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针对复杂场景下的人群疏散运动,提出一种改进的社会力模型与人工蜂群算法相结合的方法.利用改进的人工蜂群算法进行实时宏观路径规划,底层结合修正的社会力模型指导个体运动.考虑到视角对个体运动的影响,在原始社会力模型基础上引入视觉影响因子,同时消除互不可见个体间的社会心理力;依据行人疏散过程中出现的结伴、从众现象,在人工蜂群算法中引入分组策略,同时将疏散时间作为适应度评判标准,符合现实疏散中行人的心理特征,提高了算法的收敛速度及寻优精度.实验结果表明,该方法下人群运动流畅自然,能够实现更真实的仿真效果,对紧急情况下的人群疏散具有指导意义.
Aiming at the crowd evacuation movement in complex scenes, an improved social force model combined with artificial bee colony algorithm is proposed.An improved artificial bee colony algorithm is used to carry out real-time macroscopic path planning, and the bottom is a combination of modified social force model to guide individual movement In view of the influence of perspective on individual movement, visual impact factors are introduced on the basis of the original social force model, and at the same time, the social and psychological forces among individuals that are not visible to each other are eliminated. According to the phenomenon of partnering and obedience in the evacuation of pedestrians, In the algorithm, the strategy of grouping is introduced, and the evacuation time is taken as the criterion of fitness to meet the psychological characteristics of the evacuation pedestrians, which improves the convergence speed and accuracy of the algorithm.Experimental results show that this method can make the movement of people smooth and natural More realistic simulation effect, evacuation of people in emergency situations is instructive.