Research On Terminal Abnormal Passenger Traffic Flow Early Warning

In recent years, with modern social, political, economic fast booming culturalintegration, the community transportation system put forward higher requirements. CivilAviation Transportation as a transportation system is an important way, the importancein modern society has become increasingly prominent. Against this backdrop, theairport terminal as an important aviation hub for transportation modes, and its passengertraffic anomaly problem more and more people concern and attention. However, thepresent study are mostly concentrated in passenger traffic for real-time detection andmonitoring, and for passenger traffic anomalies mechanism analysis and the search fordeeper mathematical function expression analysis seldom carry terminal passengertraffic anomaly research is very necessary warning.Paper analyses the airport terminal passenger traffic passenger flow characteristicsnormally gives the airport terminal passenger traffic anomaly definition, exploresterminal passenger traffic anomaly, analyzes airport terminal passenger traffic led thecause of abnormal proposed airport terminal passenger traffic anomaly coping strategiesfrom both the time domain and geographical. For airport terminal passenger trafficanomalies, combined with the early warning method theory, learn and absorbinformation theory and cybernetics ideas put forward six principles of screeningindicators screened three terminal passenger traffic anomaly can describe early warningindicators, and measure of early warning alarm level has been divided. Applydiscriminated analysis to establish the airport terminal passenger traffic anomalywarning model and risk function use risk warning degree table to get the results. FinallyHarbin Taiping International Airport Terminal, for example, combined with historicalstatistical data and a survey of the actual status of the development program, conducteda field survey, using the built passenger terminal passenger traffic anomaly discriminantanalysis model to measure level warning alarm, verify the validity of the modelpassenger abnormal warning.