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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,将神经网络技术、可靠性理论、蒙特卡洛模拟法和事故再现分析技术相结合,提出了基于神经网络的冗余信息交通事故再现可靠性分析方法,为问题的解决提供了一种有效途径。
In view of the objective factors of the actual road traffic accidents, reliability theory and stochastic perturbation method are applied to the analysis of road traffic accidents, and the corresponding methods of reliability analysis of road traffic accidents are given, which improves the analysis results Accuracy. For the same accident, due to different information and calculation model, the analysis results will inevitably have different degrees of difference, resulting in redundant information under the analysis of traffic accident analysis. Aiming at the problem of redundant information in traffic accident, this paper proposes a neural network based reliability analysis method based on neural network technology, reliability theory, Monte-Carlo simulation and accident reproduction analysis technology The solution to the problem provides an effective way.