• ISSN 0258-2724
  • CN 51-1277/U
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Volume 27 Issue 3
May  2014
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Journal of Southwest Jiaotong University  > 2014  >  27(3): 546-552.
WANG Ping, CHEN Rong, XU Jingmang, MA Xiaochuan, WANG Jian. Theories and Engineering Practices of High-Speed Railway Turnout System: Survey and Review[J]. Journal of Southwest Jiaotong University, 2016, 29(2): 357-372. doi: 10.3969/j.issn.0258-2724.2016.02.015
Citation: WANG Chao, HAN Bangcun, WANG Fei. Identification of Prevalent Air Traffic Flow in Terminal Airspace Based on Trajectory Spectral Clustering[J]. Journal of Southwest Jiaotong University, 2014, 27(3): 546-552. doi: 10.3969/j.issn.0258-2724.2014.03.027
shu

Identification of Prevalent Air Traffic Flow in Terminal Airspace Based on Trajectory Spectral Clustering

doi: 10.3969/j.issn.0258-2724.2014.03.027
  • Received Date: 15 Jul 2013
  • Publish Date: 25 Jun 2014
    Abstract
  • In order to improve the adaptability of terminal airspace and standard arrival/departure routes to real air traffic flows and their spatial distribution, a method for detection of main air traffic flows in massive flight trajectories was addressed. After analysis of the spatial characteristics of trajectories, a trajectory similarity model based on 3D grids was proposed. Flight trajectories were partitioned with spectral clustering algorithm, and an identification method for prevalent air traffic flow and outlier trajectories was proposed through kernel density estimation of trajectories in one cluster. Experiments were carried out from trajectories recorded by air traffic control radar to identify prevalent traffic flows. The results show that 1 476 trajectories were divided into 5 clusters, and 5 prevalent traffic flows were identified; in addition, the identification results were not affected by outliers.

     

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