Multimodal embeddings from satellite images and road graphs raise accident prediction AUROC to 90.1 percent and attribute 24 percent higher rates to increased precipitation after confounder adjustment.
Uncertainty quantification of sparse travel demand prediction with spatial-temporal graph neural net- works
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Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation
Multimodal embeddings from satellite images and road graphs raise accident prediction AUROC to 90.1 percent and attribute 24 percent higher rates to increased precipitation after confounder adjustment.