模拟超市中的人际互动，以衡量COVID-19大规模传染的风险
Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale
摘要：
以模拟零售环境的背景下，使用基于代理的建模，一个理论模型，描述了客户的“碰撞”的概率分布，使用一种新的空间变换的环面$Tor^2$。提出了一种基于购物篮历史数据的客户路径分布生成方法。最后，统计意义所需的模拟的数量的计算。目前正在开发这种模拟方法的实施，以便在工业规模上对多种悬挂物几何形状进行模拟，目前的进展情况详见技术附录。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
