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Author:

Zhang, Defu (Zhang, Defu.) | Chen, Yangzhou (Chen, Yangzhou.) (Scholars:陈阳舟)

Indexed by:

EI Scopus

Abstract:

A method for airspace sectorization is developed based on initial airspace configuration. The method begins with identifying Traffic Mass (TM) situations in all sectors ahead of time, especially for the sectors that exceeds the defined controller capability to manage (called overloaded sectors) as well as for those that are under-utilized (called under-utilized sectors). Then, for the overloaded sectors, the method implements the removal of excessive Traffic Mass by moving sector boundaries from the sector with low TM to the overloaded sector in conjunction with a diffusion algorithm. Alternatively, for the under-utilized sectors, they can be combined with their neighbors using General-Clustering-Algorithm. The simulation demonstrates that the method not only removes excessive TM but also improves efficiency. More importantly, the designed sectors which follow the candidate boundary strategy reduce controller's cognitive difficulty, this helps to keep controllers in as much clear-headed situation as possible to ensure flight safety. © 2018 Technical Committee on Control Theory, Chinese Association of Automation.

Keyword:

Air transportation Clustering algorithms Controllers Air traffic control

Author Community:

  • [ 1 ] [Zhang, Defu]Shandong Polytechnic, Department of Electrical Engineering, Shandong; 250104, China
  • [ 2 ] [Chen, Yangzhou]Beijing University of Technology, College of Metropolitan Transportation, 100124, China

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Source :

ISSN: 1934-1768

Year: 2018

Volume: 2018-July

Page: 4609-4614

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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