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FHWA Noise Prediction Model
All traffic noise calculations in the Appalachian corridor H noise study were performed using FHWA and WVDOH approved models and methodology.

For most of the locations in the study area, traffic noise predictions were performed using the FHWA approved STAMINA 2.0 highway noise prediction modes, derived from the FHWA Highway Traffic noise Prediction Model (FHWA-FD-77-108.) The noise modeling accounted for such factors as soft/hard ground, elevated and depressed roadway sections, shielding from local terrain, traffic speed and hourly traffic volumes, including percentages of automobiles, medium trucks and heavy trucks.

The STAMINA 2.0 highway noise prediction model has been in use throughout the United States and Canada for many years and has been found to be quite accurate. When compared with actual measured noise levels, the model tend to predict levels equal to or slightly higher than the measured (0 to about 2 dB) when differences are averaged over several noise receptor sites.

In 1998, the FHWA released its new generation of highway traffic noise prediction modeling called the Traffic Noise Model or TNM. TNM is entirely new, state-of-the-art, computer program that uses advances in personal computer hardware and software to improve upon the accuracy and modeling of traffic-generated highway noises. TNM is designed to eventually replace the FHWA's prior pair of computer programs, STAMINA 2.0/OPTIMA. TNM has the ability to model both constant and interrupted traffic flows. It can also account for the effect of roadway grades on vehicle acceleration and the deceleration of heavy trucks on highway upgrades. TNM takes into account such factors as atmospheric absorption, sound divergence, acoustical characteristics, the type and topography of the intervening ground, rows of buildings and areas of vegetation when modeling.

The TNM 1.0a has also been used to model the effects of traffic noise from the proposed Appalachian Corridor H highway system. The avoidance alternative for the Middle South Bend Valley Rural Historic District and U.S. Route 220 within the historic district were both examined using the TNM 1.0a computer program.
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