Bachelor Thesis
Agent-based modeling of autonomous aerial wildfire suppression - a comparative study of drone swarms, traditional aircraft, and hybrid systems
An agent-based simulation exploring coordinated wildfire suppression strategies. Focused on emergent efficiency of heterogeneous drone swarms versus conventional aircraft deployment.
- Custom grid environment + ignition / spread dynamics
- Heuristic & cooperative task allocation for drone agents
- Comparative performance metrics (response latency, containment time)
- Extensible architecture for future reinforcement learning integration
Outcome: Identified hybrid strategies that reduce suppression latency under variable wind regimes.
