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A Deep Neural Network Approach to Predict Overlay Thickness of Asphalt Pavements Using Deflection Parameters and Estimated Traffic
Publisher: ASCE
Abstract: The objective of this study was to develop a deep neural network (DNN)-based approach to predict the overlay thickness of asphalt pavements using deflection bowl parameters measured with a falling weight deflectometer and ...
Unified Pavement Health Index: Comprehensive and Robust Approach to Measure Functional Condition of Asphalt Pavement Systems
Publisher: ASCE
Abstract: The objective of this study was to develop a generic pavement condition assessment scale, called the unified pavement health index (UPHI), that is capable of quantifying asphalt pavement surface quality, which could be ...