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Title: Fitting "bad urban" roadside motor traffic sound level to skewed distribution models
Authors: Muaz, M 
Tang, SK 
Lin, TC
Ng, HT 
Keywords: A-weighted sound pressure level
Akaike information criterion
Road traffic noise
Skewed probability distribution model
Issue Date: 2017
Publisher: Institute of Noise Control Engineering
Source: INTER-NOISE 2017 - 46th International Congress and Exposition on Noise Control Engineering : Taming Noise and Moving Quiet, 27-30 Aug 2017, Hong Kong How to cite?
Abstract: Motor vehicular traffic sound data was collected in a "bad urban" neighborhood in Hong Kong, with the microphone placed at a window of a high-rise building overlooking the motor way. This sound-pressure level data is the one-second equivalent A-weighted sound pressure level L(Aeq,1sec). This data's histogram is fit to various skewed probability distributions, like the "generalized hyperbolic" family of distribution. The fit criteria are the "log likelihood" and the "Akaike Information Criterion" (AIC).
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