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Real-time identification method of driver model with steering manipulation
http://hdl.handle.net/2297/39216
http://hdl.handle.net/2297/392167e079a39-e4bd-40f4-b4f3-923291d03790
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-TOKUTAKE-H-109.pdf (491.1 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | Real-time identification method of driver model with steering manipulation | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Tokutake, Hiroshi
× Tokutake, Hiroshi× Sugimoto, Youichi× Shirakata, Tetsuro |
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| 書誌情報 |
Source of the Document Vehicle System Dynamics 巻 51, 号 1, p. 109-121, 発行日 2013-01-01 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0042-3114 | |||||
| NCID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00880034 | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1080/00423114.2012.715175 | |||||
| 出版者 | ||||||
| 出版者 | Taylor and Francis | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This study proposes a method for real-time identification of a driver model. The proposed method requires only the yaw rate sensor, the steering angle sensor, and velocity sensors that are usually installed in the production car. The identification algorithm involves the division of the recorded data, prefiltering of the divided data, estimation of the driver's desired response, and identification. The prefilter extracts the driver's involuntary response that can be modelled in a simple form. The ideal car response that the driver attempts to track is estimated from the recorded data, and this response is provided to the identification algorithm of the feedback driver model for error tracking. These newly developed methods enable real-time identification under actual driving conditions. The driving simulator experiments and the actual driving tests were performed, and the proposed method was validated. The results show that the time history of the variation in the driver's characteristics can be realised in real time using the proposed method. © 2013 Copyright Taylor and Francis Group, LLC. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
