How to train a model to predict the number of people at a certain bus stop before they cumulate in large numbers? Each person probably uses an app that tracks his/her position periodically and sends it to our servers. What I want is to use these data to train a model to predict the rush hours of each bus-stop on the map, so we can send extra buses to handle the predicted cumulation before it happens.
I have no experience in AI nor machine learning. So, which model should I use to do this?
Maybe you can use a recurrent neural network on saved data to train a predictive model based on past data.