Door-to-door Travel Time Analysis from Paris to London and Amsterdam using Uber Data

Philippe Monmousseau (1) , Daniel Delahaye (1) , Aude Marzuoli (2) , Eric Féron (2)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 Georgia Institute of Technology [Atlanta]

SESAR Flightpath 2050 sets some ambitious goals for air travel, specifically regarding door-to-door travel times. Using Uber data, a reliable estimation of door-to-door travel times is possible which then enables a comparison of different travel modes such as rail and air. This model of the full door-to-door travel time for multi modal trips can also be used to evaluate where Europe stands with respect to SESAR's goals and how they should try to address the related difficulties.

Mots clés: Door-to-door travel times; Big Data; Multi-modal travel

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]

Philippe Monmousseau, Daniel Delahaye, Aude Marzuoli, Eric Féron. Door-to-door Travel Time Analysis from Paris to London and Amsterdam using Uber Data. SID 2019, 9th SESAR Innovation Days, Dec 2019, Athenes, Greece. ⟨hal-02388296⟩