Network breakdown “at the edge of chaos” in multi-agent traffic simulations

M. Rieser and K. Nagel

The European Physical Journal B: Condensed Matter and Complex Systems, 2008, vol. 63, issue 3, 321-327

Abstract: Traffic is highly influenced by network structure and human behaviour. Small changes in the human behaviour can lead to huge changes in the load of a traffic network. Current transportation models do not, and most of them cannot, research such random behaviour but always calculate a steady state. In our multi-agent transport simulation, we frequently observe seemingly random “network breakdowns”, huge traffic jams that spread over a big part of the network, making a normal traffic flow impossible. This paper describes the investigations that were performed on the results of our large-scale multi-agent transport simulations in an attempt to contribute to the better understanding of the dynamic processes in such simulations and, hopefully, better understanding and modelling of the real-world. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2008

Keywords: 45.70.Vn Granular models of complex systems; traffic flow, 89.40.Bb Land transportation, 89.75.-k Complex systems, (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:eurphb:v:63:y:2008:i:3:p:321-327

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DOI: 10.1140/epjb/e2008-00153-6

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