| Autor: |
Burge, Paul, Greer, Gayle, Muirhead, Matthew, Mahoney, Jessica |
| Předmět: |
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| Zdroj: |
INTER-NOISE & NOISE-CON Congress & Conference Proceedings; 2023, Vol. 266 Issue 2, p1-8, 8p |
| Abstrakt: |
The exercise of validating a predictive model typically consists of modeling an existing realworld condition and predicting some resulting quantity of interest, and then comparing the predicted results to actual measured values for the same condition within a specified margin of error. In the case of road traffic noise models this would include modeling the characteristics of the existing roadway condition (geometry of the roadway network; number, vehicle type and speed of vehicles using the roadways; pavement types; intervening terrain; etc.) and comparing the resulting predicted noise level to actual noise measurements for the same conditions. In this paper the authors will provide a concise background of the validation purpose and process as well as a review of agency requirements and best practices for traffic noise model validation procedures. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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