Predicting traffic flow with machine learning

This work describes a way of predicting traffic flow with machine learning. To accomplish this goal, several research questions have been created. These are Q1: What machine learning techniques can be used to accurately predict traffic flow? Q2: How can we use the predicted traffic flow to avoid congestion? Q3: What is the influence of non-cooperative vehicles on this model? The first question will be used to select the most accurate technique from an LSTM, GRU or CNN. The technique can be used to create a rerouting mechanism in SUMO to prevent congestion. Finally the work describes ways to evaluate the effect of non-cooperative vehicles on the rerouting mechanism to test the effectiveness on a more realistic scenario.