Self-Organization in traffic networks by digital pheromones

Wolfgang Narzt, Gustav Pomberger, Ursula Wilflingseder, Oliver Seimel, Dieter Kolb, Jan Wieghardt, Horst Hörtner, Roland Haring

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

9 Citations (Scopus)

Abstract

Nature often provides excellent patterns for the solution of technical problems and challenges: The principle of swarm intelligence e.g., is imitated by a manifold of optimization algorithms, where organisms mark their local environment in order to indirectly communicate with their conspecifics and to consequently solve complex problems in the collective. Emerging positioning and communication technologies allow extending swarm intelligence to the traffic system. Vehicles equipped with sensors, actuators and wireless communication technology virtually annotate their local environment for indirect communication and therefore form a smart collective with self-organizing capabilities following the example of nature. This paper presents and empirically verifies a decentralized self-organizing traffic flow model using a complex micro simulator capable of simulating real city networks based on authentic data acquisitions.

Original languageEnglish
Title of host publication10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages490-495
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States
Duration: 30 Sep 20073 Oct 2007

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
CountryUnited States
CitySeattle, WA
Period30.09.200703.10.2007

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