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arXiv 1506.02433physics.soc-ph
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瓶颈实验中行人流的稳态

Steady State of Pedestrian Flow in Bottleneck Experiments

Weichen Liao, Antoine Tordeux, Armin Seyfried, Mohcine Chraibi, Kevin Drzycimski, Xiaoping Zheng, Ying Zhao

摘要:

行人实验可能强烈依赖于初始条件。这种实验结果的比较需要仔细区分瞬态和稳态。在这项工作中,一个可行的算法-累积和控制图-提出并改进,自动检测瓶颈试验的密度和速度时间序列的稳定状态。算法中检测参数的阈值采用自回归模型进行标定。将检测到的稳态与以前手动选择的稳态进行比较,修改后的算法给出了更可重复的结果。在应用方面,分析了三组瓶颈实验,并检测了稳定状态。对行人流量的研究表明,各种状态下的行人流量与稳态时的行人流量的差别主要取决于行人数量与瓶颈宽度的比值。当该比率高于临界值(约115人/m)时,在所有状态下的流量几乎与稳定状态下的流量相同。因此,我们有更多的可能性,比较流动从不同的实验,特别是当检测的稳定状态是困难的。

英文摘要:

Experiments with pedestrians could depend strongly on initial conditions. Comparisons of the results of such experiments require to distinguish carefully between transient state and steady state. In this work, a feasible algorithm - Cumulative Sum Control Chart - is proposed and improved to automatically detect steady states from density and speed time series of bottleneck experiments. The threshold of the detection parameter in the algorithm is calibrated using an autoregressive model. Comparing the detected steady states with previous manually selected ones, the modified algorithm gives more reproducible results. For the applications, three groups of bottleneck experiments are analysed and the steady states are detected. The study about pedestrian flow shows that the difference between the flows in all states and in steady state mainly depends on the ratio of pedestrian number to bottleneck width. When the ratio is higher than a critical value (approximately 115 persons/m), the flow in all states is almost identical with the flow in steady state. Thus we have more possibilities to compare the flows from different experiments, especially when the detection of steady states is difficult.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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