Observatorio de I+D+i UPM

Memorias de investigación
Tesis:
DEVELOPMENT OF A 3-DIMENSIONAL MATHEMATICAL COLLISION RISK MODEL BASED ON RECORDED AIRCRAFT TRAJECTORIES TO ESTIMATE THE SAFETY LEVEL IN HIGH DENSITY EN-ROUTE AIRSPACES
Año:2013
Áreas de investigación
  • Sistema de comunicación,
  • Ingeniería mecánica, aeronaútica y naval,
  • Ingeniería aeronaútica,
  • Operación aérea,
  • Control del tráfico aéreo,
  • Gestión del tráfico aéreo,
  • Sistemas de embarque aéreo
Datos
Descripción
As with all forms of transport, the safety of air travel is of paramount importance. With the projected increases in European air traffic in the next decade and beyond, it is clear that the risk of accidents needs to be assessed and carefully monitored on a continuing basis. The present thesis is aimed at the development of a comprehensive collision risk model as a method of assessing the European en-route risk, due to all causes and across all dimensions within the airspace. The major constraint in developing appropriate monitoring methodologies and tools to assess the level of safety in en-route airspaces where controllers monitor air traffic by means of radar surveillance and provide aircraft with tactical instructions lies in the estimation of the operational risk. The operational risk estimate normally relies on incident reports provided by the air navigation service providers (ANSPs). This thesis proposes a new and innovative approach to assessing aircraft safety level based exclusively upon the process and analysis of radar tracks. The proposed methodology has been designed to complement the information collected in the accident and incident databases, thereby providing robust information on air traffic factors and safety metrics inferred from the in depth assessment of proximate events. The 3-D CRM methodology is implemented in a prototype tool in MATLAB © in order to automatically analyze recorded aircraft tracks and flight plan data from the Radar Data Processing systems (RDP) and identify and analyze all proximate events (conflicts, potential conflicts and potential collisions) within a time span and a given volume of airspace. An additional aim of this research is to show how in-depth analysis of radar data provides robust information on air traffic factors and safety metrics. Currently, the 3D-CRM prototype is been adapted and integrated in AENA?S Performance Monitoring Tool (PERSEO) to complement the information provided by the ATM accident and incident databases and to enhance monitoring and providing evidence of levels of safety.
Internacional
No
ISBN
Tipo de Tesis
Doctoral
Calificación
Aprobado
Fecha
01/07/2013
Esta actividad pertenece a memorias de investigación
Participantes
  • Director: Fco. Javier Saez Nieto (UPM)
  • Autor: Eduardo Jose Garcia Gonzalez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Navegación Aérea
  • Departamento: Infraestructura, Sistemas Aeroespaciales y Aeropuertos
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