基于多机器人智能体的人群拥挤和踩踏事件管理
Crowd Congestion and Stampede Management through Multi Robotic Agents
摘要：
人群管理是一项复杂、具有挑战性和关键性的任务。过去，由于缺乏适当的人群管理，导致了许多不幸的踩踏事件，造成重大生命损失。为提高人群管理效率，我们部署了自动化实时的检测踩踏易发区域。然后，我们使用机器人代理来帮助人群管理警察控制这些踩踏事件易发区域的人群。在这样做的同时，我们的目标是尽量减少机器人代理在我们的环境中的干扰。从而不会破坏这个地方的氛围和美学。我们评估我们的模型在处理困难的情况下，如紧急疏散和存在局部拥堵的有效性。最后，我们模拟了一个多代理系统的基础上，我们的模型，并用它来说明实用的机器人代理检测和减少拥塞。
英文摘要：
Crowd management is a complex, challenging and crucial task. Lack of appropriate management of crowd has, in past, led to many unfortunate stampedes with significant loss of life. To increase the crowd management efficiency, we deploy automated real time detection of stampede prone areas. Then, we use robotic agents to aid the crowd management police in controlling the crowd in these stampede prone areas. While doing so, we aim for minimum interference by robotic agents in our environment. Thereby not disturbing the ambiance and aesthetics of the place. We evaluate the effectiveness of our model in dealing with difficult scenarios like emergency evacuation and presence of localized congestion. Lastly, we simulate a multi agent system based on our model and use it to illustrate the utility of robotic agents for detecting and reducing congestion.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
