车道偏离预警系统的Carsim/Simulink联合仿真研究  

Co-Simulation Study of Carsim/Simulink for Lane Departure Warning system

作　　者：邹俊逸 聂朝航 许小伟[1] 严运兵[1] ZOU Junyi;NIE Zhaohang;XU Xiaowei;YAN Yunbing(College of Automotive and Transportation Engineering,Wuhan University of Science and Technology,Hubei Wuhan 430081,China)

机构地区：[1]武汉科技大学汽车与交通工程学院,湖北武汉430081

出　　处：《机械设计与制造》2025年第4期169-172,177,共5页Machinery Design & Manufacture

基　　金：2021年度湖北省教育厅科学研究计划指导性项目(B2021008)—道路感知下重型车互联馈能悬架半主动控制研究。

摘　　要：考虑车辆行驶偏离过程侧向速度呈非线性变化,利用侧向速度信息将TLC算法和CCP算法融合。基于驾驶员当前状态提出一种联合预警算法,从而解决单一预警算法不同工况下准确度存在较大差异的问题,通过准确识别判断车辆当前状态以降低误警率。为验证算法有效性,基于Matlab搭建系统模型,并结合Carsim实现联合仿真。仿真结果显示,联合算法较CCP算法提前0.49s触发预警,同时减少了CCP算法存在的漏警情况,较TLC算法误预警率降低了46%,增强了预警系统的自适应性。Considering the non-linear change of the lateral speed during the vehicle’s deviation,the TLC algorithm and the CCP algorithm are merged using the lateral speed information.Based on the current state of the driver,a joint early warning al⁃gorithm is proposed to solve the problem of large differences in accuracy of a single early warning algorithm under different work⁃ing conditions.The current state of the vehicle can be accurately identified and judged to reduce the false alarm rate.In order to verify the effectiveness of the algorithm,a system model was built based on Matlab,and combined with Carsim to realize joint sim⁃ulation.The simulation results show that the joint algorithm triggers early warning 0.49s earlier than the CCP algorithm,and at the same time reduces the missed alarms of the CCP algorithm,reduces the false warning rate by 46%compared with the TLC al⁃gorithm,and enhances the adaptability of the early warning system.

关 键 词：车道偏离预警 决策算法 联合仿真 主动安全 驾驶员意图 

分 类 号：TH16[机械工程—机械制造及自动化]