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基于GM(1,1)的道路交通事故预测
引用本文:张道文.基于GM(1,1)的道路交通事故预测[J].西华大学学报(自然科学版),2009,28(3).
作者姓名:张道文
作者单位:西华大学交通与汽车工程学院,四川,成都,610039
摘    要:灰色预测法是将随机的原始数据序列用数据生成的方法生成规律性较强的新数列,以生成的新数列建立数学模型,GM(1,1)是一种典型的灰色模型.论文介绍数列灰色预测方法,通过道路交通事故预测实例,论述了GM(1,1)的建模过程,并对模型进行了检验.结果证明:针对我国道路交通事故典型灰色特征,用灰色理论进行预测研究是一种可行的方法,短期预测有较高的精度.

关 键 词:灰色理论  道路交通事故  预测  模型检验

Prediction of Road Traffic Accidents Based on Model GM(1,1)
ZHANG Dao-wen.Prediction of Road Traffic Accidents Based on Model GM(1,1)[J].Journal of Xihua University:Natural Science Edition,2009,28(3).
Authors:ZHANG Dao-wen
Affiliation:School of Transportation and Automotive Engineering;Xihua University;Chengdu 610039 China
Abstract:Gray forecasting is an approch in which a new series of data with a certain rule is generated from a random sequence of prime data by the method of data generation to build mathematical models.GM(1,1) is a typical gray model.This paper introduced a series of gray forecasting methods.Through actual examples of road traffic accidents forecast,the GM(1,1) modeling process was discussed and the model built was tested as well.The results obtained indicate that in view of the typical gray characteristics for road...
Keywords:GM(1  1)
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