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OpenCity is an open source spatio-temporal basic model focusing on the field of traffic prediction. By integrating the Transformer architecture and graph neural network, the model effectively captures and standardizes complex spatiotemporal dependencies in traffic data, achieving zero-sample generalization to different urban environments. It is pre-trained on large-scale, heterogeneous traffic data sets, learns rich and generalizable representations, and can be seamlessly applied to a variety of traffic prediction scenarios.
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