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A Comparative Analysis of Departure Metering at Paris (CDG) and Charlotte (CLT) Airports

Authors :
Badrinath, Sandeep
Balakrishnan, Hamsa
Ma, Ji
Delahaye, Daniel
Massachusetts Institute of Technology (MIT)
Ecole Nationale de l'Aviation Civile (ENAC)
ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019)
Porte, Laurence
Artificial and Natural Intelligence Toulouse Institute - - ANITI2019 - ANR-19-P3IA-0004 - P3IA - VALID
Source :
ATM Seminar 2019, 13th USA/Europe ATM R&D Seminar, ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; Departure metering has the potential to mitigate airport surface congestion and decrease flight delays. This paper considers several candidate departure metering techniques, including a trajectory-based optimization approach using a node-link model and three aggregate queue-based approaches (a scheduler based on NASA's ATD-2 logic, an optimal control approach, and a robust control approach). The outcomes of these different approaches are compared for two major airports: Paris Charles De Gaulle airport (CDG) in Europe and Char-lotte Douglas International airport (CLT) in the United States. Stochastic simulations are used to show that the robust control approach best accommodates operational uncertainties, while all the approaches considered yield higher taxi-out time savings at CLT compared to CDG.

Details

Language :
English
Database :
OpenAIRE
Journal :
ATM Seminar 2019, 13th USA/Europe ATM R&D Seminar, ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria
Accession number :
edsair.dedup.wf.001..b9c4181f14ca0a556d552af417a68f71