Sacyr Prediction Tool: artificial intelligence for safer roads

We created a predictive asphalt maintenance system powered by the latest technologies

This innovative tool uses machine learning and big data to predict with high accuracy the long-term deterioration of road pavement. We developed this project in collaboration with Tyris AI, the winning startup of the 2018 Sacyr Innovation Awards. The system is based on a machine learning module. Through a massive intake of data and sources on asphalt imperfections, this module modifies equations and calculations of pavement deterioration on roads.

Sacyr Prediction Tool

Has the capacity to run dozens of calculations simultaneously, issuing very accurate predictions of the long-term behavior of pavements and their possible deterioration, based on data on the use of the road itself, its construction, and environmental conditions such as weather. 

This project aims to provide greater safety throughout the life cycle of the road. Similarly, the tool aims to ensure that the operations and maintenance developed and applied are much more limited and have a high level of detail and effectiveness to correct each of the deteriorations.

All this translates into more efficient, more sustainable, and of course, safer roads; generating value for customers and users in the short and long term.

  • Big data
  • Machine learning
  • Roads

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