具有领导-跟随行为的多智能体人群疏散系统

Moch Fachri, Susi Juniastuti, S. M. S. Nugroho, M. Hariadi
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引用次数: 5

摘要

在许多公共场所,人群疏散是一个主要的安全问题。通过对某些疏散情景的模拟和建模,已经努力设计出最佳的疏散计划,以帮助为实际事件做好准备。在一些大多数疏散人员不熟悉建筑物布局的情况下,应任命最熟悉建筑物布局的疏散人员为小组组长。这些领导引导他们的疏散人群到安全的地方,通常在大楼外面。本研究采用leader-follower行为,并采用具有互易速度障碍(Reciprocal Velocity obstacle, RVO)的多智能体系统进行导航,从而在疏散人员之间建立leader-follower关系。每个撤离者,即追随者,试图跟随他们各自的小组领导一起到达他们的逃生点。实验结果表明,在疏散场景中,数百个agent的导航,疏散人员在92.597 ~ 129.71秒之间安全到达疏散点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crowd evacuation using multi-agent system with leader-following behaviour
Crowd evacution is a major safety issue in many public places. Efforts have been made to design the best evacuation plans using simulations and modeling of certain evacuation scenarios, in order to help prepare for the actual event. In some scenarios where the majority of evacuees are not familiar with the layout of the building, evacuees most familiar with the layout of the building should be appointed as group leaders. These leaders guide their evacuee group to safety, usually outside the building. This research employs leader-following behaviour, and multi-agent system with Reciprocal Velocity Obstacles (RVO) for navigation, thus creating leader-follower relationship between evacuees. Each evacuees, i.e. follower, tries to navigate to follow their respective group leader to reach their escape point together. Experiment results demonstrate the navigation of hundreds of agents in an evacuation scenario, which shows that the evacuees safely reached the evacuation point between 92.597 to 129.71 seconds.
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