Using reinforcement learning to improve airspace structuring in an urban environment

HIGHLIGHTS

  • who: Marta Ribeiro and colleagues from the Control and Simulation, Faculty of Engineering, Delft University of Technology, Kluyverweg , have published the article: Using Reinforcement Learning to Improve Airspace Structuring in an Urban Environment, in the Journal: Aerospace 2022, 9, 420. of /2022/
  • what: The authors focus on the application of ML for airspace design. The authors propose a reinforcement learning approach responsible for defining the heading range per traffic layer as a function of the expected traffic scenario. This work is the first approach intended to study whether RL methods can successfully set an airspace . . .

     

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