Self-Organizing Congestion Evasion Strategies using Ant-Based Pheromones

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

Research output: Contribution to journalArticlepeer-review


Social insects perform complex, self-organising tasks within a collective by using pheromone-based indirect communication (swarm intelligence). Inspired by these potentials of nature, this concept is possibly also a paradigm for controlling traffic, for collectively recognising, disintegrating and avoiding traffic congestion without central control instances. Vehicles equipped with location and communication technology act like individual insects and virtually deposit digital pheromones on the road indicating the intense of traffic and enabling other vehicles to indirectly benefit from the trail. This study investigates a technical implementation of swarm intelligence applied to the traffic system and evaluates different evasion strategies for vehicles. Using a micro-simulation environment capable of simulating real city networks, various traffic experiments empirically prove the hypothesis of a self-organising effect concerning the traffic flow in pheromone-based systems.
Original languageEnglish
Pages (from-to)93-102
Number of pages10
JournalIET Intelligent Transport Systems
Issue number1
Publication statusPublished - 1 Mar 2010
Externally publishedYes


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