• Title, Summary, Keyword: Runway Separation Minimum

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A Take-off Clearance Prediction Model for Mixed Mode Runway Operations (출·도착 혼합 사용 활주로에서의 관제사 이륙 허가 예측 모형 개발)

  • Hong, Sungkwon;Jeon, Daekeun;Kim, Hyounkyoung
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.24 no.3
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    • pp.48-54
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    • 2016
  • This paper proposes a prediction model of air traffic controller's take-off clearance under mixed mode runway operations. The proposed model has its purpose on the better prediction of the air traffic controller's clearance on take-offs of departure aircraft by considering various factors. For this purpose, support vector machine classification algorithm is used for the proposed model. The proposed model is applied to real air traffic operations to demonstrate its performances.

A Polynomial Time Algorithm for Aircraft Landing Problem (항공기 착륙 문제의 다항시간 알고리즘)

  • Lee, Sang-Un
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.9
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    • pp.161-168
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    • 2014
  • The optimal solution of minimum cost for aircraft landing problem(ALP) is very difficult problem because the approached aircraft are random time interval. Therefore this problem has been applied by various meta heuristic methods. This paper suggests O(nlog n) polynomial time heuristic algorithm to obtain the optimal solution for ALP. This algorithm sorts the target time of aircraft into ascending order. Then we apply the optimization of change the landing sequence take account of separation time and the cost of landing. For the Airland1 through Airland8 of benchmark data of ALP, we choose 25 data until the number of runway m that the total landing cost is 0. We can be obtain the optimal solution for all of the 25 data. Especially we can be improve the known optimal solution for m = 1of Airland8.