The invention discloses an urban expressway traffic accident meteorological factor sensitivity analysis method, which comprises the following steps: establishing a BP neural network model, then carrying out model optimization according to a genetic algorithm, finding the optimal number of hidden layer nodes and a training algorithm of the neural network model, and carrying out fitting verification on the neural network model; and then, according to the established neural network model, performing local sensitivity analysis and global sensitivity analysis in sequence, and establishing a visual three-dimensional graph. By adopting the analysis method, the accuracy of traffic accident prediction is improved, and the significant relationship between the meteorological factors and the traffic accident number is clearly displayed.

    本发明公开了一种城市快速路交通事故气象因子敏感性分析方法,建立BP神经网络模型,然后依据遗传算法进行模型优化,找到神经网络模型的最佳隐含层节点数和训练算法,并对神经网络模型进行拟合验证;然后,依据建立的神经网络模型,依次进行局部敏感性分析和全局敏感性分析,建立可视化三维图形。本发明采用上述分析方法,提升交通事故预测的精度,清晰显示气象因子与交通事故数之间的显著关系。


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    Titel :

    Urban expressway traffic accident meteorological factor sensitivity analysis method


    Weitere Titelangaben:

    一种城市快速路交通事故气象因子敏感性分析方法


    Beteiligte:
    WANG JIANJUN (Autor:in) / LU XIAOJUAN (Autor:in) / WANG SAI (Autor:in) / MA CHICHENG (Autor:in) / GUAN SHAN (Autor:in) / SONG MINGYANG (Autor:in) / LI DONGYI (Autor:in)

    Erscheinungsdatum :

    2021-11-05


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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