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VANET communication: A traffic flow approach
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.ORCID iD: 0000-0001-8338-5513
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Macroscopic fluid traffic flow models are used in this paper to predict connectivity behavior within vehicular to vehicular (V2V) networks. The vehicular density determines the radio connectivity in sparse traffic, and may even contribute to radio interference in dense traffic situations. We propose modeling the vehicular density using an approach from physics and engineering known as traffic flow theory. It builds models of the interactions between vehicles and road infrastructure similar to fluid or gas flows in pipelines. We have developed analytic solutions for estimating vehicular densities based on a method for solving the traffic flow equations. With very general infrastructure conditions we can find the density evolution at any location and time for any (given) initial conditions. Using such an approach we show how the connectivity, reachability and broadcast capacities of V2V networks can be calculated as applications of this approach. Furthermore we can include the path loss between vehicles and include interference from dense traffic situations in line and non-line of sight situations. We parameterize the method using Bluetooth and IEEE 802.11a radio technologies to show the applicability of such an approach.

Place, publisher, year, edition, pages
2012, 8. p. 1043-1048, article id 6362499
Keywords [en]
Analytic solution, Density evolution, IEEE802.11a, Initial conditions, Nonline of sight, Path loss, Radio connectivity, Radio technologies, Reachability, Road infrastructures, Traffic flow, Traffic flow models, Traffic flow theory, Traffic situations
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-24110DOI: 10.1109/PIMRC.2012.6362499Scopus ID: 2-s2.0-84871966286OAI: oai:DiVA.org:ri-24110DiVA, id: diva2:1043189
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PIMRC
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CNSAvailable from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-19Bibliographically approved

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