The Evaluation Method Of Baggage Claiming Process Based On Node Data Restoration

The baggage claiming process is an important part of airport operations and passenger services after the flight arrives at the airport.The gathering of passengers in this area is likely to hinder airport operations.At the same time,the analysis of claiming process cannot reflect the actual passenger baggage claiming process due to the volatile operating conditions of the airport.Therefore,historical data is used to data learning and establish the baggage claiming process Bayesian Network(BN)model.In order to study the relationship inside the baggage claiming process,those were analyzed including baggage handling process,passenger behavior process and baggage claiming process after the flight arrived in airport.Thus a multi-flight multi-baggage claiming model was established.This model was used to calculate the baggage claiming average area to describe the congestion of the baggage claim area.At the same time,this indicator was selected to evaluate the quality of the baggage claiming process.Then the data which affected the baggage claiming process was collated in order to be selected as Bayesian Network(BN)nodes.Based on the historical data learning,the network structure of the baggage claiming process BN model was constructed using Bayesian structure learning.Based on the structure of the BN network of the baggage extraction process,six factors were selected whose contain the greatest impaction of the baggage claiming average area as the research objects.And then the baggage claiming average area BN model is established.Considering the incomplete data,the EM algorithm was selected as the parameter learning algorithm.Finally,a BN model of the baggage claiming average area was established.Combining the model and Bayes rule to perform dynamic estimation under the new data,mutual information was introduced to analyze the evaluation of the influence of each factor in the BN model.Based on the model and evaluation,it can provide that optimization suggestions for the congestion of baggage claim area and improvement methods of baggage claiming process.