M
Maria de Lurdes Antunes
Publications - 6
Citations - 185
Maria de Lurdes Antunes is an academic researcher. The author has contributed to research in topics: Pavement management & Performance indicator. The author has an hindex of 5, co-authored 6 publications receiving 81 citations.
Papers
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Journal ArticleDOI
Machine learning approach for pavement performance prediction
TL;DR: A general machine learning approach for the development of pavement performance prediction models in pavement management systems (PMS) is proposed, which supports different machine learning algorithms and emphasizes generalisation performance.
Journal ArticleDOI
Comprehensive performance indicators for road pavement condition assessment
TL;DR: The results suggest that the application of machine learning methods can improve the accuracy of pavement condition indicators when less data are available, contributing to achieve a balance between the needed data and information obtained.
Journal ArticleDOI
Transfer learning for pavement performance prediction
TL;DR: It is shown that it is possible to develop accurate performance prediction models in limited data contexts when a transfer learning approach is applied and all the models resulting from this approach outperformed baseline models, especially in what regards long-term forecasts.
Book ChapterDOI
Machine Learning for Pavement Friction Prediction Using Scikit-Learn
TL;DR: A Python machine learning library, scikit-learn, is used to predict asphalt pavement friction, and initial friction plays an essential role in the way friction evolves over time.
Journal ArticleDOI
Development of a Multi Criteria Decision Analysis Model for Pavement Maintenance at the Network Level: Application of the MACBETH Approach
TL;DR: The case-study demonstrated the application of the MACBETH approach and its suitability to solve the decision-making problem, thus proving the usefulness of this approach for road agencies with pavement management responsibilities.