宏观行人流模拟用于特殊事件后公共交通人群控制措施设计

D. Bauer, S. Seer, Norbert Brändle
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引用次数: 47

摘要

我们讨论了一系列使用宏观模型生成公共交通基础设施人群模拟的方法,其中重点是模拟足球比赛或流行音乐会等特殊事件后的行人流量。模拟是基于基础设施的CAD表示,包括人群控制设施,如临时访问限制和其他动态元素,如到达和离开火车。这些方法的主要用途是设计基于人群密度度量的访问限制决策规则。这将有助于实现特定的安全相关目标,例如将特定地区的人群密度保持在一定限度以下。该模型考虑了人群密度的测量误差。我们在奥地利一个大型体育场旁边的地铁站展示了这些方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macroscopic pedestrian flow simulation for designing crowd control measures in public transport after special events
We discuss a set of methods to generate simulations of crowds in public transport infrastructures using macroscopic models, where the focus is to model pedestrian flows after special events like soccer games or pop concerts. The simulations are built based upon CAD representations of an infrastructure and include crowd control facilities such as temporary access restrictions and other dynamic elements like arriving and departing trains. The main usage of the methods is the design of decision rules for access restrictions based on measures of crowd density. This will enable to attain specific safety-related goals such as keeping the crowd density in specific areas below a certain limit. The models take into account measurement errors for crowd density. We demonstrate the suitability of the methods in a showcase of a subway station next to a major stadium in Austria.
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