A kinetic theory model of human crowds accounting for visual attention

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jun Ma, Meiling Wang, Linze Li
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引用次数: 3

Abstract

The visual attention of pedestrians has been rarely considered in studies of congestion prevention in long-distance passages. This paper proposes a kinetic theory model of human crowds accounting for visual attention to study congestion in long-distance passages. The population is divided into visual attention-shifting pedestrians (VAS pedestrians) and nonvisual attention-shifting pedestrians (non-VAS pedestrians). First, the movement characteristics of all pedestrians are analyzed based on observations and measurements obtained through controlled experiments. Moreover, a pedestrian flow model accounting for visual attention is built to transform the characteristics of pedestrian movement into a mathematical model. Finally, validation is done, and the density and the proportion of VAS pedestrians are selected as congestion warning parameters. Simulations are performed for a subway passage connected to stairs, and the effect of visual attention, the critical thresholds of congestion warning parameters, and the effects of implementing mitigation measures immediately after congestion occurs are assessed. The experimental results show that the movement characteristics of VAS pedestrians and non-VAS pedestrians are different. Simulation results show that the model is effective. Notably, visual attention has an impact on pedestrian movement, and using the density and the proportion of VAS pedestrians as early warning indicators is effective for preventing the occurrence of congestion, as demonstrated by the negative correlation between the two critical thresholds. This description of human groups provides quantitative guidelines for crowd management.
考虑视觉注意的人类群体动力学理论模型
在长距离交通拥堵预防研究中,很少考虑行人的视觉注意力。本文提出了一种考虑视觉注意的人群动力学模型,用于研究长距离通道的拥堵。将人群分为视觉注意转移行人(VAS pedestrian)和非视觉注意转移行人(non-VAS pedestrian)。首先,根据控制实验的观察和测量结果,分析所有行人的运动特征。建立了考虑视觉注意的行人流模型,将行人运动特征转化为数学模型。最后进行验证,选择VAS行人的密度和比例作为拥堵预警参数。以连接楼梯的地铁通道为例进行了模拟,评估了视觉注意力的影响、拥堵预警参数的临界阈值以及拥堵发生后立即实施缓解措施的效果。实验结果表明,VAS行人和非VAS行人的运动特征是不同的。仿真结果表明该模型是有效的。值得注意的是,视觉注意力对行人运动有影响,使用VAS行人密度和比例作为预警指标可以有效防止拥堵的发生,这两个临界阈值之间存在负相关关系。这种对人类群体的描述为人群管理提供了定量指导。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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