CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2018-07-08
Cited: 0
Clicked: 8609
Yi Lin, Jian-wei Zhang, Hong Liu. An algorithm for trajectory prediction of flight plan based on relative motion between positions[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1700224 @article{title="An algorithm for trajectory prediction of flight plan based on relative motion between positions", %0 Journal Article TY - JOUR
基于飞行相对运动的航班计划轨迹预测算法关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Alligier R, Gianazza D, Durand N, 2015. Machine learning and mass estimation method for ground-based aircraft climb prediction. IEEE Trans Intell Transp Syst, 16(6): 3138-3149. ![]() [2]Ayhan S, Samet H, 2016. Aircraft trajectory prediction made easy with predictive analytics. ACM SIGKDD Int Conf on Knowledge Discovery & Data Mining, p.21-30. ![]() [3]Barrios C, Motai Y, 2011. Improving estimation of vehicle’s trajectory using the latest global positioning system with Kalman filtering. IEEE Trans Instrum Meas, 60(12): 3747-3755. ![]() [4]Chen ZJ, 2010. Theory and Method of Airspace Management. Science Press, Beijing, China, p.217-227 (in Chinese). ![]() [5]Ding ZM, Yang B, Güting RH, et al., 2015. Network-matched trajectory-based moving-object database: models and applications. IEEE Trans Intell Transp Syst, 16(4): 1918-1928. ![]() [6]Gardi A, Sabatini R, Ramasamy S, et al., 2013. 4-Dimensional trajectory negotiation and validation system for the next generation air traffic management. AIAA Guidance, Navigation, and Control Conf, p.1-15. ![]() [7]Hamed MG, Gianazza D, Serrurier M, et al., 2013. Statistical prediction of aircraft trajectory: regression methods vs point-mass model. 10th USA/Europe Air Traffic Management Research and Development Seminar, p.1-11. ![]() [8]Jeung HY, Shen HT, Zhou XF, 2007. Mining trajectory patterns using hidden Markov models. Int Conf on Data Warehousing and Knowledge Discovery, p.470-480. ![]() [9]Li Z, Li SH, Wu XL, 2015. General aircraft 4D flight trajectory prediction method based on data fusion. Int Conf on Machine Learning and Cybernetics, p.309-315. ![]() [10]Lymperopoulos I, Lygeros J, 2010. Sequential Monte Carlo methods for multi-aircraft trajectory prediction in air traffic management. Int J Adapt Contr Signal Process, 24(10):830-849. ![]() [11]Mahler PSR, 2011. Statistical Multisource-Multitarget Information Fusion. National Defense Industry Press, Beijing, China, p.27-37 (in Chinese). ![]() [12]Morzy M, 2007. Mining frequent trajectories of moving objects for location prediction. Proc 5th Int Conf on Machine Learning and Data Mining in Pattern Recognition, p.667-680. ![]() [13]Naseri A, Neogi N, Rantanen E, 2007. Stockastic hybrid models with applications to air traffic management. AIAA Guidance, Navigation, and Control Conf and Exhibit, p.370-379. ![]() [14]Prento T, Thom A, Blunck H, et al., 2015. Making sense of trajectory data in indoor spaces. IEEE Int Conf on Mobile Data Management, p.9424-9436. ![]() [15]Qiao MY, Bian W, Xu RYD, et al., 2015. Diversified hidden Markov models for sequential labeling. IEEE Trans Knowl Data Eng, 27(11):2947-2960. ![]() [16]Qiao SJ, Jin K, Han N, et al., 2015a. Trajectory prediction algorithm based on Gaussian mixture model. J Softw, 26(5):1048-1063. ![]() [17]Qiao SJ, Shen DY, Wang XT, et al., 2015b. A self-adaptive parameter selection trajectory prediction approach via hidden Markov models. IEEE Trans Intell Transp Syst, 16(1):284-296. ![]() [18]Shanmuganathan SK, 2014. A HMM-Based Prediction Model for Spatio-Temporal Trajectories. MS Thesis, the University of Texas at Arlington, Dallas, USA. ![]() [19]Song LL, 2012. A 4-D trajectory prediction method based on set of historical trajectory. Comput Technol Dev, 12:11-14. ![]() [20]Tang KS, Zhu SF, Xu YQ, et al., 2016. Modeling drivers’ dynamic decision-making behavior during the phase transition period: an analytical approach based on hidden Markov model theory. IEEE Trans Intell Transp Syst, 17(1):206-214. ![]() [21]Tang XM, Chen P, Zhang Y, 2015a. 4D trajectory estimation based on nominal flight profile extraction and airway meteorological forecast revision. Aerosp Sci Technol, 45:387-397. ![]() [22]Tang XM, Gu JW, Shen ZY, et al., 2015b. A flight profile clustering method combining TWED with K-means algorithm for 4D trajectory prediction. Integrated Communication, Navigation, and Surveillance Conf, p.1-9. ![]() [23]Tang XM, Zhou L, Shen ZY, et al., 2015c. 4D trajectory prediction of aircraft taxiing based on fitting velocity profile. 15th COTA Int Conf of Transportation Professionals, p.1-12. ![]() [24]Wandelt S, Sun XQ, 2015. Efficient compression of 4D-trajectory data in air traffic management. IEEE Trans Intell Transp Syst, 16(2):844-853. ![]() [25]Xie AM, Cheng P, 2015. 4D approaching trajectory design in terminal area based on radar data. Appl Mech Mater, 740:731-735. ![]() [26]Yepes JL, Hwang I, Rotea M, 2007. New algorithms for aircraft intent inference and trajectory prediction. J Guid Contr Dynam, 30(2):370-382. ![]() [27]Zahariand A, Jaafar J, 2015. Combining hidden Markov model and case based reasoning for time series forecasting. Commun Comput Inform Sci, 513:237-247. ![]() [28]Zhang JF, Jiang HX, Wu XG, 2014. 4D trajectory prediction based on BADA and aircraft intent. J Southwest Jiaotong Univ, 49(3):553-558. ![]() [29]Zheng Y, Zhou XF, 2012. Computing with Spatial Trajectories. Springer, New York, USA, p.337-394. ![]() Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
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