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[HTML][HTML] Machine learning algorithms for monitoring pavement performance
This work introduces the need to develop competitive, low-cost and applicable technologies
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …
[HTML][HTML] Machine learning for prediction of the international roughness index on flexible pavements: A review, challenges, and future directions
Timely maintenance of road pavements is crucial to ensure optimal performance. The
accurate prediction of trends in pavement defects enables more efficient allocation of funds …
accurate prediction of trends in pavement defects enables more efficient allocation of funds …
An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree
This paper proposes an ensemble learning model that deploys a Gradient Boosting
Decision Tree (GBDT) to predict two relevant functional indices, the International roughness …
Decision Tree (GBDT) to predict two relevant functional indices, the International roughness …
[HTML][HTML] Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
In recent years, different technologies based on Machine Learning (ML) algorithms have
been developed to evaluate road distress quality and help with pavement maintenance …
been developed to evaluate road distress quality and help with pavement maintenance …
[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 …
[HTML][HTML] Predicting pavement condition index using artificial neural networks approach
Abstract Pavement Condition Index (PCI) is a numerical assessment of pavement conditions
based on existing distresses. The PCI values are used for pavement management and …
based on existing distresses. The PCI values are used for pavement management and …
International Roughness Index prediction for flexible pavements using novel machine learning techniques
Abstract International Roughness Index (IRI) is an important pavement performance
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …
[HTML][HTML] Creating rutting prediction models through machine learning techniques utilizing the long-term pavement performance database
Over time, roads undergo deterioration caused by various factors such as traffic loads,
climate conditions, and material properties. Considering the substantial global investments …
climate conditions, and material properties. Considering the substantial global investments …
Machine learning approach to predict international roughness index using long-term pavement performance data
On-time pavement maintenance and rehabilitation are required to maintain or improve
pavement roughness, which is an indicator of pavement performance and road safety. Better …
pavement roughness, which is an indicator of pavement performance and road safety. Better …
A review on empirical methods of pavement performance modeling
This paper conducts a comprehensive review of empirical methods of pavement
performance modeling. The paper firstly analyzes performance measures used in existing …
performance modeling. The paper firstly analyzes performance measures used in existing …