Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation

MMTraCE: a large-scale dataset across six U.S. states, comprising nine million traffic accident records from official sources, and one million high-resolution satellite images for each node of the road network. Due to the large memory of the whole satellite image (around 2TB), we report 500 sample images of each state for reference. We report the entire vision embedding of each state for the design of future fusion methods.