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Context- and situation prediction for the MyAQI urban air quality monitoring system

conference contribution
posted on 2019-01-01, 00:00 authored by D Schürholz, Arkady ZaslavskyArkady Zaslavsky, S Kubler
© 2019, Springer Nature Switzerland AG. Predicting the time and place where concentrations of pollutants will be the highest is critical for air quality monitoring- and early-warning systems in urban areas. Much of the research effort in this area is focused only on improving air pollution prediction algorithms, disregarding valuable environmental- and user-based context. In this paper we apply context-aware computing concepts in the MyAQI system, to develop an integral air quality monitoring and prediction application, that shifts the focus towards the individual needs of each end-user, without neglecting the benefits of the latest air pollution forecasting algorithms. We design and describe a novel context and situation reasoning model, that considers external environmental context, along with user based attributes, to feed into the prediction model. We demonstrate the adaptability and customizability of the design and the accuracy of the prediction technique in the implementation of the responsive MyAQI web application. We test the implementation with different user profiles and show the results of the system’s adaptation. We demonstrate the prediction model’s accuracy, when using extended context for 4 air quality monitoring stations in the Melbourne Region in Victoria, Australia.

History

Volume

11660

Pagination

77-90

Location

St. Petersburg, Russia

Start date

2019-08-26

End date

2019-08-28

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030308582

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Galinina O, Andreev S, Balandin S, Koucheryavy Y

Title of proceedings

NEW2AN & ruSMART 2019 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia, August 26–28, 2019, Proceedings

Event

Next Generation Wired/Wireless Networking & Internet of Things and Smart Spaces. Combined Conference (2019 : St. Petersburg, Russia)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Computer Science

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