UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Prediction model of crowd noise in large waiting halls

Liu, Hongshan; Ma, Hui; Wang, Chao; Kang, Jian; (2022) Prediction model of crowd noise in large waiting halls. The Journal of the Acoustical Society of America , 152 (4) pp. 2001-2012. 10.1121/10.0014347. Green open access

[thumbnail of 10.0014347.pdf]
Preview
Text
10.0014347.pdf - Published Version

Download (3MB) | Preview

Abstract

Crowd noise is usually the primary noise in large waiting halls, and it is difficult to predict because it is influenced by several factors such as room acoustics and crowd characteristics. This study developed a crowd noise prediction model based on the superposition of direct and reverberant sound energy using the factors of the spatial layout of waiting halls, number and distribution of crowds, behavior ratio (ratio of vocal passengers to the total number of passengers), and average crowd sound power. To verify the model, on-site measurements were conducted in two large waiting halls to obtain the necessary input parameters. The crowd noise levels in one of the waiting halls were obtained from 1-s noise level data after excluding broadcast periods. A method for determining an individual's average sound power based on the model was also presented and found to be approximately 70.6 dB. Finally, the model was verified using measured data, and it showed that the model could accurately predict the average crowd noise level and changing trend of crowd noise in temporal and spatial dimensions with an average R-square of approximately 0.55 and average difference of approximately 1.1 dBA between the predicted and measured results.

Type: Article
Title: Prediction model of crowd noise in large waiting halls
Open access status: An open access version is available from UCL Discovery
DOI: 10.1121/10.0014347
Publisher version: https://doi.org/10.1121/10.0014347
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10157620
Downloads since deposit
99Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item