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Severity analysis of crashes on express lane facilities using support vector machine model trained by firefly
Angela E Kitali1, Seyedmirsajad Mokhtarimousavi1, Cecilia Kadeha1
1Department of Civil & Environmental Engineering, Florida International University, Miami, Florida.
Traffic Injury Prevention
|November 18, 2020
Summary
Concrete barriers and heavy traffic increase injury severity on express lanes (ELs), while wider shoulders reduce it. These findings help improve safety on limited-space freeway expansions.
Area of Science:
- Transportation Engineering
- Traffic Safety Research
- Roadway Design Analysis
Background:
- Express lanes (ELs) enhance freeway capacity without significant footprint expansion.
- Existing research on ELs primarily focuses on crash causation, with less emphasis on injury severity factors.
Purpose of the Study:
- To investigate and identify key factors influencing the injury severity of crashes occurring on express lane facilities.
- To provide data-driven insights for enhancing safety strategies on ELs.
Main Methods:
- Utilized a Support Vector Machine (SVM) model integrated with the Firefly Algorithm for factor identification.
- Analyzed three years (2012-2014) of crash data from 61 miles of ELs across four California facilities.
Main Results:
- Factors increasing injury/fatality probability include concrete barriers, high traffic volume, challenging terrain, weekend timing, adverse road conditions, and nighttime.
- Wider right and left shoulder widths were found to decrease the likelihood of severe injuries or fatalities.
Conclusions:
- The study highlights the impact of geometric design and traffic conditions on express lane crash severity.
- Findings can inform transportation agencies in developing targeted interventions to mitigate severe outcomes on ELs.
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