By Electronic Navigation Research Inst
The digital Navigation examine Institute (ENRI) held its third International Workshop on ATM / CNS in 2013 with the topic of "Drafting the destiny sky".
There is around the globe job occurring within the examine and development of smooth air site visitors administration (ATM) and its permitting applied sciences in Communication, Navigation and Surveillance (CNS).
Pioneering paintings is important to give a contribution to the worldwide harmonization of air site visitors administration and regulate. At this workshop, prime experts in examine, and academia from worldwide met to share their rules and techniques on ATM/CNS comparable topics.
Read or Download Air Traffic Management and Systems: Selected Papers of the 3rd ENRI International Workshop on ATM/CNS (EIWAC2013) PDF
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Extra resources for Air Traffic Management and Systems: Selected Papers of the 3rd ENRI International Workshop on ATM/CNS (EIWAC2013)
4), interior tangency paths between the two weather polygons are included using the procedure, discussed previously, for exterior tangent lines. Figure 6 shows the four resulting weather avoidance paths. The entire path-finding algorithm can be repeated for different return waypoints, within a reasonable distance, to improve efficiency if desired. Since weather is often moving and changing, as discussed previously, this process relies on forecast weather for downstream cells. These forecasts are inherently uncertain, so it can be important to ensure some additional space around each weather cell.
We consider various conflict scenarios, especially merging situations, between two or multiple aircraft. 1 Problem Setting We consider the aircraft flying in two-dimensional horizontal plane. The two cases are considered: the meteorological prediction for the aircraft dynamics is not considered in Case 1, and considered in Case 2. The meteorological prediction data are provided by the Japan Meteorological Agency as a grid format of longitude and latitude. Therefore, to obtain the required wind predictions, linear and bilinear interpolations are applied.
The weather avoidance functionality incorporates an understanding of aircraft operations by limiting the complexity of the proposed solutions. To capture this understanding, the algorithm uses geometric calculations instead of a grid-based approach. Current research using this new functionality is discussed. Also discussed are methods to increase the robustness of the system to unavoidable differences between predicted aircraft trajectories and the trajectories that are actually flown. Keywords Separation assurance • Weather avoidance • Robust automation 1 Introduction Future air transportation systems are expected to rely upon increased automation for separation assurance and trajectory management to increase airspace capacity.