USA
Colombia
J. Bernal-Sanchez, J. Riascos-Ochoa, "Traffic Forecasting in Bogota, Colombia, with Attention Temporal Graph Convolutional Networks (A3T-GCN)", International Conference on Applied Information, 2024.
China
G. Li, J. Wang, Z. Zhao , Y. Chen, L. Tang, Q. Li, "Advancing Complex Urban Traffic Forecasting: A Fully Attentional Spatial-Temporal Network Enhanced by Graph Representation", International Journal of Applied Earth Observation and Geoinformation, Volume 134, 2024.
Z. Yu, S. Fadilah, A. Shariff, “MHCAGAT: A Meta Hybrid Convolution Attention Network for Urban Traffic Flow Prediction”, IEEE Access, 2025.
Japan
R. Jiang, Z. Wang, J. Yong, P. Jeph, Q. Cheng , Y. Kobayashi, X. Song,S. Fukushima, T. Suzumura, "Spatio-temporal Meta-Graph Learning For Traffic Forecasting", AAAI Conference on Artificial Intelligence, Volume 37, 2023.
India
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.
P. Patil, V. Mittal, D. Mondhe, A. Upadhyay, N. Giri, “Exploring the Efficacy of Graph Neural Networks in Predicting Traffic Flow in India”, Journal of Information Systems Engineering and Management, pages 118-124, 2025.
Spain
M. Folgado, V. Sanz, J. Hirn, E. Lorenzo-Saez, J. Urchueguia, “Towards Predictive Pollution Control Through Traffic Flux Forecasting with Deep Learning: A Case Study in the City of Valencia”, Applied AI Letters, Volume 6, Issue1, February 2025.
C. Lanza, E. Angelats, M. Miozzo, P. Dini, "Urban Traffic Forecasting using Federated and Continual Learning", IEEE Conference on Cloud and Internet of Things, CIoT 2023, 2023.
E. Manibardo, I. Lana, J. Ser, "Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls", International Conference on Intelligent Transportation Systems, ITSC 2020, pages 1-6, Rhodes, Greece, 2020.
Belgium
S. Moghadas and Y. Lyu and B. Cornelis, "STRADA: Spatial-Temporal Dashboard For Traffic Forecasting", IEEE International Conference on Mobile Data Management, MDM 2024, pages 251-254, 2024.
Greece
P. Fafoutellis , E. Vlahogianni, “A Theory-Informed Multivariate Causal Framework for Trustworthy Short-Term Urban Traffic Forecasting”, Transportation Research Part C: Emerging Technologies, January 2025.