Abstract: Traffic flow Forecasting is essential in intelligent transportation systems. Although graph neural networks perform well with non-Euclidean traffic data, they exhibit limits in accurately ...
Abstract: Traffic flow forecasting is crucial for intelligent transportation systems. Currently, most models need to pay more attention to the delay (history) state to improve forecasting performance.
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