Detecting Abnormal Vehicular Dynamics at Intersections Based on an Unsupervised Learning Approach and a Stochastic Model

This investigation demonstrates an unsupervised approach for modeling traffic flow and detecting abnormal vehicle behaviors at intersections. In the first stage, the approach reveals and records the different states of the system. These states are the result of coding and grouping the historical mot...

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Detalles Bibliográficos
Autores principales: Jiménez-Hernández, Hugo, González-Barbosa, Jose-Joel, Garcia-Ramírez, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231172/
https://www.ncbi.nlm.nih.gov/pubmed/22163616
http://dx.doi.org/10.3390/s100807576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231172/
https://www.ncbi.nlm.nih.gov/pubmed/22163616
http://dx.doi.org/10.3390/s100807576

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