Applications to Air Traffic Control Strategy of an Airspace Simulation Model

• Main Authors: Jui-Hua Yu, 俞瑞華
• Other Authors: Melody Dai
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/25602777018576630228

碩士 === 國立成功大學 === 交通管理學系碩博士班 === 91 === This study develops three strategies of air traffic flow management: “Metering Strategy”, “Flow Control Strategy”, and “Approach Control Strategy”. The methodology of system simulation is employed to evaluate the performance of these strategies. “Metering Strategy” tries to control the number of flights allowed to enter the congested airspace. It first defines the bottleneck and the associated number of flights allowed to fly through. Whenever the number of flights reaches this limit, the other flights will be diverted to another route or be delayed. “Flow Control Strategy” first defines the airspace scope for the implementation of flow control. By adjusting separation and aircraft speed, it can control the number of flights entering the congested airspace. By adjusting the aircraft speed and/or airborne holding time, “Approach Control Strategy” can better sequence flights and thus, enhance the runway throughput. The simulation model employed in this study is ANS 2.0 (Air Net Simulation 2.0). ANS 2.0 has been tentatively tested and validated. This study uses ANS 2.0 to represent the air traffic operation system, thus, it can evaluate the performance of each strategy under various scenarios. The scenarios considered in this study include a simple one peak flight schedule, the current flight schedule, 1.1 time of the current flight schedule and 1.2 time of the current flight. The airspace of Houlong to Linkou is chosen for implementing the air traffic flow management strategies. The performance indicators are “flight delay”, “runway throughput” and “average controlled flights”. The results show that “Approach Control Strategy” has the best performance when airspace is congested.