Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks
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Otros documentos de la autoría: Ramos, Jose Francisco; Trilles, Sergio; Muñoz, Andrés; Huerta, Joaquin
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Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor NetworksFecha de publicación
2018Editor
MDPIISSN
1424-8220Cita bibliográfica
RAMOS, Francisco, et al. Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks. Sensors, 2018, 18.8: 2507Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/1424-8220/18/8/2507Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Nowadays, citizens have a huge concern about the quality of life in their cities,
especially regarding the level of pollution. Air quality level is of great importance, not only to
plan our activities but also to ... [+]
Nowadays, citizens have a huge concern about the quality of life in their cities,
especially regarding the level of pollution. Air quality level is of great importance, not only to
plan our activities but also to take precautionary measures for our health. All levels of governments
are concerned about it and have built their indexes to measure the air quality level in their countries,
regions or cities. Taking into account the existing sensor infrastructure within smart cities, it makes
possible to evaluate these indices and to know anywhere the level of pollution in real-time. In this
scenario, the main objective of the current work is to foster citizens’ awareness about pollution by
offering pollution-free routes. To achieve this goal, a technology-agnostic methodology is presented,
which allows for creating pollution-free routes across cities depending on the level of pollution in
each zone. The current work includes an extensive study of existing air quality indices, and proposes
and carries forward to deployment of the defined methodology in a big city, such as Madrid (Spain). [-]
Publicado en
Sensors, 2018, vol. 18, núm. 8Proyecto de investigación
This research was funded by the Universitat Jaume I—PINV 2017 grant number [UJI-A2017-14]. And Sergio Trilles has been funded by the postdoctoral programme Vali+d (GVA) grant number [APOSTD/2016/058]Derechos de acceso
info:eu-repo/semantics/openAccess
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