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Regression modelling of traffic noise pollution
Noise is distinctive in comparison to pollutants like air, water and soil. It does not leave any residual evidence that would serve as a continuing reminder of its unpleasantness. Models like FHWA, CORTN, STOP and GO are used for traffic noise prediction in the US, UK, and Bangkok, respectively. But so far, no definite model has been developed for Indian road conditions. A new road traffic noise prediction model for uninterrupted four-lane Indian roads, developed using the regression analysis, is presented in this paper. This model can be effectively used as a decision-supporting tool for road traffic noise prediction on Indian roads.
Regression modelling of traffic noise pollution
Noise is distinctive in comparison to pollutants like air, water and soil. It does not leave any residual evidence that would serve as a continuing reminder of its unpleasantness. Models like FHWA, CORTN, STOP and GO are used for traffic noise prediction in the US, UK, and Bangkok, respectively. But so far, no definite model has been developed for Indian road conditions. A new road traffic noise prediction model for uninterrupted four-lane Indian roads, developed using the regression analysis, is presented in this paper. This model can be effectively used as a decision-supporting tool for road traffic noise prediction on Indian roads.
Regression modelling of traffic noise pollution
Yugananth Pachiappan (author) / Baskar Govindaraj (author)
2013
Article (Journal)
Electronic Resource
Unknown
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