Outage in motorway multi-lane VANETs with hardcore headway distance using synthetic traces

Kostas Koufos*, Carl P Dettmann*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

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In this paper we analyze synthetic mobility traces generated for three-lane unidirectional motorway traffic to find that the locations of vehicles along a lane are better modeled by a hardcore point process instead of the widely-accepted Poisson point process (PPP). In order to capture the repulsion between successive vehicles while maintaining a level of analytical tractability, we make a simple extension to PPP: We model the inter-vehicle distance along a lane equal to the sum of a constant hardcore distance and an exponentially distributed random variable. We calculate the J-function and the Ripley’s Kfunction for this hardcore point process. We fit its parameters to the available traces, and we illustrate that the higher the average speed along a lane, the more prominent the hardcore component becomes. In addition, we consider a transmitter-receiver link on the same lane, and we generate simple formulae for the moments of interference under reduced Palm measure for that lane, and without conditioning for other lanes. We illustrate that under Rayleigh fading a shifted-gamma approximation for the distribution of interference per lane provides a very good fit to the simulated outage probability using the synthetic traces, while the fit using the PPP is poor.
Original languageEnglish
Article number9035609
Pages (from-to)2445-2456
Number of pages12
JournalIEEE Transactions on Mobile Computing
Issue number7
Early online date13 Mar 2020
Publication statusPublished - 3 Jun 2021

Bibliographical note

Funding Information:
This work was supported by the EPSRC Grant number EP/ N002458/1 for the project Spatially Embedded Networks. All underlying data are provided in full within this paper.

Publisher Copyright:
© 2002-2012 IEEE.


  • Headway distance models
  • probability generating functional
  • reduced Palm measure
  • synthetic mobility traces


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