基于时间序列的机票价格预测模型

Flight ticket fare prediction model based on time-serial

随着航空业的发展以及人们生活水平的提高,越来越多的人选择飞机作为自己的出行方式,但航空公司根据收益管理系统进行实时价格调整,票价变化明显。票价浮动大这一特点使价格预测极具实际应用价值。提出运用时间序列算法进行建模,设计并实现了基于时间序列的机票预测算法,通过比较分析预测结果与实际旅游网站发布价格,表明该模型可为旅客提供较可靠的购票决策支持,并为旅客节省开支。

With the development of aviation industry and the improvement of people＇s living level, an increasing number of people prefer to travel on air. But the airline companies are using revenue management system for real-time price adjustment which keep fare changing significantly. The price is characterized by large floating, which makes it valuable practically to research on predicting price. A flight ticket fare prediction model based on time-serial is proposed in this paper. A prediction of ticket time-serial algorithm is designed and implemented. Comparative analysis of the predicted and actual travel sites published price has indicated that the model can provide more reliable for passengers booking decision support.