Quantitative analysis of pedestrian counterflow in a cellular automaton model.
Quantitative analysis of pedestrian counterflow in a cellular automaton model.
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DOI：
10.1103/physreve.85.066128
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发表时间：
2012-06
期刊：
影响因子：
--
通讯作者：
S. Nowak;A. Schadschneider
中科院分区：
文献类型：
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作者：
S. Nowak;A. Schadschneider
行人动力学表现出各种集体现象。本文采用层场元胞自动机模型研究双向行人流。在一定条件下，观察到车道形成。虽然它经常被定性地研究，例如，作为一个模型的现实主义的测试，几乎没有定量的结果，无论是经验上还是理论上。作为定量分析的基础，我们引入了一个从胶体悬浮液分析中得到的序参数。这使我们能够确定系统的相位图，其中可以区分四种不同的状态（自由流动，无序，车道，僵局）。虽然形成的车道数量是波动的，但车道的特征是典型的密度。发现，与实验边界相比，基本的底板场模型高估了走向僵局的趋势。为此，引入了一种降低干扰概率的预判机制。
Pedestrian dynamics exhibits various collective phenomena. Here, we study bidirectional pedestrian flow in a floor field cellular automaton model. Under certain conditions, lane formation is observed. Although it has often been studied qualitatively, e.g., as a test for the realism of a model, there are almost no quantitative results, either empirically or theoretically. As basis for a quantitative analysis, we introduce an order parameter which is adopted from the analysis of colloidal suspensions. This allows us to determine a phase diagram for the system where four different states (free flow, disorder, lanes, gridlock) can be distinguished. Although the number of lanes formed is fluctuating, lanes are characterized by a typical density. It is found that the basic floor field model overestimates the tendency towards a gridlock compared to experimental bounds. Therefore, an anticipation mechanism is introduced which reduces the jamming probability.