Forecast method and system for number of people at departures in terminal buildings

Abstract

The invention relates to the field of data analysis and especially relates to a forecast method and system for the number of people at departures in terminal buildings. The method comprises followingsteps: obtaining traffic data x of a last period of time; using a unitary linear regression method to predict the number N01 of departure people in the previous period based on traffic data x; performing normalization processing on the traffic data x and using a BP neural network to predict the number N02 of departure people in the previous period of time; obtaining the real number N0 of the departure people in the previous period of time; determining whether using the unitary linear regression method or the BP neural network to predict the current number N1 of departure people according to N01, N02 and N0. The invention also provides a predicting system of the number of departure people at terminal buildings. According to the invention, different algorithms such as unitary linear regression method and the BP neural network are used for predicting the number of departure people at terminal buildings; according to the prediction result and the actual value, the algorithm with the smaller error of the actual value is automatically selected as the optimal algorithm for prediction, which greatly improves the accuracy of the prediction.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a method and system for predicting the number of departures from a terminal building. Background technique [0002] With the increasing demand of civil aviation, the throughput of airport data is on the rise, while flight information, passenger information, and airport information are each responsible for each department, and the data is relatively scattered. [0003] The A-CDM (Airport-Collaborative Decision Making) system is guided by the establishment of an airport security management system centered on improving ground operation efficiency, and aims to improve timely and effective information sharing among airlines, airports, and air traffic control departments. The goal is to ensure the smooth flow of information among various units by optimizing resource utilization and improving the predictability of time nodes, further fully mobilizing security resources, and improving resour...

AI Technical Summary

Problems solved by technology

Taking the prediction of the number of departures from the terminal building as an example, the system can only obtain the number and time of passing vehicles at the toll gate of the expressway, but it cannot predict the number of departures from the terminal based on these data

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