基于大数据与机器学习的安检通道开放数预测

Prediction of Security Channel Opening Number based on Big Data and Machine Learning

有效地预测安检通道开放数,对合理制定机场安检排班有重要的指导意义,能够提升机场安全保障和旅客体验。随着大数据的浪潮,大数据机器学习在各领域已有广泛的应用,本文将其应用到了机场安检通道开放数的预测上。结合安检人数历史数据和航班信息数据,实现对安检人数的预测,进而实现安检通道口的预测,并对比多种算法预测效果。

Effectively predicting the opening number of security inspection channels has important guiding significance for the reasonable formulation of airport security inspection schedules,and can improve airport security and passenger experience.With the wave of big data,big data machine learning has been widely used in various fields.This article applies it to the prediction of the opening number of airport security channels.Combining the historical data of security inspection number and flight information data,it can realize the prediction of security inspection number,and then realize the prediction of security inspection channel,and compare the prediction effects of various algorithms.