Self-organizing traffic control for congestion avoidance and traffic flow improvement

Wolfgang Narzt, Ursula Wilflingseder, Gustav Pomberger, Dieter Kolb, Horst Hörtner

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

Social insects perform complex, self-organizing tasks in the collective by using pheromonebasedindirect communication. Following the example of nature, this concept could also be aparadigm for controlling traffic, for recognizing and avoiding traffic congestions, wherevehicles act like individual insects by depositing digital pheromones in order to indirectlybenefit from their trail.Vehicles equipped with emerging positioning and communication technology virtuallyannotate their local environment and form a collective with decentralized, self-organizingcapabilities.In this paper we present an approach for a technical implementation of a pheromone-basedtraffic system and try to prove that this concept from nature is also valid for controlling thetraffic flow by using a complex micro simulator capable of simulating real city networks.

Original languageEnglish
Title of host publication15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
Pages5473-5484
Number of pages12
Publication statusPublished - 2008
Externally publishedYes
Event15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008 - New York, NY, United States
Duration: 16 Nov 200820 Nov 2008

Publication series

Name15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
Volume8

Conference

Conference15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
CountryUnited States
CityNew York, NY
Period16.11.200820.11.2008

Keywords

  • Ant algorithm
  • Digital pheromones
  • Self-organization
  • Traffic congestion
  • Vehicle routing

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