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Towards a Prediction Model for People Movements in Urban Areas
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
Technology and Society, Malmö University, Malmö, Sweden.
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.ORCID iD: 0000-0002-0535-1761
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this work is to develop a new type of service for predicting and communicating urban activity. This service provides short-term predictions (hours to days), which can be used as a basis for different types of resource allocation and planning, e.g. concerning public transport, personnel, or marketing. The core of the service consists of a forecasting engine that based on a prediction model processes data on different levels of detail and from various providers. This paper explores the requirements and features of the forecast engine. We conclude that agent-based modeling seems as the most promising approach to meet these requirements. Finally, some examples of potential applications are described along with analyses of scientific and engineering issues that need to be addressed.

Place, publisher, year, edition, pages
Saint Paul, Minnesota, USA: ACM , 2013.
Keyword [en]
smart city, prediction, agent systems
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-37923OAI: oai:DiVA.org:hj-37923DiVA: diva2:1160025
Conference
1st International Workshop on Multiagent-based Societal Systems
Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2017-11-24Bibliographically approved

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Lavesson, Niklas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf