WEKO3
アイテム
Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification
http://hdl.handle.net/2237/9623
http://hdl.handle.net/2237/9623d18d907d-a781-4160-9392-ca13160b17df
名前 / ファイル | ライセンス | アクション |
---|---|---|
miyajima.pdf (1.5 MB)
|
|
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2008-03-24 | |||||
タイトル | ||||||
タイトル | Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification | |||||
言語 | en | |||||
著者 |
Miyajima, Chiyomi
× Miyajima, Chiyomi× Nishiwaki, Yoshihiro× Ozawa, Koji× Wakita, Toshihiro× Itou, Katsunobu× Takeda, Kazuya× Itakura, Fumitada |
|||||
アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | Copyright © 2007 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Car-following | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | driver identification | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | driver modeling | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | driving behavior | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Gaussian mixture model (GMM) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | pedal operation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | spectral analysis | |||||
抄録 | ||||||
内容記述 | All drivers have habits behind the wheel. Different drivers vary in how they hit the gas and brake pedals, how they turn the steering wheel, and how much following distance they keep to follow a vehicle safely and comfortably. In this paper, we model such driving behaviors as car-following and pedal operation patterns. The relationship between following distance and velocity mapped into a two-dimensional space is modeled for each driver with an optimal velocity model approximated by a nonlinear function or with a statistical method of a Gaussian mixture model (GMM). Pedal operation patterns are also modeled with GMMs that represent the distributions of raw pedal operation signals or spectral features extracted through spectral analysis of the raw pedal operation signals. The driver models are evaluated in driver identification experiments using driving signals collected in a driving simulator and in a real vehicle. Experimental results show that the driver model based on the spectral features of pedal operation signals efficiently models driver individual differences and achieves an identification rate of 76.8 % for a field test with 276 drivers, resulting in a relative error reduction of 55 % over driver models that use raw pedal operation signals without spectral analysis. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | ja | |||||
出版者 | IEEE | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1109/JPROC.2006.888405 | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 0018-9219 | |||||
書誌情報 |
en : Proceedings of the IEEE 巻 95, 号 2, p. 427-437, 発行日 2007 |
|||||
フォーマット | ||||||
application/pdf | ||||||
著者版フラグ | ||||||
値 | publisher | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/9623 | |||||
識別子タイプ | HDL |