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A Machine Learning–Based Framework for Predicting Pavement Roughness and Aggregate Segregation during Construction
Publisher: American Society of Civil Engineers
Abstract: Pavement construction monitoring and quality assurance (QA) practices are based mostly on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing ...
Development of a Deep Convolutional Neural Network for the Prediction of Pavement Roughness from 3D Images
Publisher: ASCE
Abstract: Current roughness prediction models require extensive input data including pavement distress, climatic, and traffic data, which may be difficult to collect. In addition, these models have geographical limitations; therefore, ...