- Huang X, Lan Y, Ye Y, et al. Traffic Flow Prediction Based on Multi-Mode Spatial-Temporal Convolution of Mixed Hop Diffuse ODE[J]. Electronics, 2022, 11(19): 3012. Link
- Hu Z, Shao F, Sun R. A New Perspective on Traffic Flow Prediction: A Graph Spatial-Temporal Network with Complex Network Information[J]. Electronics, 2022, 11(15): 2432. Link
- Liu Z, Bian J, Zhang D, et al. Dynamic Multi-View Coupled Graph Convolution Network for Urban Travel Demand Forecasting[J]. Electronics, 2022, 11(16): 2620. Link
- Han S Y, Sun Q W, Yang X H, et al. Adaptation Scheduling for Urban Traffic Lights via FNT-Based Prediction of Traffic Flow[J]. Electronics, 2022, 11(4): 658. Link
- Zou F, Ren Q, Tian J, et al. Expressway Speed Prediction Based on Electronic Toll Collection Data[J]. Electronics, 2022, 11(10): 1613. Link
- Han X, Gong S. LST-GCN: Long Short-Term Memory Embedded Graph Convolution Network for Traffic Flow Forecasting[J]. Electronics, 2022, 11(14): 2230. Link
- Li Z, Wang L, Wang D, et al. Short-Term Traffic-Flow Forecasting Based on an Integrated Model Combining Bagging and Stacking Considering Weight Coefficient[J]. Electronics, 2022, 11(9): 1467. Link Data
- Han S Y, Sun Q W, Zhao Q, et al. Traffic Forecasting Based on Integration of Adaptive Subgraph Reformulation and Spatio-Temporal Deep Learning Model[J]. Electronics, 2022, 11(6): 861. Link
- Ahmed I, Kumara I, Reshadat V, et al. Travel Time Prediction and Explanation with Spatio-Temporal Features: A Comparative Study[J]. Electronics, 2022, 11(1): 106. Link Data