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Optimization without Limits - The World Wide Air Traffic Management Project

Kuenz, Alexander and Forster, Caroline and Gerz, Thomas and Gräupl, Thomas and Grewe, Volker and Linke, Florian and Matthes, Sigrun and Radde, Marius and Rippl, Markus and Schwoch, Gunnar and Korn, Bernd (2017) Optimization without Limits - The World Wide Air Traffic Management Project. In: 36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017. AIAA/IEEE. 36th DASC 2017, 2017-09-17 - 2017-09-21, St. Petersburg, Florida, USA. doi: 10.1109/DASC.2017.8102019. ISBN 978-153860365-9. ISSN 2155-7195.

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In air traffic management, optimization is often restricted to local areas, e.g., to the vicinity of airports. Procedures around these areas stay unchanged, and effects from optimizations concerning ecological efficiency are not considered adequately. Investigating new concept elements, this typically results in local gain of efficiency without proving the global benefit. The project World Wide Air Traffic Management (WW-ATM) creates a platform for optimization and validation of world-wide concepts considering feasibility, throughput, costs- and ecological efficiency, and robustness respectively fault liability. Based on different evaluation and optimization tools, complete traffic scenarios can be analyzed and improved both strategically and tactically. This paper explains the WW-ATM concept and describes first steps in scenario generation. The project foresees three phases for the validation of future ATM concepts. First, a strategic planning is performed, based on flight demand data, weather forecast, and flight performance and emission models. The tactical phase simulates the execution of flights, including uncertainties and the simulation of failure events. Finally, the executed trajectories are evaluated in a third phase. All three phases are supported by a set of evaluation tools, including 4D conflict detection, measurement of sector load, climate change function, online extraction of weather obstacles, compliance with airline preferences, and performance analysis for communication and navigation. Furthermore, the strategic planning and execution phase both are supported by several optimization tools reacting on the analyzed data. Thus, a network manager handles the flow of air traffic. The conflict resolution module solves identified conflicts, avoiding both surrounding traffic and severe weather areas. In addition, an airline decision tool realizes company specific preferences, a navigation module adapts required separation minima, and a communication module simulates the data exchange. Flights are also optimized individually for reduced emissions, flight time and climate change. Besides defining the concept, one of the early tasks within the project is the generation of a world-wide air traffic scenario. The paper describes the creation of a realistic world-wide traffic scenario with more than 180,000 flights. Starting from departure/arrival airport pairs, weather data, aircraft types and departure times, an ARINC424-based navigation database tool generates realistic flightplans. Due to the large number of flights, the routing is performed by an A*-algorithm on a weighted graph containing the navigation data, requiring 10ms for single pathfinding on a standard PC on average. Feeding the predicted flightplans into a 4D-Flight-Management-System (FMS) produces 180,000 4D trajectories. Resulting in more than 1.3 million conflicts, these trajectories constitute the base for upcoming WW ATM simulation trials.

Item URL in elib:https://elib.dlr.de/111797/
Document Type:Conference or Workshop Item (Speech)
Title:Optimization without Limits - The World Wide Air Traffic Management Project
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kuenz, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-5192-8894UNSPECIFIED
Gräupl, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-7864-774XUNSPECIFIED
Grewe, VolkerDLR, IPAhttps://orcid.org/0000-0002-8012-6783UNSPECIFIED
Linke, FlorianUNSPECIFIEDhttps://orcid.org/0000-0003-1403-3471UNSPECIFIED
Matthes, SigrunDLR, IPAhttps://orcid.org/0000-0002-5114-2418UNSPECIFIED
Rippl, MarkusUNSPECIFIEDhttps://orcid.org/0000-0001-6564-7524UNSPECIFIED
Schwoch, GunnarUNSPECIFIEDhttps://orcid.org/0000-0001-7507-7131UNSPECIFIED
Korn, BerndUNSPECIFIEDhttps://orcid.org/0000-0003-3598-8971UNSPECIFIED
Journal or Publication Title:36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Keywords:Global Optimization; Concept Evaluation; Scenario Generation
Event Title:36th DASC 2017
Event Location:St. Petersburg, Florida, USA
Event Type:international Conference
Event Start Date:17 September 2017
Event End Date:21 September 2017
Organizer:AIAA, IEEE
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 (old), L - Communication, Navigation and Surveillance (old), L - Climate, Weather and Environment (old), L - Air Traffic Concepts and Operation (old)
Location: Braunschweig , Hamburg , Oberpfaffenhofen
Institutes and Institutions:Institute of Flight Guidance > Pilot Assistance
Air Transport Operations > Air Transport Operations and Infrastructure
Institute of Communication and Navigation > Communications Systems
Institute of Communication and Navigation > Navigation
Institute of Atmospheric Physics > Transport Meteorology
Institute of Flight Guidance > Air traffic systems
Institute of Flight Guidance > ATM-Simulation
Institute of Atmospheric Physics > Earth System Modelling
Air Transport Operations > Air Transport Operations
Deposited By: Kuenz, Dr. Alexander
Deposited On:20 Apr 2017 10:28
Last Modified:24 Apr 2024 20:16

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