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15. Spatio-Temporal Heterogeneous Graph Neural Network With Multi-view Learning For Traffic Prediction

16. Data-Driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting

17. Multi-views Enhanced Spatio-Temporal Adaptive Transformer for Urban Traffic Prediction

18. Network-Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: Deep-Learning Approach.

19. Spatial-temporal synchronous graphsage for traffic prediction: Spatial-temporal synchronous graphsage...: X. Yu et al.

20. ST-NAMN: a spatial-temporal nonlinear auto-regressive multichannel neural network for traffic prediction.

21. A two-level resolution neural network with enhanced interpretability for freeway traffic forecasting.

22. Spatial Performance Indicators for Traffic Flow Prediction.

23. A hybrid deep learning method for distracted driving risk prediction based on spatio-temporal driving behavior data.

24. Adjacency List Algorithm for Traffic Light Control Systems in Urban Networks.

25. TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction.

26. SSGCRTN: a space-specific graph convolutional recurrent transformer network for traffic prediction.

27. Decision support system (DSS) for traffic prediction and building a dynamic internet community using Netnography technology in the city of Amman.

28. Traffic flow prediction with multi-feature spatio-temporal coupling based on peak time embedding.

29. DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion.

30. Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network.

31. A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network

32. Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

33. A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network.

34. DSTSPYN: a dynamic spatial-temporal similarity pyramid network for traffic flow prediction: DSTSPYN: a dynamic spatial-temporal similarity pyramid network...: X. Wang et al.

35. Hybrid deep learning-based traffic congestion control in IoT environment using enhanced arithmetic optimization technique

36. A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction

37. Bibliometric Analysis of Data Analytics Techniques in Cloud Computing Resources Allocation

38. A computationally intelligent framework for traffic engineering and congestion management in software-defined network (SDN)

39. TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction

40. Hybrid deep learning-based traffic congestion control in IoT environment using enhanced arithmetic optimization technique.

41. Spatial-temporal memory enhanced multi-level attention network for origin-destination demand prediction.

42. STEFT: Spatio-Temporal Embedding Fusion Transformer for Traffic Prediction.

43. Enhancing Road Traffic Prediction Using Data Preprocessing Optimization.

44. Shanghai Transport Carbon Emission Forecasting Study Based on CEEMD-IWOA-KELM Model.

45. In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review.

46. Internet Traffic Classification Model Based on A-DBSCAN Algorithm.

47. Analysing Urban Traffic Patterns with Neural Networks and COVID-19 Response Data.

48. DSTLNet: Dynamic Spatial-Temporal Correlation Learning Network for Traffic Sensor Signal Prediction.

49. A computationally intelligent framework for traffic engineering and congestion management in software-defined network (SDN).

50. DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion