Inferring Exhaust Gases Levels using Taxi Service and Meteorological Data: An Experiment in the City of Porto, Portugal

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Veloso, M (Autor) Outra; Pedro M. d'Orey (Autor) FEUP; Phithakkitnukoon, S (Autor) Outra; Bento, C (Autor) Outra; Michel Ferreira (Autor) FCUP

Ata de Conferência Internacional

Título: IEEE 19th International Conference on Intelligent Transportation Systems: Proceedings

Páginas: 1970-1975

ITSC 2016 - 19th IEEE International Conference on Intelligent Transportation Systems

Rio de Janeiro, 1 de novembro de 2016

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00M-AME

DOI: 10.1109/ITSC.2016.7795874

Abstract (EN): In this work, we study exhaust gas concentration patterns in Porto, Portugal, and explore techniques to estimate the level of NO2 concentrations using taxi service and meteorological data as sensors. The exploratory analysis revealed daily and seasonal patterns of exhaust gases, with higher concentrations in the morning and on colder months. Based on nine months of data, we are able to estimate the concentration of NO2 using a multilayer perceptron (r = 0.7358) and linear regression (r = 0.5407). The analysis was extended to estimate NO and NOx, showing a lower performance.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6