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

doi:10.5441/002/edbt.2018.88

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

Norwegian University of Science and Technology
AIA Science

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Advances in Database Technology - EDBT
Number of pages	4
Volume	2018-March
Publisher	OpenProceedings.org
Publication date	2018
Pages	698-701
ISBN (Electronic)	978-3-89318-078-3
DOIs	https://doi.org/10.5441/002/edbt.2018.88
Publication status	Published - 2018
Event	21st International Conference on Extending Database Technology (EDBT) - Vienna, Austria Duration: 26 Mar 2018 → 29 Mar 2018 http://edbticdt2018.at/?main

Conference

Conference	21st International Conference on Extending Database Technology (EDBT)
Country/Territory	Austria
City	Vienna
Period	26/03/2018 → 29/03/2018
Internet address	http://edbticdt2018.at/?main

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.5441/002/edbt.2018.88

Full textFinal published version, 3.71 MB

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CTT: Carbon Track and Trace
Liu, X. (Project Participant) & Nielsen, P. S. (PI)
10/09/2016 → 30/09/2018
Project: Research

Cite this

@inproceedings{21618b5173ad4b769163a404cb91bdf9,

title = "Analysis and Visualization of Urban Emission Measurements in Smart Cities",

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.",

author = "Dirk Ahlers and Kraemer, \{Frank Alexander\} and Braten, \{Anders Eivind\} and Xiufeng Liu and Fredrik Anthonisen and Driscoll, \{Patrick Arthur\} and John Krogstie",

note = "Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0.; 21st International Conference on Extending Database Technology (EDBT) ; Conference date: 26-03-2018 Through 29-03-2018",

year = "2018",

doi = "10.5441/002/edbt.2018.88",

language = "English",

volume = "2018-March",

pages = "698--701",

booktitle = "Advances in Database Technology - EDBT",

publisher = "OpenProceedings.org",

url = "http://edbticdt2018.at/?main",

}

Ahlers, D, Kraemer, FA, Braten, AE, Liu, X, Anthonisen, F, Driscoll, PA & Krogstie, J 2018, Analysis and Visualization of Urban Emission Measurements in Smart Cities. in Advances in Database Technology - EDBT. vol. 2018-March, OpenProceedings.org, pp. 698-701, 21st International Conference on Extending Database Technology (EDBT), Vienna, Austria, 26/03/2018. https://doi.org/10.5441/002/edbt.2018.88

TY - GEN

T1 - Analysis and Visualization of Urban Emission Measurements in Smart Cities

AU - Ahlers, Dirk

AU - Kraemer, Frank Alexander

AU - Braten, Anders Eivind

AU - Liu, Xiufeng

AU - Anthonisen, Fredrik

AU - Driscoll, Patrick Arthur

AU - Krogstie, John

N1 - Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.5441/002/edbt.2018.88

DO - 10.5441/002/edbt.2018.88

M3 - Article in proceedings

VL - 2018-March

SP - 698

EP - 701

BT - Advances in Database Technology - EDBT

PB - OpenProceedings.org

T2 - 21st International Conference on Extending Database Technology (EDBT)

Y2 - 26 March 2018 through 29 March 2018

ER -

Analysis and Visualization of Urban Emission Measurements in Smart Cities

Abstract

Conference

Bibliographical note

UN SDGs

Access to Document

OpenUrl availability

Fingerprint

Projects

CTT: Carbon Track and Trace

Cite this