基于行人占据区域的泰森多边形人员密度统计方法

行人动力学的研究一直是火灾下人员疏散研究的重要内容。研究者通过大量观测和可控实验,获得行人的运动行为特征,揭示人员运动规律,但是仍然缺乏足够的定量校准的实验数据。在总结了前人对于实验中全局密度与局部密度统计方法的基础上,基于泰森多边形方法,结合人际关系距离与视野的观念,提出了一种行人占据多边形的速度密度统计方法。通过对平均密度平均速度的比较发现,方法得到的结果比传统统计方法得到的结果波动更小且更接近于连续变化、在密度低时比泰森多边形方法的结果更符合实际情况;而对于个人的速度密度散点图,结果也比泰森多边形方法的结果更为集中,尤其是除去了密度小而速度低的不合理数据点。

Modified voronoi method for measuring pedestrian density based on occupy area

Pedestrian dynamics research is of great importance for human evacuation. Previous studies have obtained some characteristics of pedestrian movement by a large number of observations and controlled experiments, however, the databases for quantitative calibration are still insufficient. In this paper, based on the Voronoi method and combined with the concepts of personal distance and visual field, a pedestrian-occupy-polygon method is proposed to calculate the density and velocity of pedestrian. By comparing the average density and average velocity by three different methods, we find that the results of the new method change continuously and have smaller fluctuations. It is also found that the new method is more reasonable than the Voronoi method at low density. For the individual velocity-density scatter plot, the results by the new method are more concentrated than the Voronoi method. Especially, the new method can effectively remove the unreasonable data with low density and small velocity.