The Effect of Intent on Conflict Detection and Resolution at High Traffic Densities

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Abstract

The use of drones for applications such as package delivery, in an urban setting, would result in traffic densities that are orders of magnitude higher than any observed in manned aviation. Such densities not only make automated conflict detection and resolution a necessity, but it will also force a reevaluation of aspects such as centralised vs. distributed, coordination vs. priority, or state vs. intent. This paper investigates the use of intent in tactical conflict detection and resolution at high traffic densities in unmanned aviation. Experimental results show that combining both current state and future intent information improved overall safety. Adding intent enables the detection, in advance, of conflicts resulting from future changes of state. A conflict resolution maneuver is optimal for safety when all aircraft deviate only minimally from their current state to solve the conflict. Consequently, they could deviate from the broadcast intent information. Therefore, state projection into the future must still be kept to prevent very short-term conflicts when intruders do not follow their original intent.
Original languageEnglish
Title of host publicationICRAT 2020
Number of pages8
Publication statusPublished - 2020
EventICRAT 2020: International conference on research in air transportation - Virtual/online event due to COVID-19
Duration: 15 Sep 202015 Sep 2020
Conference number: 9
http://www.icrat.org/icrat/upcoming-conference/committee-members/

Conference

ConferenceICRAT 2020: International conference on research in air transportation
Abbreviated titleICRAT 2020
Period15/09/2015/09/20
Internet address

Bibliographical note

Virtual/online event due to COVID-19

Keywords

  • Conflict Detection and Resolution (CD&R)
  • Trajectory Intent
  • Space Solution Diagram (SSD)
  • U-Space
  • Unmanned Traffic Management (UTM)
  • Self-Separation
  • ASAS
  • Sense & Avoid
  • Drones

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