A smart city dashboard for combining and analysing multi-source data streams

Ann Gledson; Norman Paton; Thamer  Ba Dhafari

doi:10.1109/HPCC/SmartCity/DSS.2018.00226

A smart city dashboard for combining and analysing multi-source data streams

Ann Gledson, Norman Paton, Thamer Ba Dhafari

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

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Abstract

Smart city projects are making available numerous, diverse, potentially valuable data streams. However, it is cumbersome and laborious for domain experts to identify, analyse and inter-relate such streams. In this paper we describe a system that is designed to support these users to obtain an understanding of key features of individual streams, and to undertake a variety of analyses that inter-relate multiple streams. Three case studies are presented, showing the use of the system to process live car-park, weather, building energy consumption and bicycle journey data from the CityVerve Smart City project in Manchester.

Original language	English
Title of host publication	20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.
ISBN (Electronic)	978-1-5386-6614-2
DOIs	https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00226
Publication status	Published - 2019
Event	16th IEEE International Conference on Smart City - Exeter, United Kingdom Duration: 28 Jun 2018 → 30 Jun 2018

Conference

Conference	16th IEEE International Conference on Smart City
Abbreviated title	SmartCity 2018
Country/Territory	United Kingdom
City	Exeter
Period	28/06/18 → 30/06/18

UN SDGs

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

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10.1109/HPCC/SmartCity/DSS.2018.00226

SmartCity_2018_A_smart_city_dashboardAccepted author manuscript, 1.31 MB

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Gledson, A., Paton, N., & Ba Dhafari, T. (2019). A smart city dashboard for combining and analysing multi-source data streams. In 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018. https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00226

Gledson, Ann ; Paton, Norman ; Ba Dhafari, Thamer . / A smart city dashboard for combining and analysing multi-source data streams. 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.. 2019.

@inproceedings{3b3ac97154f1404d8928ad45211bdc59,

title = "A smart city dashboard for combining and analysing multi-source data streams",

abstract = "Smart city projects are making available numerous, diverse, potentially valuable data streams. However, it is cumbersome and laborious for domain experts to identify, analyse and inter-relate such streams. In this paper we describe a system that is designed to support these users to obtain an understanding of key features of individual streams, and to undertake a variety of analyses that inter-relate multiple streams. Three case studies are presented, showing the use of the system to process live car-park, weather, building energy consumption and bicycle journey data from the CityVerve Smart City project in Manchester.",

author = "Ann Gledson and Norman Paton and {Ba Dhafari}, Thamer",

year = "2019",

doi = "10.1109/HPCC/SmartCity/DSS.2018.00226",

language = "English",

booktitle = "20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.",

note = "16th IEEE International Conference on Smart City, SmartCity 2018 ; Conference date: 28-06-2018 Through 30-06-2018",

}

Gledson, A, Paton, N & Ba Dhafari, T 2019, A smart city dashboard for combining and analysing multi-source data streams. in 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.. 16th IEEE International Conference on Smart City, Exeter, United Kingdom, 28/06/18. https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00226

A smart city dashboard for combining and analysing multi-source data streams. / Gledson, Ann; Paton, Norman; Ba Dhafari, Thamer .
20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.. 2019.

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

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T1 - A smart city dashboard for combining and analysing multi-source data streams

AU - Gledson, Ann

AU - Paton, Norman

AU - Ba Dhafari, Thamer

PY - 2019

Y1 - 2019

N2 - Smart city projects are making available numerous, diverse, potentially valuable data streams. However, it is cumbersome and laborious for domain experts to identify, analyse and inter-relate such streams. In this paper we describe a system that is designed to support these users to obtain an understanding of key features of individual streams, and to undertake a variety of analyses that inter-relate multiple streams. Three case studies are presented, showing the use of the system to process live car-park, weather, building energy consumption and bicycle journey data from the CityVerve Smart City project in Manchester.

AB - Smart city projects are making available numerous, diverse, potentially valuable data streams. However, it is cumbersome and laborious for domain experts to identify, analyse and inter-relate such streams. In this paper we describe a system that is designed to support these users to obtain an understanding of key features of individual streams, and to undertake a variety of analyses that inter-relate multiple streams. Three case studies are presented, showing the use of the system to process live car-park, weather, building energy consumption and bicycle journey data from the CityVerve Smart City project in Manchester.

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DO - 10.1109/HPCC/SmartCity/DSS.2018.00226

M3 - Conference contribution

BT - 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.

T2 - 16th IEEE International Conference on Smart City

Y2 - 28 June 2018 through 30 June 2018

ER -

Gledson A, Paton N, Ba Dhafari T. A smart city dashboard for combining and analysing multi-source data streams. In 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.. 2019 Epub 2019 Jan 24. doi: 10.1109/HPCC/SmartCity/DSS.2018.00226

A smart city dashboard for combining and analysing multi-source data streams

Abstract

Conference

UN SDGs

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