Queuing is a frequent daily activity. However, long waiting lines equate to frustration and potential safety hazards. We present a novel, personality-based model of emotional contagion and control for simulating crowd queuing. Our model integrates the influence of individual personalities and interpersonal relationships. Through the interaction between the agents and the external environment parameters, the emotional contagion model based on well-known theories in psychology is used to complete the agents’ behavior planning and path planning function. We combine the epidemiological SIR model with the cellular automaton model to capture various emotional modelling for multi-agent simulations. The overall formulation involves different emotional parameters, such as patience, urgency, and friendliness, closely related to crowd queuing. In addition, to manage the order of the queue, governing agents are added to prevent the emotional outbreak. We perform qualitative and quantitative comparisons between our simulation results and real-world observations on various scenarios. Numerous experiments show that reasonably increasing the queue channel and adding governing agents can effectively improve the quality of queues.

排队是一项频繁的日常活动。然而，排长队等同于沮丧和潜在的安全隐患。我们提出了一种新颖的、基于个性的情绪传染和控制模型，用于模拟人群排队。我们的模型综合了个人性格和人际关系的影响。通过智能体与外部环境参数的交互作用，利用基于心理学著名理论的情绪传染模型，完成智能体的行为规划和路径规划功能。我们将流行病学 SIR 模型与元胞自动机模型相结合，为多代理模拟捕获各种情绪模型。整体公式涉及不同的情绪参数，如耐心、紧迫性和友好性，与人群排队密切相关。此外，为了管理队列的顺序，添加了管理代理以防止情绪爆发。我们对各种场景的模拟结果和真实世界的观察结果进行了定性和定量比较。大量实验表明，合理增加队列通道和增加治理代理可以有效提高队列质量。