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

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

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

Conference proceedings International

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

Pages: 1970-1975

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

Rio de Janeiro, 1 de novembro de 2016

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Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6