Estimation of Pollutant Emissions in Real Driving Conditions Based on Data from OBD and Machine Learning

This article proposes a methodology for the estimation of emissions in real driving conditions, based on board diagnostics data and machine learning, since it has been detected that there are no models for estimating pollutants without large measurement campaigns. For this purpose, driving data are...

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Detalles Bibliográficos
Autores principales: Rivera-Campoverde, Néstor Diego, Muñoz-Sanz, José Luis, Arenas-Ramirez, Blanca del Valle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513018/
https://www.ncbi.nlm.nih.gov/pubmed/34640664
http://dx.doi.org/10.3390/s21196344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513018/
https://www.ncbi.nlm.nih.gov/pubmed/34640664
http://dx.doi.org/10.3390/s21196344

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