Fitting "bad urban" roadside motor traffic sound level to skewed distribution models

Muhammad Muaz; Shiu Keung Tang; Tsair Chuan Lin; H. T. Ng

Fitting "bad urban" roadside motor traffic sound level to skewed distribution models

Muhammad Muaz, Shiu Keung Tang, Tsair Chuan Lin, H. T. Ng

Research output: Contribution to conference › Conference Paper › peer-review

1 Scopus citations

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).

Original language	English
State	Published - 2017
Externally published	Yes
Event	46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong, China Duration: 27 08 2017 → 30 08 2017

Conference

Conference	46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017
Country/Territory	China
City	Hong Kong
Period	27/08/17 → 30/08/17

Bibliographical note

Publisher Copyright:
© 2017 Institute of Noise Control Engineering. All rights reserved.

Keywords

A-weighted sound pressure level
Akaike information criterion
Log-likelihood
Road traffic noise
Skewed probability distribution model

Cite this

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title = "Fitting {"}bad urban{"} roadside motor traffic sound level to skewed distribution models",

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).",

keywords = "A-weighted sound pressure level, Akaike information criterion, Log-likelihood, Road traffic noise, Skewed probability distribution model",

author = "Muhammad Muaz and Tang, {Shiu Keung} and Lin, {Tsair Chuan} and Ng, {H. T.}",

note = "Publisher Copyright: {\textcopyright} 2017 Institute of Noise Control Engineering. All rights reserved.; 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 ; Conference date: 27-08-2017 Through 30-08-2017",

year = "2017",

language = "英语",

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Fitting "bad urban" roadside motor traffic sound level to skewed distribution models. / Muaz, Muhammad; Tang, Shiu Keung; Lin, Tsair Chuan et al.
2017. Paper presented at 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017, Hong Kong, China.

Research output: Contribution to conference › Conference Paper › peer-review

TY - CONF

T1 - Fitting "bad urban" roadside motor traffic sound level to skewed distribution models

AU - Muaz, Muhammad

AU - Tang, Shiu Keung

AU - Lin, Tsair Chuan

AU - Ng, H. T.

PY - 2017

Y1 - 2017

N2 - 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).

AB - 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).

KW - A-weighted sound pressure level

KW - Akaike information criterion

KW - Log-likelihood

KW - Road traffic noise

KW - Skewed probability distribution model

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M3 - 论文

AN - SCOPUS:85042047436

T2 - 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017

Y2 - 27 August 2017 through 30 August 2017

ER -

Fitting "bad urban" roadside motor traffic sound level to skewed distribution models

Abstract

Conference

Bibliographical note

Keywords

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