Original paper
Modelling traffic noise in a wide gradient interval using artificial neural networks
Abstract
As classical traffic noise prediction models lack a deeper consideration of the impact of the gradient, the characteristics of longitudinal gradients from multiple roads were collected as data in the mountain city of Chongqing county, which was chosen as the entry point, to study the noise characteristics for a wide range of road gradients and to build a traffic noise prediction model based on artificial neural networks (ANNs). The field data...
Paper Details
Title
Modelling traffic noise in a wide gradient interval using artificial neural networks
Published Date
Feb 26, 2020
Journal
Volume
42
Issue
23
Pages
3561 - 3571
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History