The paper describes research activities of monitoring, modeling, and planning of people mobility in Rome during the Covid-19 epidemic period from March to June 2020. The results of data collection for different transport modes (walking, bicycle, car, and transit) are presented and analyzed. A specific focus is provided for the subway mass transit, where 1 m interpersonal distancing is required to prevent the risks for Covid-19 contagion together with the use of masks and gloves. A transport system model has been calibrated on the data collected during the lockdown period –when people's behavior significantly changed because of smart-working adoption and contagion fear– and was applied to predict future mobility scenarios under different assumptions on economic activities restarting. Based on the estimations of passenger loading, a timing policy that differentiates the opening hours of the shops depending on their commercial category was implemented, and an additional bus transit service was introduced to avoid incompatible loads of the subway lines with the required interpersonal distancing.

本文描述了 2020 年 3 月至 2020 年 6 月 Covid-19 流行期间罗马人员流动的监测、建模和规划研究活动。不同交通方式（步行、自行车、汽车和公共交通）的数据收集结果是提出和分析。特别关注地铁公共交通，其中需要 1 米的人际距离，以防止 Covid-19 传染的风险以及使用口罩和手套。运输系统模型已经根据锁定期间收集的数据进行了校准——当时人们的行为由于智能工作的采用和对传染的恐惧而发生了显着变化——并被应用于预测经济活动重启的不同假设下的未来流动性情景。根据载客量的估计，