摘要
为了研究路面状况及使用年限对道路纵向附着系数的影响,通过对不同年限、不同干湿状况的路面进行测试纵向附着系数,建立了基于模糊神经网络道路纵向附着系数预测模型,并通过实车制动试验进行验证。试验结果表明:预测模型误差率小于6%,实车制动试验制动车速与实际车速误差也在6%内,验证了模型的有效性和实用性。因此,为交通事故再现提供了一个快速有效的方法。
in order to research the influence between the tire-road coefficient of friction and road conditions as well as useful life, we build the tire-road coefficient of friction prediction model based on fuzzy neural-network, by the tire-road coefficient of friction test in different conditions. The result by vehicle braking test implies that the modal error ratio is less than 6%, and the real effect is satisfactory. This shows that the validity and practicality of model is verified. Therefore, this model provides a quick and accurate method with accident reconstruction,
出处
《汽车实用技术》
2013年第7期34-38,共5页
Automobile Applied Technology
关键词
道路纵向附着系数
模糊神经网络
预测模型
交通事故再现
the tire-road coefficient of friction
fuzzy neural-network, prediction model
accident reconstruction
