Descripción del proyecto
Reinvención de la modelización del rendimiento de la gestión del tráfico aéreo
En los últimos años, se ha planteado la cuestión de cómo evaluar el impacto en el rendimiento de las nuevas tecnologías a nivel de sistema en la gestión del tráfico aéreo (GTA). El objetivo del proyecto NOSTROMO, financiado con fondos europeos, es concebir nuevos métodos para la modelización del rendimiento de la GTA al combinar la transparencia del modelo, la trazabilidad computacional y la facilidad de uso. En primer lugar, el proyecto desarrollará una metodología para crear metamodelos de rendimiento de la GTA. Seguidamente, esta metodología de metamodelización se desarrollará gracias a metamodelos de código abierto basados en herramientas de microsimulación capaces de reproducir el rendimiento de la GTA a nivel de la Conferencia Europea de Aviación Civil (CEAC). Por último, se desarrollará un conjunto de herramientas de visualización y análisis visual. Los resultados del proyecto se evaluarán para promover su aplicación ulterior.
Objetivo
The ATM system is composed of a myriad of elements that interact with each other generating a number of properties characteristic of complex adaptive systems, which make the ATM system intrinsically difficult to model. One of the most challenging modelling problems is the assessment of the performance impact of new solutions at a system-wide level, which has been a long-time objective of the ATM research community.
NOSTROMO project aims to develop new approaches to ATM performance modelling able to reconcile model transparency, computational tractability and ease of use with the necessary sophistication required for a realistic representation of the ATM system.
The main objectives of NOSTROMO are:
1. Develop a methodology for the construction of ATM performance metamodels that approximate the behaviour of computationally expensive simulation models to allow a systematic and efficient exploration of the model input-output space and a robust handling of the associated uncertainty, by exploiting the recent advances in the field of active learning;
2. Implement the proposed metamodelling methodology by developing Open-Source metamodels of different state-of-the-art microsimulation tools able to reproduce ATM performance at ECAC level;
3. Develop a set of visualisation and visual analytics tools that facilitate the analysis, interpretation and communication of the results of the new metamodels;
4. Demonstrate and evaluate the maturity of the NOSTROMO approach and the capabilities of the newly developed toolset through a set of case studies addressing the performance assessment of SESAR Solutions at ECAC level. They will cover a variety of ATM phases, solutions and KPAs/KPIs sufficiently heterogeneous to allow a comprehensive benchmarking against the performance modelling methodologies currently in use, to analyse the added value and the limitations of the NOSTROMO approach and evaluate the appropriateness of its transition to SESAR IR and improvement of the E-OCVM.
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RIA - Research and Innovation actionCoordinador
28022 Madrid
España