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Hierarchical Organizations for Decentralized Traffic Monitoring
Katholieke Universiteit Leuven.
Katholieke Universiteit Leuven.ORCID iD: 0000-0002-1162-0817
Katholieke Universiteit Leuven.
Katholieke Universiteit Leuven.
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2008 (English)Conference paper, (Refereed)
Abstract [en]

The use of floating car data is an interesting method tomonitor traffic. Vehicles act as local traffic sensors anddata from individual vehicles is aggregated into higher-levelinformation. We propose a number of reusable organizationabstractions and a software architecture to support amulti-agent approach for floating car data. The abstractionsare based on the idea of hierarchical organizationswhich are used as units of data aggregation. In this approach,an agent is deployed on each vehicle. At the lowestlevel, nearby vehicle agents collaborate to aggregate individualtraffic data and distribute it to local clients such astraffic light controllers. At higher-levels, organizations arebuilt up from lower-level organizations and represent specificaggregation interests such as the total congestion levelin a specific area. This decentralized approach avoids thebottleneck of a centralized control center and makes the systemmore robust and scalable. A prototype was built, supportinga two-level organization structure, and is used in asimulated traffic environment as initial validation.1 Introduction

Place, publisher, year, edition, pages
2008.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-19331OAI: oai:DiVA.org:lnu-19331DiVA: diva2:530400
Conference
ECOSOA 2008
Available from: 2012-06-01 Created: 2012-06-01 Last updated: 2016-12-19Bibliographically approved

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CiteExportLink to record
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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