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Decision support system for variable speed regulation
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.ORCID iD: 0000-0001-9372-3416
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The problem of recommending a suitable speed limit for roads is important for road authorities in order to increase traffic safety. Nowadays, these speed limits can be given more dynamically, with digital speed regulation signs. The challenge here is input from the environment, in combination with probabilities for certain events. Here we present a decision support model based on a dynamic Bayesian network. The purpose of this model is to predict the appropriate speed on the basis of weather data, traffic density and road maintenance activities. The dynamic Bayesian network principle of using uncertainty for the involved variables gives a possibility to model the real conditions. This model shows that it is possible to develop automated decision support systems for variable speed regulation.

Place, publisher, year, edition, pages
2012.
Keyword [en]
Decision support system, variable speed limits, Bayesian Network
National Category
Signal Processing Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-24251OAI: oai:DiVA.org:miun-24251DiVA: diva2:784405
Conference
SIRWEC - 16th International Road Weather Conference
Note

Paper Id: 0022

Presented in Helsinki

Available from: 2015-01-29 Created: 2015-01-29 Last updated: 2017-05-03Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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