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

Document Type : Original Article

Authors

• Seyed Azim Hosseini ¹
• Masoud Sabaee ²
• Seyed Amir Saadatjoo ³
• Saeed Fatemi ⁴
• Seyed Ali Ziaee ⁵

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

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

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

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

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

10.22067/jfcei.2022.73899.1097

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

20.1001.1.27832805.1400.34.4.6.4

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