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    Transformer-based short-term traffic forecasting model considering traffic spatiotemporal correlation by Ande Chang, Yuting Ji, Yiming Bie

    Published 2025-01-01
    “…In the experiments, Trafficformer is evaluated on the Seattle Loop Detector dataset. It is compared with six baseline methods, with Mean Absolute Error, Mean Absolute Percentage Error, and Root Mean Square Error used as metrics. …”
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