Modeling Safety Case Evolution – Examples from the Air Traffic Management Domain

2006 ◽  
pp. 81-96 ◽  
Author(s):  
Massimo Felici
Keyword(s):  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Domain ◽  
Safety Case

scholarly journals A Method for SWIM-Compliant Human-in-the-Loop Simulation of Airport Air Traffic Management

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Thomas Gräupl ◽  
Martin Mayr ◽  
Carl-Herbert Rokitansky
Keyword(s):  
Traffic Management ◽  
Reference Model ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Research ◽  
Service Oriented Architectures ◽  
Human In The Loop ◽  
Management Domain ◽  
Communication Layer ◽  
Service Oriented

System Wide Information Management(SWIM), as envisioned by theSingle European Sky Air Traffic Management Research(SESAR) program, is the application of service oriented architectures to the air traffic management domain. Service oriented architectures are widely deployed in business and finance but usually tied to one specific technological implementation. SWIM goes one step further by defining only the semantic layer of the application integration and leaving the implementation of the communication layer open to the implementer. The shift from legacy communication patterns to SWIM is fundamental for the expected evolution of air traffic management in the next decades. However, the air traffic management simulators currently in use do not reflect this yet. SWIM compliance is defined by semantic compatibility to theAir Traffic Management Information Reference Model(AIRM) and a SWIM service may implement one or more communication profiles, which specify a communication layer implementation. This work proposes a SWIM-compliant communication profile suitable to integrate SWIM-compliant tools into human-in-the-loop simulations for air traffic management research. We achieve this objective by implementing a SWIM communication profile using XML-based multicast messaging and extending the message format to support distributed human-in-the-loop simulations. We demonstrate our method by the evaluation of Hamburg Airport operations.

Assessing a requirements evolution approach: Empirical studies in the air traffic management domain

2014 ◽  
Vol 95 ◽  
pp. 70-88 ◽  
Author(s):  
Fabio Massacci ◽  
Federica Paci ◽  
Le Minh Sang Tran ◽  
Alessandra Tedeschi
Keyword(s):  
Traffic Management ◽  
Empirical Studies ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Management Domain ◽  
Requirements Evolution ◽  
Evolution Approach

Safety Culture and Safety-Relevant Behavior in Air Traffic Management

2015 ◽  
Vol 5 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Michaela Schwarz ◽  
K. Wolfgang Kallus
Keyword(s):  
Safety Culture ◽  
Traffic Management ◽  
Service Providers ◽  
Five Factor Model ◽  
Principal Component ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Psychometric Validation ◽  
Safety Attitudes ◽  
Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

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