A multimodal deep fusion framework for highway traffic anomaly detection
Abstract This paper presents a novel framework for detecting and predicting abnormal traffic events on highways. Traditional traffic monitoring systems often rely on a single data source, which limits detection accuracy and robustness in complex environments. To address these challenges, we propose...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-09-01
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| Schriftenreihe: | Scientific Reports |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1038/s41598-025-18671-x |
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