Experimenting with an ant-like pathfinding algorithm for airspace routes
AeroAnts is a conceptual project exploring the optimization of routing and traffic structures inspired by ant colony behavior. It applies principles of swarm intelligence to complex, dynamic systems such as airspace.
Core Concept
Ants efficiently discover short and robust paths by reinforcing successful routes using pheromones. AeroAnts abstracts this mechanism and applies it to route guidance:
- Traffic participants act as autonomous agents
- Routes are dynamically evaluated and reinforced
- Efficient paths emerge through self-organization
Goals
- Reduction of conflicts and bottlenecks
- Route optimization
- Influencing factors are represented by further pheromones.
- (Development into a full route generator/prediction tool)
AeroAnts is an experimental systems concept.