Encoder-Decoder Transformer
M. Omar, F. Yakub, M. Talip, M. Maslan, V. Sinha, M. Muljono, "Single Block Encoder-Decoder Transformer Model for Multi-Step Traffic Flow Forecasting", IEEE Symposium on Computers and Informatics, ISCI 2024, pages 299-304, 2024.
CCDSReformer
Z. Shao, M. Bell, Z. Wang, D. Geers, X. Yao, J. Gao, ,“CCDSReformer: Traffic-Flow Prediction with a Criss-Crossed Dual-Stream Enhanced,Rectified Transformer Model”, Communications in Transportation Research, Volume 202, page 104282, 2024.
EOT
M. Omar, F. Yakub, A. Wijaya, A. Mohammad, M. Masla, I. Dhamanti, "Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction", IEEE Access, June 2025.
STPSformer
J. Lu, D. Wang, Z. Wang, "STPSformer: Spatial-Temporal ProbSparse Transformer for Long-Term Traffic Flow Forecasting", International Joint Conference on Neural Networks, IJCNN 2024, 2024.
DSFormer-LRTC
J. Zhao, F. Zhuo, Q. Sun, Q. Li, Y. Hua, J. Zhao, "DSFormer-LRTC: Dynamic Spatial Transformer for Traffic Forecasting With Low-Rank Tensor Compression", IEEE Transactions on Intelligent Transportation Systems, Volume 25, pages 16323-16335, 2024.
MVSTT
B. Pu, J. Liu, Y. Kang, J. Chen, P. Yu, "MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting", IEEE Transactions on Cybernetics, Volume 54, pages 1582-1595, 2024.
DSTET
W. Sun, Y. Jiao, J. Gao, Z. Zheng, N. Lu, "Transformer Network with Decoupled Spatial–Temporal Embedding For Traffic Flow Forecasting", Applied Intelligence, Volume 53, 2023.
ADCT-Net
J. Kong, X. Fan, M. Zuo, M. Deveci, X. Jin, K. Zhong, "ADCT-Net: Adaptive Traffic Forecasting Neural Network via Dual-Graphic Cross-Fused Transformer", Information Fusion, 2024.
STHGFormer
G. Li, Z. Zhao, X. Guo, L. Tang, H. Zhang, J. Wang, "Towards Integrated and Fine-Grained Traffic Forecasting: A Spatio-Temporal Heterogeneous Graph Transformer Approach", Information Fusion, February 2024.
TSANet
K. Kumar, D. Roy, T. Suman, C. Vishnu, C. Mohan,"TSANet: Forecasting Traffic Congestion Patterns From Aerial Videos using Graphs and Transformers", Pattern Recognition, 2024.
STGM
M. Lablack, Y. Shen, "Spatio-Temporal Graph Mixformer For Traffic Forecasting", Expert Systems with Applications, Volume 228, 2023.
ASTRformer
R. Wang, L. Xi, J. Ye, F. Zhang, X. Yu, L. Xu, "Adaptive Spatio-Temporal Relation based Transformer for Traffic Flow Prediction", IEEE Transactions on Vehicular Technology, Volume 74, No. 2, pages 2220-2230, February 2025.
LTSMamba
X. Peng, R. Ni, Y. Jiang, “LTSMamba: A Long-Term Time Series Forecasting Model based on Mamba-2”, International Conference on Advanced Data Mining and Applications, 2024.
ST-MambaSync
Z. Shao, Z. Wang, X. Yao, M. Bell, J. Gao “ST-MambaSync: Complement The Power of Mamba and Transformer Fusion For Less Computational Cost In Spatial–Temporal Traffic Forecasting”, Information Fusion, Volume 117, May 2025.
Transfer-Mamba
S. Cheng, S. Wu, J. Zhang, “Transfer-Mamba: Selective State Space Models with Spatio-Temporal Knowledge Transfer For Few-Shot Traffic Prediction Across Cities”, Simulation Modelling Practice and Theory, Volume 140, April 2025.
DCCMamba
S. Liang, Z. Wang, C. Zhao, Y. Huang, J. Xu, Y. Yang, "DCCMamba: A Dual-stream Cross-time and Cross-feature with Mamba for Multivariate Time Series Forecasting", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, 2025.
iTransMamba
J. Cao, X. Sheng, J. Zhang, Z. Duan “iTransMamba: A Lightweight Spatio-Temporal Network Based on Long-Term Traffic Flow Forecasting”, Knowledge-Based Systems, March 2025.
ASTCMamba
S. Xu, S. Li, R. Xing, K. Zhu, “ASTCMamba: Mining Periodic Patterns from Spatio-Temporal Relationships for Traffic Forecasting”, Preprint, June 2025.
SWRVM
G. Peng, Y. Zhong, "SWRVM: Sliding Window Recurrent Vision Mamba Model for Long-term Spatial-temporal Prediction”, IEEE Access, March 2025.
uTransformer
J. Li, W. Dong, X. Gui, “uTransformer: Unified Spatial-Temporal Transformer With External Factors For Traffic Flow Forecasting”, The Journal of Supercomputing, 2025.
CDGIT
Z. Yang, Y. Chen, "Cross-Dimensional Global Interactive Transformer For Traffic Forecasting”, Digital Signal Processing: A Review Journal, Volume 159, April 2025.
TrafficFormer
A. Chang, Y. Ji, Y. Bie, "Transformer-based Short-Term Traffic Forecasting Model Considering Traffic Spatiotemporal Correlation", Frontiers in Neurorobotics, Volume 19, 2025.
PatchST
J. Li, G. Zhang, W. Wang, Y. Wang, "PatchST: A Patch Spatial-Temporal Network for Large-Scale Traffic Forecasting", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, 2025.
PatchSTG
Y. Fang, Y. Liang, B. Hui, Z. Shao, L. Deng, X. Liu, X. Jiang, K. Zheng,“Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Perspective”, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025, pages 307-317, 2025.
TWIST
P. Wang, L. Feng, W. Zhang, K. Hui, "TWIST: An Efficient Spatial-Temporal Transformer with Temporal Window and Sparse Attention for Traffic Forecasting", IEEE Internet of Things Journal, 2025.
MapsTSF
B. Wang, C. Cai, X. Zhang, C. Zhao, C. Zhang, Y. Zhang, “MapsTSF: Efficient Traffic Prediction Via Hybrid Mamba 2-Transformer Spatiotemporal Modeling and Cross Adaptive Periodic Sparse Forecasting”, Journal of Supercomputing, May 2025.
STDformer
H. Wan, H. Xu, L. Xie, “Spatial-Temporal Traffic Flow Prediction Through Residual-Trend Decomposition with Transformer Architecture”, MDPI Electronics, June 2025.
TLAST
Q. Zheng, M. Shao, Y. Zhang, "TLAST: A Time-Lag Aware Spatial-Temporal Transformer for Traffic Flow Forecasting”, IEEE Transactions on Intelligent Transportation Systems, July 2025.
TGAN
B. Liu, L. Yuan, X. Shao, E. Wang, Z. Xia, W. Han"Transformer-Based Generative Adversarial Network for Traffic Forecasting," Transactions on Consumer Electronics, 2025.
DETNO
O. Ahmad, M. Ramezankhani, A. Deodhar, "DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting", Preprint, 2025.