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Tactical and strategic air traffic sequencing with minimum-fuel trajectories

Pawełek Adrian, Lichota Piotr

Journal of Theoretical and Applied Mechanics

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2025

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Vol. 63 nr 1

27--36

EN

The constantly growing air traffic has a negative impact on the environment, flight safety, and the staff workload. The solution to these problems might be new techniques of air traffic management, especially automatic sequencing of the arriving aircraft combined with the optimal flight trajectories. This work aims to analyze the feasibility and optimality of automatic air traffic sequencing by using MILP and large datasets of real air traffic data. The results show that the appropriate formulation of the problem may lead to both suboptimal solutions for tactical planning purposes and optimal solutions for strategic and pre-tactical planning purposes.

2

Mitigating sensor quality issues in UAV system identification through wavelet decomposition

Jimenez-Soler Pedro, Lichota Piotr

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2025

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Vol. 73, nr 1

art. no. e152216

EN

Unmanned aerial vehicles (UAVs) require precise system identification for optimal performance and safety, yet sensor noise and signal distortion frequently compromise data quality. Recent studies have explored various approaches to mitigate these issues. However, this study introduces a novel method that utilizes wavelet transform techniques, distinctively enhancing UAV sensor signal processing. Unlike conventional methods that primarily focus on noise reduction, this approach employs multi-resolution wavelet decomposition to denoise and align signals effectively, crucial for accurate system identification. This systematic exploration of various wavelet bases and the application of the output error method for correlating signals provide a unique combination not extensively covered in current literature. The technique was validated using simulated sensor data at 50 Hz from a small UAV platform, the Multiplex®Fun Cub, specifically targeting longitudinal dynamics response. Results demonstrated substantial improvements in signal quality, with significantly enhanced correlation coefficients, showcasing the potential of our wavelet techniques to refine UAV system analysis. This paper presents a comprehensive framework for applying wavelet-based techniques in UAV system identification, significantly advancing the robustness and reliability of identification processes and distinguishing our work from existing methods by its integration of wavelet decomposition and advanced system identification techniques.

3

Arriving air traffic separations generalized model identification

Pawełek Adrian, Lichota Piotr

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2022

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Vol. 70, nr 2

art. no. e140694

EN

Quick development of computer techniques and increasing computational power allow for building high-fidelity models of various complex objects and processes using historical data. One of the processes of this kind is an air traffic, and there is a growing need for traffic mathematical models as air traffic is increasing and becoming more complex to manage. This study concerned the modelling of a part of the arrival process. The first part of the research was air separation modelling by using continuous probability distributions. Fisher information matrix was used for the best fit selection. The second part of the research consisted of applying regression models that best match the parameters of representative distributions. Over a dozen airports were analyzed in the study and that allowed to build a generalized model for aircraft air separation in function of traffic intensity. Results showed that building a generalized model which comprises traffic from various airports is possible. Moreover, aircraft air separation can be expressed by easy to use mathematical functions. Models of this kind can be used for various applications, e.g.: air separation management between aircraft, airports arrival capacity management, and higher-level air traffic simulation or optimization tasks.