CNN-LSTM
X. Dai, R. Fu, Y. Li, L. Li, F. Wang, "DeepTrend: A Deep Hierarchical Neural Network For Traffic Flow Prediction", Preprint, 2017.
1D-CNN
Y. Wu, H. Tan, "Short-Term Traffic Flow Forecasting with Spatial-Temporal Correlation in a Hybrid Deep Learning Framework", Preprint, 2016.
MACACNN
J. Zhang, J. Chen, G. Yang, C. Wu, "Traffic Flow Prediction Model based on Multi-Angle Attention Convolutional Network", IEEE International Conference on Computer Information Science and Application Technology, CISAT 2024, Hangzhou, China, 2024.
CAL
R. Chan, J. Lim, R.Parthiban, "Long-Term Traffic Speed Prediction Utilizing Data Augmentation Via Segmented Time Frame Clustering", Knowledge-Based Systems, January 2025.
DPSTCN
Z. Dou, D. Guo, "DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting", ISPRS International Journal of Geo-Information, Volume 14, Issue 1, January 2025.
DSTAN
X. Luo, C. Zhu, D. Zhang, Q. Li, “DSTAN: Attention-Enhanced Dynamic Spatial-Temporal Network For Traffic Forecasting”, World Wide Web, Volume 28, Issue 1, January 2025.
CAMLP
Q. Liu, H. Liang, G. Mao, L. Cai, Y. Yao, X. Hong, "Traffic Flow Prediction Based on Multi-Channel Input of Spiking Neural P Systems”, IEEE Internet of Things Journal, July 2025.
PCR
C. Zuo, X. Zhang, G. Zhao and L. Yan, "PCR: A Parallel Convolution Residual Network for Traffic Flow Prediction", IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 9, No. 4, pages 3072-3083, 2025.
MM-TSI
Q. Lv, L. Liu, R. Yang, Y. Wang, “Multimodal Urban Traffic Flow Prediction based on Multi-Scale Time Series Imaging “, Pattern Recognition, Volume164, 2025.
ST-RLNet
L. He, S. Shi, D. Zhang, W. Luo, “ST-RLNet: Spatio-Temporal Representation Learning for Multi-Step Traffic Flow Prediction”, Neurocomputing, 2025.