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アイテム
Origin Destination Estimation Carrying Over Rolling Proximity Identifiers with RSSI
http://hdl.handle.net/10061/0002000143
http://hdl.handle.net/10061/000200014377539153-251d-494b-9398-230dc72cdd6d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
fulltext (10.9 MB)
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| アイテムタイプ | 会議発表論文 / Conference Paper(1) | |||||||
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| 公開日 | 2024-03-21 | |||||||
| タイトル | ||||||||
| タイトル | Origin Destination Estimation Carrying Over Rolling Proximity Identifiers with RSSI | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | Origin-destination | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | Public Transportation | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | Wireless Sensing | |||||||
| 資源タイプ | ||||||||
| 資源タイプ | conference paper | |||||||
| 著者 |
Kawashima, Masato
× Kawashima, Masato
× 新井, イスマイル× 遠藤, 新× 垣内, 正年× 藤川, 和利 |
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Origin destination (OD) data describing passengers' flows is essential for improving bus route operational efficiency. Manual collection of OD data is still conducted, so automatic OD data acquisition using the internet of things (IoT) is desired. One method utilizes Bluetooth beacon identifiers to understand passengers' flows while considering their privacy. Still, while random MAC addresses can estimate the number of devices there, they are insufficient for generating ODs. In contrast, in response to the COVID-19 pandemic, the government promoted the exposure notification system to prevent secondary infection. The smartphone app exchanges short-term identifiers called Rolling Proximity Identifiers (RPIs), updated every 15 minutes. This research aims to realize tracking during bus rides with only a few RPIs carryovers, since bus rides are only about an hour long at most. We evaluated the system on a bus in Kyoto City and successfully tracked passengers for 55 minutes, the experiment's maximum length. | |||||||
| 書誌情報 |
en : 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) 発行日 2023-01-25 |
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| 会議情報 | ||||||||
| 会議名 | 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) | |||||||
| 開始年 | 2022 | |||||||
| 開始月 | 12 | |||||||
| 開始日 | 18 | |||||||
| 終了年 | 2022 | |||||||
| 終了月 | 12 | |||||||
| 終了日 | 21 | |||||||
| 開催地 | Alamein New City | |||||||
| 開催国 | EGY | |||||||
| 出版者 | ||||||||
| 出版者 | IEEE | |||||||
| 出版者版DOI | ||||||||
| 関連タイプ | isVersionOf | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.1109/GCAIoT57150.2022.10019176 | |||||||
| 出版者版URI | ||||||||
| 関連タイプ | isVersionOf | |||||||
| 識別子タイプ | URI | |||||||
| 関連識別子 | https://ieeexplore.ieee.org/document/10019176 | |||||||
| 権利 | ||||||||
| 権利情報 | $00A9 2022 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2025年1月25日以降に公開 | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | AM | |||||||
