| Project/Area Number |
13650277
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | Kyoto University |
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Principal Investigator |
KUMAMOTO Hiromitsu Graduate school of Informatics, Professor, 情報学研究科, 教授 (10109019)
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| Co-Investigator(Kenkyū-buntansha) |
HIRAOKA Toshihiro Graduate school of Informatics, Supporting assistant, 情報学研究科, 助手 (30311749)
NISHIHARA Osamu Graduate school of Informatics, Associate professor, 情報学研究科, 助教授 (00218182)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 2002: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2001: ¥2,500,000 (Direct Cost: ¥2,500,000)
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| Keywords | Traffic Accident / Smart way / Safety Assessment / Safety System / Human Error / ITS / Risk Homeostasis / Event Tree / 許容リスク |
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| Research Abstract |
This study focused attention on the risk of seven traffic accidents targeted for the smart way concerned with Intelligent Transport Systems and proposed a methodology to quantify the accident risk after the introduction of the smart-way, and then clarified reduction effects of accidents numerically.
Representative example of the accidents was selected to describe a model which is based on a supposition that people has maximum standard of the acceptable risk. Three recognition results about an unsafe relation with a collision vehicle, occurrence probability of the unsafe relation and an unsafe action probability are defined. By formulating their relation, a relation between the recognition, the judgment and the action by a driver is shown quantitatively. Then, supporting evidence for this model is given by showing that a ratio derived by this model theoretically between the recognition errors and judgment errors in accidents was equivalent to existing accident data.
This methodology was applied to the other accidents. A safety device, which gives a warning of a dangerous vehicle, was assumed and a reduction effect of accidents was evaluated quantitatively. Considering a failure lacking a warning by a safety device, necessary level of lacking a warning to reduce accidents was derived. It turns out that the extremely highly precise device, near to realization inability for engineering, is demanded from the driver who depends heavily on a device and relaxed reliability device is demanded from the driver who is independent on a device. And also a result was shown that a safety device might be able to tell the driver who depends completely on a device about danger but should not guarantee security.
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