多目的最適化と決定木を用いたエンルート交通流における速度制御戦略の抽出

抄録

A new approach to extract the optimal speed-control strategy for air traffic controllers (ATCOs) is proposed. Air traffic demand is expected to grow in the next decades, causing the overcapacity of large-scale airports. Extended Arrival Management (E-AMAN) is becoming one of the potential operational concepts to accommodate this increasing demand. In E-AMAN, upstream ATCOs instruct pilots to increase or decrease cruise speed to effectively reduce the expected delay times and fuel consumption around large-scale airports. The E-AMAN system is designed according to the target area because the optimal speed-control depends on the characteristics of the target airport, airspace, and air traffic flow. Therefore, this study establishes a method to analyze the characteristics contributing to speed control. First, a rule-based simulator and multi-objective optimization are combined to search for the optimal speed for each aircraft. The deceleration speed instructed at the 150NM from Tokyo International Airport is used as the design variable to minimize the flight time of both takeoff-inflow and cruise-inflow flights. Finally, the decision trees are constructed for the two major route-clusters by using the obtained non-dominated solutions and 18 local information obtained during the speed control. As the results, the non-dominated solutions significantly reducing the both flight times are obtained. The decision trees clarify the features and their thresholds which contribute to the decision-making of speed control for each route-cluster. The results imply that the optimal speed-control strategy could vary depending on the airport and airspace. This research will contribute to expanding the understanding of common points and differences in the speed control by ATCOs with different airspaces.