INTELLIPave -AN EVOLUTIONARY INTELLIGENCE APPROACH TO ASPHALT PAVEMENT MODELLING

This research describes an approach to model and predict the asphalt behavior using a rtificial intelligence tools. To that is used a large database containing variables related to climate, traffic and the pavement characteristics and for a full cycle of the pavement service life. The data is organized and optimized using soft computing tools in order to balance the importance of each variable to destruct the pavement. A trained neural network set is used to replicate and practical use of the produced model.