Self-organized criticality and 1/f noise in traffic

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Phantom traffic jams may emerge ``out of nowhere`` from small fluctuations rather than being triggered by large, exceptional events. We show how phantom jams arise in a model of single lane highway traffic, which mimics human driving behavior. Surprisingly, the optimal state of highest efficiency, with the largest throughput, is a critical state with traffic jams of all sizes. We demonstrate that open systems self-organize to the most efficient state. In the model we study, this critical state is a percolation transition for the phantom traffic jams. At criticality, the individual jams have a complicated fractal structure where cars follow ... continued below

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13 p.

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Paczuski, M. & Nagel, K. December 31, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 96 times . More information about this article can be viewed below.

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  • Paczuski, M. Brookhaven National Lab., Upton, NY (United States)
  • Nagel, K. Los Alamos National Lab., NM (United States)

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Description

Phantom traffic jams may emerge ``out of nowhere`` from small fluctuations rather than being triggered by large, exceptional events. We show how phantom jams arise in a model of single lane highway traffic, which mimics human driving behavior. Surprisingly, the optimal state of highest efficiency, with the largest throughput, is a critical state with traffic jams of all sizes. We demonstrate that open systems self-organize to the most efficient state. In the model we study, this critical state is a percolation transition for the phantom traffic jams. At criticality, the individual jams have a complicated fractal structure where cars follow an intermittent stop and go pattern. We analytically derive the form of the corresponding power spectrum to be 1/f{sup {alpha}} with {alpha} = 1 exactly. This theoretical prediction agrees with our numerical simulations and with observations of 1/f noise in real traffic.

Physical Description

13 p.

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OSTI as DE96004166

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  • Workshop on traffic and granular flow, Juelich (Germany), 9-11 Oct 1995

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  • Other: DE96004166
  • Report No.: BNL--62385
  • Report No.: CONF-9510274--1
  • Grant Number: AC02-76CH00016
  • Office of Scientific & Technical Information Report Number: 197827
  • Archival Resource Key: ark:/67531/metadc669088

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Office of Scientific & Technical Information Technical Reports

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  • December 31, 1995

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  • June 29, 2015, 9:42 p.m.

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  • Dec. 3, 2015, 7:50 p.m.

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Paczuski, M. & Nagel, K. Self-organized criticality and 1/f noise in traffic, article, December 31, 1995; Upton, New York. (digital.library.unt.edu/ark:/67531/metadc669088/: accessed November 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.