Go-Around Prediction Service allows earlier mitigation of developing risks during the approach phase of flight.
Go-arounds or missed approaches occur thousands of times per year across major airports, increasing the workload for controllers and pilots when workloads are already peaked, causing disorder and loss of predictability.
To address this safety risk, ATAC is developing a real-time Go-Around Prediction Service (GAPS), fusing real-time data feeds and applying innovative machine learning to continuously monitor arrival operations and reliably predict probabilities of go-around occurrence and safety risks.
A key innovation is that we go beyond static prediction at approach points and provide continuously updated go-around predictions as the flight progresses to touchdown. This capability supports in-time safety assurance to avoid go-arounds or improve their safe and orderly execution, thus increasing operational safety margins.