Knowing how crowds behave is crucial to understanding pedestrian evacuation. In this work, we study strategy evolution in pedestrian room evacuation using a cellular automaton (CA) model with a spatial game. Agents play the game under certain conditions. While playing the game, they choose one of the three strategies (Patient strategy, Normal strategy and Impatient strategy) according to either fitness or imitation that leads to patient, normal or impatient behavior. Interactions among agents are reflected by the payoffs (related with friction cost) which may depend on agents’ surroundings. Simulation results show how evacuation conditions, agents’ individual actions, and friction cost affect strategy evolution in pedestrian room evacuation. It is found that cooperation exists both in emergency situation and relatively nonemergency situation, but appears more in the latter one. The imitation action has negative impacts either on the evolution of Normal strategy in relatively nonemergency situation or on the evolution of Patient strategy in emergency situation. In addition, uniform evolution phenomena are observed in the evacuation process, despite different composition of initial agents.

中文翻译：

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行人房间疏散策略的演变

了解人群的行为方式对于了解行人疏散至关重要。在这项工作中，我们使用带有空间博弈的元胞自动机 (CA) 模型研究行人房间疏散的策略演变。代理在特定条件下玩游戏。在玩游戏时，他们根据导致耐心、正常或不耐烦行为的适应度或模仿，选择三种策略（耐心策略、正常策略和不耐烦策略）中的一种。代理之间的交互由收益（与摩擦成本相关）反映，这可能取决于代理的环境。模拟结果显示了疏散条件、代理人的个人行动和摩擦成本如何影响行人房间疏散的策略演变。发现在紧急情况和相对非紧急情况下都存在合作，但在后一种中出现得更多。模仿动作对相对非紧急情况下的正常策略的演变或紧急情况下的患者策略的演变都有负面影响。此外，尽管初始试剂的组成不同，但在疏散过程中观察到均匀的演化现象。