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Meta-analysis of crashes on two-lane rural highways using Bayesian Networks and Random Forest.
Randa Oqab Mujalli1, Laura Garach2, Alejandro Ruiz-Padillo3
1Department of Civil Engineering, Faculty of Engineering, The Hashemite University, Zarqa, Jordan.
Traffic Injury Prevention
|April 4, 2025
Summary
Driver age over 45, nighttime, and distractions significantly increase fatal traffic crash risk on rural highways. Implementing local safety criteria can reduce injury severity and improve road safety.
Area of Science:
- Road Safety Engineering
- Traffic Accident Analysis
- Meta-Learning Methodologies
Background:
- Traffic crashes on two-lane rural highways pose a significant risk to public safety.
- Identifying key factors contributing to crash injury severity is crucial for developing effective safety interventions.
- Existing research often analyzes factors individually, potentially missing complex interactions.
Purpose of the Study:
- To identify and rank variables influencing traffic crash injury severity on two-lane rural highways.
- To investigate specific factor categories associated with a higher risk of fatal outcomes.
- To evaluate the effectiveness of a hybrid meta-learning approach for accident analysis.
Main Methods:
- Utilized a dataset of 1,291 crashes from Granada, Spain (2016-2019).
- Employed a novel hybrid meta-learning methodology combining Bayesian Networks (BNs) and Random Forest (RF).
- BNs identified key influencing factors and their critical categories; RF ranked factor importance.
Main Results:
- Significant predictors of fatal crash risk include driver age, crash type, time of day, main crash cause, and lane width.
- Higher fatality risk is associated with drivers over 45, rollover crashes, nighttime conditions, driver distractions, and narrow lane widths (<3.25m).
- The hybrid BN-RF approach effectively identified and ranked critical factors influencing crash severity.
Conclusions:
- The hybrid meta-learning methodology proved effective in pinpointing significant factors contributing to severe crash outcomes.
- Development and implementation of local criteria are recommended to enhance traffic safety on rural highways.
- Reducing crash severity and improving overall traffic safety requires targeted interventions based on identified risk factors.
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