Probabilistic Analysis Model For Rear-End and Right-Turn Collisions Based on State Transition of Driver Consciousness
For probabilistic analysis, we used the system reliability engineering method to model rear-end and right-turn collisions. This model integrates driver's evasive reaction time to dangerous events with fluctuating driving performance caused by state transition of driver consciousness. Results show that the probability of a driver being inattentive can be estimated quantitatively by analyzing the state transitions of consciousness. In dangerous situations, the frequency of rear-end collisions caused by average drivers is about 6.7×10-5/h, and the probability of right-turn collisions is about 3.7×10-6.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Yamada, Kiichi
- Suzuki, Keisuke
- Sato, Yoshinobu
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Conference:
- 12th World Congress on Intelligent Transport Systems
- Location: San Francisco California, United States
- Date: 2005-11-6 to 2005-11-10
- Publication Date: 2005
Language
- English
Media Info
- Media Type: Print
- Features: CD-ROM; Figures; References; Tables;
- Pagination: 11p
- Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems
Subject/Index Terms
- TRT Terms: Behavior; Crashes; Drivers; Highway safety; Probability theory; Reaction time; Rear end crashes; Reliability; Right turns; Systems engineering
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01015834
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 12 2006 12:25PM