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Bad Weather Highlighting: Advanced Visualization of Severe Weather and Support in Air Traffic Control Displays

Ohneiser, Oliver and Kleinert, Matthias and Muth, Kathleen and Gluchshenko, Olga and Ehr, Heiko and Groß, Niklas and Temme, Marco-Michael (2019) Bad Weather Highlighting: Advanced Visualization of Severe Weather and Support in Air Traffic Control Displays. In: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). DASC 2019, 08.-12.09.2019, San Diego, Kalifornien, USA.

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Abstract

Adverse weather conditions can have major impacts on air traffic and its control (ATC) in terms of safety and capacity. However, today's ATC situation data displays hardly contain any weather information. Controllers only manually react on external forecasts or status reports to re-plan the aircraft flight paths. The project "Meteorology for Air Traffic Management" (MET4ATM) uses nowcast and forecast weather data for aircraft re-routing calculations and visualization of weather in the radar display. If our Arrival Manager (AMAN) detects that a planned four-dimensional aircraft trajectory is affected by severe weather, it will consider the respective weather polygon, severity, moving direction, and extension for an aircraft re-routing via a detour point. However, the weather situational awareness of the controller would still not be given without further information on the radar display. Therefore, we describe advanced visualization techniques, i.e. a morphing algorithm, to let nowcast polygons become forecast polygons over time until the next weather data update appears. Our implemented prototype highlights weather and re-route affected aircraft, presents smoothly moving weather polygons on the radar display, and gives concrete 4D-trajectory based advisories for re-routing taking the complete arrival stream into account. This continuous support will help controllers to optimize high dynamic air traffic flow even if aircraft do not completely follow the automatically generated plan. In this way the whole severe weather approach operations remain supported by the controller assistance systems and therefore within standard processes.

Item URL in elib:https://elib.dlr.de/129417/
Document Type:Conference or Workshop Item (Speech)
Additional Information:978-1-7281-0649-6/19; Best of Session (HF-1) Award
Title:Bad Weather Highlighting: Advanced Visualization of Severe Weather and Support in Air Traffic Control Displays
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ohneiser, OliverOliver.Ohneiser (at) dlr.dehttps://orcid.org/0000-0002-5411-691X
Kleinert, MatthiasMatthias.Kleinert (at) dlr.deUNSPECIFIED
Muth, KathleenKathleen.Muth (at) dlr.deUNSPECIFIED
Gluchshenko, OlgaOlga.Gluchshenko (at) dlr.deUNSPECIFIED
Ehr, HeikoHeiko.Ehr (at) dlr.deUNSPECIFIED
Groß, NiklasNiklas.Gross (at) dlr.deUNSPECIFIED
Temme, Marco-MichaelMarco.Temme (at) dlr.deUNSPECIFIED
Date:2019
Journal or Publication Title:2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Air Traffic Controller, Severe Weather, Radar Display, Human Machine Interface, 4D-Trajectory, Advisories, MET4ATM
Event Title:DASC 2019
Event Location:San Diego, Kalifornien, USA
Event Type:international Conference
Event Dates:08.-12.09.2019
Organizer:IEEE/AIAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Efficient Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Controller Assistance
Deposited By: Ohneiser, Oliver
Deposited On:14 Nov 2019 09:21
Last Modified:14 Nov 2019 09:21

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