Tackling Airspace Congestion: A Scalable and Robust Framework for End-to-End UAS Traffic Management

Minjun Sung, Sambhu H. Karumanchi, Christophe J. Hiltebrandt-Mcintosh, Hunmin Kim, Naira Hovakimyan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an end-to-end air traffic management framework for Unmanned Aircraft Systems (UAS) operations that is both scalable and robust. Our approach involves defining congestion in the airspace and developing a congestion-based cost map that can mitigate potential congestion while adhering to regulations and guidelines. Each UAS operation leverages a recursively updated cost map in solving the path planning problem, providing scalability of the framework. Additionally, we introduce a time-critical controller to enhance the robustness of mission execution. Empirical evidence confirms the feasibility and effectiveness of our method, achieving significant reductions in both cumulative and maximum levels of airspace congestion.

Original languageEnglish (US)
Title of host publication2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1468-1473
Number of pages6
ISBN (Electronic)9798350399462
DOIs
StatePublished - 2023
Externally publishedYes
Event26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Spain
Duration: Sep 24 2023Sep 28 2023

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Country/TerritorySpain
CityBilbao
Period9/24/239/28/23

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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