交通流波动标度的泰勒幂律
Taylor's power law for fluctuation scaling in traffic
摘要：
在这篇文章中，我们研究明尼苏达州的交通网络。我们表明，该系统的特点是泰勒幂律的波动标度与非平凡值的标度指数。我们还表明，特征指数并不明确地表征一个给定的道路网络，因为它可能会有所不同，在同一个网络，如果考虑到观察点的位置，季节，一天中的一段时间，或交通强度。计算结果与Nagel-Schreckenberg元胞自动机模型中的Taylor波动标度进行了比较。结果表明，泰勒定律可以作为，旁边的基本图，作为不同的交通阶段（自由流，交通堵塞等）的指标。
英文摘要：
In this article, we study transportation network in Minnesota. We show that the system is characterized by Taylor's power law for fluctuation scaling with nontrivial values of the scaling exponent. We also show that the characteristic exponent does not unequivocally characterize a given road network, as it may differ within the same network if one takes into account location of observation points, season, period of day, or traffic intensity. The results are set against Taylor's fluctuation scaling in the Nagel-Schreckenberg cellular automaton model for traffic. It is shown that Taylor's law may serve, beside the fundamental diagram, as an indicator of different traffic phases (free flow, traffic jam etc.).
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