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Life Times Of Simulated Traffic Jams

Author

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  • KAI NAGEL

    (Zentrum für Paralleles Rechnen c/o Math. Inst., Universität, 50923 Kōln, Germany)

Abstract

We study a model for freeway traffic which includes strong noise taking into account the fluctuations of individual driving behavior. The model shows emergent traffic jams with a self-similar appearance near the throughput maximum of the traffic. The lifetime distribution of these jams shows a short scaling regime, which gets considerably longer if one reduces the fluctuations when driving at maximum speed but leaves the fluctuations for slowing down or accelerating unchanged. The outflow from a traffic jam self-organizes into this state of maximum throughput.

Suggested Citation

  • Kai Nagel, 1994. "Life Times Of Simulated Traffic Jams," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 567-580.
    • Handle: RePEc:wsi:ijmpcx:v:05:y:1994:i:03:n:s012918319400074x
    DOI: 10.1142/S012918319400074X
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    Citations

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    Cited by:

    1. Kai Nagel & Peter Wagner & Richard Woesler, 2003. "Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling," Operations Research, INFORMS, vol. 51(5), pages 681-710, October.
    2. Chacoma, A. & Abramson, G. & Kuperman, M.N., 2021. "A phase transition induced by traffic lights on a single lane road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    3. S. Ganji & A. Barari & L. Ibsen & G. Domairry, 2012. "Differential transform method for mathematical modeling of jamming transition problem in traffic congestion flow," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 87-100, March.

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