A new GIS database documenting the prevalence of U.S. air service development incentives

Rex, Justin; Ballard, David J.; Garrow, Laurie A.; Mills, Richard; Weingart, David

doi:10.1016/j.jairtraman.2021.102148

Cited by 3 publications

(2 citation statements)

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“…Similarly, the deformation rate of the grid volume was expressed by Equation (11), the grid scale of the airspace at mark j is set to σ j , and the standard volume under the 300 m height layer is set to σ norm , which is the standard block volume calculated by the grid scale of the seventh level of GeoSOT-AS standard, and the deformation rate of the grid volume is expressed by Equation ( 11):…”

Section: Geosot-as Shape Change Law Analysis Testmentioning

confidence: 99%

“…For example, a new compressed indexing method for managing ADS-B data has been proposed in the literature [9], the basic building blocks of which are spatiotemporal reference partitioning, reordering, and compression. Similarly, there is a compressed storage method for 4D air traffic trajectories [10], as well as the development of an airport navigation service database based on GIS tools, and other notable methods [11]. Under such conditions, ATC flight data exists only in corresponding file databases with their own file management methods, which do not co-align with actual airspace, and cannot quickly respond to the immediate availability of ATC data within a target area.…”

Section: Introductionmentioning

confidence: 99%

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A Method for Managing ADS-B Data Based on a 4D Airspace-Temporal Grid (GeoSOT-AS)

Deng

Cheng

et al. 2023

Aerospace

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With the exponential increase in the volume of automatic dependent surveillance-broadcast (ADS-B), and other types of air traffic control (ATC) data containing spatiotemporal attributes, it remains uncertain how to respond to immediate ATC data access within a target area. Accordingly, an original multi-level disaggregated framework for airspace, and its corresponding information management is proposed. Further, a multi-scale grid modeling and coding mapping method of airspace information represented by ADS-B is put forth. Finally, tests on the validity of the 4D airspace-temporal grid we named as the GeoSOT-AS framework were conducted across key areas based on the development of an effective data organization method for ADS-B, or an effective algorithm for extracting relevant spatiotemporal data. Experimentally, it was demonstrated that GeoSOT-AS conforms to the existing Chinese specification of civil aeronautical charting and is advantageous for its low deformation and high practicality; furthermore, the airspace grid identification code modeling was less costly, and improved performance by >80% when used for ADS-B data extraction. GeoSOT-AS can thus provide effective reference and practical information for existing airspace data management methods represented by ADS-B and can subsequently be extended to other forms of airspace management scenarios.

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Section: Geosot-as Shape Change Law Analysis Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%