Flight Demand Forecasting Model Based on Grey Topological Prediction

被引：0

作者：

Fan Wei ^{[1
]}

Zhang Yi-hua ^{[1
]}

Ci Xiang ^{[1
]}

Fu Bo-shi ^{[1
]}

机构：

[1] Civil Aviat Univ China, Coll Comp Sci & Technol, Tianjin, Peoples R China

来源：

2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 1 | 2011年

关键词：

grey topological; flight demand forecasting; revenue management;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Flight demand forecasting is the core technology for airline revenue management. In this paper, a flight reservation model is constructed by using the grey topological prediction. This model can build modeling with poor flight reservation information, and looks for reservation regulation from the reservation count extracted from all the flight-information collection points, which can effectively avoid the data volatility. A comparison is also made between this model and the extensively used incremental method and regression method. The experimental result shows that the model has a higher prediction accuracy and practical value.

引用

页码：270 / 274

页数：5