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  • Ma H, Zhou M, Ouyang X, et al. Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 3263-3268. Link Code
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  • Chen B, Hu K, Li Y, et al. Hybrid Spatio-Temporal Graph Convolution Network For Short-Term Traffic Forecasting[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 2128-2133. Link
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  • Wang Q, He G, Lu P, et al. Spatial-Temporal Graph-Based Transformer Model for Traffic Flow Forecasting[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 2806-2811. Link
  • Tran H, Nguyen S, Yen I L, et al. TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 1921-1926. Link
  • Wang J, Zhang Y, Lv Y, et al. Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 1388-1393. Link
  • Katayama H, Yasuda S, Fuse T. Traffic Density Based Travel-Time Prediction With GCN-LSTM[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 2908-2913. Link