2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC) 2014
DOI: 10.1109/dasc.2014.6979511
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Trajectory prediction in North Atlantic oceanic airspace by wind networking

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Cited by 9 publications
(10 citation statements)
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“…For each 4D-trajectory point (φ, λ, h, t), placed in the appropriate cell depending on its coordinates, the separation between this point and all the points in the same and neighbor cells is verified, and if violated, then a point-to-point conflict is detected (see [38] for more details), and the total number of point-to-point conflicts, C t , is increased. Figure 12 demonstrates the potential conflicts detected for a set of WOFR for 546 eastbound transatlantic flights on July 15 th 2012, where the conflict points are marked in red.…”
Section: Problem Formulation and Resolution Via Wind-optimal Freementioning
confidence: 99%
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“…For each 4D-trajectory point (φ, λ, h, t), placed in the appropriate cell depending on its coordinates, the separation between this point and all the points in the same and neighbor cells is verified, and if violated, then a point-to-point conflict is detected (see [38] for more details), and the total number of point-to-point conflicts, C t , is increased. Figure 12 demonstrates the potential conflicts detected for a set of WOFR for 546 eastbound transatlantic flights on July 15 th 2012, where the conflict points are marked in red.…”
Section: Problem Formulation and Resolution Via Wind-optimal Freementioning
confidence: 99%
“…However, as demonstrated in [20], delaying flights is not enough for conflict resolution, thus, trajectory shape modification is applied. To modify the geometrical shape of a trajectory, we exploit a bijective transformation between an arbitrary curve on a sphere and a curve on the xy-plane, as demonstrated in Figure 13 (see [38], [21] for more details). The bijective function curvature The physical constraints of the problem are the separation norms between the 4D trajectory points, which has been relaxed in the objective function as in the previous section III-E. As a result, the only constraints of our formulation are the boundary constraints on the decision variables, and the objective function is designed to minimize the total number of point-to-point conflicts, C t (z), induced by the set of modified trajectories corresponding to the variables z.…”
Section: Problem Formulation and Resolution Via Wind-optimal Freementioning
confidence: 99%
See 2 more Smart Citations
“…We select only the flights that: The resulting files with extracted data used in simulations can be found at [15].…”
Section: Test Problemsmentioning
confidence: 99%