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Modeling the Deduct Value of the Pavement Condition of Asphalt Pavement by Adaptive Neuro Fuzzy Inference System
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Modeling the Deduct Value of the Pavement Condition of Asphalt Pavement by Adaptive Neuro Fuzzy Inference System
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Journal Article
Modeling the Deduct Value of the Pavement Condition of Asphalt Pavement by Adaptive Neuro Fuzzy Inference System
2013
Overview
The quality of roads directly impacts the services they provide. Different indices are used to determine the pavement condition. Based on these indices, the pavement management system provides an estimation of the future costs of roadways and the ways of optimizing them. One of the indices used in the specification of the pavement condition is the Pavement Condition Index (PCI). To determine the value of this index, considering the amount and the severity of each sample's distress, the deduct values should first be calculated based on the experimental charts. In this study, the researchers try to present a model based on the Adaptive Neuro Fuzzy Inference System (ANFIS) to determine the deduct value used to calculate the PCI. Key words: ANFIS, Deduct value, Distress, Pavement, PCI. [PUBLICATION ABSTRACT]
Publisher
中華鋪面工程學會,Springer Nature B.V
