人群排队模拟中基于个性的情绪传染与控制模型

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

ACM Transactions on Modeling and Computer Simulation Pub Date : 2022-12-20 DOI:10.1145/3577589

Junxiao Xue, Mingchuan Zhang, Hui Yin

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引用次数: 1

摘要

排队是一项频繁的日常活动。然而，排长队就相当于挫败感和潜在的安全隐患。我们提出了一个新颖的、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。通过主体与外部环境参数的相互作用，利用基于心理学著名理论的情绪传染模型来完成主体的行为规划和路径规划功能。我们将流行病学SIR模型与细胞自动机模型相结合，以捕捉多智能体模拟的各种情绪建模。整个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。我们在模拟结果和各种场景下的真实世界观察结果之间进行定性和定量比较。大量实验表明，合理增加队列通道和添加管理代理可以有效地提高队列的质量。

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A Personality-based Model of Emotional Contagion and Control in Crowd Queuing Simulations

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.

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来源期刊

ACM Transactions on Modeling and Computer Simulation 工程技术-计算机：跨学科应用

CiteScore

2.50

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods. The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.