By Electronic Navigation Research Inst
The digital Navigation learn Institute (ENRI) held its third International Workshop on ATM / CNS in 2013 with the subject matter of "Drafting the destiny sky".
There is world wide task occurring within the learn and development of smooth air site visitors administration (ATM) and its allowing 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 keep an eye on. At this workshop, best experts in study, and academia from worldwide met to share their rules and ways 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)
2 Avoidance Procedure The current position of the aircraft is used as the origin of the weather avoidance route, and a suitable downstream waypoint is chosen as the return waypoint. In the example shown in Fig. 3, Cell 1 triggered the initial weather-conflict detection. Generally paths on both sides of this weather cell will be found, but, for illustration purposes, the subsequent discussion will focus only on the path to the left. For this path, the tangent from the current position to the left of that weather cell is created.
Erzberger H (2006) Automated conflict resolution for air traffic control. In: 25th international congress of the aeronautical sciences 5. Erzberger H (2009) Separation assurance in the future air traffic system. In: The second ENRI international workshop on ATM/CNS, Tokyo 6. Erzberger H, Lauderdale TA, Cheng Y (2010) Automated conflict resolution, arrival management and weather avoidance for ATM. In: 27th international congress of the aeronautical sciences, Nice 7. Erzberger H, Lauderdale TA, Cheng Y (2012) Automated conflict resolution, arrival management and weather avoidance for ATM.
The uncertainty of the PDD: The PDD has an uncertainty since it is based on a finite number of observations. The reliability of the PDD increases with the number of observations from which it is derived. 2. The uncertainty of the surrounding environmental conditions: The PDDs are derived from wake vortex observation data normalized by using the leading aircraft (wake vortex generator) flight conditions and the weather conditions that prevailed when the observations were conducted. Thus, the accuracy of a PDD depends on the accuracies of the information about these conditions.
Air Traffic Management and Systems: Selected Papers of the 3rd ENRI International Workshop on ATM/CNS (EIWAC2013) by Electronic Navigation Research Inst