Comprehensive performance indicators for road pavement condition assessment

What is it about?

This paper presents a new approach for the development of pavement condition indicators using a machine learning algorithm named regularised regression with lasso. The present discussion is supported by a case study, which compares the proposed method with current practice for the description of the condition of a Portuguese motorway.

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Why is it important?

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.