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基于神经网络的冗余信息交通事故再现可靠性分析
引用本文:张雷,梅冰松,来剑戈,王连明,张琳,王超勇.基于神经网络的冗余信息交通事故再现可靠性分析[J].公路交通科技,2011,28(2):121-126.
作者姓名:张雷  梅冰松  来剑戈  王连明  张琳  王超勇
作者单位:北京市公安局公安交通管理局交通事故鉴定中心,北京,100012
基金项目:"十一五"国家科技支撑计划项目,公安部应用创新计划项目
摘    要:针对实际道路交通事故中客观存在的不确定性因素,将可靠性理论和随机摄动法应用于道路交通事故再现分析,给出了相应的交通事故再现可靠性分析方法,提高了再现分析结果的精度.对于同一起事故,由于采用不同的信息和计算模型,得到的分析结果必然会存在不同程度的差异,从而产生冗余信息下的交通事故再现分析问题.针对交通事故中的冗余信息问题...

关 键 词:交通工程  交通事故再现  可靠性分析  冗余信息  随机摄动法  蒙特卡洛模拟法  神经网络

Reliability Analysis of Traffic Accident Reconstruction with Redundant Information Based on Neural Network
ZHANG Lei,MEI Bingsong,LAI Jiange,WANG Lianming,ZHANG Lin,WANG Chaoyong.Reliability Analysis of Traffic Accident Reconstruction with Redundant Information Based on Neural Network[J].Journal of Highway and Transportation Research and Development,2011,28(2):121-126.
Authors:ZHANG Lei  MEI Bingsong  LAI Jiange  WANG Lianming  ZHANG Lin  WANG Chaoyong
Institution:ZHANG Lei,MEI Bingsong,LAI Jiange,WANG Lianming,ZHANG Lin,WANG Chaoyong(Traffic Accident Identification Center of Beijing Traffic Management Bureau,Beijing 100012,China)
Abstract:In order to improve the precision and credibility of traffic accident reconstruction analysis,reliability theory and probabilistic perturbation method were introduced because of the existing of uncertainty factors in practical traffic accident universally,and the corresponding reliability analysis method was proposed.Moreover,to the same traffic accident,various differences in analysis results are inevitable for different information or calculations adopted in reconstruction analysis,which initiates the que...
Keywords:traffic engineering  traffic accident reconstruction  reliability analysis  redundant information  probabilistic perturbation method  Monte Carlo simulation  neural network    
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