Muhammad Amjad Afridi

Application of machine learning techniques for predicting municipal pavement condition index

Forecasting municipal pavement condition index through sigmoid deterioration model

This study investigates the application of a sigmoidal deterioration model with separate regression parameter sets to estimate the pavement condition index ( PCI ) for 2022 across both residential and non-residential streets — including main, collector and industrial roads — in Skellefteå Municipality, Sweden. Separate...

Application of Machine Learning in Municipal Pavement Condition Predictions

Machine learning (ML) has increasingly become a vital tool for accurate pavement condition prediction, enabling more effective maintenance planning and resource allocation. This study applies the random forest (RF) algorithm to predict the pavement condition index ( PCI ) for 2022 over a short forecast horizon of 4...