Cargando…
A novel traffic accident detection method with comprehensive traffic flow features extraction
With the rapidly increasing of automobiles, traffic accidents are gradually becoming more frequent. This creates a great need for effective traffic anomaly detection algorithms. Existing methods shed light on directly inferring the abnormalities from traffic flow, which is short in features extracti...
Autores principales: | Zhu, Liping, Wang, Bingyao, Yan, Yihan, Guo, Shuang, Tian, Gangyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048618/ https://www.ncbi.nlm.nih.gov/pubmed/35505902 http://dx.doi.org/10.1007/s11760-022-02233-z |
Ejemplares similares
-
Road Traffic Accidents in Kazakhstan
por: AUBAKIROVA, Alma, et al.
Publicado: (2013) -
The Importance of Humanistic Approach to Traffic Accidents
por: Lankarani, Kamran B
Publicado: (2019) -
Traffic accidents under the influence of alcohol
por: Saß, Anke-Christine, et al.
Publicado: (2016) -
LLM Multimodal Traffic Accident Forecasting
por: de Zarzà, I., et al.
Publicado: (2023) -
Deep Encrypted Traffic Detection: An Anomaly Detection Framework for Encryption Traffic Based on Parallel Automatic Feature Extraction
por: Long, Gang, et al.
Publicado: (2023)