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Wrong-way driving crashes: A multiple correspondence approach to identify contributing factors.
Mohammad Jalayer1, Mahdi Pour-Rouholamin2, Huaguo Zhou3
1a Center for Advanced Infrastructure and Transportation (CAIT), Rutgers , The State University of New Jersey , Piscataway , New Jersey.
Traffic Injury Prevention
|June 29, 2017
Summary
Wrong-way driving (WWD) crashes are more fatal than other crashes. This study identified key factors like driver age, condition, and environment contributing to WWD events, enabling targeted safety improvements.
Area of Science:
- Transportation Safety
- Traffic Accident Analysis
- Roadway Engineering
Background:
- Wrong-way driving (WWD) crashes exhibit a higher fatality rate (1.34 fatalities per fatal crash) compared to other non-WWD fatal crashes (1.10).
- The critical nature and inherent dangers of WWD necessitate comprehensive investigation to understand contributing factors and mitigate risks.
Purpose of the Study:
- To characterize the defining attributes of WWD crashes.
- To identify and verify the factors associated with the occurrence of WWD events on freeways.
Main Methods:
- Analysis of 15 years of crash data from Illinois and Alabama, comprising 398 WWD crashes.
- Application of Multiple Correspondence Analysis (MCA) to address the challenges of small sample sizes and identify significant contributing factors in WWD crashes.
Main Results:
- Driver age, driver condition, roadway surface conditions, and lighting conditions were identified as significant contributors to WWD crashes.
- The study successfully characterized factors influencing WWD crash probability, paving the way for targeted safety countermeasures.
Conclusions:
- MCA offers an advantage over other methods by identifying associations between multiple contributing factors.
- Findings provide State Departments of Transportation (DOTs) with insights to implement safety countermeasures offering broader safety benefits.
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