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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/4590
Title: Optimized height of noise barrier for non-urban highway using artificial neural network
Authors: Kumar K.
Parida, Manoranjan
Katiyar V.K.
Published in: International Journal of Environmental Science and Technology
Abstract: This study applies artificial neural network (ANN) for the determination of optimized height of a highway noise barrier. Field measurements were carried out to collect traffic volume, vehicle speed, noise level, and site geometry data. Barrier height was varied from 2 to 5 m in increments of 0.1 m for each measured data set to generate theoretical data for network design. Barrier attenuation was calculated for each height increment using Federal Highway Administration model. For neural network design purpose, classified traffic volume, corresponding traffic speed, and barrier attenuation data have been taken as input parameters, while barrier height was considered as output. ANNs with different architectures were trained, cross validated, and tested using this theoretical data. Results indicate that ANN can be useful to determine the height of noise barrier accurately, which can effectively achieve the desired noise level reduction, for a given set of traffic volume, vehicular speed, highway geometry, and site conditions. ¬© 2013 Islamic Azad University (IAU).
Citation: International Journal of Environmental Science and Technology(2014), 11(3): 719-730
URI: https://doi.org/10.1007/s13762-013-0257-5
http://repository.iitr.ac.in/handle/123456789/4590
Issue Date: 2014
Publisher: Center for Environmental and Energy Research and Studies
Keywords: Attenuation
Central pollution control board
Federal highway administration
Traffic
ISSN: 17351472
Author Scopus IDs: 55578633100
8963649200
6603690424
Author Affiliations: Kumar, K., Department of Mathematics, Indian Institute of Technology, Roorkee, 247667, India
Parida, M., Department of Civil Engineering, Indian Institute of Technology, Roorkee, 247667, India
Katiyar, V.K., Department of Mathematics, Indian Institute of Technology, Roorkee, 247667, India
Corresponding Author: Kumar, K.; Department of Mathematics, Indian Institute of Technology, Roorkee, 247667, India; email: kranti31lu@gmail.com
Appears in Collections:Journal Publications [CE]

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