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

为提高汽车防碰撞预警的准确性，拓宽预警系统的适用范围，提出一种基于改进Berkeley模型的汽车防碰撞安全预警算法。该算法采用ZigBee无线通信采集车辆运行状态信息，利用切比雪夫大数定律对反应时间、制动起效时间、前车车速进行预处理，分析前后车辆运动参数状态，推导出安全预警距离计算公式，从而实现汽车的防碰撞预警。为验证算法的有效性，基于MATLAB对改进的预警算法进行了仿真，结果表明：改进的算法能够提高预警准确性，满足不同制动减速度情况下的预警需求。
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