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

Pasquini, Alberto; Pozzi, Simone

doi:10.1016/j.ress.2004.08.009

Cited by 24 publications

(10 citation statements)

References 6 publications

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“…Hence, failure independence would increase the overall ATM safety. -Humans [12,30] using complex language and procedures mediate this interaction. Moreover, most of the final decisions are still demanded to humans whose behaviour is less predictable than that of automated systems.…”

Section: Limitationsmentioning

confidence: 99%

Evolutionary Safety Analysis: Motivations from the Air Traffic Management Domain

Felici

2005

Lecture Notes in Computer Science

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Abstract. In order realistically and cost-effectively to realize the ATM (Air Traffic Management) 2000+ Strategy, systems from different suppliers will be interconnected to form a complete functional and operational environment, covering ground segments and aerospace. Industry will be involved as early as possible in the lifecycle of ATM projects. EURO-CONTROL manages the processes that involve the definition and validation of new ATM solutions using Industry capabilities (e.g., SMEs). In practice, safety analyses adapt and reuse system design models (produced by third parties). Technical, organisational and cost-related reasons often determine this choice, although design models are unfit for safety analysis. Design models provide limited support to safety analysis, because they are tailored for system designers. The definition of an adequate model and of an underlying methodology for its construction will be highly beneficial for whom is performing safety analyses. Limited budgets and resources, often, constrain or inhibit the model definition phase as an integral part of safety analysis. This paper is concerned with problems in modeling ATM systems for safety analysis. The main objective is to highlight a model specifically targeted to support evolutionary safety analysis.

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Section: Limitationsmentioning

confidence: 99%

Evolutionary Safety Analysis: Motivations from the Air Traffic Management Domain

Felici

2005

Lecture Notes in Computer Science

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“…A vast variety of solutions from early methods such as network theory 7 and cut and try methods 8 to more complicated approaches such as heuristic methods have been proposed over the years, each with their loss and gain. Some such as the cutand-try method has shown to have great dependency on r. Rather than designing the ATC system itself, the dependability and safety assessment applications must be thoroughly studied 9 . In 10 , dependability evaluations have been done on the automatic CAUTRA air traffic system deployed on the France airways.…”

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm

Soheili¹,

Mashhadi²

2016

IJCIS

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During the last decade, problems regarding the Traffic Management Advisor(TMA) has become a concerning matter. A novel hybrid Genetic Algorithm(GA) for the goal of seeking best possible alignment has been presented in this paper. This simple and yet very thorough method benefits from low computational burden, higher convergence rate and lower overall delays. Comprehensive simulations and implementation of the imbedded specially designed rearrangement operator, have shown the effectiveness of the proposed method in comparison with previous literatures and classic GA.

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“…Humans [19,20] using complex language and procedures mediate this interaction. Moreover, most of the final decisions are still demanded to humans whose behaviour is less predictable than that of automated systems.…”

Section: Limitationsmentioning

confidence: 99%

Capturing emerging complex interactions: Safety analysis in air traffic management

Felici

2006

Reliability Engineering & System Safety

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

Cited by 24 publications

References 6 publications

Evolutionary Safety Analysis: Motivations from the Air Traffic Management Domain

Evolutionary Safety Analysis: Motivations from the Air Traffic Management Domain

Improvement of the Aircraft Traffic Management Advisor Optimization Using a Hybrid Genetic Algorithm

Capturing emerging complex interactions: Safety analysis in air traffic management

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