START
Financiado
a Stable and resilient ATM by integrating Robust airline operations into the n...
One of the key enablers of Trajectory Based Operations (TBO) is the automated updating of trajectories in reaction to developing uncertainties. However, a high frequency of updates and modifications leads to degraded system stabil...
One of the key enablers of Trajectory Based Operations (TBO) is the automated updating of trajectories in reaction to developing uncertainties. However, a high frequency of updates and modifications leads to degraded system stability. The overall goal of START (a Stable and resilienT ATM by integrAting Robust airline operations into the neTwork) is to develop, implement, and validate optimisation algorithms for robust airline operations that result in stable and resilient ATM performance even in disturbed scenarios.
START’s goal shall be reached by a suitable combination of methods from applied mathematics, i.e.: mathematical optimisation, optimisation under uncertainty, Artificial Intelligence (AI) and data science, as well as algorithm design. Furthermore, insight into the uncertainties relevant in TBO systems will be gained through simulations. The main focus of the project is the optimization of conventional traffic situations while considering disruptive weather events such as thunderstorms. Specific goals include:
1. To model uncertainties at the micro (trajectory) level, assimilate observations (via ADSB/Radar) every 15 min and propagate trajectory uncertainties using assimilated models and a stochastic trajectory predictor.
2. To model uncertainties at the macro (ATM network) level, assimilate observations (satellite data for storm, and network status) every 15 min., and propagate ATM network uncertainties using the assimilated models.
3. To develop an Artificial Intelligence (AI) algorithm capable of generating a set of pan-European (i.e., considering the whole traffic over Europe) robust trajectories that make the European ATM system resilient when facing these relevant validate ties.
4. To implement those algorithms as an advanced fight dispatching demo functionality for airspace users to obtain robust trajectories.
5. To validate these concepts through system-wide simulation procedures in order to evaluate their stability.
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Duración del proyecto: 31 meses
Fecha Inicio: 2020-03-23
Fecha Fin: 2022-10-31
Fecha Fin: 2022-10-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-10-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
SESAR-ER4-15-2019:
Increased Levels of Automation for the ATM Network
Cerrada
hace 5 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
UNIVERSIDAD CARLOS III DE MADRID
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
1332
Total investigadores
1332
231.88K€ |
Participante