  In this paper, we aim to illustrate different approaches we followed while
developing a forecasting tool for highway traffic in Morocco. Two main
approaches were adopted: Statistical Analysis as a step of data exploration and
data wrangling. Therefore, a beta model is carried out for a better
understanding of traffic behavior. Next, we moved to Machine Learning where we
worked with a bunch of algorithms such as Random Forest, Artificial Neural
Networks, Extra Trees, etc. yet, we were convinced that this field of study is
still considered under state of the art models, so, we were also covering an
application of Long Short-Term Memory Neural Networks.
