The communication revolution that happened in the last ten years has increased the use of technology in the transportation world. Intelligent Transportation Systems wish to predict how many buses are needed in a transit system. With the pandemic effect that the world has faced since early 2020, it is essential to study the impact of the pandemic on the transit system. This paper proposes the leverage of Internet of Things (IoT) devices to predict the number of bus ridership before and during the pandemic. We compare the collected data from Kobe city, Hyogo, Japan, with data gathered from a college city in Virginia, USA. Our goal is to show the effect of the pandemic on ridership through the year 2020 in two different countries. The ultimate goal is to help transit system managers predict how many buses are needed if another pandemic hits.

翻译：过去十年中发生的通信革命增加了运输界对技术的利用。智能运输系统希望预测过境系统需要多少公共汽车。鉴于世界自2020年初以来面临的大流行病效应,必须研究这一大流行病对过境系统的影响。本文件提议利用物联网设备预测该大流行病之前和期间的公共汽车驾驶数量。我们比较了从日本兵库神户市收集的数据,以及从美国弗吉尼亚州一所大学城市收集的数据。我们的目标是显示该大流行病对到2020年在两个国家的骑车的影响。最终目标是帮助过境系统管理人员预测如果再次发生大流行病,需要多少辆公共汽车。