Prediction of Arrival Sequence at Tokyo International Airport by Pairwise Comparison

Author:

FUJITA Masato

Publisher

Japan Society for Aeronautical and Space Sciences

Reference7 articles.

1. 2) Pinedo, M. L.: Scheduling - Theory, Algorithms and Systems, 4th eds., Springer, New York, 2012.

2. 3) DeLeege, A. M. P., VanPassen, M. M. and Mulder, M.: A Machine Learning Approach to Trajectory Prediction, AIAA Guidance, Navigation and Control Conference, AIAA2013-4782, Boston, 2013.

3. 4) Alligier, R., Gianazza, D. and Durand, N.: Machine Learning and Mass Estimation Method for Ground-based Aircraft Climb Prediction, IEEE Trans. Intelligent Transportation Systems, 16 (2015), pp. 3138-3149.

4. 5) Alligier, R., Gianazza, D. and Durand, N.: Machine Learning Applied to Airspeed Prediction during Climb, ATM Seminar, Lisbon, 2015.

5. 6) Hong, S. and Lee, K.: Trajectory Prediction for Vectored Area Navigation Arrivals, J. Aerospace Information Systems, 12 (2015), pp. 490-502.

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