Abstract: The aggregation rule of departure passengers in the terminal building is studied in combination with human behavior dynamics. Based on this, the change rule of queuing length of departing passengers on non-full-open check-in island is studied. The queuing process is discretized by introducing the concept of time series, and the queue length Markov Chain is obtained in the serpentine queuing form. Then, the aggregation rate of each time series is predicted by the single-flight departure passenger aggregation model. By selecting the appropriate value of the check-in counter service rate, the check-in queuing length model of multiple adjacent flights is established under the circumstance of opening fixed number check-in counter. By comparing the queuing length predicted by the model with the actual data, relatively high prediction accuracy of the queuing length model and the rationality of queuing aggregation are proved.

Key words: air transportation, queuing length model, discretization analysis, check-in queuing process, accumulation rule