Traffic Prediction

Multi-modal spatio-temporal forecasting (MM-STF) supports weather nowcasting, traffic prediction, and earth-system modeling by combining heterogeneous sources such as physical fields, satellite imagery, and in-situ senso…

A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction

2026-08-26 · Quan Yu, Jie Ni, Yu-Hong Dai, Xiongjun Zhang arxiv

Accurate online traffic prediction is essential for intelligent transportation systems, where forecasting must be performed continuously under imperfect sensing conditions. Missing observations and anomalous disturbances…

Traffic Prediction

An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks

2026-07-29 · Luca Barbieri, Gianluca Fontanesi, Lorenzo Galati Giordano, Alfonso Fernandez Duran 외 arxiv

Centrally-managed Wi-Fi solutions are increasingly leveraging Distributed Artificial Intelligence (AI) to predict key operational statistics of Access Points (APs) and proactively optimize network performance. In this co…

Traffic Prediction Federated Learning

Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions

2026-07-29 · Truong Giang Vu, Li Yang, Richard W. Pazzi arxiv

Traffic prediction is a core task in intelligent transportation systems, supporting applications such as adaptive signal control, route guidance, and ride-hailing dispatch. Deep learning models, including graph convoluti…

Neural Architecture Search Traffic Prediction

Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

2026-06-26 · Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast arxiv

Accurate network traffic prediction is a critical element for efficient resource allocation in dynamic urban cellular networks. However, prediction remains challenging because network demand is influenced by complex mobi…

Traffic Prediction

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting

2026-06-25 · Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai 외 arxiv

Long-term time series forecasting (LTSF) plays a crucial role in fields such as energy management, finance, and traffic prediction. Transformer-based models have adopted patch-based strategies to capture long-range depen…

Time Series Forecasting Traffic Prediction

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