This study establishes a foundation for determining the complexity of moving sectors, a key element of efficient flow-centric air traffic flow management. We apply complexity metrics for moving sectors derived from simulated air traffic of the Singapore FIR.

Successful Student Visit to Munich Airport

This study applies three developed complexity metrics to the Japanese sector-based airspace, which serves as a benchmark for the evaluation of moving sectors. Our results indicate that moving sectors could reduce peak loads by aggregating homogeneous traffic flows.

We presented our research results at the DATS Workshop on Digital Air Traffic Services, addressing "Moving Metrics: How to Evaluate Complex Traffic Scenarios".

Delays deriving from airport ground operations at the aircraft stand possess the capacity to propagate and consequently escalate across the intricate air traffic network. This knock-on effect often exerts a significant detrimental influence on downstream flights and airports.

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.

This paper delves into the rising use of location-aware radio communication systems to streamline operational processes. We propose a hybrid deterministic and stochastic simulation approach, incorporating model-based ray-tracing and empirical residual simulation.

Presentation of a project work on the coupling of different modules for trajectory calculation (Java, Python, MySQL, RabbitMQ).

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.

A time-varying queuing network was modeled and applied to ASEAN free-route airspace. The model shows a 45% reduction in potential conflicts.

Moving sectors are introduced to improve airspace management by efficiently aligning traffic flows and grouping flights using realistic traffic patterns from the Singapore FIR.

Creating traffic flows that minimize congestion (hot spots) and enable flow-centric operations is important for future air traffic control.