[HTML][HTML] Predictive models for flexible pavement fatigue cracking based on machine learning
Pavement performance prediction is crucial for ensuring the longevity and safety of road
networks. In our extensive study, we employ a diverse array of techniques to enhance …
networks. In our extensive study, we employ a diverse array of techniques to enhance …
Optimization of Highway Performance and Safety by Integrated Multi-Criteria Decision-Making Techniques
The precise pavement performance assessment is critical for the effective management and
maintenance of the transportation infrastructure. The structural integrity and safety of …
maintenance of the transportation infrastructure. The structural integrity and safety of …
Machine learning modeling of pavement performance and IRI prediction in flexible pavement
Accurate forecasting models for the International Roughness Index (IRI) are essential for the
efficient management and maintenance of road infrastructure. Because they enable …
efficient management and maintenance of road infrastructure. Because they enable …
Gradient boosting decision trees to study laboratory and field performance in pavement management
Inconsistencies between performance data from laboratory‐prepared and field samples
have been widely reported. These inconsistencies often result in inaccurate condition …
have been widely reported. These inconsistencies often result in inaccurate condition …
Surrogate modelling of surface roughness for asphalt pavements using artificial neural networks: a mechanistic-empirical approach
Pavement surface smoothness (or roughness) is crucial for traffic safety, driving comfort, and
fuel efficiency. As a widely applied roughness indicator, an accurate forecasting of the …
fuel efficiency. As a widely applied roughness indicator, an accurate forecasting of the …
[HTML][HTML] Comparative Analysis of Deep Neural Networks and Graph Convolutional Networks for Road Surface Condition Prediction
S Boonsiripant, C Athan, K Jedwanna… - Sustainability, 2024 - mdpi.com
Road maintenance is essential for supporting road safety and user comfort. Developing
predictive models for road surface conditions enables highway agencies to optimize …
predictive models for road surface conditions enables highway agencies to optimize …
[HTML][HTML] Artificial Neural Network-based model to predict the International Roughness Index of national highways in Nepal
Reliable predictions of pavement performance are crucial for road maintenance,
rehabilitation, and reconstruction planning. To facilitate predictions of the International …
rehabilitation, and reconstruction planning. To facilitate predictions of the International …
Ensemble Learning Approach for Developing Performance Models of Flexible Pavement
This research utilizes the Long-Term Pavement Performance database, focusing on devel-
oping a predictive model for flexible pavement performance in the Southern United States …
oping a predictive model for flexible pavement performance in the Southern United States …
[HTML][HTML] Reconstructing Road Roughness Profiles Using ANNs and Dynamic Vehicle Accelerations
Road networks are crucial infrastructures that play a significant role in the progress and
advancement of societies. However, roads deteriorate over time due to regular use and …
advancement of societies. However, roads deteriorate over time due to regular use and …
A Comparative Study of Pavement Roughness Prediction Models under Different Climatic Conditions.
S Al-Samahi, W Zeiada, GG Al-Khateeb… - …, 2024 - search.ebscohost.com
Abstract Predicting the International Roughness Index (IRI) is crucial for maintaining road
quality and ensuring the safety and comfort of road users. Accurate IRI predictions help in …
quality and ensuring the safety and comfort of road users. Accurate IRI predictions help in …