TY - JOUR
T1 - Compilation of an open-source traffic and CO2 emissions dataset for commercial aviation
AU - Salgas, A.
AU - Sun, Junzi
AU - Delbecq, Scott
AU - Planès, Thomas
AU - Lafforgue, Gilles
N1 - Conference code: 11
PY - 2024
Y1 - 2024
N2 - The study of the environmental transition of the aviation sector calls for prospective traffic scenarios. Detailed traffic and emissions inventories are often needed to refine the available analyses and to enable the simulation of regionalised scenarios. In the past studies, these are generally based on commercial, proprietary traffic data, making their dissemination problematic and reducing the reproducibility of the science produced. Open-source alternatives do exist, but with limited geographical coverage. This paper presents a method to aggregate different sources of flight information, in order to obtain an open-source air traffic dataset for 2019. Then, missing flight information is identified and completed using an airline route database built from Wikipedia parsing and related socio-economic data. After that, several reference datasets are used to evaluate the accuracy of the extended open-source dataset. Despite varying accuracy for different routes, major traffic flows are reasonably well estimated at the country and continental levels. Finally, the CO2 emissions are obtained using an existing aircraft performance surrogate model, and the accuracies are examined compared to the results from previous studies.
AB - The study of the environmental transition of the aviation sector calls for prospective traffic scenarios. Detailed traffic and emissions inventories are often needed to refine the available analyses and to enable the simulation of regionalised scenarios. In the past studies, these are generally based on commercial, proprietary traffic data, making their dissemination problematic and reducing the reproducibility of the science produced. Open-source alternatives do exist, but with limited geographical coverage. This paper presents a method to aggregate different sources of flight information, in order to obtain an open-source air traffic dataset for 2019. Then, missing flight information is identified and completed using an airline route database built from Wikipedia parsing and related socio-economic data. After that, several reference datasets are used to evaluate the accuracy of the extended open-source dataset. Despite varying accuracy for different routes, major traffic flows are reasonably well estimated at the country and continental levels. Finally, the CO2 emissions are obtained using an existing aircraft performance surrogate model, and the accuracies are examined compared to the results from previous studies.
KW - Open-data
KW - Emissions
KW - Air Traffic
U2 - 10.59490/joas.2023.7201
DO - 10.59490/joas.2023.7201
M3 - Article
SN - 2773-1626
VL - 1
JO - Journal of Open Aviation Science
JF - Journal of Open Aviation Science
T2 - 11th OpenSky Symposium 2023
Y2 - 30 October 2023 through 31 October 2023
ER -