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Fatal intersection crashes in Norway: patterns in contributing factors and data collection challenges
Mikael Ljung Aust1, Helen Fagerlind, Fridulv Sagberg
1Vehicle Safety Division, Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden. mikael.ljung.aust@chalmers.se
Accident; Analysis and Prevention
|January 25, 2012
Summary
Fatal intersection crashes reveal turning drivers face perception issues, while straight-driving drivers expect yielding. Traditional factors like speed and alcohol were present, but complex interactions often led to accidents. Investigator bias may skew crash data.
Area of Science:
- Traffic Safety Research
- Accident Causation Analysis
- Human Factors in Driving
Background:
- Intersection crashes are a significant cause of traffic fatalities.
- Understanding causation patterns is crucial for developing effective safety countermeasures.
- Previous studies highlight factors like speed, alcohol, and training, but nuanced interactions require further investigation.
Purpose of the Study:
- To identify causation patterns in fatal motor vehicle intersection crashes in Norway (2005-2007).
- To assess the adequacy of data collection by Norwegian investigation teams for causation analysis.
- To analyze contributing factors for drivers performing turning maneuvers versus those going straight.
Main Methods:
- Analysis of 28 fatal intersection crashes from Norwegian data (2005-2007).
- Application of the Driving Reliability and Error Analysis Method (DREAM) to code contributing factors.
- Aggregation of causation charts based on conflict types and driver maneuvers (straight vs. turning).
Main Results:
- Turning drivers experienced perception difficulties and unexpected vehicle behavior amidst complex traffic situations.
- Straight-driving drivers reported fewer perception issues but often failed to react to turning vehicles due to an expectation of yielding.
- Common factors (speed, alcohol, training) contributed to 12 of 28 crashes, often in combination with other less obvious factors.
- Asymmetry in reporting obstructions to view suggests potential investigator bias towards the legally liable driver.
Conclusions:
- Driver perception and expectation mismatches are key in intersection crash causation.
- Investigator bias in data collection may lead to incomplete or skewed analysis of contributing factors.
- Addressing investigator approach is necessary to ensure unbiased data for effective countermeasure development.
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