DocumentCode :
3680536
Title :
A decision support tool for weather and terrain avoidance during departure
Author :
Nathalie Cauchi;Kevin Theuma;Christian Zammit;Jason Gauci;David Zammit-Mangion
Author_Institution :
Institute of Aerospace Technologies, University of Malta, Malta
fYear :
2015
Abstract :
Hazardous weather can pose a significant threat to aircraft safety and may result in a substantial increase in crew workload, such as during departure manoeuvers. If the weather hazard conflicts with the flight plan, including the Standard Instrument Departure (SID) route, the pilots need to plan and execute an avoidance manoeuver. To date, this is still mostly a manual process, with the crew gathering information from multiple sources (including Air Traffic Control (ATC), weather forecasts and onboard weather radar returns) in order to determine an avoidance route. This paper proposes a tool to assist pilots by partially automating the task of avoiding hazardous weather during departure. The tool functions by detecting weather conflicts along the SID and presenting the crew with options to delay the take-off manoeuver or to fly an alternative path in order to avoid the weather hazards, while also ensuring safe separation from terrain. As a result, the tool has the potential to reduce crew workload and increase situation awareness. This paper discusses the proposed decision support tool in terms of (a) the algorithm used to detect and avoid bad weather and (b) the Human Machine Interface (HMI) that has been designed to present weather avoidance solutions to the crew.
Keywords :
"Meteorology","Aircraft","Prediction algorithms","Meteorological radar","Hazards","Cost function"
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2015 IEEE/AIAA 34th
ISSN :
2155-7195
Electronic_ISBN :
2155-7209
Type :
conf
DOI :
10.1109/DASC.2015.7311384
Filename :
7311384
Link To Document :
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