One of the most difficult and expensive tasks in making noise pollution maps is the collection and processing of the data needed to create acousticmodels. In the case of road traffic noise maps, obtaining speed data for light and heavy vehicles a problem that has usually been avoided by using a roadÆs speed limit or by making assumptions based on experience from similar road types. Here global positioning systems-based techniques are applied for acquiring vehicle speed data and adapted to fulfill the requirements of noise prediction models. (A) Reprinted with permission from Elsevier.
Samenvatting