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Traffic4cast 2021: Mobility in times of change

This year, we are challenging competitors to model urban traffic and to predict future states robustly even in the face of complex domain shifts.

We explore this through a core challenge where models need to contend with the changing traffic patterns induced by the COVID-19 pandemic.

In an extended challenge, predictions are requested for new cities with only few traffic measurements provided as few-shot learning scenario.

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