论文标题
基于代理的行人动力学模拟流行风险评估中的暴露时间估计
Agent-based Simulation of Pedestrian Dynamics for Exposure Time Estimation in Epidemic Risk Assessment
论文作者
论文摘要
随着Corona病毒疾病2019（COVID-19）在世界范围内大流行，含有该病毒的保护措施至关重要，尤其是只要没有疫苗或有效的治疗方法。一个重要的措施是所谓的身体距离或社会距离。在本文中，我们提出了一个基于代理的人行人动力学的数值模拟，以评估在Covid-19（例如Covid-19）的接触传染性疾病的接触传播中，在公共场所的行为，并收集有关暴露时间和疏远度量的整体有效性的见解。为了遵守德国政府以2％的感染率规定的150万美元$ $ $，我们的模拟结果表明，一个人的密度为每1600万美元^2 $或以下是足够的。这项研究的结果可以深入了解如何更有效地采用物理距离作为保护措施，以帮助减少COVID-19的传播。
With the Corona Virus Disease 2019 (COVID-19) pandemic spreading across the world, protective measures for containing the virus are essential, especially as long as no vaccine or effective treatment is available. One important measure is the so-called physical distancing or social distancing. In this paper, we propose an agent-based numerical simulation of pedestrian dynamics in order to assess behaviour of pedestrians in public places in the context of contact-transmission of infectious diseases like COVID-19, and to gather insights about exposure times and the overall effectiveness of distancing measures. To abide the minimum distance of $1.5m$ stipulated by the German government at an infection rate of 2%, our simulation results suggest that a density of one person per $16m^2$ or below is sufficient. The results of this study give insight about how physical distancing as a protective measure can be carried out more efficiently to help reduce the spread of COVID-19.
