Evaluation of Flexible Pavement Performance Models in Mississippi: A Neural Network Approach

Artificial Neural Networks for Flexible Pavement

“…Duckworth et al [24] used ANN models for predicting pavement performance, considering the impact of rehabilitation measures on the inputs like traffic load, climate, and environmental factors. The most promising models were found to be Pavement Condition Rating and International Roughness Index.…”

“…✔ ✔ Artificial Neural Networks (ANN) l., [26] ✔ ✔ XGBoost and CatBoost al., [27] ✔ computational intelligence (CI) ANN is the most effective and practical model compared to others in predicting the performance of asphalt pavement and most of the studies conducted were numerical. ✔ Artificial Neural Networks (ANN) Marcelino et al, [20] ✔ Artificial Neural Network (ANN) Pantuso et al, [21] ✔ Linear Empirical Bayesian (LEB) Kırbaş and Karaşahin., [22] ✔ Multivariate Adaptive Regression Splines (MARS) Duckworth et al, [24] ✔ Artificial Neural Networks (ANN) Issa et al, [25] ✔ ✔ Artificial Neural Networks (ANN) Morris, et al, [26] ✔ ✔ XGBoost and CatBoost Ranjbar et al, [27] ✔ computational intelligence (CI) Summary ANN is the most effective and practical model compared to others in predicting the performance of asphalt pavement and most of the studies conducted were numerical. ✔ Artificial Neural Networks (ANN) et al, [20] ✔ Artificial Neural Network (ANN) al., [21] ✔ Linear Empirical Bayesian (LEB) Karaşahin., [22] ✔ Multivariate Adaptive Regression Splines (MARS) et al, [24] ✔ Artificial Neural Networks (ANN) 25] ✔ ✔ Artificial Neural Networks (ANN) l., [26] ✔ ✔ XGBoost and CatBoost al., [27] ✔ computational intelligence (CI) ANN is the most effective and practical model compared to others in predicting the performance of asphalt pavement and most of the studies conducted were numerical.…”

“…✔ Artificial Neural Networks (ANN) Marcelino et al, [20] ✔ Artificial Neural Network (ANN) Pantuso et al, [21] ✔ Linear Empirical Bayesian (LEB) Kırbaş and Karaşahin., [22] ✔ Multivariate Adaptive Regression Splines (MARS) Duckworth et al, [24] ✔ Artificial Neural Networks (ANN) Issa et al, [25] ✔ ✔ Artificial Neural Networks (ANN) Morris, et al, [26] ✔ ✔ XGBoost and CatBoost Ranjbar et al, [27] ✔ computational intelligence (CI) Summary ANN is the most effective and practical model compared to others in predicting the performance of asphalt pavement and most of the studies conducted were numerical. ✔ Artificial Neural Networks (ANN) et al, [20] ✔ Artificial Neural Network (ANN) al., [21] ✔ Linear Empirical Bayesian (LEB) Karaşahin., [22] ✔ Multivariate Adaptive Regression Splines (MARS) et al, [24] ✔ Artificial Neural Networks (ANN) 25] ✔ ✔ Artificial Neural Networks (ANN) l., [26] ✔ ✔ XGBoost and CatBoost al., [27] ✔ computational intelligence (CI) ANN is the most effective and practical model compared to others in predicting the performance of asphalt pavement and most of the studies conducted were numerical. ✔ Artificial Neural Networks (ANN) et al, [20] ✔ Artificial Neural Network (ANN) al., [21] ✔ Linear Empirical Bayesian (LEB) Karaşahin., [22] ✔ Multivariate Adaptive Regression Splines (MARS) et al, [24] ✔ Artificial Neural Networks (ANN) 25] ✔ ✔ Artificial Neural Networks (ANN) l., [26] ✔ ✔ XGBoost and CatBoost al., [27] ✔ computational intelligence (CI) ANN is the most effective and practical model compared to others in predicting the performance of asphalt pavement and most of the studies con-…”