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Emergent traffic jams
Open accessAbstract
We study a single-lane traffic model that is based on human driving behavior. The outflow from a traffic jam self-organizes to a critical state of maximum throughput. Small perturbations of the outflow far downstream create emergent traffic jams with a power law distribution P(t)\ensuremath{\sim}${\mathit{t}}^{\mathrm{\ensuremath{-}}3/2}$ of lifetimes t. On varying the vehicle density in a closed system, this critical state separates lamellar and jammed regimes and exhibits 1/f noise in the power spectrum. Using random walk arguments, in conjunction with a cascade equation, we develop a phenomenological theory that predicts the critical exponents for this transition and explains the self-organizing behavior. These predictions are consistent with all of our numerical results.
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Citations
Cited by
Traffic and related self-driven many-particle systems
Helbing, D. (2001) · Reviews of Modern Physics · doi:10.1103/revmodphys.73.1067 · Cited by 3,245
Supply networks and complex adaptive systems: control versus emergence
Choi, T. Y., Dooley, K. J., & Rungtusanatham, M. (2001) · Journal of Operations Management · doi:10.1016/s0272-6963(00)00068-1 · Cited by 1,607
Metastable states in a microscopic model of traffic flow
Krauss, S., Wagner, P., & Gawron, C. (1997) · Physical Review E · doi:10.1103/physreve.55.5597 · Cited by 630
Carreras, B. A., Lynch, V. E., Dobson, I., & Newman, D. E. (2002) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.1505810 · Cited by 542
Recent developments and research needs in modeling lane changing
Zheng, Z. (2014) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2013.11.009 · Cited by 532
Metadata
- Authors
- Nagel, K., & Paczuski, M.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 1995-04-01
- Volume
- 51
- Issue
- 4
- Pages
- 2909-2918
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2059797628
- Cited by
- 333
- References
- 0
- FWCI
- 40.17
- Type
- journal article
- Language
- en
- Open access
- green
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