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Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving Style
The data validity of safe driving in the Internet of Vehicles (IoV) is the basis of improving the safety of vehicles. Different from a traditional information systems, the data anomaly analysis of vehicle safety driving faces the diversity of data anomaly and the randomness and subjectivity of the d...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891262/ https://www.ncbi.nlm.nih.gov/pubmed/31726718 http://dx.doi.org/10.3390/s19224926 |