基于四阶段法的大型车超速辨识模型及其优化Large vehicle overspeed identification model based on four-stage method and its optimization
包旭,陈锦文,张山华,殷永文
摘要(Abstract)：
为了准确判定垂直侧碰电动自行车的大型车是否超速,结合骑车人、电动自行车的抛距和大型车碰撞前后制动距离,将碰撞过程逆向还原成四个阶段,提出基于四阶段法的大型车超速辨识模型(OILV)。分析OILV误差产生的原因,设置大型车碰撞前制动距离调节因子,并利用BP神经网络确定调节因子值,提出基于BP神经网络的大型车超速辨识模型(BP-OILV)。验证结果表明,相比于OILV,BP-OILV最高可将单个验证样本辨识误差由3.17%减小至0.01%,可将多个样本的误差均值由1.99%减小至0.29%,误差标准差由0.011减小至0.002,可精确稳定地辨识大型车是否超速。
关键词(KeyWords)： 大型车;超速辨识;逆向还原;四阶段;调节因子;BP神经网络
基金项目(Foundation): 国家自然科学基金资助项目(51308246);; 住建部科技资助项目(2014-K5-013)~~
作者(Author): 包旭,陈锦文,张山华,殷永文
DOI: 10.16652/j.issn.1004-373x.2018.21.031
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