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Open access Jul 2026

Research on Traffic Risk Prediction Model Based on Multimodal Spatiotemporal Fusion Deep Learning

A multimodal spatiotemporal deep learning model fusing Multi-view Graph Convolutional Network, Transformer and Temporal Convolutional Network is proposed to realize binary traffic risk prediction at the 10×10 grid level to meet the actual business needs of urban traffic risk prediction.

Yusen Liu · 0 citations