How would you implement a system to predict and mitigate traffic congestion using machine learning?

Instruction: Outline the data inputs, model choice, training strategy, and how the system would provide actionable insights to both city planners and drivers in real-time.

Context: This question assesses the candidate's ability to design systems that can analyze and predict complex, dynamic phenomena such as traffic patterns, with real-world impact.

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I would design this as a forecasting-plus-intervention system. Predicting congestion is useful, but the real value comes from helping traffic operators or navigation systems make better decisions before bottlenecks worsen.

I would combine roadway sensors, GPS...

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