A model for predicting highway noise using a geographic information system: Interstate 73 in Guilford County, North Carolina

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.