Door-to-door air travel time analysis in the United States using uber data

Philippe Monmousseau, Daniel Delahaye, Aude Marzuoli, Eric Feron

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish (US)
Title of host publication2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781728153803
StatePublished - Feb 1 2020
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-18


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