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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?
submitted by /u/shadowknife392
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