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http://dx.doi.org/10.12985/ksaa.2015.23.4.042

Prediction Model with a Logistic Regression of Sequencing Two Arrival Flows  

Jung, Soyeon (한국항공대학교 대학원 항공교통물류학과)
Lee, Keumjin (한국항공대학교 항공교통물류학과)
Publication Information
Journal of the Korean Society for Aviation and Aeronautics / v.23, no.4, 2015 , pp. 42-48 More about this Journal
Abstract
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.
Keywords
Sequencing Strategy; Logistic Regression; Data-driven; Machine Learning; Air Traffic Controller; Cross Validation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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