Crowd dynamics have important applications in evacuation management systems relevant to organizing safer large scale gatherings. For crowd safety, it is very important to study the evolution of potential crowd behaviours by simulating the crowd evacuation process. Planning crowd control tasks by studying the impact of crowd behaviour evolution towards evacuation could mitigate the possibility of crowd disasters. During a typical emergency evacuation scenario, conflict among agents occurs when agents intend to move to the same location as a result of the interaction with their nearest neighbours. The effect of the agent response towards their neighbourhood is vital in order to understand the effect of variation of crowd behaviour on the whole environment. In this work, we model crowd motion subject to exit congestion under uncertainty conditions in a continuous space via computer simulations. We model best-response, risk-seeking, risk-averse and risk-neutral behaviours of agents via certain game-theoretic notions. We perform computer simulations with heterogeneous populations in order to study the effect of the evolution of agent behaviours towards egress flow under threat conditions. Our simulation results show the relation between the local crowd pressure and the number of injured agents. We observe that when the proportion of agents in a population of risk-seeking agents is increased, the average crowd pressure, average local density and the number of injured agents increases. Besides that, based on our simulation results, we can infer that crowd disasters could be prevented if the agent population consists entirely of risk-averse and risk-neutral agents despite circumstances that lead to threats.

中文翻译：

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潜在人群行为对紧急疏散的影响：一种进化博弈论方法

人群动态在疏散管理系统中与组织更安全的大规模聚会有关的重要应用。对于人群安全，通过模拟人群疏散过程来研究潜在人群行为的演变非常重要。通过研究人群行为演变对疏散的影响来计划人群控制任务可以减轻人群灾难的可能性。在典型的紧急疏散场景中，当代理商由于与其最近的邻居互动而打算移至同一位置时，代理商之间会发生冲突。为了了解人群行为变化对整个环境的影响，代理商对其邻居的反应影响至关重要。在这项工作中 我们通过计算机模拟对在连续空间中不确定性条件下出口拥挤的人群运动进行建模。我们通过某些博弈论概念对代理商的最佳响应，寻求风险，规避风险和风险中立的行为进行建模。我们使用异类种群进行计算机模拟，以研究威胁条件下智能体行为向出口流发展的影响。我们的模拟结果显示了当地人群压力与受伤特工人数之间的关系。我们观察到，当寻求风险的代理商群体中代理商​​的比例增加时，平均人群压力，平均局部密度和受伤代理商的数量都会增加。除此之外，根据我们的仿真结果，