论文标题
模拟超市中的人类相互作用，以测量COVID-19的风险
Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale
论文作者
论文摘要
使用基于代理的建模来模拟零售环境的上下文，提出了一个理论模型，该模型使用新颖的空间转换到torus $ tor^2 $中描述了客户“碰撞”的概率分布。开发了一种基于历史篮子数据生成客户路径分布的方法。最后，开发了统计显着性所需的模拟数量的计算。正在开发这种建模方法以在工业规模上运行多个商店几何形状的模拟，并且在技术附录中详细介绍了当前的进度。
Taking the context of simulating a retail environment using agent based modelling, a theoretical model is presented that describes the probability distribution of customer "collisions" using a novel space transformation to the Torus $Tor^2$. A method for generating the distribution of customer paths based on historical basket data is developed. Finally a calculation of the number of simulations required for statistical significance is developed. An implementation of this modelling approach to run simulations on multiple store geometries at industrial scale is being developed with current progress detailed in the technical appendix.
