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

Conference paper (2020)

Authors

J.M. Hoekstra Control & Operations
Copyright: © 2020 M.J. Ribeiro, Joost Ellerbroek, J.M. Hoekstra
Self-Separation U-Space Drones Conflict Detection and Resolution (CD&R) ASAS Unmanned Traffic Management (UTM) Trajectory Intent Space Solution Diagram (SSD) Sense & Avoid
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Published Date

2020

Language

English

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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.