Location Intelligence Application in Digital Data Activity Dimensioning in Smart Cities

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)
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Abstract

Cities around the globe are now following the "smart" trend. Smart cities are complex systems of systems that rely on IT to improve their efficiency in terms of economics or sustainability. Many of the activities involved in this context require data to be transferred via communication networks. However, due to the heterogeneity of the applications involved, different nature traffic patterns and number of connected elements (humans or machines), these data traffic flows become extremely complex to model. This work focuses on the application of location intelligence to simplify the modeling of data networks' activity in such complex systems. It is essential to describe and understand when and where data is generated to effectively design, plan and manage communication networks. We introduce a model based on traffic generation rules and patterns to be applied over Geographic Information Systems data to create "dynamic data activity heat maps". These heat maps provide a spatial-temporal overview of the behavior of network data in cities as a whole. In addition, we illustrate the model's application to a specific geographic area of relevance.
Original languageEnglish
JournalProcedia Computer Science
Volume36
Pages (from-to)418-424
ISSN1877-0509
DOIs
Publication statusPublished - 2014
EventComplex Adaptive Systems Philadelphia - Philadelphia, PA, United States
Duration: 3 Nov 20145 Nov 2014

Conference

ConferenceComplex Adaptive Systems Philadelphia
CountryUnited States
CityPhiladelphia, PA
Period03/11/201405/11/2014

Fingerprint

Telecommunication networks
Large scale systems
Geographic information systems
Sustainable development
Economics
Smart city
Hot Temperature
System of systems

Cite this

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title = "Location Intelligence Application in Digital Data Activity Dimensioning in Smart Cities",
abstract = "Cities around the globe are now following the {"}smart{"} trend. Smart cities are complex systems of systems that rely on IT to improve their efficiency in terms of economics or sustainability. Many of the activities involved in this context require data to be transferred via communication networks. However, due to the heterogeneity of the applications involved, different nature traffic patterns and number of connected elements (humans or machines), these data traffic flows become extremely complex to model. This work focuses on the application of location intelligence to simplify the modeling of data networks' activity in such complex systems. It is essential to describe and understand when and where data is generated to effectively design, plan and manage communication networks. We introduce a model based on traffic generation rules and patterns to be applied over Geographic Information Systems data to create {"}dynamic data activity heat maps{"}. These heat maps provide a spatial-temporal overview of the behavior of network data in cities as a whole. In addition, we illustrate the model's application to a specific geographic area of relevance.",
author = "Michael Jensen and {Gutierrez Lopez}, {Jose Manuel} and Pedersen, {Jens Myrup}",
year = "2014",
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language = "English",
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}

Location Intelligence Application in Digital Data Activity Dimensioning in Smart Cities. / Jensen, Michael; Gutierrez Lopez, Jose Manuel; Pedersen, Jens Myrup.

In: Procedia Computer Science, Vol. 36, 2014, p. 418-424.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

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AB - Cities around the globe are now following the "smart" trend. Smart cities are complex systems of systems that rely on IT to improve their efficiency in terms of economics or sustainability. Many of the activities involved in this context require data to be transferred via communication networks. However, due to the heterogeneity of the applications involved, different nature traffic patterns and number of connected elements (humans or machines), these data traffic flows become extremely complex to model. This work focuses on the application of location intelligence to simplify the modeling of data networks' activity in such complex systems. It is essential to describe and understand when and where data is generated to effectively design, plan and manage communication networks. We introduce a model based on traffic generation rules and patterns to be applied over Geographic Information Systems data to create "dynamic data activity heat maps". These heat maps provide a spatial-temporal overview of the behavior of network data in cities as a whole. In addition, we illustrate the model's application to a specific geographic area of relevance.

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