A Traffic Flow Forecasting Model Using Graph Convolutional Recurrent Neural Networks with Incomplete Data
2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC（2023）
关键词
Neural Network,Convolutional Network,Incomplete Data,Recurrent Neural Network,Traffic Flow,Graph Convolutional Network,Graph Convolution,Convolutional Recurrent Neural Network,Mixture Model,Real-world Datasets,Temporal Dependencies,Node Features,Traffic Prediction,Multi-step Prediction,Root Mean Square Error,Convolutional Layers,Mean Data,Long Short-term Memory,Entire Network,Generative Adversarial Networks,Traffic Data,Traffic Forecasting,Gated Recurrent Unit,Missing Rate,Temporal Correlation,Traffic Conditions,Graph Neural Networks,Benchmark Model,Road Network,Spatial Dependence
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