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Flight trajectory clustering based on a novel distance from a point to a segment set
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Paper Abstract

The measurement of trajectory distance is the base of trajectory clustering. To deal with the flight trajectory clustering in air traffic, a novel method is proposed in this paper to measure the flight trajectory distance. This method views the trajectory as a set of segments, whose end points are trajectory points, and it measures the distance from a trajectory point to another trajectory, and thus presents the distance definition of trajectories. Based on the calculated distance matrix, spectral clustering algorithm is adopted to cluster flight trajectories. The experiment on actual flight trajectory data verifies the effectiveness of the proposed method.

Paper Details

Date Published: 31 July 2019
PDF: 6 pages
Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980E (31 July 2019); doi: 10.1117/12.2540415
Show Author Affiliations
Yingchao Xiao, State Key Lab. of Air Traffic Management System and Technology (China)
Yuanyuan Ma, State Key Lab. of Air Traffic Management System and Technology (China)
Hui Ding, State Key Lab. of Air Traffic Management System and Technology (China)
Qiucheng Xu, State Key Lab. of Air Traffic Management System and Technology (China)


Published in SPIE Proceedings Vol. 11198:
Fourth International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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