Abstract
To improve the traditional analysis method of driver accident, the paper analyzes the cases of road accidents and survey data from the microscopic aspect. An accident causes model is formulated to describe the drivers' own mistake characteristics and its relation with the road traffic accidents. The weights of key influencing factors are determined by the improved AHP method and its influencing level is quantitatively analyzed. The improved AHP method reduces the impact of subjective factors on the analysis accuracy. Results show that drivers error rate of perception is approaching 50.2%; the error rate of judgment is 38.9%, and the operational error rate accounts for only 10.9%. The main factors cause traffic accidents are drivers' low abilities to perceive and judge risk and accident. The results provide the scientific basis for the drivers self-mistakes and accident prevention.
| Original language | English |
|---|---|
| Pages (from-to) | 101-105 |
| Number of pages | 5 |
| Journal | Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 2010 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Accident causation model
- Self-mistakes of driver
- Traffic accident
- Traffic engineering
- Weight of influence factors
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