Optimizing moving sectors Optimizing moving sectors through trajectory adjustments via Grey-Wolf-Optimization to mitigate air traffic complexity in moving sectors.
Master thesis defense Outstanding Master's Thesis on Munich Airport Modeling by Ms. Leonie-Sophie Pohle
Tutorial Chair: Simon Göppel Simon Göppel led a mixed reality tutorial at the International Conference on Research in Air Transportation (ICRAT).
A framework for dynamic air traffic management: optimizing trajectories under constraints Presentation of a Master Thesis on the development of an algorithm for dynamic obstacle avoidance based on convex hull geometry.
Complexity Metrics for Moving Sectors Evaluation of complexity metrics for moving sectors calculated from simulated air traffic of the Singapore FIR.
Investigating Moving Sectors and Complexity Metrics in Japanese Airspace Moving sectors are investigated and assessed for the Japanese Airspace, using complexity metrics and real air traffic data.
debris hazard corridor for air/ space traffic management The growing use of spacecraft and drones is straining traditional airspace management and requiring new dynamic strategies, such as DDHC, to balance safety and minimize air traffic disruptions.
student project Presentation of a project work on the coupling of different modules for trajectory calculation (Java, Python, MySQL, RabbitMQ).
efficiency assessment in European ATM We used different types of Data Envelopment Analysis to evaluate and compare the performance of European ANSPs and to develop and suggest an appropriate benchmarking approach.
time-varying queuing network for ASEAN free-route airspace A time-varying queuing network was modeled and applied to ASEAN free-route airspace. The model shows a 45% reduction in potential conflicts.
introduction of moving sectors Moving sectors are introduced to improve airspace management by efficiently aligning traffic flows and grouping flights using realistic traffic patterns from the Singapore FIR.
