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Published in:
2019 | OriginalPaper | Chapter
Combining Fuzzy Logic and CEP Technology to Improve Air Quality in Cities
Authors : Hermenegilda Macià, Gregorio Díaz, Juan Boubeta-Puig, Edelmira Valero, Valentín Valero
Published in: Computational Science – ICCS 2019
Publisher: Springer International Publishing
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Abstract
Road traffic has become a main source of air pollution in urban areas. For this reason, governments are applying traffic regulations trying to fulfill the recommendations of Air Quality (AQ) standards in order to reduce the pollution level. In this paper, we present a novel proposal to improve AQ in cities by combining fuzzy logic and Complex Event Processing (CEP) technology. In particular, we propose a flexible fuzzy inference system to improve the decision-making process by recommending the actions to be carried out on each pollution scenario. This fuzzy inference system is fed with pollution data obtained by a CEP engine and weather forecast from domain experts.