Drowsiness Effect to Drivers Behavior in Automated Driving
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20219024
- Paper/Info type
- Other International Conferences
- Pages
- 1-3(Total 3 p)
- Date of publication
- Sep 2021
- Publisher
- JSAE
- Language
- English
Detailed Information
Author(E) | 1) Akihiro Abe, 2) Toshio Ito |
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Affiliation(E) | 1) Shibaura Institute of Technology, 2) Shibaura Institute of Technology |
Abstract(E) | At Levels Two and Three in automated driving systems, human drivers have to pay their attention to driving environment in case of emergency. However, previous research reported that driver’s drowsiness is caused by automated driving. It is important to understand the driver characteristics in automated driving environment. This study conducted automated driving experiment for eight participants, and analysed from alpha-wave in EEG and elapsed time in reaction behavior phases at take-over situation. As a result, drowsy drivers have higher content rate of alpha-wave and tend to delay in recognize hazard event. |