多出口疏散情况下基于有效吞吐量的出口选择仿真研究

K. Zia, A. Ferscha
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引用次数: 15

摘要

对于个人疏散来说,由于视线限制,许多多出口环境不允许看到所有出口。此外,环境可能是黑暗或烟雾,甚至没有一个出口的能见度。在这种情况下,考虑到人群中的每个人都有一个与中央服务器连接的全局帮助设备,一个通往最佳出口的“定向指导”是真正可能的。在这种情况下,出口周围的“乘客密度”(在一个静态的“出口区域”内)与相应的距离相结合,设计了一个最佳出口建议的概率策略[1]。在本文中,我们将出口区域与环境的可见性水平联系起来(能见度越高,出口区域越大,反之亦然)。通过这种方式,实现了一个更现实的人类行为模型,在这个模型中,个人观看(看到)出口总是指向该出口,而不考虑提供的方向指导。当一个人不在任何出口区域时(甚至没有看到一个出口),就会提供一个方向指导,假设这个人是遵循它的。此外,我们使用了“有效吞吐量”来代替乘员密度,并结合相应的距离。通过仿真结果,我们发现,当模拟有效吞吐量而不是乘员密度时,疏散时间有了明显的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Simulation Study of Exit Choice Based on Effective Throughput of an Exit Area in a Multi-exit Evacuation Situation
To individuals evacuating, many multi-exit environments do not allow visibility of all the exits due to line-of-sight constraint. In addition, the environment can be dark or smoky, not allowing visibility to even a single exit. In such a situation, given that each individual in the crowd is accompanied with a helping device globally connected with a central server, a 'directional guidance' towards an optimal exit is a real possibility. In this context, the 'occupant density' around exits (within a static ‘exit area’) has been used in conjunction with the corresponding distances to devise a probabilistic strategy for optimal exit suggestion [1]. In this paper, we related the exit area with the level of visibility of the environment (the more the visibility, the more the exit area and vice versa). In this way, a more realistic human-behavioral model is implemented in which an individual viewing (seeing) an exit would always direct towards that exit, irrespective of the directional guidance provided. When an individual is not at any of the exit areas (not viewing even a single exit), a directional guidance is provided assuming that the individual is adhering to it. Additionally we used the measure of 'effective throughput' instead of occupant density, in conjunction with the corresponding distances. Through simulation results, we found a marked improvement in the evacuation time, when effective throughput was modeled instead of occupant density.
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