This paper presents results from the SESAR ER3 Domino project. It focuses on an ECAC-wide assessment of two 4D-adjustment mechanisms, implemented separately and conjointly. These reflect flight behaviour en-route and at-gate, optimising given (cost) objective functions. New metrics designed to capture network effects are used to analyse the results of a microscopic, agent-based model. The results show that some implementations of the mechanisms allow the protection of the network from ‘domino’ effects. Airlines focusing on costs may trigger additional side-effects on passengers, displaying, in some instances, clear trade-offs between passenger- and flight-centric metrics.

Network-wide assessment of 4D trajectory adjustments using an agent-based model

Piero Mazzarisi;Fabrizio Lillo;
2019

Abstract

This paper presents results from the SESAR ER3 Domino project. It focuses on an ECAC-wide assessment of two 4D-adjustment mechanisms, implemented separately and conjointly. These reflect flight behaviour en-route and at-gate, optimising given (cost) objective functions. New metrics designed to capture network effects are used to analyse the results of a microscopic, agent-based model. The results show that some implementations of the mechanisms allow the protection of the network from ‘domino’ effects. Airlines focusing on costs may trigger additional side-effects on passengers, displaying, in some instances, clear trade-offs between passenger- and flight-centric metrics.
2019
SESAR Innovation Days 2019
Atene (Grecia)
02 - 06 Dicembre 2019
Proceedings of SESAR Innovation Days 2019
Air Traffic Management; Networks; Agent Based Models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/83606
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