考虑诱导信息耦合作用的人群疏散模型

Pedestrian Evacuation Model Considering Coupling Effects of Guide Information

为探究多种诱导信息对疏散中人群的叠加作用,在元胞自动机离散环境的基础上提出动态扫描算法,快速获取行人的第一人称视角。基于第一人称视角定义人群运动信息和引导员指示信息耦合规则,结合元胞自动机建立考虑诱导信息耦合作用的人群疏散模型。模拟结果表明:跟随效应作用会导致出口使用不均衡;引导员信息强度的适量增加可以有效改善出口使用的均衡程度,但强度超过某定值时几乎所有行人按引导员指示运动,出口使用失衡;引导员位置分布对疏散过程产生明显影响,且引导员连线应尽可能与疏散路线垂直。该模型提供一种多种视觉诱导信息耦合作用的研究框架。

In order to explore the superposition effect of various guidance information on the crowd in evacuation,a dynamic scanning algorithm is proposed based on the discrete environment of cellular automata to quickly obtain the first-person perspective of pedestrians.Based on the first-person perspective,the coupling rules of crowd movement information and guide instruction information are defined,and an evacuation model considering the coupling effect of guide information by combining with cellular automata.The simulation results show that:the effect of following leads to the unbalanced exit use;the moderate increase of the intensity of the guide information can effectively improve the balanced of exit use.However,when the intensity exceeds a certain value almost all pedestrians move according to the guide instructions,and the exit use is unbalanced.Guiders′distribution has a significant impact on the evacuation process,and the guide link should be perpendicular to the evacuation route as much as possible.The model provides a framework for the study of the coupled effects of multiple visually guide information.