巡航控制
适应性
避碰
驾驶模拟器
控制(管理)
传感器融合
计算机科学
自适应控制
融合
模拟
工程类
碰撞
人工智能
计算机安全
生态学
语言学
哲学
生物
作者
Jing Huang,Yimin Chen,Xiaoyan Peng,Lin Hu,Dongpu Cao
标识
DOI:10.1109/jas.2020.1003261
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 driver-adaptive 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.
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