考虑驾驶员差异性的安全距离模型优化

Optimization of safe distance model considering driver difference

针对传统模型中将驾驶员反应时间设为固定值、忽略驾驶员差异性这一问题进行优化,提出一种考虑驾驶员差异性的安全距离模型.选取驾驶员驾龄、驾驶风格识别系数、车速这3个因素作为特征值,采用模糊控制算法,对驾驶员反应时间进行计算.基于Honda模型建立考虑驾驶员差异性的安全距离模型,依据中国新车评价规程(China-new car assessment program, C-NCAP),选取前车制动工况对所提出的安全距离模型进行仿真试验验证.结果表明:所提出的模型在上述工况下具有良好的实时性和适应性,安全距离模型在保证行车安全性的基础上,驾驶员反应时间能够体现不同类型驾驶员的差异性,提高了行驶安全性.

The traditional model sets the driver response time as fixed value,and the driver difference is ignored,which can lead to the error of collision warning.To optimize the problem,a safe distance model was proposed with considering the driver difference.The three factors of driver′s driving age,driving style and speed were selected as characteristic values,and the response time of the driver was calculated by fuzzy control algorithm.Based on Honda model,a safe distance model considering the driver difference was established.According to the China-new car assessment program(C-NCAP),the braking condition of the front car was selected to carry out the simulation test for verifying the proposed safe distance model.The results show that the proposed model has good real-time performance and adaptability under the above conditions.The safe distance model not only ensures the driving safety,but also the response time of the driver can reflect the differences of different types of drivers to improve the driving safety.