Data aggregation and roadside unit placement for a vanet traffic information system

  • Authors:
  • Christian Lochert;Björn Scheuermann;Christian Wewetzer;Andreas Luebke;Martin Mauve

  • Affiliations:
  • Heinrich Heine University, Düsseldorf, Germany;Heinrich Heine University, Düsseldorf, Germany;Volkswagen Group, Wolfsburg, Germany;Volkswagen Group, Wolfsburg, Germany;Heinrich Heine University, Düsseldorf, Germany

  • Venue:
  • Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
  • Year:
  • 2008

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Abstract

In this paper we investigate how a VANET-based traffic information system can overcome the two key problems of strictly limited bandwidth and minimal initial deployment. First, we present a domain specific aggregation scheme in order to minimize the required overall bandwidth. Then we propose a genetic algorithm which is able to identify good positions for static roadside units in order to cope with the highly partitioned nature of a VANET in an early deployment stage. A tailored toolchain allows to optimize the placement with respect to an application-centric objective function, based on travel time savings. By means of simulation we assess the performance of the resulting traffic information system and the optimization strategy.