Memorias de investigación
CRM model to estimate probability of potential collision for aircraft encounters in high density scenarios using stored data tracks.

Research Areas
  • Human factors in aeronautics,
  • Aircraft operation,
  • Air transport

The current Air Traffic Management (ATM) Systems need to develop their usinesses and strengthen their value chain as a whole to be able to cope with the expected growth in air traffic. Today?s ATM processes are not sufficiently geared, or flexible, to maintain the schedules of the airspace users. It has been broadly recognized that the future ATM capacity and safety bjectives can only be achieved by an intense enhancement of integrated automation support. To ensure overall performance of ATM system, the high-level automation principles described in this study are to serve as a guide for its development. The main objective pursued by the ?research? into ?Higher Automation Levels in ATM? is to explore unconventional and high risk areas, involving new technologies and concepts around the theme ?Toward higher levels of automation? in future Air Traffic Management Systems. This study aims to provide basic and applied research that will be required to bring the ATM System into the high degrees of automation required by NextGen and SESAR and beyond, up to and including full automation. At the same time, this research also seeks to apply existing methodologies and techniques in new ways, potentially applying scientific disciplines that have not previously been brought to bear in the air traffic domains
Entity Nationality
Sin nacionalidad
San Francisco, EEUU
  • Autor: Eduardo Jose Garcia Gonzalez UPM

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Navegación Aérea
  • Departamento: Infraestructura, Sistemas Aeroespaciales y Aeropuertos