Abstract
Traffic noise of 650 vehicles classified into 8 vehicle classes were measured in several locations within the Western Province of Sri Lanka in order to extract the necessary coefficients to develop a road traffic noise prediction model. The model was developed to predict the traffic noise generated from free-flowing vehicles in roadways. Traffic flow data used for constructing this model was limited to vehicle noise, vehicle class, vehicle speed and the distance from the traffic flow line. It is shown that the predictions can be made within ±11 dB(A) accuracy with respect to the actual experimental observations. Microsoft.Net (R)platform was used for the development of the traffic simulator based on the model parameters.
Highlights
The highly industrialized living style of modern societies had produced a dramatic impact on the environment
In a developing country such as Sri Lanka, not much attention has been paid to health hazards due to environment noise
Fitting a general noise model to the noise measurement data requires knowing the equation of the function that describes the variation of noise levels withdependent variables a n d initial estimation of the model coefficients
Summary
The highly industrialized living style of modern societies had produced a dramatic impact on the environment. The major contributor to the environment noise is the road traffic. The traffic noise is not usually loud enough to cause hearing problems, continuous exposure to unacceptable noise levels can create depression, sleep disturbance, annoyance and adverse health effects [1]. In a developing country such as Sri Lanka, not much attention has been paid to health hazards due to environment noise. The standards for the environment noise is well established [2,3,4,5], with the increasing traffic volume and frequent traffic congestion on urban roads, attention has often been paid to improve the traffic congestion rather than to arrest the noise pollution. Independent research studies related to traffic noise pollution in Sri Lanka is scarce in literature
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