Prediction Model with a Logistic Regression of Sequencing Two Arrival Flows

합류하는 두 항공기간 도착순서 결정에 대한 로지스틱회귀 예측 모형

Jung, Soyeon;Lee, Keumjin

  • Received : 2015.12.07
  • Accepted : 2015.12.20
  • Published : 2015.12.31


This paper has its purpose on constructing a prediction model of the arrival sequencing strategy which reflects the actual sequencing patterns of air traffic controllers. As the first step, we analyzed a pair-wise sequencing of two aircraft entering TMA from different entering points. Based on the historical trajectory data, several traffic factors such as time, speed and traffic density were examined for the model. With statistically significant factors, we constructed a prediction model of arrival sequencing through a binary logistic regression analysis. With the estimated coefficients, the performance of the model was conducted through a cross validation.


Sequencing Strategy;Logistic Regression;Data-driven;Machine Learning;Air Traffic Controller;Cross Validation


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Grant : 항공기 출발 및 도착 통합 관리 기술 연구