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Safety-oriented automated vehicle longitudinal control considering both stability and damping behavior
Yulu Dai1, Chen Wang1, Yuanchang Xie2
1School of Transportation, Southeast University, China.
Accident; Analysis and Prevention
|February 4, 2024
Summary
Vehicle damping characteristics are crucial for automated vehicle (AV) safety. This study shows that optimal damping ratios improve safety and stability in AV longitudinal control systems, offering key design insights.
Area of Science:
- Automotive Engineering
- Control Systems
- Traffic Safety
Background:
- Automated Vehicles (AVs) offer potential benefits in traffic capacity and safety.
- Existing AV longitudinal control research often overlooks vehicle damping characteristics, focusing on stability or safety-stability trade-offs.
Purpose of the Study:
- To highlight the importance of vehicle damping in AV longitudinal control.
- To propose a safety-oriented AV longitudinal control strategy considering damping behavior.
- To provide recommendations for control parameters in AV systems.
Main Methods:
- Integrated an Adaptive Cruise Control (ACC) model with damping behavior analysis.
- Conducted numerical simulations to assess the relationship between mobility and safety.
- Evaluated ACC control parameters using surrogate safety measures like DRAC, CPI, and TIT.
Main Results:
- Underdamped AV states (damping ratio < 1) are less safe than critically damped (ratio = 1) or overdamped states (ratio > 1).
- An ACC damping ratio between 1 and 1.2 enhances safety for a given car-following time lag.
- Increased AV car-following time lag improves both safety and stability.
Conclusions:
- Explicitly considering damping behavior is vital for designing safe AV longitudinal control.
- Optimal damping ratios and car-following time lags contribute to enhanced AV safety and stability.
- Findings offer critical insights for developing robust AV control algorithms.
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