Flight planning and flexible use of airspace in Free route airspace area

Kodera, Martin; Hospodka, Jakub; Chleboun, Martin

doi:10.14311/mad.2014.07.01

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, the European airspace systematically evolves from the en-route to the free route idea, as depicted in Figure 5. This process is systematically reported in various publications (Kodera et al , 2014; Nava-Gaxiola et al , 2018; Gaxiola et al , 2018; Rezo and Steiner, 2020).…”

Section: Related Researchmentioning

confidence: 92%

Regular graph-based free route flight planning approach

Samolej

Dec

Rzońca

et al. 2021

AEAT

View full text Add to dashboard Cite

Purpose The purpose of this study is to provide an alternative graph-based airspace model for more effective free-route flight planning. Design/methodology/approach Based on graph theory and available data sets describing airspace, as well as weather phenomena, a new FRA model is proposed. The model is applied for near to optimal flight route finding. The software tool developed during the study and complexity analysis proved the applicability and timed effectivity of the flight planning approach. Findings The sparse bidirectional graph with edges connecting only (geographically) closest neighbours can naturally model local airspace and weather phenomena. It can be naturally applied to effective near to optimal flight route planning. Research limitations/implications Practical results were acquired for one country airspace model. Practical implications More efficient and applicable flight planning methodology was introduced. Social implications Aircraft following the new routes will fly shorter trajectories, which positively influence on the natural environment, flight time and fuel consumption. Originality/value The airspace model proposed is based on standard mathematical backgrounds. However, it includes the original airspace and weather mapping idea, as well as it enables to shorten flight planning computations.

show abstract

Section: Related Researchmentioning

confidence: 92%

Regular graph-based free route flight planning approach

Samolej

Dec

Rzońca

et al. 2021

AEAT

View full text Add to dashboard Cite

show abstract

“…All the FRA-related works have in common the FRA topic, but each of them is presenting it from a different angle. For example, one work is focused more on the FRA implementation in a specific country and the safety risk analysis of this implementation [6], while another work focuses on the flight planning in the FRA area [10]. Each work is specific as it addresses a certain area of research.…”

Section: Brief Introduction To Free Route Airspace (Fra)mentioning

confidence: 99%

Cloud Computing in Free Route Airspace Research

2022

View full text Add to dashboard Cite

We use technical documentation, data structures, data, and algorithms in our research. These objects support our work, but we cannot offer a unique citation for each object. This paper proposes a method (for citation and reference management) to cite such supportive resources using Cloud Computing. According to the method, the publication cites only one source in the Cloud, and this source contains the Cloud schema, which describes the Cloud infrastructure. When we make a citation using the Cloud schema, we can pinpoint a cited object exactly. The proposed method supports open research; all research—Cloud items—is freely available. To illustrate the method, we applied it in the case of free route airspace (FRA) modelling. FRA is a new concept of Air Traffic Management and it is also the subject of our research.

show abstract

“…for conflict detection, are necessary. Other studies also indicate the demand for new tools when dealing within the FRA environment (Nava-Gaxiola, 2015), especially for the aircraft operators who need a complex planning tool that would help them find a suitable, shortest possible routing under given condition (Kodera et al, 2014). Krzy_ zanowski was one of the first authors who considered the issue of optimal flight planning in FRA (Krzy_ zanowski, 2013).…”

Section: Introductionmentioning

confidence: 99%

Multicriteria decision-making in flight route selection

Rolka

Mieszkowicz-Rolka

Drupka

2020

AEAT

View full text Add to dashboard Cite

Purpose This paper aims to present a hybrid logical-arithmetic approach for selecting optimal flight routes. It can be used in the framework of free route airspace (FRA), which is aimed at achieving higher efficiency of air traffic management. Design/methodology/approach At the first stage, an initial subset of flight routes is selected that are promising alternatives with respect to single numerical criteria. At the second stage, a hybrid multicriteria decision model is constructed, consisting of numerical criteria and additional linguistic criteria. At the third stage, the numerical and linguistic criteria are integrated into a crisp decision matrix for determining the final ranking using the technique for order preferences by similarity to an ideal solution (TOPSIS) method. Findings The considered decision-making problem involves different kinds of criteria. Numerical (objective) criteria are given as real numbers. Linguistic (subjective) criteria are expressed with the help of fuzzy linguistic values. In consequence, a (logical) reasoning process prior to performing an (arithmetic) optimization procedure is necessary. Furthermore, a uniform optimization procedure requires a way of combining numerical and linguistic attributes. Practical implications The proposed approach can be applied to solving various multicriteria decision-making problems, where both objective and subjective criteria are taken into account. Originality/value First, a fuzzy information system that includes linguistic condition attributes is constructed. Second, a fuzzy inference system that is necessary for determining the resulting fuzzy criterion “turbulence conditions” for all flight routes is introduced. Finally, a way of combining numerical and linguistic criteria is proposed. This is done by converting values of fuzzy attributes into crisp ones, basing on the preferences of a decision-maker.

show abstract

Flight planning and flexible use of airspace in Free route airspace area

Cited by 3 publications

References 0 publications

Regular graph-based free route flight planning approach

Regular graph-based free route flight planning approach

Cloud Computing in Free Route Airspace Research

Multicriteria decision-making in flight route selection

Contact Info

Product

Resources

About