臺灣博碩士論文加值系統

國內航線交通流量大幅增加後，飛機延誤及近場壅塞的現象已很普遍，
造成航管人員的工作量大增，以及飛航系統效益不彰。流量管制之相關研
究以協助舒解擁塞的近場空域變得極為迫切與重要。本論文以終端管制區
內近場航機的流量管制問題，提出利用模糊理論建構近場排序的方法。利
用一些口語化的規則及推論可得到飛機的欲降落的時間及降落的順序。本
文將所發展的方法應用於台北松山機場之流量管制上，模擬高流量下降落
航機的順序，並利用由飛航數據處理系統(Flight Data Processing,
FDP)取得的資料，來分析飛機的降落率及計算飛機的延遲時間，以評估本
方法的效益。本研究將用於高流量機場近場管制之到場排序，以減輕航管
負擔。

Flight delays and approach jamming has become a serious
problem, then has resulted heavy load and inefficient operation
to ATC due to vast increase in domestic flights in this decade.
Flow control and related investigations to ease TCA approach
control have experienced an urgent demand and utmost importance.
This thesis presents an arrival scheduling approach for TCA
using fuzzy logic theory. This method uses a series of verbal
descriptive rules to determine the arrival flight sequence and
to estimate landing time. A case study to Sung-Shan Airport
(TSA) has been simulated under heavy flow conditions. FDP data
are also applied to estimate flight landing time and possible
delay time to examine the effectiveness of the proposed method.
The results is useful to heavy flow airport of arrival
scheduling to reduce ATC loads.