The solution aims to:
- Investigate the possible factors that affect the evolution of the condition of a road surface, applying big data and artificial intelligence technologies in order to compare the existence and evolution of these factors with the real evolution experienced on roads operated and managed by Sacyr Concesiones.
- To increase accuracy with respect to current models, thanks to the incorporation of a greater number of variables, using real historical data from similar roads and machine learning technology.
- Facilitate and simplify the generation of simulation scenarios with a complete, user-friendly and visual user interface.
- To carry out a clean data and analysis phase which will allow us to know precisely the degree of effect of the variables studied, and the real evolution of the pavement indicators.
- And finally, to proceed with the development of new predictive models for deterioration indicators. In this project, the models to be developed are focused on the deterioration indicators: rutting, macrotexture and CRT.
This project has a budget of €566,797.00 and will run until 31 December 2026. Once completed, Sacyr Concesiones expects to have an advanced tool for the long-term prediction of road performance.
The project is co-financed by the European Union, European Funds, the Ministry of Finance and CDTI through the Ministry of Science, Innovation and Universities.
