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Forecasting of Maritime Traffic Accident based on Residual Error Unbiased Grey Forecast Model

机译:基于残余误差无偏见灰色预测模型的海上交通事故预测

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In order to enhance the safety of maritime transportation and improve the accuracy of maritime traffic accident prediction, an unbiased grey forecast model based on residual error is applied to predict maritime traffic accident. Based on the historical data of maritime traffic accidents from 2008 to 2017, the traditional unbiased grey model prediction and residual error unbiased grey model prediction are carried out, and the fitting curves of actual value and predicted value of the two models are drawn. The results show that the prediction accuracy and fitting curve of residual error unbiased grey model are better than those of traditional unbiased grey model, which can truly reflect the development trend of comprehensive safety of maritime traffic, and the prediction results have certain reliability and practicability.
机译:为了提高海上运输的安全性,提高海上交通事故预测的准确性,基于残差误差的基于残留误差的无偏的灰色预测模型来预测海上交通事故。基于2008年至2017年的海上流量事故的历史数据,进行了传统的无偏灰色模型预测和残留误差的灰色模型预测,并绘制了两种模型的实际值和预测值的拟合曲线。结果表明,剩余误差无偏见灰色模型的预测精度和拟合曲线优于传统的无偏灰色模型,这可以真正反映海运综合安全的发展趋势,预测结果具有一定的可靠性和实用性。

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