Estimation of Standard Operation Time of Flight Legs Based on Clustering and Probability Analysis

• 作 者: Yuan Ligang Hu Minghua Xie Hua Li Yinfeng
• 机 构: College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,
• 出 处: Transactions of Nanjing University of Aeronautics and Astron
• 发表日期: 2016年04期
• 关键词: flight leg standard operation time clustering probability analysis

A clustering algorithm and a probability statistics method were applied to different phases of a flight to analyze operation time during aircraft ground taxiing and airborne flight.And the clustering pattern,distribution characteristics and dynamically changing rules of the two phases were identified.Further,an estimate method was established to measure operation time of flight legs,with creative steps of calculating individual segment separately and then integrating them accordingly.The method can both objectively and dynamically measure operation time,and accurately reflect real situation.It helps to better utilize airport slot resources and provides a strong support for air traffic flow management when scheduling flight plan in strategic and pre-tactic phases.

A clustering algorithm and a probability statistics method were applied to different phases of a flight to analyze operation time during aircraft ground taxiing and airborne flight. And the clustering pattern, distribution characteristics and dynamically changing rules of the two phases identified. Future, an estimate method was established to measure operation time of flight legs, with creative steps of individual individual separately and then integrating them accordingly. method can both objectively and dynamically measure operation time, and accurately reflect real situation. It helps to better utilize airport slot resources and provides strong support for air traffic flow management when scheduling flight plan in strategic and pre-tactic phases.