Data Analytics for Smart Parking Applications

We consider real-life smart parking systems where parking lot occupancy data are collected from field sensor devices and sent to backend servers for further processing and usage for applications. Our objective is to make these data useful to end users, such as parking managers, and, ultimately, to c...

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Detalles Bibliográficos
Autores principales: Piovesan, Nicola, Turi, Leo, Toigo, Enrico, Martinez, Borja, Rossi, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087364/
https://www.ncbi.nlm.nih.gov/pubmed/27669259
http://dx.doi.org/10.3390/s16101575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087364/
https://www.ncbi.nlm.nih.gov/pubmed/27669259
http://dx.doi.org/10.3390/s16101575

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