摘要
为减少车辆追尾事故的发生,利用驾驶模拟器采集驾驶员数据,分析不同车速下的预计碰撞时间阈值。当车辆到达设定的两倍预计碰撞时间阈值时给予警示,若驾驶员始终不介入,到达预计碰撞时间阈值的1.5倍后启动制动提醒,到达预计碰撞时间阈值后会根据模糊控制规则输出不同的期望制动减速度。与传统自动紧急制动控制策略做对比,运用MATLAB/Simulink搭建控制策略,与CarSim进行联合仿真,最后使用快速控制原型测试平台进行试验验证,结合仿真实验结果分析得出,文章中提出的自动紧急制动控制策略在制动过程中的制动减速度及制动完成后的车距更小,驾驶员的舒适性更好。
In order to reduce the occurrence of vehicle rear-end accidents, the driving simulator is used to collect the driver data and analyze the predicted collision time thresholds at different speeds.When the vehicle reaches the set double expected collision time threshold, it is warned that if the driver does not intervene all the time, the braking reminder is started after reaching the expected collision time threshold about 1.5 times, and different expected braking decelerations are output according to fuzzy control rules after reaching the expected collision time threshold. Compared with the traditional autonomous emergency braking control strategy, the control strategy is built by MATLAB/Simulink, and the co-simulation is carried out with CarSim. Finally, the rapid control prototype test platform is used for experimental verification.Combined with the analysis of the simulation results, it is concluded that the autonomous emergency braking control strategy proposed in this paper has smaller braking deceleration and vehicle spacing after braking, and better driver comfort.
作者
刘云鹏
关志伟
杜峰
陈强
张绅
王铎
LIU Yunpeng;GUAN Zhiwei;DU Feng;CHEN Qiang;ZHANG Shen;WANG Duo(School of Automobile and Transportation,Tianjin University of Technology and Education,Tianjin 300222,China;School of Automobile and Rail Transportation,Tianjin Sino-German University of Applied Sciences,Tianjin 300350,China)
出处
《汽车实用技术》
2022年第19期63-70,共8页
Automobile Applied Technology
基金
天津市人工智能科技重大专项(17ZXRGGX00070)
天津市智能制造专项(ZZJ0011901)
天津市研究生科研创新项目智能网联汽车专项(2021YJSO2S36)。
关键词
自动紧急制动
驾驶模拟器
模糊控制
制动减速度
快速控制原型
Autonomous emergency braking
Driving simulator
Fuzzy control
Braking deceleration
Rapid control prototype