A comparison of 4D-trajectory operations envisioned for nextgen and sesar, some preliminary findings, pp.23-28, 2012. ,
, Dart-data-driven aircraft trajectory prediction research
Statistical prediction of aircraft trajectory: regression methods vs point-mass model, ATM Seminar, 2013.,
URL : https://hal.archives-ouvertes.fr/hal-00911709
A 4-d trajectory prediction model based on radar data, Control Conference, 2008. CCC 2008. 27th Chinese, pp.591-594, 2008. ,
A machine learning approach to trajectory prediction, AIAA Guidance, Navigation, and Control (GNC) Conference, p.4782, 2013. ,
Trajectory prediction for vectored area navigation arrivals, Journal of Aerospace Information Systems, vol.12, issue.7, pp.490-502, 2015. ,
Aircraft trajectory forecasting using local functional regression in sobolev space, Transportation research part C: emerging technologies, vol.39, pp.1-22, 2014.,
URL : https://hal.archives-ouvertes.fr/hal-00924360
, Statistical methods versus neural networks in transportation research
, Differences, similarities and some insights, Transportation Research Part C: Emerging Technologies, vol.19, pp.387-399, 2011.
Using neural networks to predict aircraft trajectories, IC-AI, pp.524-529, 1999. ,
Machine learning applied to airspeed prediction during climb, ATM seminar 2015, 11th USA/EUROPE Air Traffic Management R&D Seminar, 2015.,
URL : https://hal.archives-ouvertes.fr/hal-01168664
, Machine learning and mass estimation methods for ground-based aircraft climb prediction, IEEE Transactions on Intelligent Transportation Systems, vol.16, issue.6, pp.3138-3149, 2015.
Short-term 4d trajectory prediction using machine learning methods, SID 2017, 7th SESAR Innovation Days, 2017.,
URL : https://hal.archives-ouvertes.fr/hal-01652041
Scaling learning algorithms towards ai, vol.34, pp.1-41, 2007. ,
, Report on national civil aviation flight operation efficiency in 2017 (chinese), Tech. Rep, 2018.
, Electronic Aeronautical Information Publication of People's Republic of China, Aeronautical Information Center, 2017.
Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012.,
DOI : 10.1145/3065386
URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf
Adam: A method for stochastic optimization, 2014. ,
Automatic differentiation in pytorch, 2017. ,
Neural networks: a comprehensive foundation, 1994. ,