In recent years, there has been an increasing interest in the application of machine learning
for the prediction of pavement performance. Prediction models are used to predict the future …

Road transportation has always been inherent in developing societies, impacting between
10–20% of Gross Domestic Product (GDP). It is responsible for personal mobility (access to …

The purpose of the study is to determine the implementation status of the 2030 Agenda
sustainable development goals (SDG) in Poland. The current situation in the country is …

Highways are vital infrastructures that play a crucial role in providing social welfare.
Highway structures could experience different types of deterioration (eg pavement ageing …

This paper presents a comparative study on the applications of general regression neural
network (GRNN) models and conventional Box–Jenkins time series models to predict the …

The application of Markov models as deterioration-forecasting tools has been widely
documented in the practice of infrastructure management. The Markov chain models employ …

This paper proposes a new probabilistic treatment path dependence (PTPD) model for
budget allocation within pavement network management problems. During the evaluation of …

The road network in many countries holds significant value, and the amount will continue to
grow due to the rapid growth of cities and populations. Given this, it is crucial to improve …

A method for determining optimal risk-based maintenance and rehabilitation (M&R) policies
for transportation infrastructure is presented. The proposed policies guarantee a certain …

This paper presents an analytical approach for joint planning of pavement maintenance and
resurfacing activities that minimizes pavement lifecycle costs, including user, maintenance …