A model for predicting highway noise using a Geographic Information System: Interstate 73 in Guilford County, North Carolina

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Sean Michael Kelly (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Rick Bunch

Abstract: The purpose of this research is to develop a predictive model for estimating sound levels from a highway traffic source for a future highway. The study area for this research is the future Interstate 73 corridor from North Carolina highway 68 to U.S. Highway 220 in northwest Guilford County, North Carolina. The model uses a Geographic Information System to produce a raster map with a 10 meter resolution predicting decibel levels within a one mile buffer of the future interstate route. Sound levels are calculated using a Euclidean distance from the interstate in combination with an NLCD data set and a LiDAR derived digital elevation model. Significant increases in noise levels were predicted for three distinct traffic conditions. Sound levels were estimated to be noticeable from as great a distance of a mile from the proposed highway. As traffic volume is increased, the distance of noticeable noise is increased dramatically.

Additional Information

Language: English
Date: 2013
GIS, Highway, Model, Noise, Propagation, Sound
Traffic noise $x Forecasting
Express highways $x Design and construction

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