Introduction of a new index to assess pavement functional condition

Article Engineering, Multidisciplinary

Predicting pavement condition index using artificial neural networks approach

Amjad Issa et al.

Summary: This research models the relationship between distress types and severity and Pavement Condition Index (PCI) using Artificial Neural Networks (ANN). The results show that the ANN model can predict PCI with high reliability.

AIN SHAMS ENGINEERING JOURNAL (2022)

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Article Construction & Building Technology

A simplified pavement condition index regression model for pavement evaluation

Amr A. Elhadidy et al.

Summary: This study developed a simplified regression model linking PCI with IRI using the LTPP database and found that a sigmoid function best expressed the relationship between the two indices. The model had a high coefficient of determination (R-2) and low bias in predicted IRI values, with validation on a different dataset also yielding highly accurate predictions. This research proposed a pavement condition rating system based on IRI that is equivalent to the widely-used PCI rating method.

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING (2021)

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Article Green & Sustainable Science & Technology

AHP as a Useful Tool in the Assessment of the Technical Condition of Hydrotechnical Constructions

Mateusz Hammerling et al.

Summary: The study compared the assessment results of hydrotechnical constructions on the Welna River using three different methods, exploring the feasibility of using the Analytic Hierarchy Process (AHP) as an evaluation tool. The research found that AHP can provide more accurate multifactor assessments, potentially becoming a universal method for evaluating the technical condition of hydrotechnical constructions.

SUSTAINABILITY (2021)

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Article Computer Science, Information Systems