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Found 4 papers, 3 papers with code
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggregated GPS probe data in time and space bins.
SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers
Traffic forecasting is an important element of mobility management, an important key that drives the logistics industry.
Traffic flow prediction using Deep Sedenion Networks
The sedenion output of the network is used to represent the multimodal traffic predictions.
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting
In this work, we tackle the challenge of weather forecasting using a video transformer network.
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