Application of Grey Prediction Model to Short-time Passenger Flow Forecast

被引：4
|
作者：
Zhang, Zhen [1 ]
Xu, Xiao [1 ]
Wang, Zhan [1 ]
机构：
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450000, Henan, Peoples R China
来源：
MATERIALS SCIENCE, ENERGY TECHNOLOGY, AND POWER ENGINEERING I | 2017年 / 1839卷
关键词：
Passenger flow; time-division; grey prediction;
D O I：
10.1063/1.4982501
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The forecast of passenger flow related to the economic and social benefits of transit enterprise is one of the vehicle dispatching problems which should be solved. This paper put forward a time-division forecasting method of passenger flow. Combining this method with grey system theory, we build a grey prediction model GM(1,1). Its correctness has been tested by some residual test and posterior-variance-test. The method is suitable to the passenger flow forecast of a trip, with high prediction accuracy.
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页数：6
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