Study on the driving style adaptive vehicle longitudinal control strategy

被引：35

作者：

Huang, Jing ^{[1
]}

Chen, Yimin ^{[2
]}

Peng, Xiaoyan ^{[3
]}

Hu, Lin ^{[4
,5
]}

Cao, Dongpu ^{[2
]}

机构：

[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China

[2] Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada

[3] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Peoples R China

[4] Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Peoples R China

[5] Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techn, Changsha 410114, Peoples R China

来源：

IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2020年 / 7卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Adaptive cruise control; collision avoidance; driving simulator experiment; driving style; fusion control; MODEL-PREDICTIVE CONTROL; CRUISE CONTROL; DESIGN; RECOGNITION; INVENTORY; FRAMEWORK; SYSTEM; SAFETY;

D O I：

10.1109/JAS.2020.1003261

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a fusion control strategy of adaptive cruise control (ACC) and collision avoidance (CA), which takes into account a driver's behavioral style. First, a questionnaire survey was performed to identify driver type, and the corresponding driving behavioral data were collected via driving simulator experiments, which served as the template data for the online identification of driver type. Then, the driveradaptive ACC/CA fusion control strategy was designed, and its effect was verified by virtual experiments. The results indicate that the proposed control strategy could achieve the fusion control of ACC and CA successfully and improve driver adaptability and comfort.

引用

页码：1107 / 1115

页数：9

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