基于动态情绪驱动的人员应急疏散模型

针对应急疏散中人员的动态疏散行为,将情绪感知及传染机制引入行人运动策略,以SIS(susceptible-infectious-susceptible)模型为基础构造了人员情绪更新函数,提出了情绪感知域界定,改进了元胞自动机的动态场.通过仿真实验对所构建动态情绪驱动人员疏散运动模型的性能开展分析,验证了该模型符合个体运动的动态特征.同时探讨了动态行为切换的情绪强度阈值、感染系数和平静系数等因素对疏散过程的影响.结果表明:个体情绪强度阈值决定了系统的个体最终状态,而感染系数和平静系数影响状态变化速率,进而影响疏散时间.该研究为疏散人群管理提供理论依据.

Growd Emergency Evacuation Model Based on Dynamic Emotion Drive

Aiming at the crowd dynamic behavior in emergency evacuation, emotion perception and infection mechanism are combined into behavior decision-making. Based on the susceptible-infectious-susceptible model (SIS model), emotion updating function is constructed in order to improve the dynamic field and transition probability of cellular automata. By analyzing the performance of the constructed model, it is verified that the emergency evacuation model conforms to the dynamic characteristics of crowd flow. Moreover, through simulation experiments, the effect of system parameters is analyzed on dynamic behavior switching, and the impacts of such parameters of dynamic behavior switching as emotional intensity threshold, infection coefficient, and calmness coefficient are explored. The results show that the individual emotional intensity threshold determines the individual final state of the system. The infection and calmness coefficients affect the rate of state change and evacuation time. This research provides a theoretical basis for the management of evacuated crowd.