Forecasting Urban Rail Transit Vehicle Interior Noise and Its Applications in Railway Alignment Design
In this study, a data-driven interior noise prediction model is developed for vehicles on an urban rail transit system based on random forest (RF) and a vehicle/track coupling dynamic model (VTCDM). The proposed prediction model can evaluate and optimize the sustainability of railway alignment from...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/5896739 |