Analysis of Risk-Based Operational Bird Strike Prevention

Bird strike prevention in civil aviation has traditionally focused on the airport perimeter. Since risk of especially damaging bird strikes outside boundaries is rising, this paper investigates safety potential operational involving pilots and controllers. In such a concept, controllers would be equipped with advisory system, allowing them to delay departures which are most vulnerable consequences case high risk. An initial study shown strong concept prevent perfect movement prediction. This takes research next level by taking into account limited predictability tracks. As such, collision avoidance algorithm extended algorithm. The calculated for birds expected cross runway center line cause aircraft damage upon impact. By specifically targeting these excluding lingering taken care local wildlife control, capacity reductions should limited, implementation remain feasible. extrapolation tracks performed simple linear regression based positions known at intended take-off times. To calculate probability collision, uncertainties resulting from variability velocity track included. demonstrates necessity limit alerts potentially crossing keep imposed delays tolerable airports operating their limits. It that predicting movements without considering individual behavior insufficient achieve safety-effect. Hence, in-depth studies multi-year data develop models reliable predictions recommended future research. facilitate system satisfying both aspects.