Real-time urban traffic flow prediction and congestion cause analysis based on multimodal open-source data and deep learning
Accurate prediction of urban traffic flow and timely identification of congestion causes are essential for intelligent transportation systems. However, existing approaches typically rely on single-modality traffic data and fail to incorporate contextual factors such as weather conditions, special events, and road netwo...