Department of Computer Science and Mathematics, Munich University of Applied Sciences HM, Munich, Germany.
Department of Informatics, Technical University of Munich, Garching, Germany.
PLoS One. 2022 Nov 11;17(11):e0276229. doi: 10.1371/journal.pone.0276229. eCollection 2022.
At traffic hubs, it is important to avoid congestion of pedestrian streams to ensure safety and a good level of service. This presents a challenge, since distributing crowds on different routes is much more difficult than opening valves to, for example, regulate fluid flow. Humans may or may not comply with re-directions suggested to them typically with the help of signage, loudspeakers, apps, or by staff. This remains true, even if they perceive and understand the suggestions. Yet, simulation studies so far have neglected the influence of compliance. In view of this, we complement a state-of-the-art model of crowd motion and crowd behavior, so that we can vary the compliance rate. We consider an abstracted scenario that is inspired by a metro station in the city of Munich, where traffic regulators wish to make some passengers abandon the obviously shortest route so that the flow evens out. We investigate the effect of compliance for two very simple guiding strategies. In the first strategy, we alternate routes. In the second strategy, we recommend the path with the lowest crowd density. We observe that, in both cases, it suffices to reroute a small fraction of the crowd to reduce travel times. But we also find that taking densities into account is much more efficient when facing low compliance rates.
在交通枢纽，避免行人流拥堵以确保安全和良好的服务水平非常重要。这是一个挑战，因为将人群分配到不同的路线比打开阀门（例如，调节流体流量）困难得多。人们可能会或可能不会遵守通常借助标志、扩音器、应用程序或工作人员提供的重新导向建议。即使他们感知并理解了这些建议，情况仍然如此。然而，迄今为止的模拟研究忽略了合规性的影响。有鉴于此，我们对人群运动和行为的最先进模型进行了补充，以便我们可以改变合规率。我们考虑了一个抽象的场景，该场景的灵感来自慕尼黑市的一个地铁站，交通管理者希望让一些乘客放弃明显最短的路线，以使流量均匀化。我们研究了两种非常简单的引导策略的合规性影响。在第一种策略中，我们交替路线。在第二种策略中，我们推荐人群密度最低的路径。我们观察到，在这两种情况下，只需重新引导一小部分人群即可减少旅行时间。但我们也发现，在面对低合规率时，考虑密度会更加有效。
