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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)


Article Title: Road Traffic Noise Prediction Model for Makurdi Metropolis, Nigeria
by G.D. Akpen, J.T. Utsev and R. Ekom

Road traffic noise prediction models are required as aids in the design of roads and sometimes in the assessment of existing, or envisaged changes in, traffic noise conditions. Little information is however available on road traffic noise prediction models in the study area. The purpose of this study is therefore, to develop a road traffic noise prediction model for Makurdi metropolis. Ten locations were selected and data collected at three different periods of the day. A noise level meter was used to measure road traffic noise level at distances of 6, 9 and 12 m from the edge of the road shoulder from October, 2015 through March, 2016. Data collected were subjected to multiple regression analysis using SPSS version 20. A Model was developed for the prediction of road traffic noise with coefficient of determination, R2, value of 0.903. Results obtained showed that road traffic noise levels in all the locations and the various distances exceeded the World Health Organization (WHO) recommended maximum permissible limit of 70 dB by 0.73- 3.09 dB. The single factor ANOVA and Chi-squared test performed on the developed model agreed with the high R2 value obtained; implying that the model is reliable for the prediction of road traffic noise level in the study area. It is recommended that the developed model should be used for forecasting of road traffic noise for physical planning and design purposes in the study area.
Keywords: road, traffic noise, model, prediction, makurdi metropolis
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom



Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010