Author:
Verdonk Gallego Christian Eduardo,Gómez Comendador Víctor Fernando,Sáez Nieto Francisco Javier,Orenga Imaz Guillermo,Arnaldo Valdés Rosa María
Subject
Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference41 articles.
1. Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights;Alligier;Transport. Res. Part C: Emerg. Technol.,2013
2. Machine learning and mass estimation methods for ground-based aircraft climb prediction;Alligier;IEEE Trans. Intell. Transport. Syst.,2015
3. Alligier, R., Gianazza, D., Durand, N., 2016. Predicting aircraft descent length with machine learning. In: 7th International Conference on Research in Air Transportation (ICRAT). Philadelphia, United States, pp. 1–8.
4. Andrienko, G., Andrienko, N., Fuchs, G., Cordero Garcia, J.M., 2017. Clustering trajectories by relevant parts for air traffic analysis. IEEE Trans. Visual. Comp. Graph. 2626(c), doi:10.1109/TVCG.2017.2744322.
5. Automated aircraft trajectory prediction based on formal intent-related language processing;Besada;IEEE Trans. Intell. Transport. Syst.,2013
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献