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A method for predicting crash configurations using counterfactual simulations and real-world data.
Alexandros Leledakis1, Magdalena Lindman2, Jonas Östh1
1Chalmers University of Technology, SE-412 96, Gothenburg, Sweden; Volvo Car Corporation, SE-405 31, Gothenburg, Sweden.
Accident; Analysis and Prevention
|December 20, 2020
Summary
This study predicts crash configurations for future traffic safety systems. It identifies key crash types remaining after crash avoidance technologies are implemented, aiding in the development of better injury mitigation.
Area of Science:
- Road safety engineering
- Vehicle dynamics
- Accidentology
Background:
- Traffic safety focuses on crash avoidance and injury mitigation.
- Predicting remaining crash configurations is crucial for developing effective occupant and vulnerable road user (VRU) protection systems.
- Existing methods need enhancement to accurately describe post-avoidance crash scenarios.
Purpose of the Study:
- To develop a predictive method for identifying crash configurations after implementing crash-avoiding technologies.
- To facilitate the assessment and development of future traffic safety systems.
- To define a novel crash configuration for improved in-crash phase analysis.
Main Methods:
- Utilized real-world accident data for baseline analysis.
- Performed counterfactual model-in-the-loop (MIL) pre-crash simulations.
- Employed clustering techniques to group remaining crash configurations.
Main Results:
- Identified 5 and 52 representative crash configurations for Same-Direction rear-end frontal (SD-ref) and Straight Crossing Path (SCP) conflicts, respectively.
- The method successfully predicted crash configurations not avoided by a conceptual Autonomous Emergency Braking (AEB) system.
- Demonstrated a feasible approach to predict relevant crash configurations for in-crash testing.
Conclusions:
- The developed method provides a predictive way to identify critical crash configurations.
- This facilitates targeted development and evaluation of injury prevention technologies.
- The novel crash configuration definition supports advanced in-crash analysis.
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