Titlebook: Air Traffic Management and Systems IV; Selected Papers of t Electronic Navigation Research Institute Conference proceedings 2021 Springer N

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Das Münzenproblem von Frobeniusding aircraft on the surface of an airport to meet the departure schedule while minimizing overall travel time. To achieve that purpose, ground movement controllers manage the taxi-route assignments and taxi-time estimation for each aircraft in arrival or departure queue. A high-accuracy taxi-time c

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Euler-Maclaurin-Summation im ?deral operational constraints, in order to increase the runway capacity and/or to reduce delays. In this work we propose a new Mixed Integer Programming (MIP) model for sequencing and scheduling aircraft landings on a single or multiple independent runways incorporating safety constraints by means of

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Das Kontinuum diskret berechnennt machine learning regressors have been trained on this 2017 passenger-centric dataset and tested on the first two months of 2018 for the estimation of air traffic delays at departure and arrival at 34 different US airports. Using three different levels of content-related features created from the

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Die Zerlegung eines Polytops in seine Kegeltheir optimal top of descent (TOD) at idle engine thrust. To expand the implementation of CDO, we focus on enhancing the decision-making abilities of air traffic controllers (ATCOs). We conducted a series of human-in-the-loop (HITL) simulations to understand the issues involved in CDO approval decis

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Euler-Maclaurin-Summation im ?dre landing. In order to detect atypical behavior, this paper explores the use of data generative models to learn real approach flight path probability distributions and identify flights that do not follow these distributions. Through the use of Generative Adversarial Networks (GAN), a GAN is first t

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https://doi.org/10.1007/978-3-540-79596-4 system will expect aircraft to follow an assigned 4D-trajectory with high precision, meeting arrival times over established checkpoints with great accuracy. These time-constraints are called Target Windows (TWs). Wind is one of the greatest sources of uncertainty and, consequently, a key point for