Modeling of pavement roughness utilizing artificial neural network approach for Laos national road network

Modeling of pavement roughness utilizing artificial neural network approach for Laos national road network

The International Roughness Index (IRI) has become the reference scale for assessing pavement roughness in many highway agencies worldwide. This research aims to develop two Artificial Neural Network (ANN) models for Double Bituminous Surface Treatment (DBST) and Asphalt Concrete (AC) pavement secti...

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Bibliographic Details
Main Authors: Mohamed Gharieb, Takafumi Nishikawa, Shozo Nakamura, Khampaseuth Thepvongsa
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2022-03-01
Series:Journal of Civil Engineering and Management
Subjects:
international roughness index (iri)
laos pavement management system (pms)
artificial neural network (ann)
backpropagation algorithm
double bituminous surface treatment (dbst)
asphalt concrete (ac)
pavement age
cumulative equivalent single-axle load (cesal)
pavement performance model
Online Access:https://journals.vgtu.lt/index.php/JCEM/article/view/15851

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https://journals.vgtu.lt/index.php/JCEM/article/view/15851

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