| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2025-08-27 |
| 日付 |
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日付 |
2026-10-30 |
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日付タイプ |
Available |
| タイトル |
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タイトル |
Analysis for Automatic Extraction of Uncomfortable Driving by Constatnt Observation of Route Buses Using Anonymous Sensors |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
Visualization |
| キーワード |
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主題Scheme |
Other |
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主題 |
Limiting |
| キーワード |
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主題Scheme |
Other |
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主題 |
Training data |
| キーワード |
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主題Scheme |
Other |
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主題 |
Manuals |
| キーワード |
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主題Scheme |
Other |
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主題 |
Thermal sensors |
| キーワード |
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主題Scheme |
Other |
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主題 |
Cameras |
| キーワード |
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主題Scheme |
Other |
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主題 |
Thermal analysis |
| キーワード |
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主題Scheme |
Other |
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主題 |
Data mining |
| キーワード |
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主題Scheme |
Other |
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主題 |
Accidents |
| キーワード |
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主題Scheme |
Other |
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主題 |
Vehicles |
| キーワード |
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主題Scheme |
Other |
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主題 |
anonymous sensor |
| キーワード |
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主題Scheme |
Other |
|
主題 |
uncomfortable driving |
| キーワード |
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主題Scheme |
Other |
|
主題 |
training data |
| 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 |
Akiyama, Toyokazu
Matsuo, Naoki
新井, イスマイル
Yamamoto, Hiroshi
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Bus accidents caused by aging and understaffed bus drivers have become a significant social issue, and the high rate of in-vehicle accidents is particularly problematic for route buses. It’s crucial to reduce the number of these accidents. In this study, we created training data to automatically identify unpleasant driving conditions using sensor data collected on board route buses. To address privacy concerns and data volume, we utilized a low-resolution far-infrared camera for visual inspections inside the bus. Additionally, we analyzed vehicle speed, GPS data, and acceleration sensor data. Manual scrutiny of large sensor data volumes is time-consuming, so we focused on specific data points and approximate threshold values of acceleration based on the sensor characteristics and prior research. Through this approach, we selected suitable data refinement conditions from the cases identified and broadened the analysis scope to generate training data. Consequently, we found that gathering training data while reducing the processing time through the use of appropriate data refinement conditions was feasible. |
| 書誌情報 |
en : 2024 IEEE International Conference on Smart Mobility (SM)
p. 40-47,
ページ数 8,
発行日 2024-10-30
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| 会議情報 |
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会議名 |
2024 International Conference on Smart Mobility (SM) |
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開始年 |
2024 |
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開始月 |
09 |
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開始日 |
16 |
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終了年 |
2024 |
|
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終了月 |
09 |
|
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終了日 |
18 |
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開催期間 |
2024-09-16 - 2024-09-18 |
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開催地 |
Niagara Falls, ON, Canada |
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開催国 |
CAN |
| 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/10.1109/SM63044.2024.10733478 |
| 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/abstract/document/10733478 |
| 権利 |
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|
権利情報 |
© 2024, 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2026年10月30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 Society for the Promotion of Science (JSPS) |
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研究課題番号 |
JP20H04183 |
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研究課題番号URI |
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H04183/ |
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研究課題名 |
乗客の不快感情を考慮した安全運転支援システムの研究開発 |
| 助成情報 |
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助成機関名 |
Kyoto Sangyo University |
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研究課題名 |
Institute for Comprehensive Research “Special research project” |
fulltext (2.2 MB)
