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Main Title: Network breakdown “at the edge of chaos” in multi-agent traffic simulations
Author(s): Rieser, Marcel
Nagel, Kai
Type: Article
Language Code: en
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.
Issue Date: 2008
Date Available: 1-Apr-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): traffic network
traffic jam
traffic simulation
Journal Title: The European Physical Journal B
Publisher: Springer
Publisher Place: Berlin, Heidelberg
Volume: 63
Issue: 3
Publisher DOI: 10.1140/epjb/e2008-00153-6
Page Start: 321
Page End: 327
EISSN: 1434-6036
ISSN: 1434-6028
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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