The escape panic version of the Social Force Model (SFM) is a suitable model for describing emergency evacuations. In this research, we analyze a real-life video, recorded at the opening of a store during a Black Friday event, which resembles an emergency evacuation (November 2017, South Africa). We measure the flow of pedestrians entering the store and found a higher value ($〈J〉=6.7\pm 0.8$p/s) than the usually reported in “laboratory” conditions. We performed numerical simulations to recreate this event. The empirical measurements were compared against simulated evacuation curves corresponding to different sets of parameters currently in use in the literature. The results obtained suggest that the set of parameters corresponding to calibrations from laboratory experiments (involving pedestrians in which the safety of the participants is of major concern) or situations where the physical contact is negligible, produce simulations in which the agents evacuate faster than in the empirical scenario. To conclude the paper, we optimize two parameters of the model: the friction coefficient $k_t$ and the body force coefficient $k_n$. The best fit we found could replicate the qualitative and quantitative behavior of the empirical evacuation curve. We also found that many different combinations in the parameter space can produce similar results in terms of the goodness of fit.

社会力量模型（SFM）的逃生恐慌版本是描述紧急疏散的合适模型。在这项研究中，我们分析了一个真实的视频，该视频是在黑色星期五事件期间在一家商店开业时录制的，类似于紧急疏散（2017年11月，南非）。我们测量了行人进入商店的流量，发现有较高的价值（$〈Ĵ〉=6。7\pm 0。8$p / s），而不是通常在“实验室”条件下报告的值。我们执行了数值模拟来重新创建此事件。将经验测量值与对应于文献中当前使用的不同参数集的模拟疏散曲线进行比较。所获得的结果表明，与实验室实验（涉及行人的安全问题最为关注的行人）或身体接触可忽略的情况下的校准相对应的一组参数，会产生模拟，其中代理商的撤离速度要快于实验室中的人员。经验场景。总结本文，我们优化了模型的两个参数：摩擦系数${ķ}_{Ť}$ 和体力系数 ${ķ}_{ñ}$。我们发现的最佳拟合可以复制经验疏散曲线的定性和定量行为。我们还发现，就拟合优度而言，参数空间中的许多不同组合都可以产生相似的结果。