The Number of Passengers Forecast in Emergency Situation of Airport Based on Time Series Analysis

Bing Li, Xiaochen Ding, Wenlei Han, L. Cheng, Mengying Yu
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引用次数: 1

Abstract

The number of delayed passengers forecast is a key factor to improve the efficiency of airport facility in emergency situation. But it is rarely considered to make a forecast beforehand based on a scientific method preparing for dealing with this kind of event in the future. Aiming at this problem, this paper proposed a forecasting method based on time series analysis. The method provides a relatively all-around approach for airport to better response to emergency.
基于时间序列分析的机场应急客运量预测
延误旅客数量预测是提高机场应急设施效率的关键因素。但是,人们很少考虑事先根据科学方法进行预测,为将来应对这类事件做准备。针对这一问题,本文提出了一种基于时间序列分析的预测方法。该方法为机场更好地应对突发事件提供了相对全面的途径。
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