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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Principais autores:	Rogelio Bustamante-Bello, Alec García-Barba, Luis A. Arce-Saenz, Luis A. Curiel-Ramirez, Javier Izquierdo-Reyes, Ricardo A. Ramirez-Mendoza
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-01-01
coleção:	Sensors
Assuntos:	smart mobility V2I fog computing smart cities intelligent transport systems
Acesso em linha:	https://www.mdpi.com/1424-8220/22/2/456
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