Most modern agent-based evacuation models involve interactions between evacuees. However, the assumed reasons for interactions and portrayal of them may be overly simple. Research from social psychology suggests that people interact and communicate with one another when evacuating and evacuee response is impacted by the way information is communicated. Thus, we conducted a systematic review of agent-based evacuation models to identify 1) how social interactions and communication approaches between agents are simulated, and 2) what key variables related to evacuation are addressed in these models. We searched Web of Science and ScienceDirect to identify articles that simulated information exchange between agents during evacuations, and social behaviour during evacuations. From the final 70 included articles, we categorised eight types of social interaction that increased in social complexity from collision avoidance to social influence based on strength of social connections with other agents. In the 17 models which simulated communication, we categorised four ways that agents communicate information: spatially through information trails or radii around agents, via social networks and via external communication. Finally, the variables either manipulated or measured in the models were categorised into the following groups: environmental condition, personal attributes of the agents, procedure, and source of information. We discuss promising directions for agent-based evacuation models to capture the effects of communication and group dynamics on evacuee behaviour. Moreover, we demonstrate how communication and group dynamics may impact the variables commonly used in agent-based evacuation models.

翻译：大多数现代基于智能体的疏散模型都涉及疏散者之间的互动。然而，这些互动所基于的假设原因及其刻画方式可能过于简化。社会心理学研究表明，人们在疏散过程中会相互交流和沟通，而疏散者的反应受到信息传递方式的影响。因此，我们对基于智能体的疏散模型进行了系统综述，旨在识别：1）智能体之间的社会互动和沟通方式是如何模拟的；2）这些模型涉及哪些与疏散相关的关键变量。我们检索了Web of Science和ScienceDirect数据库，筛选出模拟疏散过程中智能体间信息交换以及疏散中社会行为的文章。从最终纳入的70篇文章中，我们归纳出八种社会互动类型，其社会复杂度从避免碰撞逐渐递增到基于与其他智能体社会联系强度的社会影响。在17个模拟了沟通的模型中，我们归纳了智能体传递信息的四种方式：通过信息轨迹或智能体周围半径实现的空间传播、通过社交网络传播，以及通过外部通信传播。最后，模型中操控或测量的变量被归类为以下组别：环境条件、智能体个人属性、流程和信息来源。我们探讨了基于智能体的疏散模型捕捉沟通和群体动态对疏散者行为影响的前景方向。此外，我们展示了沟通和群体动态可能如何影响基于智能体的疏散模型中常用的变量。