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- W283947810 abstract "This paper reports on a questionnaire study that collected examples of traffic incidents which occur during ordinary driving, and analyzed the driver behavior and driver’s mental and physical states immediately before encountering the traffic incident. The study was undertaken to provide information for reducing situations that may lead to traffic accidents, as an effective means of helping to reduce the number of traffic accidents. Based on the finding, the authors clarified the driver characteristics which tended to make traffic incidents more likely. These include driver distraction to due a conversation or drowsiness, haste, no safety confirmation, glancing away from the road, and failure to predict hazards. The authors also conducted a comparison with the regression analysis results from previous research concerning subjective daytime sleepiness, one of factors that is likely to lead to serious accidents. They conclude by proposing a direction for further research concerning next generation driving support systems that detect information on driver’s physiological signals in order to help prevent traffic accidents." @default.
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- W283947810 date "2008-01-01" @default.
- W283947810 modified "2023-09-23" @default.
- W283947810 title "Analysis of Driver Behavior Based on Traffic Incident Experiences" @default.
- W283947810 hasPublicationYear "2008" @default.
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