
Deep learning with CNN-LSTM architecture enhances traffic flow prediction using cellular automata-based models.


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deep-learning-for-traffic-flow-prediction-using-cellular-automata-based-model-and-cnn-lstm-architecture


Deep Learning for Traffic Flow Prediction using Cellular Automata-based Model and CNN-LSTM Architecture


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The proposed MVC-STNet model effectively captures the complex spatial and temporal correlations in traffic data by leveraging multi-view spatial graphs and channel-wise graph convolutional networks, outperforming state-of-the-art methods.


deep-multi-view-channel-wise-spatio-temporal-network-for-accurate-traffic-flow-prediction


Deep Multi-View Channel-Wise Spatio-Temporal Network for Accurate Traffic Flow Prediction
