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The central aim is to create a comprehensive deterioration index to improve budget allocation for pavement maintenance.

Comprehensive Pavement Deterioration Assessment Using Fuzzy Analytical Hierarchy Process

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The central aim is to create a comprehensive deterioration index to improve budget allocation for pavement maintenance.
Developed an overall deterioration index (ODI) using weighted combinations of key assessment categories.
Examined pavement condition index (PCI), international roughness index (IRI), falling weight deflectometer (FWD), and friction number (FN).
Utilized fuzzy analytical hierarchy process to determine weightings of assessment categories based on expert evaluations.
Conducted case study using long-term pavement performance (LTPP) data to validate the model.
PCI was identified as the most significant factor with a weight of 0.439.
IRI and FWD were ranked as the second and third variables with weights of 0.15 and 0.318, respectively.
The model demonstrated engineering validity, offering a holistic approach for pavement deterioration assessment and maintenance planning.

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Develops an integrated overall deterioration index for pavement management, indicating improved maintenance strategies.

Gamal et al. (2026) studied this question.

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