TITLE:
A Study of Noise & Development of Traffic Noise Annoyance Models
AUTHORS:
Syed Aqeel Ahmad, P. K. Sarkar, Hom Nath Dhungana
KEYWORDS:
Noise Annoyance, Regression Models, Reliability & Validity, Equivalent Noise Level & Traffic Volume
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.5 No.4,
August
25,
2015
ABSTRACT: Although noise annoyance is a major public health problem in urban areas, noise problem is still a great challenge for both public and transportation planners. The quantitative study of traffic noise and its relationship with annoyance & traffic volume was discussed in the paper and at the same time we tried to develop new statistical regression models to relate them. In the present study we also tried to fit different regression models such as Log-Linear, Linear, Log-Log Linear and Quadratic over noise data and decided which model fitted the best by using mathematics of principle of maxima & minima. After the identification of best fit curve we use this to fit our data. The aim of the study was to assess the predictive value of various factors on noise annoyance in noisy and quiet urban streets of New Delhi, capital of India.