| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2026-02-19 |
| 日付 |
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日付 |
2027-11-06 |
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日付タイプ |
Available |
| タイトル |
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タイトル |
Origin–Destination Estimation for Route Buses Using BLE Advertising Packets: A Case Study on Two Real-World Routes |
| 言語 |
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言語 |
eng |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
Origin-Destination Estimation |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
Bluetooth Low Energy (BLE) |
| キーワード |
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主題Scheme |
Other |
|
主題 |
MAC Address Randomization |
| 資源タイプ |
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資源タイプ |
conference paper |
| アクセス権 |
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アクセス権 |
embargoed access |
| 著者 |
Hayashi, Kotaro
新井, イスマイル
Matsuda, Yuki
Yoshimura, Taito
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
In recent years, regional bus operations have faced critical challenges including declining ridership and driver shortages. To address these issues and develop efficient operational plans, collecting Origin-Destination (OD) data is essential. However, conventional OD data collection methods are constrained by labor costs and time limitations, while IC card-based approaches miss flat-rate users and cash-paying passengers. Additionally, the introduction of facial recognition cameras raises social acceptability concerns due to surveillance implications. To address these challenges, this study focuses on using Bluetooth Low Energy (BLE) advertising packets emitted by passengers’ mobile devices. However, modern devices periodically and randomly change their BLE MAC addresses, making continuous tracking difficult throughout a trip. To overcome this, we propose a bus OD data estimation method that applies MAC address carry-over technique. This approach exploits the asynchronous nature of MAC address changes and the embedded information in packets to enable continuous tracking. To evaluate the effectiveness of the proposed method, we conducted field experiments on two different operational bus routes. The results demonstrate that the proposed method can estimate OD data with an average precision of 70% (max: 100%, min: 53%) and an average recall of 34% (max: 59%, min: 15%). |
| 書誌情報 |
en : 2025 Fifteenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)
p. 1-6,
ページ数 6,
発行日 2025-11-06
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| 会議情報 |
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会議名 |
ICMU2025 |
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開始年 |
2025 |
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開始月 |
09 |
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開始日 |
10 |
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終了年 |
2025 |
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終了月 |
09 |
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終了日 |
12 |
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開催期間 |
2025-09-10 - 2025-09-12 |
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開催地 |
Busan, Korea |
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開催国 |
KOR |
| 出版者 |
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出版者 |
IEEE |
| 出版者版DOI |
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関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.23919/ICMU65253.2025.11219133 |
| 出版者版URI |
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関連タイプ |
isVersionOf |
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|
識別子タイプ |
URI |
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|
関連識別子 |
https://ieeexplore.ieee.org/document/11219133 |
| 権利 |
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|
権利情報 |
© 2025 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2027年11月6日以降に公開 |
| 著者版フラグ |
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出版タイプ |
AM |
| 助成情報 |
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助成機関名 |
Japan Science and Technology Agency (JST) |
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研究課題番号 |
JPMJPR2039 |
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研究課題名 |
人の知覚を用いた参加型IoTセンサ調整基盤の創出 |
| 助成情報 |
|
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|
助成機関名 |
Japan Science and Technology Agency (JST) |
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研究課題番号 |
JPMJPF2115 |
fulltext (2.2 MB)
