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: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationINTER-NOISE 2017 - 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet
PublisherInstitute of Noise Control Engineering
Publication statusPublished - 1 Jan 2017
Event46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong Convention and Exhibition Centre (HKCEC), Hong Kong, Hong Kong
Duration: 27 Aug 201730 Aug 2017

Conference

Conference46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017
Country/TerritoryHong Kong
CityHong Kong
Period27/08/1730/08/17

Keywords

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

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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