Rajiv Kumar

Machine Learning–Based Dual Prediction of Pavement Roughness and Condition Rating with Taylor and Information-Theoretic Validation

A multioutput machine learning regression framework for the simultaneous prediction of the International Roughness Index (IRI) and pavement condition rating (PCR) for major district roads (MDRs) in Punjab, India demonstrates that reliable pavement condition assessment can be achieved using routinely collected survey data.