一种基于驾驶特征的自适应巡航控制系统的研究与设计

Research and Design of an Adaptive Cruise Control System Based on Driving Characteristics

基于驾驶特征的自学习算法是一种在传统算法的基础上,增加驾驶特征因素来计算车辆加速度与跟车距离的控制算法。基于MATLAB/Simulink软件搭建模型,收集驾驶员驾驶特征数据并建立专家经验库。仿真结果表明,该算法能够对驾驶员的驾驶行为进行学习,并且将学习数据应用到自适应巡航控制系统之中,可以有效提升自动驾驶体验。

Self-learning algorithm based on driving characteristics is a control algorithm to calculate vehicle acceleration and tracking distance by adding driving characteristics factors on the basis of traditional algorithm.Build the model based on MATLAB/Simulink software,collect driver characteristics data and establish expert experience base.The simulation results show that the algorithm can learn the driving behavior of the driver,and the learning data can be applied to the adaptive cruise control system,which can effectively improve the self-driving experience.