Scalable Collision Avoidance in High-Density Airspaces

Bianca S. Gonzalez, Muhammad Junayed, Alan R. Wagner, Jack W. Langelaan

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

Abstract

Human-piloted, remotely piloted, and autonomous aircraft are likely to share the air space in the near future. Furthermore, the density of air traffic is likely to increase as urban air mobility and air package delivery operations become more prevalent. Hence an approach to collision avoidance that is both scalable and permits integration of human pilots is needed. This paper discusses a collision avoidance approach based on velocity potentials: it is scalable to large numbers of aircraft and is highly likely to be easily interpretable for human pilots, passengers, and bystanders. This paper describes the velocity potential approach for three dimensional collision avoidance and uses Monte Carlo simulations to examine (1) the effect of number of aircraft in the airspace; (2) the effect of number of aircraft that are actively tracked for collision avoidance; (3) the elementary potentials used for collision avoidance.

Original languageEnglish (US)
Title of host publicationFORUM 2023 - Vertical Flight Society 79th Annual Forum and Technology Display
PublisherVertical Flight Society
ISBN (Electronic)9781713874799
StatePublished - 2023
Event79th Vertical Flight Society Annual Forum and Technology Display, FORUM 2023 - West Palm Beach, United States
Duration: May 16 2023May 18 2023

Publication series

NameFORUM 2023 - Vertical Flight Society 79th Annual Forum and Technology Display

Conference

Conference79th Vertical Flight Society Annual Forum and Technology Display, FORUM 2023
Country/TerritoryUnited States
CityWest Palm Beach
Period5/16/235/18/23

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering

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