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

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Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/12-06-02-0009
Pages
16
Citation
Lai, F., and Huang, C., "A Study on Automatic Emergency Braking Control Algorithm Based on Professional Drivers’ Braking Behavior," Connected and Automated Vehicles 6(2):139-154, 2023, https://doi.org/10.4271/12-06-02-0009.
Additional Details
Publisher
Published
Jul 7, 2022
Product Code
12-06-02-0009
Content Type
Journal Article
Language
English