Analysis and Visualization of Urban Emission Measurements in Smart Cities

Dirk Ahlers, Frank Alexander Kraemer, Anders Eivind Braten, Xiufeng Liu, Fredrik Anthonisen, Patrick Arthur Driscoll, John Krogstie

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    Abstract

    Cities worldwide aim to reduce their greenhouse gas emissions and improve air quality for their citizens. Therefore, there is a need to implement smart city approaches to monitor, model, and understand local emissions to better guide these actions. We present our approach that deploys a number of low-cost sensors through a wireless Internet of Things (IoT) backbone and is thus capable of collecting high-granular data. Based on a flexible architecture, we built an ecosystem of data management and data analytics including processing, integration, analysis, and visualization as well as decision-support systems for cities to better understand their emissions. Our prototype system has so far been tested in two Scandinavian cities. We present this system and demonstrate how to collect, integrate, analyze, and visualize real-time air quality data.
    Original languageEnglish
    Title of host publicationProceedings of the 21st International Conference on Extending Database Technology (EDBT)
    Number of pages4
    PublisherOpenProceedings.org
    Publication date2018
    ISBN (Electronic)978-3-89318-078-3
    Publication statusPublished - 2018
    Event21st International Conference on Extending Database Technology (EDBT) - Vienna, Austria
    Duration: 26 Mar 201829 Mar 2018
    http://edbticdt2018.at/?main

    Conference

    Conference21st International Conference on Extending Database Technology (EDBT)
    Country/TerritoryAustria
    CityVienna
    Period26/03/201829/03/2018
    Internet address

    Bibliographical note

    Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0.

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