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<p>The automatic emergency braking (AEB) system is designed to prevent collisions between vehicles and pedestrians. Aggressive and conservative drivers exhibit varying levels of acceptance regarding different braking decelerations. This paper focuses on multi-objective optimization of the AEB control strategy by selecting pedestrian safety, occupant comfort, and rear vehicle safety as optimization objectives while considering diverse driving styles. The collision risk assessment model is utilized to detect danger in real time and determine whether to activate the AEB system. Single-factor analysis evaluates the effects of braking decelerations on optimization objectives. When the initial vehicle speed is 50&#xa0;km/h, the optimized strategies for aggressive and conservative driving conditions result in improvements of 27.50% and 20.00%, respectively, for pedestrian safety; 10.52% and 33.66%, respectively, for occupant comfort; and 8.56% and 16.36%, respectively, for rear vehicle safety compared with the original strategy. Under aggressive driving condition, the optimization effects for total braking time and total stopping distance are 5.24% and 4.73%, respectively; under conservative driving condition, these values are 2.42% and 3.07%, respectively. The optimized strategies are validated through hardware-in-loop tests. As braking decelerations increase, pedestrian safety improves, but rear vehicle safety declines.</p>

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Multi-objective Optimization of AEB Control Strategy Based on Various Driving Styles

  • 期刊论文

  • 发表日期：

    2025年7月30日

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  • Liang Hong,
  • Zhihao Chen,
  • Zijian Yang

摘要

The automatic emergency braking (AEB) system is designed to prevent collisions between vehicles and pedestrians. Aggressive and conservative drivers exhibit varying levels of acceptance regarding different braking decelerations. This paper focuses on multi-objective optimization of the AEB control strategy by selecting pedestrian safety, occupant comfort, and rear vehicle safety as optimization objectives while considering diverse driving styles. The collision risk assessment model is utilized to detect danger in real time and determine whether to activate the AEB system. Single-factor analysis evaluates the effects of braking decelerations on optimization objectives. When the initial vehicle speed is 50 km/h, the optimized strategies for aggressive and conservative driving conditions result in improvements of 27.50% and 20.00%, respectively, for pedestrian safety; 10.52% and 33.66%, respectively, for occupant comfort; and 8.56% and 16.36%, respectively, for rear vehicle safety compared with the original strategy. Under aggressive driving condition, the optimization effects for total braking time and total stopping distance are 5.24% and 4.73%, respectively; under conservative driving condition, these values are 2.42% and 3.07%, respectively. The optimized strategies are validated through hardware-in-loop tests. As braking decelerations increase, pedestrian safety improves, but rear vehicle safety declines.