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| Content Provider | ACM Digital Library |
|---|---|
| Author | Forer, Scott Yliniemi, Logan |
| Abstract | With the increased use of unmanned aerial vehicles (UAVs) for both commercial and private use comes the inevitability that over-saturated airspaces will exist. If an airspace becomes congested and difficult to traverse, the possibility of an entity abusing, controlling, and even monopolizing the space can be extremely dangerous. In this paper we show that this type of monopolization can exist. We use cooperative coevolutionary algorithms to examine multiple teams of UAVs coexisting in the same airspace. Considering two equally-sized teams: A and B, if Team A chooses to cooperate with Team B, and considers team B's losses as its own, the system can work fluidly. If Team A chooses to focus on its own concerns while ignoring impacts on Team B, Team B can suffer a 99% increase in midair conflicts. If Team A chooses to actively prevent Team B from fluid operation, Team B's number of midair conflicts can suffer a 394% increase. |
| Starting Page | 1105 |
| Ending Page | 1112 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450349208 |
| DOI | 10.1145/3071178.3071198 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-07-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Unmanned air traffic management Coevolution |
| Content Type | Text |
| Resource Type | Article |
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