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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Marco Veloso | en_US |
| dc.contributor.author | Pedro M. D'Orey | en_US |
| dc.contributor.author | Santi Phithakkitnukoon | en_US |
| dc.contributor.author | Carlos Bento | en_US |
| dc.contributor.author | Michel Ferreira | en_US |
| dc.date.accessioned | 2018-09-05T02:57:09Z | - |
| dc.date.available | 2018-09-05T02:57:09Z | - |
| dc.date.issued | 2016-12-22 | en_US |
| dc.identifier.other | 2-s2.0-85010047787 | en_US |
| dc.identifier.other | 10.1109/ITSC.2016.7795874 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010047787&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/55489 | - |
| dc.description.abstract | © 2016 IEEE. 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. | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.title | Inferring Exhaust Gases Levels using Taxi Service and Meteorological Data: An Experiment in the City of Porto, Portugal | en_US |
| dc.type | Conference Proceeding | en_US |
| article.title.sourcetitle | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC | en_US |
| article.stream.affiliations | University of Coimbra, Centre for Informatics and System | en_US |
| article.stream.affiliations | Instituto Politcnico de Coimbra | en_US |
| article.stream.affiliations | Universidade do Porto | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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