I’m interested in applying Machine Learning to manage traffic congestion for an engineering project, but I’m not sure how to approach it. I think my current idea is to use this data to produce a reinforcement learning algorithm to determine where new development could best alleviate congestion, but that seems somewhat model-driven. What other angles could I take to try and narrow down a complex issue like this?