2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-At) 2020
DOI: 10.1109/aida-at48540.2020.9049212
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Analysis of airport ground operations based on ADS-B data

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Cited by 16 publications
(6 citation statements)
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“…Likewise, the observation of ‘queuing’ behaviour during which the ground manoeuvre sequence alternates between straight taxi and braking manoeuvres was demonstrated based on the sequencing results from the ADS-B data. Such observations are supported by other recent research work by Schultz et al, which also highlighted that operational impacts whilst aircraft are on the ground can be observed within ADS-B datasets (47) . It is hoped that manoeuvre occurrence and sequencing statistics generated from ADS-B data files could be used to support future design programs along with providing guidance when determining the best practice for constructing landing gear load spectra for fatigue design and analysis (48) .…”
Section: Discussionsupporting
confidence: 84%
“…Likewise, the observation of ‘queuing’ behaviour during which the ground manoeuvre sequence alternates between straight taxi and braking manoeuvres was demonstrated based on the sequencing results from the ADS-B data. Such observations are supported by other recent research work by Schultz et al, which also highlighted that operational impacts whilst aircraft are on the ground can be observed within ADS-B datasets (47) . It is hoped that manoeuvre occurrence and sequencing statistics generated from ADS-B data files could be used to support future design programs along with providing guidance when determining the best practice for constructing landing gear load spectra for fatigue design and analysis (48) .…”
Section: Discussionsupporting
confidence: 84%
“…In terms of assessing collision risk, trajectory estimation and propagation are the basis [31][32][33]. In the U-M encounter, the raw trajectory data of the manned aircraft can be obtained from air traffic control automation systems, such as ADS-B and radars [34][35][36]. For UAVs, there are two surveillance modes, cooperative UAVs and noncooperative UAVs [37] according to the information shared.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This metric is for common points of direct routes and links from or to cluster centers. In the first case, the angle between both lines can be calculated directly as 𝑤(∡(𝑙 𝑖 1 , 𝑙 𝑖 2 )). In the second case, the common point is the cluster center and a route segment moving through this cluster center is not necessarily a straight line but may consist of any sequence of links connected to 𝑐.…”
Section: Structural Complexity Of the Networkmentioning
confidence: 99%
“…The latter results in route changes over time and takes advantage of a dynamically adapting route network. Furthermore, the approach presented here can be applied also to generate a route network for surface traffic of vehicles on airports [1].…”
Section: Introductionmentioning
confidence: 99%