Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm
Joint Authors
An, Deok-Soon
Mun, Sungho
Ohm, Byung-Sik
Suh, Young-Chan
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-06
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A technique has been developed for predicting road traffic noise for environmental assessment, taking into account traffic volume as well as road surface conditions.
The ASJ model (ASJ Prediction Model for Road Traffic Noise, 1999), which is based on the sound power level of the noise emitted by the interaction between the road surface and tires, employs regression models for two road surface types: dense-graded asphalt (DGA) and permeable asphalt (PA).
However, these models are not applicable to other types of road surfaces.
Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS) algorithm.
Traffic noise measurement data for four different vehicle types were used in the algorithm to determine the regression parameters for several road surface types.
The parameters of the traffic noise prediction models were evaluated using another measurement set, and good agreement was observed between the predicted and measured sound power levels.
American Psychological Association (APA)
An, Deok-Soon& Suh, Young-Chan& Mun, Sungho& Ohm, Byung-Sik. 2013. Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-511073
Modern Language Association (MLA)
An, Deok-Soon…[et al.]. Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm. Journal of Applied Mathematics No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-511073
American Medical Association (AMA)
An, Deok-Soon& Suh, Young-Chan& Mun, Sungho& Ohm, Byung-Sik. Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-511073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511073