Observatorio de I+D+i UPM

Memorias de investigación
Thesis:
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
Year:2013
Research Areas
  • Communications systems,
  • Mechanical aeronautics and naval engineering,
  • Aeronautical engineering,
  • Aircraft operation,
  • Air traffic control,
  • Air traffic management,
  • On board aircraft systems
Information
Abstract
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.
International
No
Type
Doctoral
Mark Rating
Aprobado
Date
01/07/2013
Participants
  • Director: Fco. Javier Saez Nieto (UPM)
  • Autor: Eduardo Jose Garcia Gonzalez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Navegación Aérea
  • Departamento: Infraestructura, Sistemas Aeroespaciales y Aeropuertos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)