Skip to main content
SpringerLink
Log in

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

  • Topical issue dedicated to ECCS2007 - Dresden
  • Published:
The European Physical Journal B Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Computational Science – ICCS 2007: 7th International Conference, Vol. 4487–4490 of Lecture Notes in Computer Science, edited by Y. Shi, G.D. v. Albada, J. Dongarra, P.M.A. Sloot (Springer New York, 2007)

  • U. Harder, M. Paczuski, Physica A, 361(1), 329 (2006)

  • J.P. Eckmann, E. Moses, D. Sergi, Proc. Nat. Acad. Sci., 101(40), 14333 (2004)

    Google Scholar 

  • TRANSIMS www page: TRansportation ANalysis, SIMulation System, http://transims.tsasa.lanl.gov/, accessed 2008, (Los Alamos National Laboratory, Los Alamos, NM)

  • MATSIM www page: MultiAgent Transport SIMulation; http://matsim.org/, accessed 2008

  • DYNAMIT/MITSIM www page: http://mit.edu/its, accessed 2008

  • DYNASMART www page, http://www.dynasmart.com/, accessed 2007

  • R.J.F. Rossetti, R. Liu, in Applications of Agent Technology in Traffic and Transportation, edited by F. Klügl, A. Bazzan, S. Ossowski, Whitestein, Series in Software Agent Technologies and Autonomic Computing (Birkhäuser, 2005), pp. 88–93

  • J. Esser, Simulation von Stadtverkehr auf der Basis zellularer Automaten, Ph.D. thesis, University of Duisburg, Germany, 1998. See also http://www.traffic.uni-duisburg.de

  • D. Helbing, Rev. Mod. Phys. 73, 1067 (2001)

    Article  ADS  Google Scholar 

  • D. Chowdhury, L. Santen, A. Schadschneider, Phys. Rep. 329, 199 (2000)

    Article  ADS  MathSciNet  Google Scholar 

  • W. Knospe, L. Santen, A. Schadschneider, M. Schreckenberg, J. Phys. A: Math. Gen., 33, L477 (2000)

  • O. Biham, A. Middleton, D. Levine, Phys. Rev. A 46(10), R6124 (1992)

  • F.C. Martínez, J.A. Cuesta, J.M. Molera, R. Brito, Phys. Rev. E 51(2), R835 (1995)

  • T. Nagatani, Phys. Rev. E 59(5), 4857 (1999)

    Article  Google Scholar 

  • P. Bak, C. Tang, K. Wiesenfeld, Phys. Rev. A 38(1), 364 (1988)

    Article  MathSciNet  Google Scholar 

  • P. Bak, K. Sneppen, Phys. Rev. Lett. 71(24), 4083 (1993)

    Article  Google Scholar 

  • D. Helbing, M. Schönhof, D. Kern, New J. Phys. 4(33), 1 (2002)

    Google Scholar 

  • Proceedings of the Workshop on Human Behaviour and Traffic Networks, edited by N. Schrockenberg, R. Selten (Springer, Berlin Heidelberg, 2004), pp. 1–21

  • C. Gawron, Int. J. Mod. Phys. C 9(3), 393 (1998)

    Article  Google Scholar 

  • N. Cetin, A. Burri, K. Nagel, in Proceedings of Swiss Transport Research Conference (STRC), Monte Verita, CH, 2003. Earlier version, with inferior performance values: Transportation Research Board Annual Meeting 2003 paper number 03-4272

  • W.S. Vickrey, Amer. Econom. Rev. 59(2), 251 (1969)

    Google Scholar 

  • R. Arnott, A. De Palma, R. Lindsey, Am. Econom. Rev. 83(1), 161 (1993)

    Google Scholar 

  • D. Charypar, K. Nagel, Transportation 32(4), 369 (2005)

    Article  Google Scholar 

  • M. Balmer, B. Raney, K. Nagel, in Progress in activity-based analysis, edited by H.J.P. Timmermans (Elsevier, Oxford, UK, 2005), pp. 91–114

  • M. Ben-Akiva, S.R. Lerman, Discrete choice analysis (The MIT Press, Cambridge, MA, 1985)

  • R Development Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2007. ISBN 3-900051-07-0

  • C.G. Langton, in Artificial Life II, Santa Fe Institute Studies in the Science of Complexity, Vol. 10, edited by C.G. Langton et al. (Addison-Wesley, Redwood Citz, CA, 1992), pp. 41–92

Download references

Author information

Authors and Affiliations

  1. Transport Systems Planning and Transport Telematics (VSP), TU Berlin, Salzufer 17-19, Sekr. SG 12, 10587, Berlin, Germany

    M. Rieser & K. Nagel

  2. Institute for Transport Planning and Systems (IVT), ETH Zurich, 8093, Zurich, Switzerland

    M. Rieser

Authors
  1. M. Rieser
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. Nagel
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rieser, M., Nagel, K. Network breakdown “at the edge of chaos” in multi-agent traffic simulations. Eur. Phys. J. B 63, 321–327 (2008). https://doi.org/10.1140/epjb/e2008-00153-6

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1140/epjb/e2008-00153-6

PACS.

Search

Navigation