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Shepherding Behaviors with Single Shepherd in Crowd Management

机译：人群管理中单牧羊人的牧羊人行为

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摘要

Crowd management is to systematically plan and supervise the orderly movement and assembly of a crowd. Shepherding behaviors are a class of flocking behaviors in which one or more external agents (called shepherds) try to control the motion of another group of agents (called a flock), it has a leading application in influencing the behavior and activities of a potentially hostile crowd and bringing a mob engaged in a riot under control. In this paper, we focus on investigating shepherding behaviors with single shepherd in normal situation. In our approach, we use a global dynamic planning algorithm which is the multi-agent planning algorithm in dynamic environment to update the next region occasionally where the flock will be steered to. Also, in order to cope with unexpected events in emergency situation, we combine shepherding behaviors with behavior selection mechanisms which are implemented in rules. The simulation results show that our approach which is validated in an urban circumstance is effective and feasible.
机译：人群管理是系统地计划和监督人群的有序运动和大会。牧人行为是一类植绒行为，其中一个或多个外部药剂（称为牧羊人）试图控制另一组药剂的运动（称为羊群），它具有影响潜在敌对的行为和活动的主要应用人群并在控制下带来一个骚乱的暴徒。在本文中，我们专注于在正常情况下调查单人牧羊犬的牧羊人行为。在我们的方法中，我们使用全局动态规划算法，该算法是动态环境中的多代理规划算法，以偶尔更新下一个区域，其中将被引导到植绒。此外，为了应对应急情况的意外事件，我们将牧养行为与在规则中实施的行为选择机制相结合。仿真结果表明，我们在城市环境中验证的方法是有效可行的。

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