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车道偏离预警模糊控制算法研究 被引量:2

Research on Fuzzy Control Algorithm of Lane Departure Warning
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摘要 车道偏离预警系统多采用固定的横向偏移量或者预计跨越车道时间作为预警的阈值,在实际应用中不能很好的适应每个驾驶员个体。提出了一种车道偏离预警模型,该模型是对轮胎距车道线距离和预计跨越车道时间这两个车辆状态信息建立模糊控制规则,通过Simulink模糊控制模块进行仿真,实现对车道偏离危险等级的确定。驾驶员只需选择一个适合自己的车道偏离预警风险等级即可,此车道偏离预警模型能够减少报警中虚报和漏报。 Lane departure warning system mostly adopts the fixed value of lateral offset and the time of lane crossing as the warning threshold value,but in practice it’s not well fit for every driver.This paper proposes a lane departure model,which puts forward fuzzy control rules based on the vehicle information of the distance between the lane tyres and the lane crossing time.Through fuzzy simulation with Simulink,an appropriate risk level is determined.It is concluded that the proposed system can reduce the false negatives.
出处 《华东交通大学学报》 2013年第3期76-81,共6页 Journal of East China Jiaotong University
关键词 车道偏离预警 模糊控制 TLC算法 lane departure warning system fuzzy control TLC algorithm
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