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.
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CITATION STYLE
Macià, H., Díaz, G., Boubeta-Puig, J., Valero, E., & Valero, V. (2019). Combining fuzzy logic and CEP technology to improve air quality in cities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11540 LNCS, pp. 559–565). Springer Verlag. https://doi.org/10.1007/978-3-030-22750-0_51
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