Modeling and Inferring Aircraft Takeoff Mass from Runway ADS-B Data

Junzi Sun; Joost Ellerbroek; Jacco Hoekstra

Modeling and Inferring Aircraft Takeoff Mass from Runway ADS-B Data

Junzi Sun, Joost Ellerbroek, Jacco Hoekstra

Control & Simulation

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Aircraft mass is an important parameter in many ways, either to build aircraft performance models, to predict flight trajectories, or to simulate air traffic. Mass data is usually considered as sensitive information for airlines and is, therefore, not disclosed to researchers publicly. In this paper, we use two methods to infer the mass of an aircraft at its takeoff phase. The first is by studying the kinetic model at lift-off moment. The second is to look at the motion of aircraft on the runway at each sample moment to estimate the mass recursively.

Original language	English
Title of host publication	7th International Conference on Research in Air Transportation
Subtitle of host publication	Philadelphia, USA
Editors	D. Lovell, H. Fricke
Number of pages	4
Publication status	Published - 2016
Event	7th International Conference on Research in Air Transportation - Drexel University, Philadelphia, United States Duration: 20 Jun 2016 → 24 Jun 2016 Conference number: 7 http://www.icrat.org/icrat/index.cfm http://www.icrat.org/icrat/7th-international-conference/

Conference

Conference	7th International Conference on Research in Air Transportation
Abbreviated title	ICRAT 2016
Country/Territory	United States
City	Philadelphia
Period	20/06/16 → 24/06/16
Internet address	http://www.icrat.org/icrat/index.cfm http://www.icrat.org/icrat/7th-international-conference/

Keywords

aircraft mass
performance modeling
weight estimation
BlueSky

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Sun, Ellerbroek, Hoekstra - 2016 - Modeling and Inferring Aircraft Takeoff Mass from Runway ADS-B DataAccepted author manuscript, 641 KB

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title = "Modeling and Inferring Aircraft Takeoff Mass from Runway ADS-B Data",

abstract = "Aircraft mass is an important parameter in many ways, either to build aircraft performance models, to predict flight trajectories, or to simulate air traffic. Mass data is usually considered as sensitive information for airlines and is, therefore, not disclosed to researchers publicly. In this paper, we use two methods to infer the mass of an aircraft at its takeoff phase. The first is by studying the kinetic model at lift-off moment. The second is to look at the motion of aircraft on the runway at each sample moment to estimate the mass recursively. ",

keywords = "aircraft mass, performance modeling, weight estimation, BlueSky",

author = "Junzi Sun and Joost Ellerbroek and Jacco Hoekstra",

year = "2016",

language = "English",

editor = "{ Lovell}, D. and H. Fricke",

booktitle = "7th International Conference on Research in Air Transportation",

note = "7th International Conference on Research in Air Transportation, ICRAT 2016 ; Conference date: 20-06-2016 Through 24-06-2016",

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AU - Sun, Junzi

AU - Ellerbroek, Joost

AU - Hoekstra, Jacco

N1 - Conference code: 7

PY - 2016

Y1 - 2016

N2 - Aircraft mass is an important parameter in many ways, either to build aircraft performance models, to predict flight trajectories, or to simulate air traffic. Mass data is usually considered as sensitive information for airlines and is, therefore, not disclosed to researchers publicly. In this paper, we use two methods to infer the mass of an aircraft at its takeoff phase. The first is by studying the kinetic model at lift-off moment. The second is to look at the motion of aircraft on the runway at each sample moment to estimate the mass recursively.

AB - Aircraft mass is an important parameter in many ways, either to build aircraft performance models, to predict flight trajectories, or to simulate air traffic. Mass data is usually considered as sensitive information for airlines and is, therefore, not disclosed to researchers publicly. In this paper, we use two methods to infer the mass of an aircraft at its takeoff phase. The first is by studying the kinetic model at lift-off moment. The second is to look at the motion of aircraft on the runway at each sample moment to estimate the mass recursively.

KW - aircraft mass

KW - performance modeling

KW - weight estimation

KW - BlueSky

UR - http://resolver.tudelft.nl/uuid:234f1650-d9bd-4985-a70e-2115ac9e5c95

M3 - Conference contribution

BT - 7th International Conference on Research in Air Transportation

A2 - Lovell, D.

A2 - Fricke, H.

T2 - 7th International Conference on Research in Air Transportation

Y2 - 20 June 2016 through 24 June 2016

ER -

Modeling and Inferring Aircraft Takeoff Mass from Runway ADS-B Data

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