Hazard modeling for next-generation multi-vehicle accidents and development of biofeedback console
| Project/Area Number |
18560517
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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 |
交通工学・国土計画
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
YAI Tetsuo Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Professor (10182289)
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| Co-Investigator(Kenkyū-buntansha) |
FUKUDA Daisuke Tokyo Institute of Technology, Graduate School of Engineering, Associate Professor (70334539)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥3,590,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥390,000)
Fiscal Year 2007: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2006: ¥1,900,000 (Direct Cost: ¥1,900,000)
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| Keywords | Traffic Engineering / Traffic Accidents / Next-Generation Transportation System / Virtual Reality / lTS |
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| Research Abstract |
Underground urban expressways which have great potential to settle many existing transportation-related problems may pose unknown risks regarding traffic safety. Vehicle accident in tunnel can more seriously damage road infrastructure and human life than outside roads because of its closed space especially in deep underground road. Therefore, it is important to consider the safety countermeasure for preventing not only a single-vehicle accident but also multi-vehicle accidents which are more damaging. We conducted a unique driving experiment with virtual reality (VR) where the multiple subjects can drive simultaneously in the same roadway space. With this experiment, we collected the microscopic driving data of multi-vehicle accidents that originated in a single-vehicle accident. The results of data analysis reveal some important factors causing the occurrence of multi-vehicle accidents.
The vital reaction (= arousal level) feedback experiments were carried out in the underground urban expressway using the driving simulator to study the feedback method in which the reduction arousal level was informed of drivers surely. The reduction of SPL would be suppressed by informed it before a vehicle driver felt sleepy with the bio-feedback system. And after he felt sleepy, the information of reduction of SPL doesn't influence the untying the sleepiness.
This shows the bio-feedback system is available to safety improvement of vehicle drivers.
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Report
(3 results)
Research Products
(23 results)
