群体Turbulence的多粒子模拟
Modeling Crowd Turbulence by Many-Particle Simulations
摘要：
最近的一项研究[D. Helbing，A. Johansson和H. Z. Al-Abibalan，{ \it Phys. Rev. E} 75，046109（2007）]揭示了行人流的“湍流”状态，其特征在于突然位移并导致人的跌倒和踩踏。然而，湍流人群运动是不能很好地再现目前的多粒子模型，由于其在极端密度的地区的局部相互作用的代表性不足。在这篇文章中，我们扩展了社会力模型的排斥力项，以再现群体湍流。我们进行数值模拟的行人通过一个瓶颈区域与这个新的模型。观察到从层流到走走停停和湍流的转变。人群湍流的经验特征，如结构函数和速度增量的概率密度函数再现良好，即他们是很好的兼容性与视频数据的分析，在每年的穆斯林朝圣。
英文摘要：
A recent study [D. Helbing, A. Johansson and H. Z. Al-Abideen, {\it Phys. Rev. E} 75, 046109 (2007)] has revealed a "turbulent" state of pedestrian flows, which is characterized by sudden displacements and causes the falling and trampling of people. However, turbulent crowd motion is not reproduced well by current many-particle models due to their insufficient representation of the local interactions in areas of extreme densities. In this contribution, we extend the repulsive force term of the social force model to reproduce crowd turbulence. We perform numerical simulations of pedestrians moving through a bottleneck area with this new model. The transitions from laminar to stop-and-go and turbulent flows are observed. The empirical features characterizing crowd turbulence, such as the structure function and the probability density function of velocity increments are reproduced well, i.e. they are well compatible with an analysis of video data during the annual Muslim pilgrimage.
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。
