Application of grey models to traffic flow prediction at non-detector intersections

被引：0

作者：

Sun, Yan ^{[1
]}

Chen, Senfa ^{[1
]}

Zhou, Zhenguo ^{[1
]}

机构：

[1] Inst. of Syst. Eng., Coll. of Econ. and Mgmt., Southeast Univ., Nanjing 210096, China

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2002年 / 32卷 / 02期

关键词：

Forecasting - Intersections - Mathematical models;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Conventional prediction methods require large number of samples while traffic flow data at non-detector intersections is very limited. To solve this problem a new self-adapting GM (1,1) model to predict traffic flow at non-detector intersections using the grey theory is proposed. The practical implementation of the new model through calculating program compiled was accomplished by a case study in Changshu, Jiangsu province. Results show that self-adapting GM (1,1) can achieve much better prediction accuracy than that of total data GM (1,1).

引用

页码：256 / 258

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