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Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata

机译:使用蜂窝自动机的最少努力人群移动的行人群体建模

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Groups of pedestrians like family members and friends normally move slower than others and therefore act as a virtual barrier and slow down the crowd. In this paper we present our variation of least effort cellular automata algorithm which also considers the effect of pedestrian groups on crowd movement. The algorithm has been used in small scale movement layer of our multi-agent crowd simulation platform in order to allow more realistic simulations of crowd flows. A simple walkway scenario has been used to test the outcome of the model. Preliminary results of the simulation of the effect of groups are reported in this paper.
机译:像家人和朋友这样的行人群体通常比其他人慢,因此充当虚拟障碍,减缓人群。在本文中,我们展示了我们最少努力的变异蜂窝自动机算法,该算法也考虑了行人群体对人群运动的影响。该算法已用于我们多级代理人群仿真平台的小型运动层,以便更逼真的人群流动模拟。简单的人行道方案已被用来测试模型的结果。本文报道了群体效果模拟的初步结果。

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