The invention discloses a traffic accident data quality enhancement method based on a generative adversarial network, and the method comprises the steps: S2, carrying out the preprocessing of a traffic accident data set, and obtaining a preprocessed data set; s3, performing data filling on the preprocessed data set by using a generative interpolation network to obtain a filled data set; s4, judging whether the filled data set meets a preset filling effect or not, and if yes, entering S5; otherwise, returning to S3; s5, performing data balancing processing on data with unbalanced categories in the filled data set to obtain a data set after data balancing processing; and S6, judging whether the data balance processing result achieves a balance effect or not, if so, outputting the data balance processing result as a quality enhancement result of the traffic accident data, and if not, taking the balance processing result as a filled data set and returning to S5. According to the invention, the loss phenomenon of the traffic accident data in the acquisition, transportation and storage processes can be overcome.
本发明公开了一种基于生成对抗网络的交通事故数据质量增强方法,包括:S2:对交通事故数据集进行预处理,得到预处理后的数据集;S3:利用生成式插补网络对预处理后的数据集进行数据填补,得到填补后的数据集;S4:判断填补后的数据集是否满足预设填补效果,若是,进入S5;否则,返回S3;S5:对填补后的数据集中类别不平衡的数据进行数据平衡化处理,得到数据平衡化处理后的数据集;S6:判断数据平衡化处理结果是否达到平衡效果,若是,将数据平衡化处理结果作为交通事故数据的质量增强结果输出,否则,将平衡化处理结果作为填补后的数据集并返回S5。本发明能够克服交通事故数据在采集、运输及存储过程中造成的丢失现象。
Traffic accident data quality enhancement method based on generative adversarial network
一种基于生成对抗网络的交通事故数据质量增强方法
2023-09-05
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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