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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

A Study of Driver Behavior Under Potential Threats in Vehicle Traffic

http://hdl.handle.net/2237/13901
http://hdl.handle.net/2237/13901
27b96bf7-bb73-4976-9435-89d1744c1c6b
名前 / ファイル ライセンス アクション
Malta_2009-06.pdf Malta_2009-06.pdf (1.0 MB)
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2010-07-30
タイトル
タイトル A Study of Driver Behavior Under Potential Threats in Vehicle Traffic
言語 en
著者 Malta, Lucas

× Malta, Lucas

WEKO 38126

en Malta, Lucas

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Miyajima, Chiyomi

× Miyajima, Chiyomi

WEKO 38127

en Miyajima, Chiyomi

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Takeda, Kazunori

× Takeda, Kazunori

WEKO 38128

en Takeda, Kazunori

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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
権利情報 ©2009 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
言語 en
キーワード
主題Scheme Other
主題 Driver behavior
キーワード
主題Scheme Other
主題 human factor
キーワード
主題Scheme Other
主題 multimediadatabases
キーワード
主題Scheme Other
主題 safety systems
抄録
内容記述タイプ Abstract
内容記述 Although, in recent years, significant developments have been made in road safety, traffic statistics indicate that we still need significant improvements in the field. Since traffic accidents usually reflect human factors, in this paper, we focus on clarifying the understanding of driver behaviors under hazardous scenarios. Brake pedal signals or driver speech, or both, are utilized to detect incidents from a real-world driving database of 373 drivers. Results are then analyzed to address the individuality in driver behaviors, the multimodality of driver reactions, and the detection of potentially dangerous locations. All of the existing 25 potentially hazardous scenes in the database are hand labeled and categorized. Based on the joint histograms of behavioral signals and their time derivatives, a detection feature is proposed and satisfactorily applied to the indication of anomalies in driving behavior. Seventeen scenes, where a reaction utilizing the brake pedal was observed, are detected with a true positive (TP) rate of 100% and a false positive (FP) rate of 4.1%. We demonstrate the relevance of considering behavior individuality. During 11 scenes, the drivers verbally reacted. Scenes that included high-energy words are adequately detected by the speech-based method, which achieved a TP rate of 54% for an FP rate of 6.4%. The integration of different behavior modalities satisfactorily boosts the detection of the most subjectively hazardous situations, which suggests the importance of considering multimodal reactions. Finally, a strong relationship is presented between locations where potentially hazardous situations occurred and areas of frequent strong braking.
言語 en
出版者
出版者 IEEE
言語 en
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/TITS.2009.2018321
ISSN
収録物識別子タイプ PISSN
収録物識別子 1524-9050
書誌情報 en : IEEE Transactions on Intelligent Transportation Systems

巻 10, 号 2, p. 201-210, 発行日 2009-06
フォーマット
値 application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/13901
識別子タイプ HDL
URI
識別子 http://dx.doi.org/10.1109/TITS.2009.2018321
識別子タイプ DOI
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