Model development for supporting advanced risk-based approaches in air traffic management

Havinga, E.N. (2014) Model development for supporting advanced risk-based approaches in air traffic management.

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Abstract:A model is developed to support advanced risk-based approaches. The model uses statistical characteristics of occurrence data to support safety-assessment of LVNL. Poisson models are used to investigate the statistical characteristics. The characteristics are used to investigate feasibility of reference values, to identify factors which contribute to risk, and to identify relations between so-called severity classes. Two reference values (proposed by LVNL) are investigated for feasibility, of which one is shown to be feasible with large probability and the other is shown not to be feasible. Several case studies have been performed to find factors which contribute to increasing risk. A few (combinations of) factors are shown to be contributing to increasing risk for several settings and multiple extra case studies are proposed to be carried out. Relations between severity classes are determined and the probability functions for the ratio between (the number of occurrences in) severity classes are determined.
Item Type:Essay (Master)
Clients:
Air Traffic Control the Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics
Programme:Applied Mathematics MSc (60348)
Link to this item:http://purl.utwente.nl/essays/65002
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