人员踩踏事件中快速疏散复杂网络模型的研究

Research on Complex Network Model of Fast Evacuation in Trample

研究发生踩踏事件时人员快速高效的疏散问题。在人员密集区域中一旦发生踩踏事件将造成人流信息的无序化变化,人流密度和运动方向具有极强的非线性和突变性。传统的疏散路径诱导方法仅仅是针对有序的、平稳的人流密度变化进行疏散路径选取,非线性和突变性的人流信息不能在模型中得到反应,一旦踩踏事件发生,模型的稳定性会被破坏。提出了一种根据突变人流诱导的快速疏散复杂网络模型。引入人流方向突然变异算子将人流密度变异和方向变异的因素充分考虑进来,提取局部区域突变参数,并将其反馈到控制端,从而提高疏散速度。实验证明,提出的算法提高了人员在踩踏事件中的疏散速度和效率。

Research fast evacuation of trample. The dense regions of personnel flow information is complex and has many changes. This paper put forward a complex model of quick evacuation based on mutation flow induced. It uses flow direction variation operator, fully considers the factors of people density variation and direction variation . Then it extractes and feeds back the local mutation parameters. The experiment results show that the improved algorithm can improve the speed of evacuation.