Skip to main content

Research Repository

Advanced Search

Roadway traffic sound measured up on a high-rise building - the sound-level's statistical normality

Muaz, M.; Tang, S. K.; Lin, T. C.; Wong, K. T.; Ng, H. T.


M. Muaz

T. C. Lin

K. T. Wong

H. T. Ng


Percentile-value ceilings/thresholds have been mandated by governments around the world on roadway traffic sound-level. Such percentile values, by definition, change with the sound-level’s underlying probability distribution, i.e., the same percentile can imply different percentile values for different probability distributions. Whether the underlying probability distribution is Gaussian or not for the roadway traffic sound-level: contrary reports populate the open literature but such reports are typically weak in statistical rigor. This decades-long but ongoing debate will be surveyed comprehensively in this paper for the first time in the open literature. Then, this paper will present two new datasets measured in two separate evenings at exactly the same location up in a high-rise building, and will employ the Jarque-Bera hypothesis test to rigorously show that neither dataset is Gaussian.


Muaz, M., Tang, S. K., Lin, T. C., Wong, K. T., & Ng, H. T. (2022). Roadway traffic sound measured up on a high-rise building - the sound-level's statistical normality. IEEE Access, 10, 105031-105039.

Journal Article Type Article
Acceptance Date Aug 10, 2022
Online Publication Date Sep 5, 2022
Publication Date 2022
Deposit Date Nov 29, 2022
Publicly Available Date Nov 30, 2022
Journal IEEE Access
Electronic ISSN 2169-3536
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 10
Pages 105031-105039
Keywords Acoustic noises; Environmental noise; Soundscape; Transportation noise sources
Public URL


You might also like

Downloadable Citations