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VOL. 2, ISSUE 2 (2026)
A Review of International Roughness Index (IRI) performance models for Flexible, Semi-Rigid, and Composite Pavements in Double-Carriageway
Authors
Zubair Abbasi
Abstract
The International Roughness Index (IRI) is a widely accepted indicator
for evaluating pavement surface condition and ride quality. Accurate prediction
of IRI progression is essential for effective pavement management, maintenance
planning, and lifecycle cost optimization. This paper presents a comprehensive
review of IRI performance models for flexible, semi-rigid, and composite
pavements, with a specific focus on double-carriageway roads subjected to
varying traffic and environmental conditions. The study examines empirical,
mechanistic–empirical, and data-driven modeling approaches, highlighting their
assumptions, input parameters, and limitations. Comparative analysis reveals
that flexible pavements exhibit faster roughness progression, whereas composite
pavements demonstrate superior long-term performance but require more complex
modeling frameworks. The review also identifies critical research gaps,
including the lack of localized calibration, limited application of machine
learning techniques, and insufficient consideration of lane-wise deterioration
in double-carriageway systems. The findings aim to support researchers and
practitioners in selecting appropriate IRI prediction models and improving
pavement management strategies, particularly in developing countries.
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Pages:1-2
How to cite this article:
Zubair Abbasi "A Review of International Roughness Index (IRI) performance models for Flexible, Semi-Rigid, and Composite Pavements in Double-Carriageway". World Journal of Current Science, Vol 2, Issue 2, 2026, Pages 1-2
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