A two-stage graph model (RoadDiff) generates lane-level traffic states from road-level data and outperforms 17 baselines on six real-world datasets.
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Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation
A two-stage graph model (RoadDiff) generates lane-level traffic states from road-level data and outperforms 17 baselines on six real-world datasets.