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

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dc.contributor.author Arai, Ismail en
dc.contributor.author El-Tawab, Samy en
dc.contributor.author Salman, Ahmad en
dc.contributor.author Elnoshokaty, Ahmed en
dc.date.accessioned 2022-04-27T02:50:24Z en
dc.date.available 2022-04-27T02:50:24Z en
dc.date.issued 2022-01-31 en
dc.identifier.isbn 978-1-6654-3841-4 en
dc.identifier.uri http://hdl.handle.net/10061/14727 en
dc.description 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT),12-16 Dec. 2021,Dubai, United Arab Emirates en
dc.description.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. en
dc.language.iso en en
dc.publisher IEEE en
dc.relation.isversionof https://ieeexplore.ieee.org/document/9693002 en
dc.rights © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 出版社許諾条件により、本文は2024年2月1日以降に公開 ja
dc.subject COVID-19 en
dc.subject Pandemics en
dc.subject Conferences en
dc.subject Urban areas en
dc.subject Transportation en
dc.subject Internet of Things en
dc.subject Artificial intelligence en
dc.title The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA en
dc.type.nii Conference Paper en
dc.contributor.transcription アライ, イスマイル ja
dc.contributor.alternative 新井, イスマイル ja
dc.textversion author en
dc.identifier.spage 51 en
dc.identifier.epage 56 en
dc.relation.doi 10.1109/GCAIoT53516.2021.9693002 en
dc.identifier.NAIST-ID 74652785 en


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