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How to train a model to predict the number of people at a certain bus stop before they cumulate in large numbers?

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A user asks how to train a model on periodically uploaded user location data to predict rush hours at each bus stop so extra buses can be dispatched. The question describes using an app that tracks positions and sends them to servers.

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