3304 Driving Feature Extraction from High and Low Skilled drivers in Curve Sections Based on Machine Learning
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- Li Shuguang
- Insitute of Industrial Science, the University of Tokyo
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- Yamabe Shigeyuki
- Insitute of Industrial Science, the University of Tokyo
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- Sato Yoichi
- Insitute of Industrial Science, the University of Tokyo
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- Hirasawa Takayuki
- Insitute of Industrial Science, the University of Tokyo
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- Suda Yoshihiro
- Insitute of Industrial Science, the University of Tokyo
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- Chandrasiri Naiwala P.
- Toyota Info Technology Center Co. LTD
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- Nawa Kazunari
- Toyota Info Technology Center Co. LTD
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- Matsumura Takeshi
- Toyota Motor Corporation
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- Taguchi Koji
- Toyota Motor Corporation
Bibliographic Information
- Other Title
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- 3304 機械学習手法を用いたカーブ走行時の運転熟練/未熟練の特徴差抽出に関する研究(OS6-3 行動特性・運転技量,OS6 ヒューマンファクタ,オーガナイズド・セッション(OS))
Abstract
In order to improve drivers' driving skill, this paper proposes a statistical method to extract the operation characteristics between high-skilled and low-skilled drivers from obtained data at driving simulator experiments in curve sections. A driving skill determining model is built using the extracted features so that the driving skills of an unknown run can be classified automatically. And based on the extracted result, we supplied advices to low-skilled drivers in experiments. The results are also descripting in the paper.
Journal
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- The Proceedings of the Transportation and Logistics Conference
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The Proceedings of the Transportation and Logistics Conference 2012.21 (0), 225-228, 2012
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390282680880101120
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- NII Article ID
- 110009952945
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- ISSN
- 24243175
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed