V. Chauhan, A. Tiwari, A. Kumar, “An attention mechanism-based hybrid TimeAttentionBiLSTM architecture for long-term traffic forecasting”, Journal of Supercomputing, 2025.
M. Das, C. Chinnappan, “A Temporal Attention-Based SARIMA-BiLSTM Residual Learning Model Tuned by Grey Wolf Optimizer for Parallel Urban Traffic Forecasting”, IEEE Access, 2025.
A. Li, J. Li, “A hybrid spatiotemporal LSTM and transformer network for cellular traffic prediction”, Computer Networks, 2025.
C. Ting, K. Wu, H. Lin, S. Lin, “MixModel: A Hybrid TimesNet–Informer Architecture with 11-Dimensional Time Features for Enhanced Traffic Flow Forecasting”, Mathematics, 2025.
Z. Lin, D. Wang, C. Cao, H. Xie, T. Zhou, C. Cao, "GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting", Mathematics, 2025.
G. Liu, “DARVFL-LSTM: a time series prediction model integrating dynamic regularization and attention mechanism”, Journal of Supercomputing, 2025.
L. Fu, T .Wang, M. Ouyang, L. Zhao, X. Yin, "ATCN-BiGRU: A hybrid deep learning framework based temporal convolutional network and stacked bidirectional gate recurrent units for traffic flow prediction in urban scenarios”, Engineering Applications of Artificial Intelligence, 2025.
A. Ji, Z. Liu, L. Su, Z. Dai, “A hybrid framework for spatio-temporal traffic flow prediction with multi-scale feature extraction”, Information Sciences, 2025.
A. Panda, D. Dogra, D. Dey, “Prediction of Short-Term Traffic Flow Using a Hybrid Architecture”, Communications in Computer and Information Science, 2026.
B. Shen, Z. Wang, G. Ling, H. Wang, J. Cheng, “MFMA–Informer: A Short-Term Traffic Flow Prediction Model Incorporating Spatiotemporal Features”, Journal of Transportation Engineering Part A: Systems, 2026.