Assess and improve airport airside capacity by modeling ground service vehicle movements (tugs, buses, refueling trucks, baggage tractor, cargo loader, …) including rule-based allocation per flight, parking location, speed control, service duration and optimization.
Assess existing and future runway system capacity, taking into account existing demand / schedules, or demand defined as fleet mix percentages (wake turbulence %, departure / arrival %, relatve % of demand per time steps etc..
Assess and improve en-route airspace capacity by modeling en-route traffic and ATC procedures complexity. Includes rule-based modeling of controller workload (events and monitoring), conflict detection & resolution, letter of agreement, tactical re-routing and level/speed control, sector opening scheme.
Assess and improve airport terminal airspace capacity by modeling TMA/TRACON ATC procedures as well as aircraft movements and sequencing. Includes modeling of controller workload (events and monitoring), runway system sequencing, vectoring/speed/holding based flow control etc.
Assess and improve network and flow management procedures by modeling 4D Trajectory Based Operations (4D TBOs). Includes modeling of Demand Capacity Balancing (DCB) measures (AMAN, time constraint or distance based point-in-space metering, re-routing, level capping, etc).
Support ACC supervisors’ and flow managers’ decision making by using live data to make periodic forecasts of the future traffic situation over horizons of a few hours, including data visualisations, charts and alerts to indicate sector overload situations. Analyze What-If scenarios by testing alternative sector configurations.