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Artificial Neural Network Modelling of Traffic Noise in Agra-Firozabad Highway

by Jyoti Kumar Arora, Ponnala Vimal Mosahari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 2
Year of Publication: 2012
Authors: Jyoti Kumar Arora, Ponnala Vimal Mosahari
10.5120/8861-2824

Jyoti Kumar Arora, Ponnala Vimal Mosahari . Artificial Neural Network Modelling of Traffic Noise in Agra-Firozabad Highway. International Journal of Computer Applications. 56, 2 ( October 2012), 6-10. DOI=10.5120/8861-2824

@article{ 10.5120/8861-2824,
author = { Jyoti Kumar Arora, Ponnala Vimal Mosahari },
title = { Artificial Neural Network Modelling of Traffic Noise in Agra-Firozabad Highway },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 2 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number2/8861-2824/ },
doi = { 10.5120/8861-2824 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:49.413051+05:30
%A Jyoti Kumar Arora
%A Ponnala Vimal Mosahari
%T Artificial Neural Network Modelling of Traffic Noise in Agra-Firozabad Highway
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 2
%P 6-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The noise is a major environmental hazard at present. It causes hearing problem, tinnitus, high blood pressure, mental depression, heart palpitation etc. Noise is a usual problem everywhere and involves high health risk, but in today's fast life we ignore its harmful consequences and it results in high health risk having long term effect. From past few decades there has been a lot of research in this area but still it is a major challenge to minimize the effect due to noise and even more difficult is to predict. It becomes necessary that we design our habitats and surroundings in a way that it is noise absorbent and the noise effects on us stays minimum. Hence it becomes necessary that we assess the noise that would be generated from various sources, to aid an effective habitat design to combat this hazard. Modelling is an important tool to model and predict noise. Modelling and prediction using various mathematical methods have been done in the past, but ANN is a tool which is more effective in a complex linear and non-linear large scale problem. In this present work single layer Artificial Neural Network (ANN) modelling of noise due to road traffic in Agra-Firozabad highway has been done. 95 data set has been used by measuring the noise intensity across various points along the Agra-Firozabad Highway (most busy highway in Agra) at regular interval of distance. In the ANN model, series of experiments resulted into the performance evaluation, considering 20% data for testing and 20% data for cross validation at 1500 Epoch with 0. 70momentum. The Levenberg-Marquardt algorithm (LMA) was found as the best of BP algorithms with a minimum mean squared error for training (MSE) and cross validation.

References
  1. Kumar, S. 2004. Neural Networks: A Classroom Approach. The Mc-Graw Hill Companies
  2. Bousscibine A. H. 1997. "Artificial neural networks for predicting Noise from construction sites". Bldg. Acoustics. 4(3):211-221.
  3. Chan H. , Namdev A. , Bell M. "Classification of Roaf Traffic and Road Side Pollution Concentrating for Assessment of Personal Exposure". Journal of Science Direct 23 (2008), PP. -282-287.
  4. Roadknight C. M. , Balls G. R. , Mills G. E. & Palmer-Brown D. "Modeling Complex Environmental Data" IEEE Transactions of Neural Networks Vol. 8. Month July 1997.
  5. Brown A. L. and Mcdonald G. T. (2003) "Environmental Impact to Environmental Management 2", Australian Journal of Environmental Management 2. pp 65-77
  6. Gilbert D. "Noise from Road Traffic" (1976). Journal of Sound and Vibration 51 (2), pp. 171-181.
  7. Arora J. K. , Singh S. P. (2011). "ANN Modelling of Road Traffic Noise for Environment Impact Assessment". International Conference on Agile Manufacturing 2011.
  8. K. R. Raj, A. Kardam, J. K. Arora, M. M. Srivastava and S. Srivastava, (2010) "Neural Network modeling for Ni (II) removal from aqueous system using shelled Moringa oleifera seed powder as an agricultural waste". J. Water Resource and Protection, vol. 2, pp. 332-339.
  9. A. Kardam, K. R. Raj, J. K. Arora, M. M. Srivastava and S. Srivastava, (2010) "Artificial Neural Network Modeling for Sorption of Cadmium from Aqueous System by Shelled Moringa Oleifera Seed Powder as an Agricultural Waste". J. Water Resource and Protection, vol. 2, pp. 339-344.
  10. Gardner, M. W. and Dorling, S. R. (1998). "Artificial neural networks (the multi layer perception)-. A Review of Applications in the Atmospheric sciences". Atmospheric environment. 32(14/15): 2627-2636.
  11. Cho D. S. and Mun S. (2008). "Development of a highway traffic noise prediction model that considers various road surface types". Applied Acoustics 69 (11) PP 1120-1128.
  12. Calixto A, Dinitz FB and Zannin PHT (2003). "The statistical modeling of road traffic noise in an urban setting cities "20 (1) PP 23-29.
  13. A. Kardam, K. R. Raj, J. K. Arora, S. Srivastava, (2010) "Neural Network prediction of the effect of Selenium on the reduction of plant uptake of Cadmium". Nat. l Acad. Sci. Lett, vol. 33 (3- 4), pp. 83-87.
  14. K. R. Raj, A. Kardam, J. K. Arora and S. Srivastava, (2010) "Artificial Neural Network (ANN) design for Hg–Se interactions and their effect on reduction of Hg uptake by radish plant". J Radioanal Nucl Chem. , vol. 283, pp. 797-801.
  15. Sharma N. , Chaudary K. K. , Chalapati Rao C. V. "Vehicular Pollution Modelling using Artificial Neural Network Technique: A Review". Journal of Scientific & Industrial research Vol. 64 Sept. 2005 PP 637-647.
  16. Cirianni F. , Leonardi G. "Environmental Modelling for Traffic Noise in Urban Area". American journal of Environmental Science 2012. 8147. PP 345-351
Index Terms

Computer Science
Information Sciences

Keywords

Variable Traffic Flow Traffic Speed Back Propagation Algorithm Noise Pollution

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