Prediction of Road Condition and Smoothness for Flexible and Rigid Pavements in Louisiana Using Neural Networks [Technical Summary]
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2024-03-01
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Abstract:The objective of this research was to develop both short- and long- term pavement performance and deterioration models that can be used to estimate future pavement conditions and smoothness using ANN modeling. Specifically, the short-term models were for the prediction of 2- and 4-year future pavement surface cracking percentages for the current Louisiana interstate and national highway system (NHS) pavement network. The long-term models were developed as alternatives to DOTD’s family curve models used in asphalt pavement maintenance and rehabilitation treatment selection.
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