A study on Departing Passengers' Flow Prediction using AODB data

抄録

Passenger flow management (PFM) has been considered as a novel solution for addressing passengers' congestion in airport terminal area. However it has been considered impossible to predict passenger flow in an airport terminal because of absence of passenger flow data. Fortunately the use of state-of-the-art Airport Operations Database (AODB) systems implemented at the world's leading airports is increasing the likelihood of systematic tracking of passengers' arrival and dwell times. The main purpose of this paper is to predict departure passengers' flow using AODB data. We proposed conceptual procedure in order to predict passengers' flow in airport terminal. A data mining technique is applied in order to effectively deal with a large amount of passenger data and comparison of actual AODB data with prediction results is also presented for verifying utilization of the procedure proposed in this paper.