PERFORMANCE EVALUATION OF NOISE PREDICTION MODEL

Abstract

Development of transportation has greatly affected the development of the modern world and development of transport systems has produced both the economic and social benefits to the mankind; however it has polluted the environment too. Studies have shown that motor vehicles operating on highways constitute one of the major sources of noise. In this dissertation, FHWA TNM Model is used for highway noise prediction and analysis. FHWA TNM calculates noise emission level for five categories of vehicles. For this data has been collected at eight highway locations, in these four locations have data of twenty-four hours and other four locations have night twelve hours' data. And using this, observed data has been compared with predicted data using FHWA TNM. And it was observed that FHWA TNM Model has been giving good results and it can be applied for Indian environment and the maximum deviation of 5-8 dB(A). In addition, parametric analysis has been done on the data by banning trucks and banning cars. And it was observed that noise level has been decreasing up to 3-5 dB(A) for trucks and 1-2dB(A) for cars.