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Associating crash avoidance maneuvers with driver attributes and accident characteristics: a mixed logit model
Sigal Kaplan1, Carlo Giacomo Prato
1Technical University of Denmark, Department of Transport, Lyngby, Denmark.
Traffic Injury Prevention
|May 22, 2012
Summary
Driver attributes and conditions significantly impact crash avoidance maneuvers. Fatigue, distraction, and age reduce maneuver engagement, while difficult roads increase it, highlighting areas for safety improvements.
Area of Science:
- Traffic Safety Research
- Human Factors in Driving
- Automotive Engineering
Background:
- Proactive road users are crucial for sustainable safety systems.
- Effective corrective maneuvers are vital for advanced driver assistance systems (ADAS).
- Understanding driver behavior in crash avoidance is essential for road safety.
Purpose of the Study:
- To analyze driver propensity for crash avoidance maneuvers.
- To identify factors influencing maneuver selection, including driver attributes, critical events, and environmental conditions.
- To inform the development of safer driving strategies and technologies.
Main Methods:
- Utilized a mixed logit model to analyze maneuver selection (no avoidance, braking, steering, etc.).
- Employed data from the General Estimates System (GES) crash database (2009).
- Accounted for correlations across maneuvers and heteroscedasticity.
Main Results:
- Critical event nature strongly influences maneuver choice.
- Women and elderly drivers show lower propensity for avoidance maneuvers.
- Drowsiness, fatigue, visual obstruction, and artificial illumination negatively impact maneuver engagement.
- Difficult road conditions increase the likelihood of performing avoidance maneuvers.
Conclusions:
- Public awareness campaigns are needed for senior drivers and to highlight risks of fatigue/distraction.
- Driver education on hazard perception and forgiving infrastructure design are recommended.
- Rethinking in-vehicle collision warning systems is suggested for improved effectiveness.
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