Pavement asset management system (PAMS) assists agencies and decision makers to
maintain deteriorating pavement assets with optimized budget allocation. The recent …

Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …

This study explores the performance regime of different classification algorithms as they are
applied to the analysis of asphalt pavement deterioration data. The aim is to examine how …

Pavement condition assessment provides information to make more cost-effective and
consistent decisions regarding management of pavement network. Generally, pavement …

Effective prediction of pavement performance is essential for transportation agencies to
appropriately strategize maintenance, rehabilitation, and reconstruction of roads. One of the …

Abstract Pavement Condition Index (PCI) is a numerical assessment of pavement conditions
based on existing distresses. The PCI values are used for pavement management and …

A decision-support tool was developed to predict the condition of asphalt roads in 2, 3, 5 and
6 years. The tool was developed based on analyzing a large dataset (more than 3000 road …

A number of pavement condition indices are obtained and used to conduct pavement
management assessments, two of which are the International Roughness Index (IRI) and …

Pavement management systems (PMSs) have a primary role in determining pavement
condition monitoring and maintenance strategies. Moreover, many researchers have …

Assessment of the earthquake-induced liquefaction potential is a critical concern in design
processes of construction projects. This study proposes a novel soft computing model with a …