Design and Implementation of Multiagent-based Evacuation Guidance Support System using UAVs

Kenta Katayama, Hideyuki Takahashi, N. Yokota, K. Sugiyasu, Tetsuo Kinoshita
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引用次数: 2

Abstract

Huge Disasters such as big earthquakes, tsunamis, typhoons and eruptions occur all over the world, so system for disaster prevention is expected. Especially, tsunamis by big earthquake cause serious damage. We propose an evacuation guidance support using multi-UAVs and aim to decrease the damage by tsunamis. Specifically, software agent decide the safest evacuation guidance route for UAVs based on the disaster situations, the elevation of evacuation route and the distance from the route to coastline etc. In addition, the agent changes the route flexibly according to the disaster situation while evacuation guidance. Also, we aim to perform evacuation guidance support effectively by the function of efficient evacuation guidance and helping for the UAV that cannot work, that is realized by cooperation of multi-UAVs. In this paper, we describe the approach to decide the evacuation guidance route for UAV and change the route flexibly. In addition, we describe the function of cooperation of multi-UAVs. We performed experiments on path re-planning according to disaster situation in simulation and flight of UAV in real world to confirm the effectiveness of our approach.
基于多智能体的无人机疏散制导支持系统设计与实现
世界各地都会发生大地震、海啸、台风、火山喷发等巨大灾害,因此需要建立防灾体系。特别是,大地震引起的海啸造成严重的破坏。为了减少海啸造成的损失,提出了一种多无人机的疏散制导支援方案。具体来说,软件代理根据灾害情况、疏散路线的海拔高度、疏散路线到海岸线的距离等因素,确定无人机最安全的疏散引导路线。在疏散引导过程中,agent根据灾情灵活改变路线。同时,通过多无人机协作实现对无法工作的无人机的高效疏散引导和帮助功能,有效地进行疏散制导支持。本文描述了无人机疏散引导路径的确定和路径的灵活变更方法。此外,我们还描述了多无人机的协作功能。通过模拟灾害情况和无人机实际飞行情况下的路径重新规划实验,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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