计算机科学 ›› 2019, Vol. 46 ›› Issue (3): 287-297.doi: 10.11896/j.issn.1002-137X.2019.03.043
王梦思,张桂娟,刘弘
WANG Meng-si, ZHANG Gui-juan, LIU Hong
摘要: 在人群疏散过程中,个体往往会聚集成小的分组,而分组内部也存在个体差异,但是现有的情绪感染模型大都没有考虑这些因素的影响。为了提高疏散模拟的真实性,以社会比较理论为研究基础,提出一种基于异构情绪感染模型的人群疏散仿真方法。首先,设计了一种基于Durupinar模型的异构情绪感染计算方法,在该方法中,提出了一种基于分组的情绪感染计算方法,根据个体间的距离和关系对人群进行分组,研究分组对情绪感染计算的影响;在此基础上,提出基于特征的恐慌程度计算方法,根据个性、性别、年龄的特征差异将个体特殊化,并利用上述特征进行情绪恐慌程度计算。其次,将异构情绪感染模型应用于人群运动过程,通过异构情绪驱动人群运动行为。最后,利用真实感渲染平台模拟人群运动仿真效果。基于异构情绪感染模型的人群疏散仿真方法可以逼真地模拟不同场景下的人群运动过程,与以往方法相比,该方法考虑了分组和个体特征差异对情绪的影响,体现了个体之间的异构性。实验结果表明,使用所提方法进行人群运动过程模拟更加符合现实情况。
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