Learning GPS Point Representations to Detect Anomalous Bus Trajectories
Discovering anomalous bus trajectories can benefit transportation agencies to improve their services by helping them to deal with unexpected events such as detours or accidents. In this work, we propose a deep-learning strategy, which we name Spatial-Temporal Outlier Detector (STOD), that predicts t...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2020-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/9305190/ |
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