A Prediction Model for the Pavement Condition Index Using the International Roughness Index: A Case Study of 5 Selected Freeways in Iran.

مهندسی عمران فردوسی

Article 6, Volume 34, Issue 4 - Serial Number 36, November 2021, Pages 69-80   

Document Type: Original Article

DOI: 10.22067/jfcei.2022.73899.1097

Authors

Seyed Azim Hosseini^{* 1}; Masoud Sabaee²; Seyed Amir Saadatjoo³; Saeed Fatemi⁴; Seyed Ali Ziaee⁵

¹Department of Civil Engineering, Faculty of Engineering, Qom University of Azad university, south branch ,Tehran,, Iran

²Department of Civil Engineering, Faculty of Engineering, Qom University of Azad University, South Branch, Tehran, Iran.

³Faculty of Civil Engineering, Iran University of Science and Technology

⁴Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

⁵Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

Abstract

Reliable and accurate assessment of the condition of the pavement network such as International Ruggedness Index (IRI) and pavement condition index (PCI) is one of the most important components in a pavement management system. This issue is very effective in managing and planning financial resources to maintain road pavement. However, calculating PCI and IRI parameters are difficult and complicated. Therefore, it is necessary to use numerical models to estimate these parameters. In this study, PCI and IRI data related to five different freeways in Iran were used and different mathematical models were investigated. Afterwards, a model for estimating PCI data from IRI was introduced, which had an acceptable correlation between these data in all the freeways studied and Showed better performance than out of all the models presented by various researchers in the world which mentioned in this article. The use of this model can make it possible to estimate the PCI parameter for the freeway networks, and as a result, the management of freeway pavements and planning for maintenance operations will be facilitated at a lower cost.

Keywords

Pavement Condition Index; International Roughness Index; Pavement Management; Repair and Maintenance

Supplementary Files

CE(34-4)-6-hossini-Revised.pdf

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