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Title: Accessibility analysis of unmanned aerial vehicles near airports with a four-dimensional airspace management concept
Authors: Dai, Wei
Pang, Bizhao
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering
Issue Date: 2020
Source: Dai, W., Pang, B., & Low, K. H. (2020). Accessibility analysis of unmanned aerial vehicles near airports with a four-dimensional airspace management concept. Proceedings of the IEEE/AIAA 39th Digital Avionics Systems Conference (DASC 2020).
metadata.dc.contributor.conference: IEEE/AIAA 39th Digital Avionics Systems Conference (DASC 2020)
Abstract: The demand for UAS operations is increasing in recent years, as well as the traffic volume of civil aviation. The operations of both traffic modules are based on the utilization of airspace resources. Currently Unmanned Aircraft Systems (UAS) are not allowed to operate close to airports, where potential conflicts between UAS and manned aircraft may happen. This rule is constraining the application of UAS. Therefore, it is necessary to study the current airspace utilization pattern near airports, before the boundary determination of UAS operation to allow the UAS accessing airspace safely without conflicts. In this paper, a data-driven analysis on historical trajectories at Changi Airport in Singapore was carried out. Trajectory data have been clustered to recognize the utilization patterns of airspace. Discussions on the boundary of UAS operation were presented based on both current airspace utilization patterns and the estimated capacity. The airspace utilization was further modeled in an urban airspace management framework, and quantifiable area for potential UAS operation was analyzed. As this is the first research study to present the initial concept, more operational and other factors should be considered in the future study for the generation of potential boundary of UAS operations.
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Air Traffic Management Research Institute 
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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