A grey sequence prediction model on road traffic count

Journal of Chongqing Jiaotong University(Natural Science) ›› 2003, Vol. 22 ›› Issue (1): 87-89.

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A grey sequence prediction model on road traffic count

MAO Da-de

Changsha Jiaotong University, Changsha 410076, China

Received:2002-01-18 Revised:2015-05-18 Online:2003-03-15 Published:2015-05-18

道路交通量数列预测模型

毛大德

长沙交通学院，湖南长沙 410076

作者简介:毛大德(1962—), 男, 湖南人, 讲师, 从事道路交通工程教学研究.

Abstract

Abstract: A grey prediction model on road traffic count is established by an example. The prediction precision is analyzed. The precision is higher and the compute is simpler than other ways.

Key words: Traffic count, grey sequence prediction, model

摘要： 应用灰色系统理论对道路交通量进行数列预测,并结合实例建立相应的模型予以验证,通过精度分析及与实际情况的比较,说明数列预测模型应用于道路交通量预测精度较高,而且方法简便.

关键词: 交通量, 数列预测, 模型

CLC Number:

U412.5

MAO Da-de. A grey sequence prediction model on road traffic count[J]. Journal of Chongqing Jiaotong University(Natural Science), 2003, 22(1): 87-89.

毛大德. 道路交通量数列预测模型[J]. 重庆交通大学学报（自然科学版）, 2003, 22(1): 87-89.

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A grey sequence prediction model on road traffic count

道路交通量数列预测模型

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