A Pragmatic Approach to Uncover Blind Spots in Accident Investigation in Ultra-safe Organizations - A Case Study from Air Traffic Management

2018 ◽  
pp. 199-210
Author(s):  
Jonas Lundberg ◽  
Billy Josefsson
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Pragmatic Approach ◽  
Accident Investigation ◽  
Blind Spots

scholarly journals A Novel Performance Framework and Methodology to Analyze the Impact of 4D Trajectory Based Operations in the Future Air Traffic Management System

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Sergio Ruiz ◽  
Javier Lopez Leones ◽  
Andrea Ranieri
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Performance Framework ◽  
Performance Requirements ◽  
The Future ◽  
Traffic Management System ◽  
And Performance ◽  
The Impact

The introduction of new Air Traffic Management (ATM) concepts such as Trajectory Based Operations (TBO) may produce a significant impact in all performance areas, that is, safety, capacity, flight efficiency, and others. The performance framework in use today has been tailored to the operational needs of the current ATM system and must evolve to fulfill the new needs and challenges brought by the TBO content. This paper presents a novel performance assessment framework and methodology adapted to the TBO concept. This framework can assess the key performance areas (KPAs) of safety, capacity, and flight efficiency; equity and fairness are also considered in this research, in line with recent ATM trends. A case study is presented to show the applicability of the framework and to illustrate how some of the complex interdependencies among KPAs can be captured with the proposed approach. This case study explores the TBO concept of “strategic 4D trajectory deconfliction,” where the early separation tasks of 4D trajectories at multisector level are assessed. The framework presented in this paper could potentially support the target-setting and performance requirements identification that should be fulfilled in the future ATM system to ensure determined levels of performance.

The Adoption of Network-Centric Data Sharing in Air Traffic Management

2021 ◽  
pp. 127-151
Author(s):  
Karel Joris Bert Lootens ◽  
Marina Efthymiou
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Point Of View ◽  
Structured Interviews ◽  
Air Navigation Services ◽  
Aviation Network ◽  
Collaborative Decision ◽  
Insight Into

Network-centric sharing of data between all Air Traffic Management (ATM) stakeholders can improve the aviation network substantially. The System Wide Information Management (SWIM) platform is a platform for the open sharing of all information between aircraft operators, airports, air navigation services providers (ANSPs), and meteorology services, but has struggled to find a following. This article aims to identify the potential reasons for the slow adoption of the SWIM platform, and to investigate how to better communicate its potential. To gain insight into the drivers for each of the stakeholders, a series of semi-structured interviews was conducted with airlines, airports and ANSPs. Moreover, an Airport Collaborative Decision Making (A-CDM) initiative at the airport in Dublin was included as a case study. Recommendations are provided on how to address the results from a governance point of view.

The Adoption of Network-Centric Data Sharing in Air Traffic Management

2019 ◽  
Vol 32 (3) ◽  
pp. 48-69
Author(s):  
Karel Joris Bert Lootens ◽  
Marina Efthymiou
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Point Of View ◽  
Structured Interviews ◽  
Air Navigation Services ◽  
Aviation Network ◽  
Collaborative Decision ◽  
Insight Into

Network-centric sharing of data between all Air Traffic Management (ATM) stakeholders can improve the aviation network substantially. The System Wide Information Management (SWIM) platform is a platform for the open sharing of all information between aircraft operators, airports, air navigation services providers (ANSPs), and meteorology services, but has struggled to find a following. This article aims to identify the potential reasons for the slow adoption of the SWIM platform, and to investigate how to better communicate its potential. To gain insight into the drivers for each of the stakeholders, a series of semi-structured interviews was conducted with airlines, airports and ANSPs. Moreover, an Airport Collaborative Decision Making (A-CDM) initiative at the airport in Dublin was included as a case study. Recommendations are provided on how to address the results from a governance point of view.

scholarly journals A Case Study of Fishbone Sequential Diagram Application and ADREP Taxonomy Codification in Conventional ATM Incident Investigation

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 491 ◽  
Author(s):  
Schon Liang Cheng ◽  
Rosa Arnaldo Valdés ◽  
Victor Gómez Comendador ◽  
Francisco Sáez Nieto
Keyword(s):  
Traffic Management ◽  
Complex Analysis ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Analysis Methodology ◽  
Incident Investigation ◽  
Analysis Process ◽  
Fishbone Diagram ◽  
Sequential Diagram

This paper aims to present the application of a fishbone sequential diagram in air traffic management (ATM) incident investigations performing as a key connection between safety occurrence analysis methodology (SOAM) and accident/incident data reporting (ADREP) approaches. SOAM analysis is focused on organizational cause detection; nevertheless, this detection of individual causes from a complete incident scenario presents a complex analysis, and even more, the chronological relationship between causes, which is lacking in SOAM, should be tracked for post-investigation analysis. The conventional fishbone diagram is useful for failure cause classification; however, we consider that this technique can also show its potential to establish temporal dependencies between causes, which are categorized and registered with ADREP taxonomy for future database creation. A loss of separation incident that occurred in the Edmonton area (Canada) is used as a case study to illustrate this methodology as well as the whole analysis process.

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