Visualizing Street Pavement Anomalies through Fog Computing V2I Networks and Machine Learning

Analyzing data related to the conditions of city streets and avenues could help to make better decisions about public spending on mobility. Generally, streets and avenues are fixed as soon as they have a citizen report or when a major incident occurs. However, it is uncommon for cities to have real-...

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Detalles Bibliográficos
Autores principales: Bustamante-Bello, Rogelio, García-Barba, Alec, Arce-Saenz, Luis A., Curiel-Ramirez, Luis A., Izquierdo-Reyes, Javier, Ramirez-Mendoza, Ricardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781838/
https://www.ncbi.nlm.nih.gov/pubmed/35062417
http://dx.doi.org/10.3390/s22020456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781838/
https://www.ncbi.nlm.nih.gov/pubmed/35062417
http://dx.doi.org/10.3390/s22020456

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