Skip to Main content Skip to Navigation
Conference papers

Door-to-door Air Travel Time Analysis in the United States using Uber Data

Abstract : NextGen and ACARE Flightpath 2050 set some ambitious goals for air travel, including improving the passenger travel experience using door-to-door travel times as a possible metric. Using recently released Uber data along with other online databases, a reliable estimation of door-to-door travel times is possible, which then enables a comparison of cities performance regarding the good integration of their airports as well as a per segment analysis of the full trip. This model can also be used to better evaluate where progress should and can be made with respect to air passenger travel experience.
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download
Contributor : Philippe Monmousseau Connect in order to contact the contributor
Submitted on : Thursday, March 12, 2020 - 2:20:27 PM
Last modification on : Wednesday, November 3, 2021 - 8:10:31 AM
Long-term archiving on: : Saturday, June 13, 2020 - 3:45:00 PM


Files produced by the author(s)




Philippe Monmousseau, Daniel Delahaye, Aude Marzuoli, Eric Féron. Door-to-door Air Travel Time Analysis in the United States using Uber Data. AIDA-AT 2020, 1st International Conference on Artificial Intelligence and Data Analytics for Air Transportation, Feb 2020, Singapore, Singapore. ⟨10.1109/AIDA-AT48540.2020.9049179⟩. ⟨hal-02506640⟩



Les métriques sont temporairement indisponibles