Research and simulation analysis of automatic emergency braking strategy based on fuzzy control

The automatic emergency braking system (AEB), as an important component of vehicle safety technology, can automatically activate the brakes when potential collision risks are detected, thereby reducing the likelihood or severity of accidents. This study proposes an automatic emergency braking control algorithm based on fuzzy control, and uses PreScan and MATLAB/Simulink for joint simulation. The results show that obstacle avoidance can be achieved well in all three operating conditions, and the braking deceleration rate remains below -5m/s<sup>3</sup>, far below the maximum acceleration rate limit of -10m/s<sup>3</sup> that ensures driving comfort. The automatic emergency braking strategy based on fuzzy control proposed in this study can better improve comfort while ensuring safety.

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Published
2025-06-30
DOI
https://doi.org/10.1117/12.3066777
Primary Topic
Industrial Technology and Control Systems
Type
article
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article

Research and simulation analysis of automatic emergency braking strategy based on fuzzy control

Rui Wang, Hao-Bin ZHAO
Industrial Technology and Control Systems
article

Research and simulation analysis of automatic emergency braking strategy based on fuzzy control

Rui Wang, Hao-Bin ZHAO
article en

Abstract

The automatic emergency braking system (AEB), as an important component of vehicle safety technology, can automatically activate the brakes when potential collision risks are detected, thereby reducing the likelihood or severity of accidents. This study proposes an automatic emergency braking control algorithm based on fuzzy control, and uses PreScan and MATLAB/Simulink for joint simulation. The results show that obstacle avoidance can be achieved well in all three operating conditions, and the braking deceleration rate remains below -5m/s<sup>3</sup>, far below the maximum acceleration rate limit of -10m/s<sup>3</sup> that ensures driving comfort. The automatic emergency braking strategy based on fuzzy control proposed in this study can better improve comfort while ensuring safety.

Chengdu Technological University, Qingdao University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Industrial Technology and Control Systems
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