Presentation 2003/10/21
A study on Probabilistic Driver Model considering State Transition of Driver's Attention
Kiichi YAMADA, Yoshinobu SATO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Although various factors that may cause traffic accidents are considered, one factor is that paying attention to outside the driving, a child on the passenger seat, etc. temporally declines the driving performance of the driver below the performance that is demanded by the emergency traffic condition such as when the preceding vehicle begins sudden deceleration, etc. In the paper the mechanism of driver distraction is considered, and then a probabilistic driver model that causes rear-end collisions is studied by introducing the system reliability theory. The result shows that the frequency when an average driver might causes a rear-end collision is about one time per 30years.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cerebrum / Consciousness / Working memory / Safety / Rear end collision / Driving performance / Probabilistic driver model
Paper # SSS2003-23
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Committee SSS
Conference Date 2003/10/21(1days)
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Registration To Safety (SSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on Probabilistic Driver Model considering State Transition of Driver's Attention
Sub Title (in English)
Keyword(1) Cerebrum
Keyword(2) Consciousness
Keyword(3) Working memory
Keyword(4) Safety
Keyword(5) Rear end collision
Keyword(6) Driving performance
Keyword(7) Probabilistic driver model
1st Author's Name Kiichi YAMADA
1st Author's Affiliation Japan Automobile Research Institute()
2nd Author's Name Yoshinobu SATO
2nd Author's Affiliation Tokyo University of Mercantile Marine
Date 2003/10/21
Paper # SSS2003-23
Volume (vol) vol.103
Number (no) 395
Page pp.pp.-
#Pages 4
Date of Issue