Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network

Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network

The main objective of this paper was to investigate the relationship between PCI and IRI values of the rural road network. To this end, 6000 pavement sections of the rural road network in Iran were selected. Road surface images and roughness linear profiles were collected using an automated car to c...

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Bibliographic Details
Published in:Advances in civil engineering Vol. 2021; no. 1
Main Authors: Adeli, Sasan, Najafi moghaddam Gilani, Vahid, Kashani Novin, Mohammad, Motesharei, Ehsan, Salehfard, Reza
Format: Journal Article
Language:English
Published: New York Hindawi 21-08-2021
Hindawi Limited
Subjects:
Algorithms
Asphalt
Asphalt pavements
Civil engineering
Concrete
Failure
Neural networks
Operating costs
Pavements
Regression analysis
Regression models
Road surface
Roads
Roads & highways
Rural roads
Set theory
Surface roughness
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Summary:The main objective of this paper was to investigate the relationship between PCI and IRI values of the rural road network. To this end, 6000 pavement sections of the rural road network in Iran were selected. Road surface images and roughness linear profiles were collected using an automated car to calculate PCI and IRI, respectively. Three exponential regression models were developed and validated in three different IRI intervals. Analysis of the results indicated that exponential regression was the best model to relate IRI and PCI. In these models, R2 values were found to be acceptable, equal to 0.75, 0.76, and 0.59 for roads with good, fair, and very poor qualities, respectively, indicating a good relationship between IRI and PCI. Moreover, validation results showed that the model had a high accuracy. Also, the relation between IRI and PCI became weaker as a result of increasing the level of road surface roughness, which can be caused by the increase in the number and severity of failures. Furthermore, two failures of rail R.C. and rutting were rarely observed in the studied roads. Therefore, the proposed model is more applicable for roads without the mentioned failures and asphalt-pavement rural road network.
ISSN:1687-8086
1687-8094
DOI:10.1155/2021/6635820