Reviews and Responses for Automating the Estimation of Noise and Emissions near Airports with ADS-B Data

See detailed reviews and responses in the PDF file. DOI for the original paper: https://doi.org/10.59490/joas.2024.790

Studio e valutazione delle prestazioni di un velivolo turboelica di nuova concezione

Analisi dell'efficienza energetica dell'Airbus A400M e confronto con il Boeing 737-800. Sviluppo di un modello integrato motore-aereo turboelica. Studio del parametro ETRW. Analisi di sensibilità del degrado del motore e studio delle emissioni

On a Hamilton-Jacobi-Bellman approach for coordinated optimal aircraft trajectories planning

International audienceIn the context of future air traffic management, an increasing importance is given to environmental considerations and especially fuel consumption. It is thus advisable to make an optimal use of external conditions knowledge, like wind or temperature, to reduce the total fuel needed to complete a flight. On the other hand, safety must be guaranteed all over the trajectory: encounters below the regulatory separation minima, termed as conflicts, must never occur. In this paper, we consider the problem of optimally planning conflict free aircraft trajectories, based on a minimal time criterion and taking into account an ambient wind field. Aircraft motions are restricted to the horizontal plane only to reduce the dimension of the problem and to avoid costly changes of flight level. Since global optimality for the whole set of aircraft is sought after, the admissible space is modeled after a Cartesian product of the individual, 2‐dimensional state spaces with forbidden configurations removed. A Hamilton‐Jacobi‐Bellman approach in the so‐called configuration space obtained that way is then applied to get a coordinated, conflict‐free optimal planning. One of the main advantages of this method is the insurance of getting a global optimum without having to rely on a complex initialization procedure. In this work, the Ultra‐Bee scheme is adapted to configuration spaces and solved in a 4‐dimensional plus time setting

Clustering route choices methodology for network performance analysis

The Network Macroscopic Fundamental Diagram (NMFD) provides a quick overlook of a network performance. Recent studies show that inhomogeneous density spatial distributions significantly reduce the network efficiency. However, few studies investigate the triggers of such distributions. In this paper, we investigate how route choices influence the level of performance of a network and we propose a complete methodology to analyse such a relationship. To simplify the exploration, route choice alternatives are clustered in homogeneous groups with respect to the percentage of overlapping and a large set of flow distribution among routes is tested. The investigations are conducted using both analytical formulations and simulation techniques based on a mesoscopic traffic flow simulator. Analytical formulations define the boundary between fluid and congested network loading. The sensitivity to route choices is then assessed. Then, route choice effects on the network level of performance is quantified using the NMFD. The different evaluated scenarios confirm that the network performance is highly affected by route choice, both by paths' selection and flow distribution. Moreover, the study of hysteresis loops emerging in the NMFD shows that route choice impacts significantly the spatial distribution of congestion

Modélisation mathématique d'expansion de plasma et de décharges électriques

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