, engine/transmission, tire, aerodynamic and braking elements. India is the developing nation where transportation sector is growing rapidly at over 7.50% per annum and level of pollution by vehicles on Indian roads is growing at a very fast rate. Country having a population of 1.3 billion which let to overcrowded roads and increase in traffic noise level. The aim of this study is to build a traffic noise prediction model for the areas to predict noise levels due to road traffic. The prediction model is prepared by conducting a survey on volume count, noise levels and spot speed in the study area for achieving the objective of study. As observed when the noise generated the vehicle are normally in linear form along the roads. Hence roads were taken for the study purpose. The study data are collected by fixing three study locations. Prediction model is developed for each road stretch separately. The study shows noise level between 60dB to 85 dB along the road side and level of sound in that specific area has good range until noise level goes above 80dB is heard. The significant steps should be taken to overcome the growing traffic noise pollution.