@article {Burge:2023:0736-2935:588,
title = "Requirements and best practices for traffic noise model validation",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2023",
volume = "266",
number = "2",
publication date ="2023-05-25T00:00:00",
pages = "588-595",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2023/00000266/00000002/art00061",
doi = "doi:10.3397/NC_2023_0086",
author = "Burge, Paul and Greer, Gayle and Muirhead, Matthew and Mahoney, Jessica",
abstract = "The exercise of validating a predictive model typically consists of modeling an existing real-world 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.",
}