Self-Organized Criticality and \(1/f\) Noise in Traffic
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| 發表在: | arXiv.org (Feb 2, 1996), p. n/a |
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| 主要作者: | |
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Cornell University Library, arXiv.org
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| 在線閱讀: | Citation/Abstract Full text outside of ProQuest |
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| Resumen: | 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 \(1/f^{\alpha}\) with \(\alpha =1\) exactly. This theoretical prediction agrees with our numerical simulations and with observations of \(1/f\) noise in real traffic. |
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| ISSN: | 2331-8422 |
| Fuente: | Engineering Database |