Abstract
There has been much discussion about the impact and future of artificial
intelligence (AI) in our lives and future generations. Many experts even
believe that AI will “rule” the world. Artificial Neural Networks
(ANN) have provided a convenient and often extremely accurate solution
to problems within all fields, and can be seen as advanced
general-purpose regression models that try to mimic the behavior of the
human brain. The adoption and use of ANN-based methods in the
Mechanistic-Empirical Pavement Design Guide is a clear sign of the
successful use of neural nets in geomechanical and pavement systems.
This work aims to provide an extensive and detailed state-of-the-art of
the application of ANN models to pavement management, materials and
design problems. Unlike former review articles published before 2014,
this work is more descriptive and makes the review much more appealing
to the reader by highlighting numerically and/or graphically the
effectiveness and possible drawbacks of each ANN application.