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Department of Data Science
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Department of Data Science

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Department of Data Science

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
  • Research Groups
    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
          • Projects
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        • M.Sc. Kristin Braun
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        • M.Sc. Adrian Göß
        • M.Sc. Lukas Hager
        • M.Sc. Johannes Hahn
        • M.Sc. Katrin Halbig
        • M.Sc. Jan Krause
        • M.Sc. Richard Krug
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        • Dipl.-Math. Galina Orlinskaya
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        • Dr. Jan Rolfes, Akad. Rat
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        • Hanno Schülldorf
        • M.Sc. Sonja Weiland
        • Dr. Dieter Weninger, Akad. Rat
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    • Data Analytics
      • Prof. Dr. Timm Oertel
    • Digital Sovereignty
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    • Optimization under Uncertainty & Data Analysis
      • Group members
        • M.Sc. Kevin-Martin Aigner
          • Projects
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        • M.Sc. Daniela Bernhard
        • M.Sc. Jana Dienstbier
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        • M.Sc. Benno Hoch
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        • M.Sc. Martina Kuchlbauer
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        • Prof. Dr. Frauke Liers
        • M.Sc. Florian Rösel
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        • Sebastian Tschuppik
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        • Friedrich Wagner
        • M.Sc. Jorge Weston
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  • Professors, Lecturers and Researchers
    • Marie-Christine Düker
    • Jens Habermann
    • Johannes Helbig
    • Manfred Kronz
    • Frauke Liers
    • Timm Oertel
    • Dieter Weninger
    • Marius Yamakou
  • Secondary Members of DDS
    • Freimut Bodendorf
    • Günter Leugering
  • Former Members

Projects

Projects

  • Holistische Optimierung von Trajektorien und Runway Scheduling


    (Third Party Funds Group – Sub project)
    Overall project: Holistische Optimierung von Trajektorien und Runway Scheduling
    Term: 1. September 2018 - 31. August 2022
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    URL: https://en.www.math.fau.de/edom/projects-edom/logistics-and-production/holistic-optimization-of-trajectrories-and-runway-schedul
    Abstract

    Efficient runway utilization is a major issue in airport operation, as capacities are (nearly) reached in many aiports. But planing is highly affected by uncertainties arising from weather changes or disruptions in the operative business. Furthermore, the planing of flight trajectories in the terminal region is by now often neglected in runway scheduling, as time efficient solution methods are mathematically challenging. The overall goal of this project is to combine trajectory and runway schedule computation including resilience against uncertainties in order to obtain stable optimal solutions.

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Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
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