Visual Behavior Analysis of Elderly Drivers and Effectiveness of Cognitive Assistance System
The reduction of accidents caused by elderly drivers is a priority subject to achieve safe traffic. Specifically, car to bike collision at crossing with bad visibility is one of common accident scenario. Cognitive decline is implied as a cause, but the mechanism is not elucidated yet. Therefore, this study aims on the visual behavior analysis of elderly drivers at intersections through driving simulator experiment. Additionally, several driving assistant systems are installed and improvement of visual cognition level is also evaluated. Consequently, distinctive visual features of elderly drivers are inferred; recognition time of elderly drivers are slower than experienced drivers and the time is improved with cognitive assistance. Further, suitable features of driving assistance for elderly drivers are demonstrated.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
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Authors:
- Nakamura, Hiroki
- Abe, Genya
- Ogawa, Norifumi
- Publication Date: 2022-3
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 424-429
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Serial:
- Transactions of Society of Automotive Engineers of Japan
- Volume: 53
- Issue Number: 2
- Publisher: Society of Automotive Engineers of Japan
- ISSN: 0287-8321
- EISSN: 1883-0811
- Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Aged drivers; Bicycle crashes; Cognition; Driver support systems; Reaction time; Visual perception
- Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; Society;
Filing Info
- Accession Number: 01841159
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Mar 30 2022 3:13PM