A Study on Automatic Emergency Braking Control Algorithm Based on Professional Drivers' Braking Behavior

被引：2

作者：

Lai F. ^{[1
,2
]}

Huang C. ^{[3
]}

机构：

[1] Chongqing University of Technology, China

[2] State Key Laboratory of Vehicle Nvh and Safety Technology, China

[3] Chongqing Technology and Business Institute, China

来源：

SAE International Journal of Connected and Automated Vehicles | 2022年 / 6卷 / 02期

关键词：

Automatic emergency braking (AEB); Professional drivers fitting (PDF); Safety distance (SD); Time to collision (TTC);

D O I：

10.4271/12-06-02-0009

中图分类号：

学科分类号：

摘要：

An automatic emergency braking (AEB) adaptive control algorithm based on the emergency braking behavior of professional drivers fitting (PDF) model is proposed, which can simultaneously take into account safety and ride comfort on different friction roads. Three typical AEB control algorithms are selected for comparative analysis, namely, AEB control algorithms based on the safety distance (SD) model, time-To-collision (TTC) model, and PDF model, respectively. The simulation results of the European New Car Assessment Programme (Euro-NCAP) test scenarios show that the AEB control algorithm based on the PDF model can ensure both safety and ride comfort. In order to overcome the defect that the original AEB control algorithm based on the PDF model does not consider the variation of road friction, the corresponding optimization and improvement are carried out. The optimized AEB control algorithm based on the PDF model can adapt to different friction roads; therefore, the vehicle safety has been improved. The proposed optimization algorithm has also been validated through the co-simulation of MATLAB/Simulink and Prescan. ©

引用

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