Air traffic complexity in future Air Traffic Management systems

Prandini, Maria; Putta, Vamsi; Hu, Jianghai

doi:10.3233/aop-2012-0015

Cited by 17 publications

(13 citation statements)

References 19 publications

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“…Prandini et al developed a new method of mapping complexity based exclusively on traffic density [26]. This method is applicable only to the future concept of aircraft self-separation and does not take into account the human factors at all.…”

Section: Overview Of Air Traffic Complexity Models and Methodsmentioning

confidence: 99%

Determining Air Traffic Complexity – Challenges and Future Development

Antulov-Fantulin

Juričić

Radišić

et al. 2020

PROMET

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Air traffic complexity is one of the main drivers of the air traffic controllers’ workload. With the forecasted increase of air traffic, the impact of complexity on the controllers' workload will be even more pronounced in the coming years. The existing models and methods for determining air traffic complexity have drawbacks and issues which are still an unsolved challenge. In this paper, an overview is given of the most relevant literature on air traffic complexity and improvements that can be done in this field. The existing issues have been tackled and new solutions have been given on how to improve the determination of air traffic complexity. A preliminary communication is given on the future development of a novel method for determining air traffic complexity with the aim of designing a new air traffic complexity model based on air traffic controller tasks. The novel method uses new solutions, such as air traffic controller tasks defined on pre-conflict resolution parameters, experiment design, static images of traffic situations and generic airspace to improve the existing air traffic complexity models.

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Section: Overview Of Air Traffic Complexity Models and Methodsmentioning

confidence: 99%

Determining Air Traffic Complexity – Challenges and Future Development

Antulov-Fantulin

Juričić

Radišić

et al. 2020

PROMET

View full text Add to dashboard Cite

show abstract

“…Prandini et al have developed a new method of mapping complexity based exclusively on traffic density [34]. This method is applicable only to the future concept of aircraft self-separation and does not take into account the human factors at all.…”

Section: Previous Research On Air Traffic Complexitymentioning

confidence: 99%

Air Traffic Complexity as a Source of Risk in ATM

Radišić¹,

Andraši²,

Novák³

et al. 2020

Risk Assessment in Air Traffic Management

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In this chapter the connection between air traffic complexity and risks in air traffic management system will be explored. Air traffic complexity is often defined as difficulty of controlling a traffic situation, and it is therefore one of the drivers for air traffic controller's workload. With more workload, the probability of air traffic controller committing an error increases, so it is necessary to be able to assess and manage air traffic complexity. Here, we will give a brief overview of air traffic complexity assessment methods, and we will put the traffic complexity assessment problem into a broader context of decision complexity. Human reliability assessment methods relevant to air traffic management will be presented and used to assess the risk of loss of separation in traffic situations with different levels of complexity. To determine the validity of the human reliability assessment method, an analysis of conflict risk will be made based on the real-time human-in-the-loop (HITL) simulations.On the other hand, Cilliers, in his seminal book on the topic, claims exactly the opposite [6]:If a system-despite the fact that it may consist of a huge number of components-can be given a complete description in terms of its individual constituents, such a system is merely complicated. [...] In a complex system, on the other hand, the interaction among constituents of the system, and the interaction between the 3 Air Traffic Complexity as a Source of Risk in ATM DOI: http://dx.doi.org/10.5772/intechopen.90310 system and its environment, are of such a nature that the system as a whole cannot be fully understood simply by analysing its components.

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“…Consolidated sets of performance indicators are used by company management to ensure attainment of their objectives and goals linked to strategy and value creation for the company. Prandini et al [4] specified the complexity metrics that were relevant in the operations of future air traffic management system. Marin-Garcia and Poveda [5] reviewed the success of a medium sized company implementing change suggestions from the employees.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk Assessment of Business Process Re-Engineering Projects

Bundoora¹,

Victòria²,

Australia³

2015

JSS

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Business Process Re-engineering (BPR) inevitably involves change. However, modern business organizations are extremely complex. Setting improvement targets in BPR too high without considering the company's capability and its external and internal interactions will have little chance of achieving the set targets, which means project failure. Unfortunately, forecasting of the BPR outcomes is currently a wild guess to management. This paper describes a risk model that estimates a process improvement capability score and integrates with a performance effectiveness function to assess the likelihood of meeting performance gain targets from process improvement projects undertaken by companies. The risk assessment can assist management to set more realistic performance gain targets for process improvement projects with a better chance of success.

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Air traffic complexity in future Air Traffic Management systems

Cited by 17 publications

References 19 publications

Determining Air Traffic Complexity – Challenges and Future Development

Determining Air Traffic Complexity – Challenges and Future Development

Air Traffic Complexity as a Source of Risk in ATM

Risk Assessment of Business Process Re-Engineering Projects

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