WExUpp - kommande framläggningar

Safety and efficiency are cornerstones of modern-day commercial aviation. Rising traffic density and increasingly volatile, localized weather make real-time, en route decision-making critical for efficiency, safety, and resilience. System of Systems thinking and peer-to-peer (P2P) communication can enable aircraft to share situational data and coordinate locally, thereby reducing exposure to hazards while maintaining schedules stable.
This thesis builds and evaluates a reproducible SoS model to quantify how real-time aircraft-to-aircraft communication affects route deviation, delay, and system resilience under localized weather. It analyzes operational effect of airborne P2P coordination with transparent, lightweight models focused on en route behavior in dense corridor airspace.
The work adopted a System of Systems perspective and implemented a lightweight Python model that combines Agent-Based Modeling for aircraft behavior, Discrete Event elements for alerts and rerouting decisions, and aggregate views that echo System Dynamics through KPI trajectories. The constant metrics were then applied to compare three scenarios of P2P communication (non-existent, instant, and delayed), illustrating how localized events scale into system-wide efficiency and safety effects.
Across application cases and mesh configurations, the results were consistent: the share of aircraft affected by adverse weather decreased notably, with minimal or no increases in delay, thereby improving safety while maintaining efficiency. The effect is strongest in the instant P2P communication scenario, yet closely followed by the realistic delayed P2P scenario. The main model application case in Croatian airspace showed a decrease of aircraft affected by the adverse weather of 27%, while the mean delay remained within 3 seconds.
The findings of this thesis underline this indeed is a promising area for investing in further development. While this scenario highlights one concrete manifestation of the communication problem, the overarching aim is to assess the systemic value and the consequences of communication structures themselves, using simulation to test their impact under varying conditions. This approach allows the work to contribute not only to a specific operational case but also to the more general question of how communication capabilities shape the behavior and performance of interconnected systems.