Overall safety performance of Air Traffic Management system: Forecasting and monitoring (original) (raw)

Overall safety performance of the air traffic management system: Indicators and analysis

Defining means to assess safety performance and delve into their causes is one of the current and future challenges of the ATM sector. Following the experiences of the Aerospace Performance Factor by FAA and EUROCONTROL, this research aims to apply the Analytic Hierarchy Process (AHP) in order to build synthetic and user-friendly safety-related indicators. Through the analysis and combination of the safety events over time (accidents, incidents and issues), this model will pinpoint critical situations and will address the interventions of the decision makers.

An Analytic Hierarchical Approach to Building Airline Safety Management Systems

Erzincan University Journal of Science and Technology, 2016

The airline literature has attracted considerable attention of scholars and significant modelling and empirical reports have been contributed. However, despite being significantly agitated in the recent past in view of unprecedented airline failures, the Nigerian airline industry is least studied. The safety management system (SMS) meant to be a constant measuring tool has been downplayed in research concerning this country’s airline system. To correct this anomaly, this study takes a frontline empirical initiative to prioritize the safety management system components and elements which hitherto has been very challenging and currently being approached by intuition. In this paper, the collective wisdom of experts is integrated into a framework of the analytical hierarchy process (AHP) wherein experienced professionals’ ideas are obtained through questionnaire administration and interviews. The AHP methodology is a classical, merit-driven and validated approach in decision making and ...

The Method of Proactive Risk Assessment for Flight Safety Based on the Rate of Dangerous Events

2020

This publication is devoted to the issues of risk assessment in the safety management system of military aviation. The method of proactive assessment of risks to flight safety based on the number of dangerous events, which is based on correlation-regression analysis, provides an opportunity to predict the conditions that contribute to the occurrence of accidents. Studies conducted with this method have confirmed the dependence of the number of aviation accidents and serious incidents on incidents recorded for different groups of reasons, as well as on the intensity of flight activities. The obtained results can provide initial data for quantitative risk assessment in the safety management system of military aviation. The implementation of such an approach is appropriate in safety management systems in the transition phase from active to proactive approaches, until a sufficient information database on hazards is accumulated.

Evaluation of air traffic management procedures—safety assessment in an experimental environment

Reliability Engineering & System Safety, 2005

This paper presents and discusses the application of safety assessment methodologies to a pre-operational project in the Air Traffic Control field. In the case analysed in the present paper a peculiar aspect was the necessity to effectively assess new operational procedures and tools. In particular we exploited an integrated methodology to evaluate computer-based applications and their interactions with the operational environment. Current ATC safety practices, methodologies, guidelines and standards were critically revised, in order to identify how they could be applied to the project under consideration. Thus specific problematic areas for the safety assessment in a pre-operational experimental project are highlighted and, on the basis of theoretical principles, some possible solutions taken into consideration. The latter are described highlighting the rationale of most relevant decisions, in order to provide guidance for generalisation or re-use. q

Application, Utility and Acceptability of Data Analytics in Safety Risk Management of Airline Operations

PHM Society European Conference

One area the aviation industry is grappling with is the quantification of the probability of occurrence of safety incidents. Currently, aviation professionals involved in safety risk management mostly rely on collective experience to determine probability of incident occurrences and apply it to the International Civil Aviation Organisation (ICAO) matrix or equivalent to evaluate the risk. A number of limitations linked to the use of risk matrices will be explored in this paper. It is the aim of this paper to explore statistical methods that can be used to determine the probability of safety occurrences and come up with an algorithm that can be used by airlines using available safety data. The novelty of this research is that it combines the exploration of use of statistical techniques to quantitatively assess risk using Flight Data Monitoring (FDM) and other data, with acceptability of Safety Risk Management (SRM) data analytics by operational personnel. The paper also explores the ...

Study on the Structure of Safety Performance Indicators for Airline Companies

Safety performance measurement of an airline company is the objective evidence providing how well the organization is executing its own safety management system (SMS), which should cooperate deeply with State safety program (SSP). In order to appropriately measure the safety performances of airline companies, studies on building an appropriate structure of safety performance indicators (SPIs) is required as the first step. This study reviews on the definition and required characteristics of SPIs, structures of SPIs guided in some fields other than aviation, and recommendations from the ICAO about safety performance measurement. Then, a structure of SPIs expressing safety performance in flight operation of an airline is proposed. It has a hierarchical structure that is composed with "event level SPIs," "flight phase level SPIs," and an "organizational level SPI." Some recommendations on selecting the lists of both event and flight phase level indicators are provided as well.

Including Safety during Early Development Phases of Future Air Traffic Management Concepts

2015

Safety should be designed into future air traffic management systems from their very conception, which can be achieved by integrating powerful hazard analysis techniques into the general systems engineering process. The primary barrier to achieving this objective is the lack of effectiveness of the existing analytical tools during early concept development. This paper introduces a new technique, which is based on a more powerful model of accident causality—called systems-theoretic accident model and process (STAMP)—that can capture behaviors that are prevalent in these complex, software-intensive systems. The goals are to (1) develop rigorous, systematic tools for the analysis of future ATM concepts in order to identify potentially hazardous scenarios and undocumented assumptions, and (2) extend these tools to assist stakeholders in the development of concepts using a safety-driven approach. Keywords--safety; human factors; trajectory management; separation; air-ground integrated co...

Structuring critical success factors of airline safety management system using a hybrid model

Transportation Research Part E: Logistics and Transportation Review, 2010

With the global trend of legal requirement for a performance-based Safety Management System (SMS), to develop and implement an SMS to deliver services has become the most important goal within the airline industry. Yet there found some discrepancies concerning the use and the manner that SMS was being explained and taught. Therefore, this research aims to develop a quantitative evaluation model, which identifies the key components of airline SMS and considers the interaction between key components. To explore the core value of SMS, an extensive review regarding SMS components are firstly conducted and summarized from major aviation organizations and authorities, and then Grey Relational Analysis is used to group and select key components. After the critical components are derived, Decision Making Trial Evaluation Laboratory and Analytic Network Process are employed to analyze and map out all kinds of interactions among critical components and dimensions systematically. An empirical study is presented to illustrate the application of the proposed methods. From the results of the combined approaches, Organization is the most important dimension in SMS, which begins with Policies that convey to all staff the top managers' vision on safety.