Defining means to assess safety performance and delve into their causes is one of the current and future challenges of the air transport sector. This paper aims to carry out a statistical model of the Air Traffic Management (ATM) Safety Events to predict safety performances, combining in a Monte Carlo simulation the results emerged from the literature analysis with the analytical models of historic data interpretation. Through the analysis of the possible scenarios, assessing their impact on equipment, procedures and human factor, this model will address the interventions of the decision maker.
Forecasting overall safety performance of air traffic management system / Patriarca, Riccardo. - (2014). (Intervento presentato al convegno 10th Pegasus AIAA Student Conference tenutosi a Prague (Czech Republic)).
Forecasting overall safety performance of air traffic management system
Riccardo Patriarca
2014
Abstract
Defining means to assess safety performance and delve into their causes is one of the current and future challenges of the air transport sector. This paper aims to carry out a statistical model of the Air Traffic Management (ATM) Safety Events to predict safety performances, combining in a Monte Carlo simulation the results emerged from the literature analysis with the analytical models of historic data interpretation. Through the analysis of the possible scenarios, assessing their impact on equipment, procedures and human factor, this model will address the interventions of the decision maker.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
