商用车前撞报警算法研究

汽车前撞报警系统能够有效避免追尾危险，对提高交通安全具有重要意义。针对商用车，提出了危险系数的概念及适应驾驶员特性的基于危险系数Crisk的报警算法，确定了报警启动逻辑，通过真实道路实验获得驾驶员特性实验数据，得到不同类型驾驶员跟车行为特性参数，并且根据驾驶员异常行为的实验数据统计得到报警阈值。通过硬件在环仿真实验和实车试验，统计分析了系统报警的正确率、漏警率和误警率。试验结果表明，提出的前撞报警算法能够有效体现不同类型的驾驶员特性，提高了系统的可接受性。

Study on Forward Collision Warning Algorithm for CV

FCWS（Forward Collision Warning System） can effectively reduce the risk of rear-end collision, which is significant for the improvement of traffic safety. In this paper,clanger coefficient Crisk, was defined and a Crisk based on strategy was utilized to design the forward warning algorithm, including the determination of its warning activation logic and statistically computation of its warning threshold. Driver behavior experiments on passenger cars were carried out to acquire naturalistic driver data and the relationship among critical parameters was statistically analyzed. On its basis, a danger coefficient strategy was experiment results demonstrate that the algorithm is able to embody various types of drivers ＇characteristics and improve the user acceptance on FCWS.