Visual analysis of environmental noise data
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Document typeConference report
Defense date2022
PublisherIADIS Press
Rights accessRestricted access - publisher's policy
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Abstract
Smart cities generate a large amount of information that, if used properly, can help improve people's quality of life, while providing environmental support. Decreasing pollution generated by noise, is a prevailing concern, in today's society. A group of experts has collected data in different areas of l'Escaldes-Engordany, in Andorra. These areas have been separated according to traffic policies, i.e., the fully pedestrian ones, the fully vehicular ones, and the combined ones. Analyzing the resulting data may be a complex task, where optimal tools are not available; hence, we have developed a visualization application that allows comparisons and analysis. The main purpose is to improve the conditions in decision making, by having accurate information so that policymakers may have a better understanding of how different transit levels configure the noise landscape, and how contrasting sounds are distributed throughout time. To achieve this, we have developed a visualization application that allows overviewing, detailed individual analysis, and comparative views to parameterize the results of the policies adopted and be in a better position to improve them.
CitationFranco Moreno, J.; Alsina, R.; Vazquez, P. Visual analysis of environmental noise data. A: International Conference on Computer Graphics, Visualization, Computer Vision and image Processing. "Proceedings of the International conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2022; Connected Smart Cities 2022; Big Data Analytics, Data Mining and Computational Intelligence 2022 and Theory and Practice in Modern Computing 2022: July 19-22, 2022". IADIS Press, 2022, p. 45-53. ISBN 978-989-8704-42-9.
ISBN978-989-8704-42-9
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