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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...
Autores principales: | Rivera-Campoverde, Néstor Diego, Muñoz-Sanz, José Luis, Arenas-Ramirez, Blanca del Valle |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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