bibliography.bib

@report{airbusGettingGripsAircraft2002,
  title = {Getting to {{Grips}} with {{Aircraft Performance}}},
  author = {Airbus},
  date = {2002-02},
  institution = {Airbus Flight Operations Support \& Line Assistance},
  url = {https://www.skybrary.aero/bookshelf/getting-grips-aircraft-performance-february-2002}
}

@inproceedings{astroturfing22,
  title = {Evading the {{Public Eye}}: {{On Astroturfing}} in {{Open Aviation Data}}},
  booktitle = {Proceedings of the 10th {{OpenSky Symposium}}},
  author = {Strohmeier, Martin and Olive, Xavier and Sun, Junzi},
  date = {2022-11},
  publisher = {MDPI},
  location = {Delft, The Netherlands},
  doi = {10.3390/engproc2022028007},
  url = {https://www.mdpi.com/2673-4591/28/1/7},
  urldate = {2022-12-19},
  eventtitle = {{{OpenSky Symposium}}},
  langid = {english}
}

@article{bartel2008,
  title = {Simplified Thrust and Fuel Consumption Models for Modern Two-Shaft Turbofan Engines},
  author = {Bartel, Matthias and Young, Trevor M.},
  date = {2008},
  journaltitle = {Journal of Aircraft},
  volume = {45},
  number = {4},
  pages = {1450--1456},
  doi = {10.2514/1.35589},
  url = {https://doi.org/10.2514/1.35589}
}

@inproceedings{bourgoisOpenDataAir2014,
  title = {Open {{Data}} for {{Air Transport Research}}: {{Dream}} or {{Reality}}?},
  shorttitle = {Open {{Data}} for {{Air Transport Research}}},
  booktitle = {Proceedings of {{The International Symposium}} on {{Open Collaboration}} - {{OpenSym}} '14},
  author = {Bourgois, Marc and Sfyroeras, Michael},
  date = {2014},
  pages = {1--7},
  publisher = {ACM Press},
  location = {Berlin, Germany},
  doi = {10.1145/2641580.2641602},
  url = {http://dl.acm.org/citation.cfm?doid=2641580.2641602},
  urldate = {2018-09-04},
  abstract = {The role of open data in air transport research is analyzed by means of a sample of over 300 research articles. The most used (or available) data types, their sources and their access policies are identified, both for the US and the EU. The analyses show that 70\% of research in air transport is heavily reliant on data, that 70\% of the data sources are curated by governmental bodies and that the US publicizes a wider set of sources, leading to wider usage. Areas for improving accessibility of (mainly European) data sources are outlined and alternative avenues to obtain data are sketched. The fact that Europe is lagging considerably in making its sources readily available to the research community means Europe missing out on entrepreneurship, innovation and scientific discovery, the presumed benefits of open data.},
  eventtitle = {The {{International Symposium}}},
  isbn = {978-1-4503-3016-9},
  langid = {english}
}

@book{capderou2014handbook,
  title = {Handbook of {{Satellite Orbits}}: {{From Kepler}} to {{GPS}}},
  shorttitle = {Handbook of {{Satellite Orbits}}},
  author = {Capderou, Michel},
  date = {2014},
  publisher = {Springer International Publishing},
  location = {Cham},
  doi = {10.1007/978-3-319-03416-4},
  url = {https://link.springer.com/10.1007/978-3-319-03416-4},
  urldate = {2023-03-14},
  isbn = {978-3-319-03415-7 978-3-319-03416-4},
  langid = {english}
}

@book{diston2009computational,
  title = {Computational Modelling and Simulation of Aircraft and the Environment},
  author = {Diston, Dominic J.},
  date = {2009},
  series = {Aerospace Series},
  publisher = {Wiley},
  location = {Chichester, U.K},
  isbn = {978-0-470-01840-8},
  keywords = {Aeronautics,Airplanes,Atmosphere,Computer simulation,Data processing,Gravitational fields,Navigation (Aeronautics),Performance Mathematical models,Spherical astronomy,Systems engineering Data processing},
  annotation = {OCLC: ocn313078089}
}

@online{eAIPs,
  title = {Electronic {{AIPs}} by {{Country}}},
  shorttitle = {{{LibGuides}}},
  author = {Bright, Tawny},
  url = {https://erau.libguides.com/uas/electronic-aips-country},
  urldate = {2024-11-17},
  langid = {english}
}

@mvbook{ecac/ecea16a,
  title = {Report on {{Standard Method}} of {{Computing Noise Contours}} around {{Civil Airports}}: {{Applications Guide}}},
  shorttitle = {{{ECAC-CEAC Doc}} 29 {{Vol}} 1},
  author = {{ECAC/ECEA}},
  date = {2016-12-07},
  edition = {4},
  volume = {1},
  url = {https://www.ecac-ceac.org/images/documents/ECAC-Doc_29_4th_edition_Dec_2016_Volume_1.pdf},
  volumes = {3}
}

@mvbook{ecac/ecea16b,
  title = {Report on {{Standard Method}} of {{Computing Noise Contours}} around {{Civil Airports}}: {{Technical Guide}}},
  shorttitle = {{{ECAC-CEAC Doc}} 29 {{Vol}} 3},
  author = {{ECAC/ECEA}},
  date = {2016-12-07},
  edition = {4},
  volume = {2},
  url = {https://www.ecac-ceac.org/images/documents/ECAC-Doc_29_4th_edition_Dec_2016_Volume_2.pdf},
  volumes = {3}
}

@mvbook{ecac/ecea16c,
  title = {Report on {{Standard Method}} of {{Computing Noise Contours}} around {{Civil Airports}}: {{Part}} 1 - {{Reference Cases}} and {{Verification Framework}}},
  shorttitle = {{{ECAC-CEAC Doc}} 29 {{Vol}} 2},
  author = {{ECAC/ECEA}},
  date = {2016-12-07},
  edition = {4},
  volume = {3},
  url = {https://www.ecac-ceac.org/images/documents/ECAC-Doc_29_4th_edition_Dec_2016_Volume_3_Part_1.pdf},
  volumes = {3}
}

@report{flarm_manual,
  title = {{{PowerFLARM Fusion User}} and {{Maintenance Manual}}},
  author = {FLARM~Technology},
  date = {2021},
  url = {https://flarm.com/wp-content/uploads/man/FTD-078-PowerFLARM-Fusion-User-and-Maintenance-Manual.pdf}
}

@patent{flarm_patent,
  title = {Device for Improving the Security of Aircraft in Visual Flight Regime},
  author = {Le Tallec, Claude and Gravier, Boris},
  date = {2000-01-13},
  number = {WO 00/02176},
  url = {https://patents.google.com/patent/WO2000002176A1/en}
}

@book{ggplot2,
  title = {Ggplot2: {{Elegant Graphics}} for {{Data Analysis}}},
  author = {Wickham, Hadley and Navarro, Danielle and Pedersen, Thomas Lin},
  date = {2022},
  edition = {Third (under work)},
  publisher = {Springer-Verlag New York},
  url = {https://ggplot2-book.org/}
}

@book{icao-convention,
  title = {Convention on {{International Civil Aviation}}},
  shorttitle = {Doc 7300/9},
  author = {{ICAO}},
  date = {2006},
  edition = {9},
  url = {https://www.icao.int/publications/pages/doc7300.aspx},
  urldate = {2024-11-17}
}

@article{michel_pia_2021,
  title = {Flying in {{Private Mode}}: {{Understanding}} and {{Improving}} the {{Privacy ICAO Address Program}}},
  shorttitle = {Flying in {{Private Mode}}},
  author = {Michel, Guillaume and Strohmeier, Martin},
  date = {2021-05-10},
  journaltitle = {Journal of Aerospace Information Systems},
  shortjournal = {Journal of Aerospace Information Systems},
  pages = {1--9},
  issn = {2327-3097},
  doi = {10.2514/1.I010938},
  url = {https://arc.aiaa.org/doi/10.2514/1.I010938},
  urldate = {2021-05-13},
  langid = {english}
}

@report{niarchakou_simonselva17,
  title = {{{ATFCM Operations Manual}}},
  shorttitle = {Network {{Operations Manual}}},
  author = {Niarchakou, S. and Simón Selva, J.},
  date = {2017-05-03},
  number = {21.0},
  institution = {Network Manager, EUROCONTROL},
  url = {http://bit.ly/2zvRCSG},
  abstract = {The ATFCM Operations Manual is intended to provide Flow Management Positions (FMPs) and EUROCONTROL’s Network Manager (NM) with common understanding of their roles in delivering the most effective Air Traffic Flow and Capacity Management (ATFCM) services to Air Traffic Control (ATC) and Aircraft Operators (AOs).}
}

@article{nuic2010,
  title = {{{BADA}}: {{An}} Advanced Aircraft Performance Model for Present and Future {{ATM}} Systems},
  shorttitle = {{{BADA}}},
  author = {Nuic, Angela and Poles, Damir and Mouillet, Vincent},
  date = {2010-08-19},
  journaltitle = {Int. J. Adapt. Control Signal Process.},
  volume = {24},
  number = {10},
  pages = {850--866},
  issn = {08906327},
  doi = {10.1002/acs.1176},
  url = {http://doi.wiley.com/10.1002/acs.1176},
  urldate = {2020-02-14},
  abstract = {This paper gives an overview of Base of Aircraft Data (BADA), an Aircraft Performance Model developed and maintained by EUROCONTROL. BADA is based on a kinetic approach to aircraft performance modelling, which models aircraft forces. The intended use of BADA is trajectory simulation and prediction in Air Traffic Management (ATM) Research and Development and strategic planning in ground ATM operations. BADA is used for various ATM-related studies which require information on aircraft performances. The paper provides details on the existing BADA family 3 model and the latest achievements in the development of the new BADA family 4 model. Several examples of the applications of using BADA are provided, together with information on how to obtain access to BADA. Copyright q 2010 EUROCONTROL. All rights reserved.},
  langid = {english}
}

@article{olive19traffic,
  title = {Traffic, a Toolbox for Processing and Analysing Air Traffic Data},
  author = {Olive, Xavier},
  date = {2019-07-05},
  journaltitle = {Journal of Open Source Software},
  volume = {4},
  number = {39},
  pages = {1518},
  issn = {2475-9066},
  doi = {10.21105/joss.01518},
  url = {http://joss.theoj.org/papers/10.21105/joss.01518},
  urldate = {2019-07-07},
  keywords = {adsb,anomaly,atm,machine learning,visualisation}
}

@inproceedings{opensky19,
  title = {{{OpenSky Report}} 2019: {{Analysing TCAS}} in the {{Real World}} Using {{Big Data}}},
  booktitle = {Proceedings of the 38th {{IEEE}}/{{AIAA Digital Avionics Systems Conference}} ({{DASC}})},
  author = {Schafer, Matthias and Olive, Xavier and Strohmeier, Martin and Smith, Matthew and Martinovic, Ivan and Lenders, Vincent},
  date = {2019-09},
  location = {San Diego, CA},
  doi = {10.1109/DASC43569.2019.9081686},
  langid = {english},
  keywords = {adsb,tcas}
}

@inproceedings{opensky20,
  title = {{{OpenSky Report}} 2020: {{Analysing}} in-Flight Emergencies Using Big Data},
  booktitle = {Proceedings of the 39th {{IEEE}}/{{AIAA Digital Avionics Systems Conference}} ({{DASC}})},
  author = {Olive, Xavier and Tanner, Axel and Strohmeier, Martin and Schafer, Matthias and Feridun, Metin and Tart, Allan and Martinovic, Ivan and Lenders, Vincent},
  date = {2020},
  doi = {10.1109/DASC50938.2020.9256787},
  langid = {english},
  keywords = {adsb,anomaly,atm}
}

@inproceedings{opensky21,
  title = {{{OpenSky Report}} 2021: {{Insights}} on {{ADS-B Mandate}} and {{Fleet Deployment}} in {{Times}} of {{Crisis}}},
  booktitle = {Proceedings of the 40th {{IEEE}}/{{AIAA Digital Avionics Systems Conference}} ({{DASC}})},
  author = {Sun, Junzi and Olive, Xavier and Strohmeier, Martin and Schafer, Matthias and Martinovic, Ivan and Lenders, Vincent},
  date = {2021},
  location = {San Antonio, TX},
  doi = {10.1109/DASC52595.2021.9594361},
  langid = {english}
}

@article{poll_schumann_2021a,
  title = {An Estimation Method for the Fuel Burn and Other Performance Characteristics of Civil Transport Aircraft during Cruise: Part 2, Determining the Aircraft’s Characteristic Parameters},
  author = {Poll, D.I.A. and Schumann, U.},
  date = {2021},
  journaltitle = {The Aeronautical Journal},
  volume = {125},
  number = {1284},
  pages = {296--340},
  publisher = {Cambridge University Press},
  doi = {10.1017/aer.2020.124}
}

@article{poll_schumann_2021b,
  title = {An Estimation Method for the Fuel Burn and Other Performance Characteristics of Civil Transport Aircraft in the Cruise. {{Part}} 1 Fundamental Quantities and Governing Relations for a General Atmosphere},
  author = {Poll, D.I.A. and Schumann, U.},
  date = {2021},
  journaltitle = {The Aeronautical Journal},
  volume = {125},
  number = {1284},
  pages = {257--295},
  publisher = {Cambridge University Press},
  doi = {10.1017/aer.2020.62}
}

@book{r4ds,
  title = {R for Data Science},
  author = {Wickham, Hadley and Grolemund, Garrett},
  date = {2017},
  publisher = {O'Reilly Media},
  url = {https://r4ds.had.co.nz/},
  isbn = {978-1-4919-1039-9}
}

@article{satyanarayan_etal17,
  title = {Vega-Lite: {{A}} Grammar of Interactive Graphics},
  author = {Satyanarayan, Arvind and Moritz, Dominik and Wongsuphasawat, Kanit and Heer, Jeffrey},
  date = {2017},
  journaltitle = {IEEE transactions on visualization and computer graphics},
  volume = {23},
  number = {1},
  pages = {341--350},
  publisher = {IEEE}
}

@book{sun1090,
  title = {The 1090 {{Megahertz Riddle}}: {{A Guide}} to {{Decoding Mode S}} and {{ADS-B Signals}}},
  shorttitle = {The 1090 {{Megahertz Riddle}}},
  author = {Sun, Junzi},
  date = {2021},
  url = {https://mode-s.org/decode/},
  abstract = {In the last twenty years, aircraft surveillance has moved from controller-based interrogation to automatic broadcast. The Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the most common methods for aircraft to report their state information like identity, position, and speed. Like other Mode S communications, ADS-B makes use of the 1090 megahertz transponder to transmit data. The protocol for ADS-B is open, and low-cost receivers can easily be used to intercept its signals. Many recent air transportation studies have benefited from this open data source. However, the current literature does not offer a systematic exploration of Mode S and ADS-B data, nor does it explain the decoding process. This book tackles this missing area in the literature. It offers researchers, engineers, and enthusiasts a clear guide to understanding and making use of open ADS-B and Mode S data. The first part of this book presents the knowledge required to get started with decoding these signals. It includes background information on primary radar, secondary radar, Mode A/C, Mode S, and ADS-B, as well as the hardware and software setups necessary to gather radio signals. After that, the 17 core chapters of the book investigate the details of all types of ADS-B signals and commonly used Mode S signals. Throughout these chapters, examples and sample Python code are used extensively to explain and demonstrate the decoding process. Finally, the last chapter of the book offers a summary and a brief overview of research topics that go beyond the decoding of these signals},
  isbn = {978-94-6366-402-8},
  langid = {english},
  annotation = {OCLC: 1286298440}
}

@article{sun2019pymodes,
  title = {Pymodes: {{Decoding}} Mode s Surveillance Data for Open Air Transportation Research},
  author = {Sun, Junzi and Vû, Huy and Ellerbroek, Joost and Hoekstra, Jacco M},
  date = {2019},
  journaltitle = {IEEE Transactions on Intelligent Transportation Systems},
  publisher = {IEEE},
  doi = {10.1109/TITS.2019.2914770},
  pdf = {pymodes.pdf}
}

@book{sun2019thesis,
  title = {Open Aircraft Performance Modeling: Based on an Analysis of Aircraft Surveillance Data},
  author = {Sun, Junzi},
  date = {2019},
  publisher = {TU Delft},
  doi = {10.4233/uuid:af94d535-1853-4a6c-8b3f-77c98a52346a},
  url = {https://doi.org/10.4233/uuid:af94d535-1853-4a6c-8b3f-77c98a52346a}
}

@article{sun2019wrap,
  title = {{{WRAP}}: {{An}} Open-Source Kinematic Aircraft Performance Model},
  author = {Sun, Junzi and Ellerbroek, Joost and Hoekstra, Jacco},
  date = {2019-01},
  journaltitle = {Transportation Research Part C: Emerging Technologies},
  volume = {98},
  pages = {118--138},
  publisher = {Elsevier},
  doi = {10.1016/j.trc.2018.11.009},
  tag = {perf}
}

@article{sun2020openap,
  title = {{{OpenAP}}: {{An}} Open-Source Aircraft Performance Model for Air Transportation Studies and Simulations},
  author = {Sun, Junzi and Hoekstra, Jacco and Ellerbroek, Joost},
  date = {2020-07},
  journaltitle = {Aerospace},
  volume = {7},
  number = {8},
  pages = {104},
  publisher = {Multidisciplinary Digital Publishing Institute},
  doi = {10.3390/aerospace7080104},
  tag = {perf}
}

@inproceedings{sun20capab,
  title = {Mode {{S Transponder Comm-B Capabilities}} in {{Current Operational Aircraft}}},
  booktitle = {Proceedings of the 8th {{OpenSky Symposium}}},
  author = {Sun, Junzi and Vû, Huy and Olive, Xavier and Hoekstra, Jacco},
  date = {2020-11},
  doi = {10.3390/proceedings2020059004},
  url = {https://www.mdpi.com/2504-3900/59/1/4},
  urldate = {2021-04-09},
  eventtitle = {{{OpenSky Symposium}}},
  langid = {english}
}

@online{traffic,
  title = {Traffic Library Documentation},
  url = {https://traffic-viz.github.io/},
  urldate = {2022-12-04}
}

@article{vanderplas_etal18,
  title = {Altair: {{Interactive}} Statistical Visualizations for Python},
  author = {VanderPlas, Jacob and Granger, Brian and Heer, Jeffrey and Moritz, Dominik and Wongsuphasawat, Kanit and Satyanarayan, Arvind and Lees, Eitan and Timofeev, Ilia and Welsh, Ben and Sievert, Scott},
  date = {2018},
  journaltitle = {Journal of Open Source Software},
  volume = {3},
  number = {32},
  pages = {1057},
  publisher = {The Open Journal},
  doi = {10.21105/joss.01057},
  url = {https://doi.org/10.21105/joss.01057}
}

@article{wickham10,
  title = {A Layered Grammar of Graphics},
  author = {Wickham, Hadley},
  date = {2010},
  journaltitle = {Journal of Computational and Graphical Statistics},
  shortjournal = {Journal of Computational and Graphical Statistics},
  volume = {19},
  number = {1},
  pages = {3--28-3--28},
  doi = {10.1198/jcgs.2009.07098}
}

@article{wickham14,
  title = {Tidy {{Data}}},
  author = {Wickham, Hadley},
  date = {2014-09},
  journaltitle = {Journal of Statistical Software},
  shortjournal = {Journal of Statistical Software},
  volume = {59},
  number = {10},
  pages = {23--23},
  url = {http://www.jstatsoft.org/v59/i10},
  abstract = {A huge amount of effort is spent cleaning data to get it ready for analysis, but there has been little research on how to make data cleaning as easy and effective as possible. This paper tackles a small, but important, component of data cleaning: data tidying. Tidy datasets are easy to manipulate, model and visualize, and have a specific structure: each variable is a column, each observation is a row, and each type of observational unit is a table. This framework makes it easy to tidy messy datasets because only a small set of tools are needed to deal with a wide range of un-tidy datasets. This structure also makes it easier to develop tidy tools for data analysis, tools that both input and output tidy datasets. The advantages of a consistent data structure and matching tools are demonstrated with a case study free from mundane data manipulation chores.},
  keywords = {data cleaning,data tidying,R,relational databases}
}

@book{wilkinson05,
  title = {The {{Grammar}} of {{Graphics}}},
  author = {Wilkinson, Leland},
  date = {2005},
  series = {Statistics and {{Computing}}},
  edition = {2},
  publisher = {Springer-Verlag New York, Inc.},
  doi = {10.1007/0-387-28695-0},
  abstract = {This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics.},
  isbn = {978-1-4419-2033-1},
  pagetotal = {XVIII, 691}
}

@book{LawSeaPolicy2017,
  title = {Law of the {{Sea}}: {{A Policy Primer}}},
  author = {{LL.M. in International Law Program}},
  date = {2017},
  publisher = {{The Fletcher School of Law and Diplomacy, Tufts University}},
  location = {160 Packard Avenue Medford, Massachusetts 02155}
}