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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

Prediction model of driving behavior based on traffic conditions and driver types

http://hdl.handle.net/2237/13899
http://hdl.handle.net/2237/13899
caa524d8-f242-48fb-8a6d-ddd878a170c0
名前 / ファイル ライセンス アクション
Amata_ITSC2009-10.pdf Amata_ITSC2009-10.pdf (564.9 kB)
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 Prediction model of driving behavior based on traffic conditions and driver types
言語 en
著者 Amata, Hideomi

× Amata, Hideomi

WEKO 38117

en Amata, Hideomi

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Miyajima, Chiyomi

× Miyajima, Chiyomi

WEKO 38118

en Miyajima, Chiyomi

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Nishino, Takanori

× Nishino, Takanori

WEKO 38119

en Nishino, Takanori

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Kitaoka, Norihide

× Kitaoka, Norihide

WEKO 38120

en Kitaoka, Norihide

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Takeda, Kazuya

× Takeda, Kazuya

WEKO 38121

en Takeda, Kazuya

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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
抄録
内容記述タイプ Abstract
内容記述 We investigate the driving behavior differences at unsignalized intersections between expert and nonexpert drivers. By analyzing real-world driving data, significant differences were seen in pedal operations but not in steering operations. Easing accelerator behaviors before entering unsignalized intersections were especially seen more often in expert driving. We propose two prediction models for driving behaviors in terms of traffic conditions and driver types: one is based on multiple linear regression analysis, which predicts whether the driver will steer, ease up on the accelerator, or brake. The second predicts driver decelerating intentions using a Bayesian network. The proposed models could predict the three driving actions with over 70% accuracy, and about 50% of decelerating intentions were predicted before entering unsignalized intersections.
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
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 978-1-4244-5519-5
書誌情報 en : 12th International IEEE Conference on Intelligent Transportation Systems (ITSC '09)

p. 1-6, 発行日 2009-10-04
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/2237/13899
識別子タイプ HDL
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