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  • Lin L, Li W, Zhu L. Data-Driven Graph Filter-Based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction[J]. Sustainability, 2022, 14(24): 16701. Link
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  • Cao Y, Wang Y. Shared Cycling Demand Prediction during COVID-19 Combined with Urban Computing and Spatiotemporal Residual Network[J]. Sustainability, 2022, 14(16): 9888. Link
  • Lee G, Choo S, Choi S, et al. Does the Inclusion of Spatio-Temporal Features Improve Bus Travel Time Predictions? A Deep Learning-Based Modelling Approach[J]. Sustainability, 2022, 14(12): 7431. Link
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  • Kim S, Choo S, Lee G, et al. Predicting Demand for Shared E-Scooter Using Community Structure and Deep Learning Method[J]. Sustainability, 2022, 14(5): 2564. Link
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  • Tran Q H, Fang Y M, Chou T Y, et al. Short-Term Traffic Speed Forecasting Model for a Parallel Multi-Lane Arterial Road Using GPS-Monitored Data Based on Deep Learning Approach[J]. Sustainability, 2022, 14(10): 6351. Link
  • Qi Q, Cheng R, Ge H. Short-Term Travel Demand Prediction of Online Ride-Hailing Based on Multi-Factor GRU Model[J]. Sustainability, 2022, 14(7): 4083. Link
  • Li M, Li M, Liu B, et al. Spatio-Temporal Traffic Flow Prediction Based on Coordinated Attention[J]. Sustainability, 2022, 14(12): 7394. Link