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An analysis of common patterns in aggregated causation charts from intersection crashes
1Division of Vehicle Safety, Department of Applied Mechanics, Chalmers University of Technology, 412 96 Gothenburg, Sweden. jesper.sandin@chalmers.se
Accident; Analysis and Prevention
|April 28, 2009
Summary
Aggregating causation charts revealed common patterns in intersection crashes, particularly driver distraction and unexpected vehicle presence. This method shows promise for identifying crash causes if charts are consistent.
Area of Science:
- Traffic Safety
- Human Factors in Driving
Background:
- Intersection crashes represent a significant traffic safety issue.
- Understanding crash causation is crucial for developing effective active safety measures.
Purpose of the Study:
- To identify common patterns of interlinked factors contributing to urban intersection crashes.
- To evaluate the potential of aggregating causation charts for crash analysis.
Main Methods:
- Utilized the Driving Reliability and Error Analysis Method (DREAM) version 2.1 to create causation charts for 52 drivers in 26 intersection crashes.
- Aggregated causation charts across six defined risk situations (four for drivers without right-of-way, two for drivers with right-of-way).
Main Results:
- Identified common patterns in two risk situations: drivers failing to see other vehicles due to distractions or sight obstructions, and drivers with right-of-way not anticipating cross-traffic.
- Observed a lack of clear patterns in three risk situations for drivers without right-of-way, attributed to small sample sizes and unique circumstances.
- Noted unwarranted variation in some aggregated charts, stemming from inconsistencies in chart compilation.
Conclusions:
- Aggregating causation charts is a potentially valuable method for understanding intersection crash dynamics.
- The effectiveness of this aggregation method is contingent upon the consistency and systematic application of the chart compilation process.
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