Title :
Assessment of wake vortex separation distances using the WAVIR toolset
Author :
Speijker, Lennaert ; Van Baren, Gerben ; Sherry, Lance ; Shortle, John ; Rico-Cusi, Femando
Author_Institution :
National Aerosp. Lab. NLR, Amsterdam, Netherlands
Abstract :
Increases to the capacity of the National Airspace System (NAS), and reduction of delayed and cancelled flights, can be achieved by increasing the landing and takeoff capacity of the runways at the nation´s busiest hub airports. NASA and the FAA are evaluating the feasibility of increasing runway capacity through reduced wake vortex separation distances between aircraft in the arrival and departure flows. Traditionally three methods have been used to determine safe wake vortex separation distances: (i) flight test experiments, (ii) historic operational data, and (iii) analytical models. This paper describes the WAVIR toolset, developed by the National Aerospace Laboratory NLR (the Netherlands), for evaluation of wake vortex separation distances. WAVIR is an analytic tool that uses stochastic models for wake vortex generation, wake vortex encounter, aircraft separation, and pilot/aircraft response to an encounter of varying magnitudes. The WAVIR tool provides the ability to evaluate the feasibility of different separation distances between fleets of heterogeneous aircraft under different operational, weather and wind conditions. The approach is applied to evaluate the safety related to current practice single runway arrivals.
Keywords :
aerospace simulation; air traffic control; stochastic processes; vortices; wakes; FAA; NASA; National Aerospace Laboratory; National Airspace System; WAVIR toolset; aircraft separation; analytical models; arrival flows; cancelled flights; delayed flights; departure flows; flight test experiments; heterogeneous aircraft; historic operational data; landing capacity; pilot/aircraft response; runway capacity; stochastic models; takeoff capacity; wake vortex encounter; wake vortex generation; wake vortex separation distances; weather conditions; wind conditions; Aerospace testing; Aircraft; Airports; Analytical models; Delay; FAA; Laboratories; NASA; Stochastic processes; Wind;
Conference_Titel :
Digital Avionics Systems Conference, 2004. DASC 04. The 23rd
Print_ISBN :
0-7803-8539-X
DOI :
10.1109/DASC.2004.1391279