云南空港物流吞吐量灰预测建模及分析-豆柴文库

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云南空港物流吞吐量灰预测建模及分析
Title:ModelingandAnalysisofFreightThroughputPredictionforYunnanAirportLogistics
Abstract:
Theefficientoperationofanairportlogisticssystemreliesheavilyonaccuratepredictionsoffreightthroughput.ThispaperaimstodevelopapredictivemodelandconductananalysisoffreightthroughputatYunnanAirport,China.Byincorporatinghistoricaldataandemployingadvancedanalyticaltechniques,thisresearchaimstoenhancetheunderstandingoffreightmovementsandassistineffectiveresourceallocationandcapacityplanning.
Keywords:freightthroughput,predictionmodel,YunnanAirport,logistics,capacityplanning
1.Introduction
Thegrowthofe-commerceandinternationaltradehasledtoasignificantincreaseinfreightvolumes,placingpressureonairportlogisticssystems.Accurateforecastingoffreightthroughputiscrucialforeffectivelymanagingresources,optimizingoperations,andensuringsmoothlogisticsprocesses.ThispaperfocusesondevelopingapredictivemodelandanalyzingfreightthroughputatYunnanAirport,locatedinChina'ssouthwesternprovince.
2.LiteratureReview
Previousstudieshavehighlightedvariousapproachestopredictfreightthroughputinairports.Thesetechniquesrangefromtraditionaltime-seriesmodelssuchasARIMAandexponentialsmoothingtoadvancedmachinelearningalgorithmslikeartificialneuralnetworksandsupportvectormachines.Additionally,researchhasemphasizedtheimportanceofconsideringfactorssuchasweather,trendsintrade,andeconomicindicatorsinpredictingfreightvolumes.
3.DataCollectionandPreprocessing
ThisstudyutilizeshistoricaldataobtainedfromYunnanAirport'slogisticssystem.Thedatasetincludesinformationonpastfreightvolumes,aswellasrelevantvariablessuchastime,weatherconditions,andtradeindicators.Topreparethedataforanalysis,athoroughcleaningprocesswillbeconductedtoeliminateoutliersandmissingvalues.Additionally,featureengineeringtechniqueswillbeappliedtoextractmeaningfulinformationfromthedata.
4.ModelDevelopment
Tocreateanaccuratepredictivemodel,acombinationoftime-seriesanalysisandmachinelearningalgorithmswillbeutilized.Initially,traditionaltime-seriesmo