机械科学与技术2018，Vol.37Issue(7)：1082-1088,7.DOI:10.13433/j.cnki.1003-8728.2018.0711
改进Berkeley模型的汽车防碰撞预警算法
Improved Vehicle Anti-collision Warning Algorithm based on Berkeley Model
摘要
Abstract
In order to improve the accuracy of vehicle anti-collision warning algorithm and broaden the scope of the warning system,an improved security warning distance algorithm based on the Berkeley model is proposed.ZigBee wireless communication is used to collect the operating conditions of the vehicle.Chebyshev law of large numbers is used to preprocess the reaction time,the braking effect time and the speed of the front car.By analyzing the motion state of the vehicle,deriving the formula of safe warning distance,the collision avoidance warning is realized.To verify the validity of the algorithm,MATLAB is used to simulate the improved model algorithm.The results show that the improved model can improve the accuracy of early warning and meet the warning demand of different braking speeds.关键词
Berkeley模型/汽车防碰撞预警/算法/仿真/MATLABKey words
Berkeley model/vehicle anti-collision warning/algorithm/simulation/MATLAB/ZigBee分类
交通工程引用本文复制引用
臧利国,滕飞,彭志洋,尹荣栋,袁薛帅..改进Berkeley模型的汽车防碰撞预警算法[J].机械科学与技术,2018,37(7):1082-1088,7.基金项目
南京工程学院高层次引进人才科研启动基金项目(YKJ201516)、2017年江苏省高等学校大学生创新创业训练计划项目(201711276032)及南京工程学院大学生科技创新基金项目(TZ20170019)资助 （YKJ201516）
