基于人机社会力模型的人群疏散算法

针对公共场合紧急情况下人群疏散困难和效果有限的问题，提出一种基于人机社会力模型的机器人疏散人群的方法。首先，基于原始社会力模型提出了一种新的人机社会力模型，该模型在原始社会力模型的基础上加入了机器人对人作用的人机作用力；然后，基于人机社会力模型提出一种新的利用机器人疏散人群的方法，该方法在人群疏散场景中加入运动机器人，通过机器人自身的运动，利用人机作用力影响周围行人的运动状态，减小行人之间的压力，从而达到加快人群运动速度、提高人群疏散效率的目的。在室内封闭场景人群逃生、两群行人交错这两种典型的疏散场景中分别进行仿真实验，并将实验结果与未加入机器人的人群疏散结果进行对比分析，实验结果表明，基于人机社会力模型的机器人疏散人群的方法能够明显加快人群的运动，提高人群的疏散效率。

Crowd evacuation algorithm based on human-robot social force model

To deal with the difficulty and low performance of emergency crowd evacuation in public spaces, a crowd evacuation method using robots based on the social force model was proposed. A new human-robot social force model based on the original social force model was first developed, where the human-robot interaction from robots to pedestrians was added to the original social force model. And then, a new method using robot based on the human-robot social force model was presented to evacuate the crowd. After joining the crowd evacuation scenes, the robots can influence the motion of the surrounding pedestrians and reduce the pressure among the pedestrians by moving in the crowd, thus increasing the crowd motion speed and improving the efficiency of crowd evacuation. Two classical scenarios, including a group of crowd escaping from a closed environment and two groups of crowd moving to each other by crossing, were designed and simulated to test the proposed method, and the crowd evacuation method without robots was used for comparison. The experimental results demonstrate that the proposed method based on human-robot social force model can obviously increase the crowd motion speed and improve the efficiency of crowd evacuation.