Risk Assessment of Roundabout Scenarios in Virtual Testing Based on an Improved Driving Safety Field.
Wentao Chen1, Aoxue Li2, Haobin Jiang1
1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|September 14, 2024
View abstract on PubMed
Summary
This study introduces an improved driving safety field model for autonomous vehicles, enhancing risk assessment in complex roundabout scenarios. The new model significantly boosts the detection of dangerous situations, improving overall vehicle safety.
Area of Science:
- Autonomous Driving
- Intelligent Transportation Systems
- Vehicle Dynamics
Background:
- Scenario-based testing is crucial for autonomous vehicles.
- Traditional risk indicators are inadequate for complex roundabout scenarios.
- Accurate risk quantification is needed for safe autonomous navigation.
Purpose of the Study:
- To develop an improved driving safety field model for quantifying risks in roundabout scenarios.
- To enhance the accuracy and efficiency of dangerous scenario detection in autonomous driving.
- To provide guidance for virtual testing and improve autonomous vehicle safety.
Main Methods:
- Improved driving safety field model incorporating vehicle dynamics during merging/diverging.
- Model parameter calibration using the social force model with the rounD dataset.
- DENCLUE-like clustering for collision system extraction and risk degree calculation.
Main Results:
- The proposed model accurately quantifies driving risks in roundabout scenarios.
- Detection efficiency for dangerous scenarios increased by 175% compared to Time to Collision (TTC).
- Temporal and spatial risk analysis provides valuable insights for virtual testing.
Conclusions:
- The improved driving safety field model effectively addresses limitations of traditional methods in roundabouts.
- The method enhances the generation of critical scenarios for robust autonomous vehicle testing.
- This contributes to advancing the safety and reliability of autonomous driving systems.
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