Traffic Noise Modelling Using Land Use Regression Model Based on Machine Learning, Statistical Regression and GIS

Traffic Noise Modelling Using Land Use Regression Model Based on Machine Learning, Statistical Regression and GIS

This study estimates the equivalent continuous sound pressure level (L<sub>eq</sub>) during peak daily periods (‘rush hour’) along the New Klang Valley Expressway (NKVE) in Shah Alam, Malaysia, using a land use regression (LUR) model based on machine learning, statistical regression, and...

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Bibliographic Details
Main Authors: Ahmed Abdulkareem Ahmed Adulaimi, Biswajeet Pradhan, Subrata Chakraborty, Abdullah Alamri
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
traffic noise modelling
land use regression model
machine learning
GIS
LiDAR
Online Access:https://www.mdpi.com/1996-1073/14/16/5095

Internet

https://www.mdpi.com/1996-1073/14/16/5095

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