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View Code? Open in Web Editor NEWDeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
License: Apache License 2.0
DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
License: Apache License 2.0
Thanks for the open-source work. This is a very interesting innovation in modeling the impact of contextual information (such as POI, weather, temperature, and time) on spatiotemporal prediction. Currently, we want to follow this work and reuse the dataset. However, our solution needs to know the physical meaning behind different weather numbers (from 0 to 7 at intervals of 1). Can we provide this? For example, the number 0 represents a rainstorm.
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