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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.
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https://hal-enac.archives-ouvertes.fr/hal-02506640
Contributeur : Philippe Monmousseau Connectez-vous pour contacter le contributeur
Soumis le : jeudi 12 mars 2020 - 14:20:27
Dernière modification le : mercredi 3 novembre 2021 - 08:10:31
Archivage à long terme le : : samedi 13 juin 2020 - 15:45:00

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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⟩

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