COVID-19对日本和美国两个地区交通系统的影响

2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) Pub Date : 2021-12-02 DOI:10.1109/gcaiot53516.2021.9693002

Ismail Arai, Samy El-Tawab, A. Salman, A. Elnoshokaty

{"title":"COVID-19对日本和美国两个地区交通系统的影响","authors":"Ismail Arai, Samy El-Tawab, A. Salman, A. Elnoshokaty","doi":"10.1109/gcaiot53516.2021.9693002","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":169247,"journal":{"name":"2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA\",\"authors\":\"Ismail Arai, Samy El-Tawab, A. Salman, A. Elnoshokaty\",\"doi\":\"10.1109/gcaiot53516.2021.9693002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":169247,\"journal\":{\"name\":\"2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/gcaiot53516.2021.9693002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/gcaiot53516.2021.9693002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

过去十年发生的通信革命增加了技术在交通领域的应用。智能交通系统希望预测一个交通系统需要多少辆公共汽车。鉴于全球自2020年初以来面临的大流行影响，研究大流行对交通系统的影响至关重要。本文提出利用物联网(IoT)设备来预测大流行之前和期间的公交车乘客数量。我们将从日本兵库县神户市收集的数据与从美国弗吉尼亚州一个大学城收集的数据进行比较。我们的目标是在两个不同的国家展示到2020年疫情对客流量的影响。最终目标是帮助交通系统管理人员预测，如果另一场大流行来袭，需要多少辆公交车。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

自引率

0.00%

发文量